marianna13
commited on
Upload folder using huggingface_hub
Browse files- README.md +61 -0
- all_results.json +8 -0
- config.json +27 -0
- generation_config.json +6 -0
- model-00001-of-00003.safetensors +3 -0
- model-00002-of-00003.safetensors +3 -0
- model-00003-of-00003.safetensors +3 -0
- model.safetensors.index.json +298 -0
- special_tokens_map.json +24 -0
- tokenizer.json +0 -0
- tokenizer.model +3 -0
- tokenizer_config.json +0 -0
- train_results.json +8 -0
- trainer_log.jsonl +192 -0
- trainer_state.json +1120 -0
- training_args.bin +3 -0
README.md
ADDED
@@ -0,0 +1,61 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
library_name: transformers
|
3 |
+
license: other
|
4 |
+
base_model: mistralai/Mistral-7B-v0.3
|
5 |
+
tags:
|
6 |
+
- llama-factory
|
7 |
+
- full
|
8 |
+
- generated_from_trainer
|
9 |
+
model-index:
|
10 |
+
- name: oh-mistral-bs512_lr2.00E-06_schedulerconstant_warmup5.00E-02_minlr
|
11 |
+
results: []
|
12 |
+
---
|
13 |
+
|
14 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
15 |
+
should probably proofread and complete it, then remove this comment. -->
|
16 |
+
|
17 |
+
# oh-mistral-bs512_lr2.00E-06_schedulerconstant_warmup5.00E-02_minlr
|
18 |
+
|
19 |
+
This model is a fine-tuned version of [mistralai/Mistral-7B-v0.3](https://huggingface.co/mistralai/Mistral-7B-v0.3) on the mlfoundations-dev/oh-dcft-v3.1-gpt-4o-mini dataset.
|
20 |
+
|
21 |
+
## Model description
|
22 |
+
|
23 |
+
More information needed
|
24 |
+
|
25 |
+
## Intended uses & limitations
|
26 |
+
|
27 |
+
More information needed
|
28 |
+
|
29 |
+
## Training and evaluation data
|
30 |
+
|
31 |
+
More information needed
|
32 |
+
|
33 |
+
## Training procedure
|
34 |
+
|
35 |
+
### Training hyperparameters
|
36 |
+
|
37 |
+
The following hyperparameters were used during training:
|
38 |
+
- learning_rate: 2e-06
|
39 |
+
- train_batch_size: 8
|
40 |
+
- eval_batch_size: 8
|
41 |
+
- seed: 42
|
42 |
+
- distributed_type: multi-GPU
|
43 |
+
- num_devices: 32
|
44 |
+
- gradient_accumulation_steps: 2
|
45 |
+
- total_train_batch_size: 512
|
46 |
+
- total_eval_batch_size: 256
|
47 |
+
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
|
48 |
+
- lr_scheduler_type: constant
|
49 |
+
- lr_scheduler_warmup_ratio: 0.05
|
50 |
+
- num_epochs: 3.0
|
51 |
+
|
52 |
+
### Training results
|
53 |
+
|
54 |
+
|
55 |
+
|
56 |
+
### Framework versions
|
57 |
+
|
58 |
+
- Transformers 4.46.1
|
59 |
+
- Pytorch 2.5.0a0+b465a5843b.nv24.09
|
60 |
+
- Datasets 3.0.2
|
61 |
+
- Tokenizers 0.20.3
|
all_results.json
ADDED
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 3.0,
|
3 |
+
"total_flos": 2591282618695680.0,
|
4 |
+
"train_loss": 0.1541580106552873,
|
5 |
+
"train_runtime": 7454.5076,
|
6 |
+
"train_samples_per_second": 106.232,
|
7 |
+
"train_steps_per_second": 0.208
|
8 |
+
}
|
config.json
ADDED
@@ -0,0 +1,27 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "/p/data1/mmlaion/marianna/models/mistralai/Mistral-7B-v0.3",
|
3 |
+
"architectures": [
|
4 |
+
"MistralForCausalLM"
|
5 |
+
],
|
6 |
+
"attention_dropout": 0.0,
|
7 |
+
"bos_token_id": 1,
|
8 |
+
"eos_token_id": 2,
|
9 |
+
"head_dim": 128,
|
10 |
+
"hidden_act": "silu",
|
11 |
+
"hidden_size": 4096,
|
12 |
+
"initializer_range": 0.02,
|
13 |
+
"intermediate_size": 14336,
|
14 |
+
"max_position_embeddings": 32768,
|
15 |
+
"model_type": "mistral",
|
16 |
+
"num_attention_heads": 32,
|
17 |
+
"num_hidden_layers": 32,
|
18 |
+
"num_key_value_heads": 8,
|
19 |
+
"rms_norm_eps": 1e-05,
|
20 |
+
"rope_theta": 1000000.0,
|
21 |
+
"sliding_window": null,
|
22 |
+
"tie_word_embeddings": false,
|
23 |
+
"torch_dtype": "bfloat16",
|
24 |
+
"transformers_version": "4.46.1",
|
25 |
+
"use_cache": false,
|
26 |
+
"vocab_size": 32768
|
27 |
+
}
|
generation_config.json
ADDED
@@ -0,0 +1,6 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_from_model_config": true,
|
3 |
+
"bos_token_id": 1,
|
4 |
+
"eos_token_id": 2,
|
5 |
+
"transformers_version": "4.46.1"
|
6 |
+
}
|
model-00001-of-00003.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:649ea13a50cba9e7a69e6d1c171db07cacf3b31f1bc995997f7615734f955081
|
3 |
+
size 4949453792
|
model-00002-of-00003.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:584b6ce9965f30b4cbb750ad54e44c5adcb32389211b120187250335c0a820ee
|
3 |
+
size 4999819336
|
model-00003-of-00003.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:ec34d56a5f035f3d657343a9735b9559b9480abc219aee6674e28a68c439c66f
|
3 |
+
size 4546807800
|
model.safetensors.index.json
ADDED
@@ -0,0 +1,298 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"metadata": {
|
3 |
+
"total_size": 14496047104
|
4 |
+
},
|
5 |
+
"weight_map": {
|
6 |
+
"lm_head.weight": "model-00003-of-00003.safetensors",
|
7 |
+
"model.embed_tokens.weight": "model-00001-of-00003.safetensors",
|
8 |
+
"model.layers.0.input_layernorm.weight": "model-00001-of-00003.safetensors",
|
9 |
+
"model.layers.0.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
|
10 |
+
"model.layers.0.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
|
11 |
+
"model.layers.0.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
|
12 |
+
"model.layers.0.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
|
13 |
+
"model.layers.0.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
|
14 |
+
"model.layers.0.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
|
15 |
+
"model.layers.0.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
|
16 |
+
"model.layers.0.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
|
17 |
+
"model.layers.1.input_layernorm.weight": "model-00001-of-00003.safetensors",
|
18 |
+
"model.layers.1.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
|
19 |
+
"model.layers.1.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
|
20 |
+
"model.layers.1.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
|
21 |
+
"model.layers.1.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
|
22 |
+
"model.layers.1.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
|
23 |
+
"model.layers.1.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
|
24 |
+
"model.layers.1.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
|
25 |
+
"model.layers.1.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
|
26 |
+
"model.layers.10.input_layernorm.weight": "model-00002-of-00003.safetensors",
|
27 |
+
"model.layers.10.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
|
28 |
+
"model.layers.10.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
|
29 |
+
"model.layers.10.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
|
30 |
+
"model.layers.10.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
|
31 |
+
"model.layers.10.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
|
32 |
+
"model.layers.10.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
|
33 |
+
"model.layers.10.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
|
34 |
+
"model.layers.10.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
|
35 |
+
"model.layers.11.input_layernorm.weight": "model-00002-of-00003.safetensors",
|
36 |
+
"model.layers.11.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
|
37 |
+
"model.layers.11.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
|
38 |
+
"model.layers.11.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
|
39 |
+
"model.layers.11.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
|
40 |
+
"model.layers.11.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
|
41 |
+
"model.layers.11.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
|
42 |
+
"model.layers.11.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
|
43 |
+
"model.layers.11.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
|
44 |
+
"model.layers.12.input_layernorm.weight": "model-00002-of-00003.safetensors",
|
45 |
+
"model.layers.12.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
|
46 |
+
"model.layers.12.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
|
47 |
+
"model.layers.12.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
|
48 |
+
"model.layers.12.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
|
49 |
+
"model.layers.12.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
|
50 |
+
"model.layers.12.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
|
51 |
+
"model.layers.12.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
|
52 |
+
"model.layers.12.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
|
53 |
+
"model.layers.13.input_layernorm.weight": "model-00002-of-00003.safetensors",
|
54 |
+
"model.layers.13.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
|
55 |
+
"model.layers.13.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
|
56 |
+
"model.layers.13.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
|
57 |
+
"model.layers.13.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
|
58 |
+
"model.layers.13.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
|
59 |
+
"model.layers.13.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
|
60 |
+
"model.layers.13.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
|
61 |
+
"model.layers.13.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
|
62 |
+
"model.layers.14.input_layernorm.weight": "model-00002-of-00003.safetensors",
|
63 |
+
"model.layers.14.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
|
64 |
+
"model.layers.14.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
|
65 |
+
"model.layers.14.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
|
66 |
+
"model.layers.14.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
|
67 |
+
"model.layers.14.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
|
68 |
+
"model.layers.14.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
|
69 |
+
"model.layers.14.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
|
70 |
+
"model.layers.14.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
|
71 |
+
"model.layers.15.input_layernorm.weight": "model-00002-of-00003.safetensors",
|
72 |
+
"model.layers.15.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
|
73 |
+
"model.layers.15.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
|
74 |
+
"model.layers.15.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
|
75 |
+
"model.layers.15.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
|
76 |
+
"model.layers.15.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
|
77 |
+
"model.layers.15.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
|
78 |
+
"model.layers.15.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
|
79 |
+
"model.layers.15.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
|
80 |
+
"model.layers.16.input_layernorm.weight": "model-00002-of-00003.safetensors",
|
81 |
+
"model.layers.16.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
|
82 |
+
"model.layers.16.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
|
83 |
+
"model.layers.16.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
|
84 |
+
"model.layers.16.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
|
85 |
+
"model.layers.16.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
|
86 |
+
"model.layers.16.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
|
87 |
+
"model.layers.16.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
|
88 |
+
"model.layers.16.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
|
89 |
+
"model.layers.17.input_layernorm.weight": "model-00002-of-00003.safetensors",
|
90 |
+
"model.layers.17.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
|
91 |
+
"model.layers.17.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
|
92 |
+
"model.layers.17.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
|
93 |
+
"model.layers.17.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
|
94 |
+
"model.layers.17.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
|
95 |
+
"model.layers.17.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
|
96 |
+
"model.layers.17.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
|
97 |
+
"model.layers.17.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
|
98 |
+
"model.layers.18.input_layernorm.weight": "model-00002-of-00003.safetensors",
|
99 |
+
"model.layers.18.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
|
100 |
+
"model.layers.18.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
|
101 |
+
"model.layers.18.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
|
102 |
+
"model.layers.18.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
|
103 |
+
"model.layers.18.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
|
104 |
+
"model.layers.18.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
|
105 |
+
"model.layers.18.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
|
106 |
+
"model.layers.18.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
|
107 |
+
"model.layers.19.input_layernorm.weight": "model-00002-of-00003.safetensors",
|
108 |
+
"model.layers.19.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
|
109 |
+
"model.layers.19.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
|
110 |
+
"model.layers.19.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
|
111 |
+
"model.layers.19.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
|
112 |
+
"model.layers.19.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
|
113 |
+
"model.layers.19.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
|
114 |
+
"model.layers.19.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
|
115 |
+
"model.layers.19.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
|
116 |
+
"model.layers.2.input_layernorm.weight": "model-00001-of-00003.safetensors",
|
117 |
+
"model.layers.2.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
|
118 |
+
"model.layers.2.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
|
119 |
+
"model.layers.2.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
|
120 |
+
"model.layers.2.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
|
121 |
+
"model.layers.2.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
|
122 |
+
"model.layers.2.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
|
123 |
+
"model.layers.2.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
|
124 |
+
"model.layers.2.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
|
125 |
+
"model.layers.20.input_layernorm.weight": "model-00002-of-00003.safetensors",
|
126 |
+
"model.layers.20.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
|
127 |
+
"model.layers.20.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
|
128 |
+
"model.layers.20.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
|
129 |
+
"model.layers.20.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
|
130 |
+
"model.layers.20.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
|
131 |
+
"model.layers.20.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
|
132 |
+
"model.layers.20.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
|
133 |
+
"model.layers.20.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
|
134 |
+
"model.layers.21.input_layernorm.weight": "model-00002-of-00003.safetensors",
|
135 |
+
"model.layers.21.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
|
136 |
+
"model.layers.21.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
|
137 |
+
"model.layers.21.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
|
138 |
+
"model.layers.21.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
|
139 |
+
"model.layers.21.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
|
140 |
+
"model.layers.21.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
|
141 |
+
"model.layers.21.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
|
142 |
+
"model.layers.21.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
|
143 |
+
"model.layers.22.input_layernorm.weight": "model-00003-of-00003.safetensors",
|
144 |
+
"model.layers.22.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
|
145 |
+
"model.layers.22.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
|
146 |
+
"model.layers.22.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
|
147 |
+
"model.layers.22.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
|
148 |
+
"model.layers.22.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
|
149 |
+
"model.layers.22.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
|
150 |
+
"model.layers.22.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
|
151 |
+
"model.layers.22.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
|
152 |
+
"model.layers.23.input_layernorm.weight": "model-00003-of-00003.safetensors",
|
153 |
+
"model.layers.23.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
|
154 |
+
"model.layers.23.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
|
155 |
+
"model.layers.23.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
|
156 |
+
"model.layers.23.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
|
157 |
+
"model.layers.23.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
|
158 |
+
"model.layers.23.self_attn.o_proj.weight": "model-00003-of-00003.safetensors",
|
159 |
+
"model.layers.23.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
|
160 |
+
"model.layers.23.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
|
161 |
+
"model.layers.24.input_layernorm.weight": "model-00003-of-00003.safetensors",
|
162 |
+
"model.layers.24.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
|
163 |
+
"model.layers.24.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
|
164 |
+
"model.layers.24.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
|
165 |
+
"model.layers.24.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
|
166 |
+
"model.layers.24.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
|
167 |
+
"model.layers.24.self_attn.o_proj.weight": "model-00003-of-00003.safetensors",
|
168 |
+
"model.layers.24.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
|
169 |
+
"model.layers.24.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
|
170 |
+
"model.layers.25.input_layernorm.weight": "model-00003-of-00003.safetensors",
|
171 |
+
"model.layers.25.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
|
172 |
+
"model.layers.25.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
|
173 |
+
"model.layers.25.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
|
174 |
+
"model.layers.25.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
|
175 |
+
"model.layers.25.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
|
176 |
+
"model.layers.25.self_attn.o_proj.weight": "model-00003-of-00003.safetensors",
|
177 |
+
"model.layers.25.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
|
178 |
+
"model.layers.25.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
|
179 |
+
"model.layers.26.input_layernorm.weight": "model-00003-of-00003.safetensors",
|
180 |
+
"model.layers.26.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
|
181 |
+
"model.layers.26.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
|
182 |
+
"model.layers.26.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
|
183 |
+
"model.layers.26.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
|
184 |
+
"model.layers.26.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
|
185 |
+
"model.layers.26.self_attn.o_proj.weight": "model-00003-of-00003.safetensors",
|
186 |
+
"model.layers.26.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
|
187 |
+
"model.layers.26.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
|
188 |
+
"model.layers.27.input_layernorm.weight": "model-00003-of-00003.safetensors",
|
189 |
+
"model.layers.27.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
|
190 |
+
"model.layers.27.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
|
191 |
+
"model.layers.27.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
|
192 |
+
"model.layers.27.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
|
193 |
+
"model.layers.27.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
|
194 |
+
"model.layers.27.self_attn.o_proj.weight": "model-00003-of-00003.safetensors",
|
195 |
+
"model.layers.27.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
|
196 |
+
"model.layers.27.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
|
197 |
+
"model.layers.28.input_layernorm.weight": "model-00003-of-00003.safetensors",
|
198 |
+
"model.layers.28.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
|
199 |
+
"model.layers.28.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
|
200 |
+
"model.layers.28.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
|
201 |
+
"model.layers.28.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
|
202 |
+
"model.layers.28.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
|
203 |
+
"model.layers.28.self_attn.o_proj.weight": "model-00003-of-00003.safetensors",
|
204 |
+
"model.layers.28.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
|
205 |
+
"model.layers.28.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
|
206 |
+
"model.layers.29.input_layernorm.weight": "model-00003-of-00003.safetensors",
|
207 |
+
"model.layers.29.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
|
208 |
+
"model.layers.29.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
|
209 |
+
"model.layers.29.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
|
210 |
+
"model.layers.29.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
|
211 |
+
"model.layers.29.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
|
212 |
+
"model.layers.29.self_attn.o_proj.weight": "model-00003-of-00003.safetensors",
|
213 |
+
"model.layers.29.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
|
214 |
+
"model.layers.29.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
|
215 |
+
"model.layers.3.input_layernorm.weight": "model-00001-of-00003.safetensors",
|
216 |
+
"model.layers.3.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
|
217 |
+
"model.layers.3.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
|
218 |
+
"model.layers.3.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
|
219 |
+
"model.layers.3.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
|
220 |
+
"model.layers.3.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
|
221 |
+
"model.layers.3.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
|
222 |
+
"model.layers.3.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
|
223 |
+
"model.layers.3.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
|
224 |
+
"model.layers.30.input_layernorm.weight": "model-00003-of-00003.safetensors",
|
225 |
+
"model.layers.30.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
|
226 |
+
"model.layers.30.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
|
227 |
+
"model.layers.30.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
|
228 |
+
"model.layers.30.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
|
229 |
+
"model.layers.30.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
|
230 |
+
"model.layers.30.self_attn.o_proj.weight": "model-00003-of-00003.safetensors",
|
231 |
+
"model.layers.30.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
|
232 |
+
"model.layers.30.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
|
233 |
+
"model.layers.31.input_layernorm.weight": "model-00003-of-00003.safetensors",
|
234 |
+
"model.layers.31.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
|
235 |
+
"model.layers.31.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
|
236 |
+
"model.layers.31.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
|
237 |
+
"model.layers.31.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
|
238 |
+
"model.layers.31.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
|
239 |
+
"model.layers.31.self_attn.o_proj.weight": "model-00003-of-00003.safetensors",
|
240 |
+
"model.layers.31.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
|
241 |
+
"model.layers.31.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
|
242 |
+
"model.layers.4.input_layernorm.weight": "model-00001-of-00003.safetensors",
|
243 |
+
"model.layers.4.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
|
244 |
+
"model.layers.4.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
|
245 |
+
"model.layers.4.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
|
246 |
+
"model.layers.4.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
|
247 |
+
"model.layers.4.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
|
248 |
+
"model.layers.4.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
|
249 |
+
"model.layers.4.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
|
250 |
+
"model.layers.4.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
|
251 |
+
"model.layers.5.input_layernorm.weight": "model-00001-of-00003.safetensors",
|
252 |
+
"model.layers.5.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
|
253 |
+
"model.layers.5.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
|
254 |
+
"model.layers.5.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
|
255 |
+
"model.layers.5.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
|
256 |
+
"model.layers.5.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
|
257 |
+
"model.layers.5.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
|
258 |
+
"model.layers.5.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
|
259 |
+
"model.layers.5.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
|
260 |
+
"model.layers.6.input_layernorm.weight": "model-00001-of-00003.safetensors",
|
261 |
+
"model.layers.6.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
|
262 |
+
"model.layers.6.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
|
263 |
+
"model.layers.6.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
|
264 |
+
"model.layers.6.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
|
265 |
+
"model.layers.6.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
|
266 |
+
"model.layers.6.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
|
267 |
+
"model.layers.6.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
|
268 |
+
"model.layers.6.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
|
269 |
+
"model.layers.7.input_layernorm.weight": "model-00001-of-00003.safetensors",
|
270 |
+
"model.layers.7.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
|
271 |
+
"model.layers.7.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
|
272 |
+
"model.layers.7.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
|
273 |
+
"model.layers.7.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
|
274 |
+
"model.layers.7.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
|
275 |
+
"model.layers.7.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
|
276 |
+
"model.layers.7.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
|
277 |
+
"model.layers.7.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
|
278 |
+
"model.layers.8.input_layernorm.weight": "model-00001-of-00003.safetensors",
|
279 |
+
"model.layers.8.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
|
280 |
+
"model.layers.8.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
|
281 |
+
"model.layers.8.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
|
282 |
+
"model.layers.8.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
|
283 |
+
"model.layers.8.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
|
284 |
+
"model.layers.8.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
|
285 |
+
"model.layers.8.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
|
286 |
+
"model.layers.8.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
|
287 |
+
"model.layers.9.input_layernorm.weight": "model-00001-of-00003.safetensors",
|
288 |
+
"model.layers.9.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
|
289 |
+
"model.layers.9.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
|
290 |
+
"model.layers.9.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
|
291 |
+
"model.layers.9.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
|
292 |
+
"model.layers.9.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
|
293 |
+
"model.layers.9.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
|
294 |
+
"model.layers.9.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
|
295 |
+
"model.layers.9.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
|
296 |
+
"model.norm.weight": "model-00003-of-00003.safetensors"
|
297 |
+
}
|
298 |
+
}
|
special_tokens_map.json
ADDED
@@ -0,0 +1,24 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"bos_token": {
|
3 |
+
"content": "<s>",
|
4 |
+
"lstrip": false,
|
5 |
+
"normalized": false,
|
6 |
+
"rstrip": false,
|
7 |
+
"single_word": false
|
8 |
+
},
|
9 |
+
"eos_token": {
|
10 |
+
"content": "</s>",
|
11 |
+
"lstrip": false,
|
12 |
+
"normalized": false,
|
13 |
+
"rstrip": false,
|
14 |
+
"single_word": false
|
15 |
+
},
|
16 |
+
"pad_token": "</s>",
|
17 |
+
"unk_token": {
|
18 |
+
"content": "<unk>",
|
19 |
+
"lstrip": false,
|
20 |
+
"normalized": false,
|
21 |
+
"rstrip": false,
|
22 |
+
"single_word": false
|
23 |
+
}
|
24 |
+
}
|
tokenizer.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|
tokenizer.model
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:37f00374dea48658ee8f5d0f21895b9bc55cb0103939607c8185bfd1c6ca1f89
|
3 |
+
size 587404
|
tokenizer_config.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|
train_results.json
ADDED
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 3.0,
|
3 |
+
"total_flos": 2591282618695680.0,
|
4 |
+
"train_loss": 0.1541580106552873,
|
5 |
+
"train_runtime": 7454.5076,
|
6 |
+
"train_samples_per_second": 106.232,
|
7 |
+
"train_steps_per_second": 0.208
|
8 |
+
}
|
trainer_log.jsonl
ADDED
@@ -0,0 +1,192 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{"current_steps": 10, "total_steps": 1548, "loss": 0.7225, "learning_rate": 2e-06, "epoch": 0.01937984496124031, "percentage": 0.65, "elapsed_time": "0:02:27", "remaining_time": "6:18:14"}
|
2 |
+
{"current_steps": 20, "total_steps": 1548, "loss": 0.6518, "learning_rate": 2e-06, "epoch": 0.03875968992248062, "percentage": 1.29, "elapsed_time": "0:04:53", "remaining_time": "6:13:23"}
|
3 |
+
{"current_steps": 30, "total_steps": 1548, "loss": 0.6267, "learning_rate": 2e-06, "epoch": 0.05813953488372093, "percentage": 1.94, "elapsed_time": "0:07:17", "remaining_time": "6:09:06"}
|
4 |
+
{"current_steps": 40, "total_steps": 1548, "loss": 0.6193, "learning_rate": 2e-06, "epoch": 0.07751937984496124, "percentage": 2.58, "elapsed_time": "0:09:41", "remaining_time": "6:05:17"}
|
5 |
+
{"current_steps": 50, "total_steps": 1548, "loss": 0.6139, "learning_rate": 2e-06, "epoch": 0.09689922480620156, "percentage": 3.23, "elapsed_time": "0:12:04", "remaining_time": "6:01:58"}
|
6 |
+
{"current_steps": 60, "total_steps": 1548, "loss": 0.6069, "learning_rate": 2e-06, "epoch": 0.11627906976744186, "percentage": 3.88, "elapsed_time": "0:14:29", "remaining_time": "5:59:12"}
|
7 |
+
{"current_steps": 70, "total_steps": 1548, "loss": 0.6024, "learning_rate": 2e-06, "epoch": 0.13565891472868216, "percentage": 4.52, "elapsed_time": "0:16:52", "remaining_time": "5:56:24"}
|
8 |
+
{"current_steps": 80, "total_steps": 1548, "loss": 0.6052, "learning_rate": 2e-06, "epoch": 0.15503875968992248, "percentage": 5.17, "elapsed_time": "0:19:16", "remaining_time": "5:53:44"}
|
9 |
+
{"current_steps": 90, "total_steps": 1548, "loss": 0.5906, "learning_rate": 2e-06, "epoch": 0.1744186046511628, "percentage": 5.81, "elapsed_time": "0:21:39", "remaining_time": "5:50:57"}
|
10 |
+
{"current_steps": 100, "total_steps": 1548, "loss": 0.5929, "learning_rate": 2e-06, "epoch": 0.1937984496124031, "percentage": 6.46, "elapsed_time": "0:24:04", "remaining_time": "5:48:40"}
|
11 |
+
{"current_steps": 110, "total_steps": 1548, "loss": 0.5958, "learning_rate": 2e-06, "epoch": 0.2131782945736434, "percentage": 7.11, "elapsed_time": "0:26:29", "remaining_time": "5:46:21"}
|
12 |
+
{"current_steps": 120, "total_steps": 1548, "loss": 0.587, "learning_rate": 2e-06, "epoch": 0.23255813953488372, "percentage": 7.75, "elapsed_time": "0:28:54", "remaining_time": "5:43:57"}
|
13 |
+
{"current_steps": 130, "total_steps": 1548, "loss": 0.5972, "learning_rate": 2e-06, "epoch": 0.25193798449612403, "percentage": 8.4, "elapsed_time": "0:31:18", "remaining_time": "5:41:31"}
|
14 |
+
{"current_steps": 140, "total_steps": 1548, "loss": 0.5837, "learning_rate": 2e-06, "epoch": 0.2713178294573643, "percentage": 9.04, "elapsed_time": "0:33:43", "remaining_time": "5:39:08"}
|
15 |
+
{"current_steps": 150, "total_steps": 1548, "loss": 0.5837, "learning_rate": 2e-06, "epoch": 0.29069767441860467, "percentage": 9.69, "elapsed_time": "0:36:07", "remaining_time": "5:36:43"}
|
16 |
+
{"current_steps": 160, "total_steps": 1548, "loss": 0.5824, "learning_rate": 2e-06, "epoch": 0.31007751937984496, "percentage": 10.34, "elapsed_time": "0:38:30", "remaining_time": "5:34:04"}
|
17 |
+
{"current_steps": 170, "total_steps": 1548, "loss": 0.5776, "learning_rate": 2e-06, "epoch": 0.32945736434108525, "percentage": 10.98, "elapsed_time": "0:41:00", "remaining_time": "5:32:23"}
|
18 |
+
{"current_steps": 180, "total_steps": 1548, "loss": 0.5817, "learning_rate": 2e-06, "epoch": 0.3488372093023256, "percentage": 11.63, "elapsed_time": "0:43:24", "remaining_time": "5:29:53"}
|
19 |
+
{"current_steps": 190, "total_steps": 1548, "loss": 0.5745, "learning_rate": 2e-06, "epoch": 0.3682170542635659, "percentage": 12.27, "elapsed_time": "0:45:48", "remaining_time": "5:27:21"}
|
20 |
+
{"current_steps": 200, "total_steps": 1548, "loss": 0.5822, "learning_rate": 2e-06, "epoch": 0.3875968992248062, "percentage": 12.92, "elapsed_time": "0:48:12", "remaining_time": "5:24:55"}
|
21 |
+
{"current_steps": 210, "total_steps": 1548, "loss": 0.5803, "learning_rate": 2e-06, "epoch": 0.4069767441860465, "percentage": 13.57, "elapsed_time": "0:50:37", "remaining_time": "5:22:30"}
|
22 |
+
{"current_steps": 220, "total_steps": 1548, "loss": 0.5683, "learning_rate": 2e-06, "epoch": 0.4263565891472868, "percentage": 14.21, "elapsed_time": "0:53:01", "remaining_time": "5:20:03"}
|
23 |
+
{"current_steps": 230, "total_steps": 1548, "loss": 0.5669, "learning_rate": 2e-06, "epoch": 0.44573643410852715, "percentage": 14.86, "elapsed_time": "0:55:24", "remaining_time": "5:17:32"}
|
24 |
+
{"current_steps": 240, "total_steps": 1548, "loss": 0.5711, "learning_rate": 2e-06, "epoch": 0.46511627906976744, "percentage": 15.5, "elapsed_time": "0:57:48", "remaining_time": "5:15:01"}
|
25 |
+
{"current_steps": 250, "total_steps": 1548, "loss": 0.5715, "learning_rate": 2e-06, "epoch": 0.4844961240310077, "percentage": 16.15, "elapsed_time": "1:00:12", "remaining_time": "5:12:36"}
|
26 |
+
{"current_steps": 260, "total_steps": 1548, "loss": 0.5706, "learning_rate": 2e-06, "epoch": 0.5038759689922481, "percentage": 16.8, "elapsed_time": "1:02:36", "remaining_time": "5:10:09"}
|
27 |
+
{"current_steps": 270, "total_steps": 1548, "loss": 0.5711, "learning_rate": 2e-06, "epoch": 0.5232558139534884, "percentage": 17.44, "elapsed_time": "1:05:00", "remaining_time": "5:07:42"}
|
28 |
+
{"current_steps": 280, "total_steps": 1548, "loss": 0.5665, "learning_rate": 2e-06, "epoch": 0.5426356589147286, "percentage": 18.09, "elapsed_time": "1:07:24", "remaining_time": "5:05:13"}
|
29 |
+
{"current_steps": 290, "total_steps": 1548, "loss": 0.5685, "learning_rate": 2e-06, "epoch": 0.562015503875969, "percentage": 18.73, "elapsed_time": "1:09:50", "remaining_time": "5:02:59"}
|
30 |
+
{"current_steps": 300, "total_steps": 1548, "loss": 0.5767, "learning_rate": 2e-06, "epoch": 0.5813953488372093, "percentage": 19.38, "elapsed_time": "1:12:14", "remaining_time": "5:00:29"}
|
31 |
+
{"current_steps": 310, "total_steps": 1548, "loss": 0.5639, "learning_rate": 2e-06, "epoch": 0.6007751937984496, "percentage": 20.03, "elapsed_time": "1:14:36", "remaining_time": "4:57:59"}
|
32 |
+
{"current_steps": 320, "total_steps": 1548, "loss": 0.5613, "learning_rate": 2e-06, "epoch": 0.6201550387596899, "percentage": 20.67, "elapsed_time": "1:17:00", "remaining_time": "4:55:32"}
|
33 |
+
{"current_steps": 330, "total_steps": 1548, "loss": 0.5629, "learning_rate": 2e-06, "epoch": 0.6395348837209303, "percentage": 21.32, "elapsed_time": "1:19:24", "remaining_time": "4:53:05"}
|
34 |
+
{"current_steps": 340, "total_steps": 1548, "loss": 0.5591, "learning_rate": 2e-06, "epoch": 0.6589147286821705, "percentage": 21.96, "elapsed_time": "1:21:47", "remaining_time": "4:50:36"}
|
35 |
+
{"current_steps": 350, "total_steps": 1548, "loss": 0.5561, "learning_rate": 2e-06, "epoch": 0.6782945736434108, "percentage": 22.61, "elapsed_time": "1:24:11", "remaining_time": "4:48:10"}
|
36 |
+
{"current_steps": 360, "total_steps": 1548, "loss": 0.561, "learning_rate": 2e-06, "epoch": 0.6976744186046512, "percentage": 23.26, "elapsed_time": "1:26:33", "remaining_time": "4:45:40"}
|
37 |
+
{"current_steps": 370, "total_steps": 1548, "loss": 0.5662, "learning_rate": 2e-06, "epoch": 0.7170542635658915, "percentage": 23.9, "elapsed_time": "1:28:56", "remaining_time": "4:43:08"}
|
38 |
+
{"current_steps": 380, "total_steps": 1548, "loss": 0.5671, "learning_rate": 2e-06, "epoch": 0.7364341085271318, "percentage": 24.55, "elapsed_time": "1:31:19", "remaining_time": "4:40:41"}
|
39 |
+
{"current_steps": 390, "total_steps": 1548, "loss": 0.5568, "learning_rate": 2e-06, "epoch": 0.7558139534883721, "percentage": 25.19, "elapsed_time": "1:33:42", "remaining_time": "4:38:14"}
|
40 |
+
{"current_steps": 400, "total_steps": 1548, "loss": 0.5581, "learning_rate": 2e-06, "epoch": 0.7751937984496124, "percentage": 25.84, "elapsed_time": "1:36:05", "remaining_time": "4:35:47"}
|
41 |
+
{"current_steps": 410, "total_steps": 1548, "loss": 0.5637, "learning_rate": 2e-06, "epoch": 0.7945736434108527, "percentage": 26.49, "elapsed_time": "1:38:28", "remaining_time": "4:33:18"}
|
42 |
+
{"current_steps": 420, "total_steps": 1548, "loss": 0.5582, "learning_rate": 2e-06, "epoch": 0.813953488372093, "percentage": 27.13, "elapsed_time": "1:40:50", "remaining_time": "4:30:49"}
|
43 |
+
{"current_steps": 430, "total_steps": 1548, "loss": 0.5612, "learning_rate": 2e-06, "epoch": 0.8333333333333334, "percentage": 27.78, "elapsed_time": "1:43:16", "remaining_time": "4:28:30"}
|
44 |
+
{"current_steps": 440, "total_steps": 1548, "loss": 0.5588, "learning_rate": 2e-06, "epoch": 0.8527131782945736, "percentage": 28.42, "elapsed_time": "1:45:39", "remaining_time": "4:26:04"}
|
45 |
+
{"current_steps": 450, "total_steps": 1548, "loss": 0.5621, "learning_rate": 2e-06, "epoch": 0.872093023255814, "percentage": 29.07, "elapsed_time": "1:48:03", "remaining_time": "4:23:39"}
|
46 |
+
{"current_steps": 460, "total_steps": 1548, "loss": 0.5513, "learning_rate": 2e-06, "epoch": 0.8914728682170543, "percentage": 29.72, "elapsed_time": "1:50:26", "remaining_time": "4:21:13"}
|
47 |
+
{"current_steps": 470, "total_steps": 1548, "loss": 0.5577, "learning_rate": 2e-06, "epoch": 0.9108527131782945, "percentage": 30.36, "elapsed_time": "1:52:49", "remaining_time": "4:18:46"}
|
48 |
+
{"current_steps": 480, "total_steps": 1548, "loss": 0.5584, "learning_rate": 2e-06, "epoch": 0.9302325581395349, "percentage": 31.01, "elapsed_time": "1:55:12", "remaining_time": "4:16:21"}
|
49 |
+
{"current_steps": 490, "total_steps": 1548, "loss": 0.5517, "learning_rate": 2e-06, "epoch": 0.9496124031007752, "percentage": 31.65, "elapsed_time": "1:57:39", "remaining_time": "4:14:02"}
|
50 |
+
{"current_steps": 500, "total_steps": 1548, "loss": 0.5528, "learning_rate": 2e-06, "epoch": 0.9689922480620154, "percentage": 32.3, "elapsed_time": "2:00:02", "remaining_time": "4:11:37"}
|
51 |
+
{"current_steps": 510, "total_steps": 1548, "loss": 0.5573, "learning_rate": 2e-06, "epoch": 0.9883720930232558, "percentage": 32.95, "elapsed_time": "2:02:26", "remaining_time": "4:09:11"}
|
52 |
+
{"current_steps": 520, "total_steps": 1548, "loss": 0.5359, "learning_rate": 2e-06, "epoch": 1.0077519379844961, "percentage": 33.59, "elapsed_time": "2:05:12", "remaining_time": "4:07:31"}
|
53 |
+
{"current_steps": 530, "total_steps": 1548, "loss": 0.5096, "learning_rate": 2e-06, "epoch": 1.0271317829457365, "percentage": 34.24, "elapsed_time": "2:07:35", "remaining_time": "4:05:04"}
|
54 |
+
{"current_steps": 540, "total_steps": 1548, "loss": 0.5072, "learning_rate": 2e-06, "epoch": 1.0465116279069768, "percentage": 34.88, "elapsed_time": "2:09:59", "remaining_time": "4:02:38"}
|
55 |
+
{"current_steps": 550, "total_steps": 1548, "loss": 0.5052, "learning_rate": 2e-06, "epoch": 1.0658914728682172, "percentage": 35.53, "elapsed_time": "2:12:23", "remaining_time": "4:00:12"}
|
56 |
+
{"current_steps": 560, "total_steps": 1548, "loss": 0.5169, "learning_rate": 2e-06, "epoch": 1.0852713178294573, "percentage": 36.18, "elapsed_time": "2:14:45", "remaining_time": "3:57:45"}
|
57 |
+
{"current_steps": 570, "total_steps": 1548, "loss": 0.5102, "learning_rate": 2e-06, "epoch": 1.1046511627906976, "percentage": 36.82, "elapsed_time": "2:17:08", "remaining_time": "3:55:18"}
|
58 |
+
{"current_steps": 580, "total_steps": 1548, "loss": 0.5038, "learning_rate": 2e-06, "epoch": 1.124031007751938, "percentage": 37.47, "elapsed_time": "2:19:30", "remaining_time": "3:52:50"}
|
59 |
+
{"current_steps": 590, "total_steps": 1548, "loss": 0.5034, "learning_rate": 2e-06, "epoch": 1.1434108527131783, "percentage": 38.11, "elapsed_time": "2:21:54", "remaining_time": "3:50:24"}
|
60 |
+
{"current_steps": 600, "total_steps": 1548, "loss": 0.5038, "learning_rate": 2e-06, "epoch": 1.1627906976744187, "percentage": 38.76, "elapsed_time": "2:24:17", "remaining_time": "3:47:58"}
|
61 |
+
{"current_steps": 610, "total_steps": 1548, "loss": 0.5137, "learning_rate": 2e-06, "epoch": 1.1821705426356588, "percentage": 39.41, "elapsed_time": "2:26:40", "remaining_time": "3:45:32"}
|
62 |
+
{"current_steps": 620, "total_steps": 1548, "loss": 0.5076, "learning_rate": 2e-06, "epoch": 1.2015503875968991, "percentage": 40.05, "elapsed_time": "2:29:03", "remaining_time": "3:43:06"}
|
63 |
+
{"current_steps": 630, "total_steps": 1548, "loss": 0.5077, "learning_rate": 2e-06, "epoch": 1.2209302325581395, "percentage": 40.7, "elapsed_time": "2:31:27", "remaining_time": "3:40:41"}
|
64 |
+
{"current_steps": 640, "total_steps": 1548, "loss": 0.5083, "learning_rate": 2e-06, "epoch": 1.2403100775193798, "percentage": 41.34, "elapsed_time": "2:33:50", "remaining_time": "3:38:15"}
|
65 |
+
{"current_steps": 650, "total_steps": 1548, "loss": 0.5096, "learning_rate": 2e-06, "epoch": 1.2596899224806202, "percentage": 41.99, "elapsed_time": "2:36:13", "remaining_time": "3:35:49"}
|
66 |
+
{"current_steps": 660, "total_steps": 1548, "loss": 0.5063, "learning_rate": 2e-06, "epoch": 1.2790697674418605, "percentage": 42.64, "elapsed_time": "2:38:36", "remaining_time": "3:33:23"}
|
67 |
+
{"current_steps": 670, "total_steps": 1548, "loss": 0.5122, "learning_rate": 2e-06, "epoch": 1.2984496124031009, "percentage": 43.28, "elapsed_time": "2:41:00", "remaining_time": "3:30:58"}
|
68 |
+
{"current_steps": 680, "total_steps": 1548, "loss": 0.5121, "learning_rate": 2e-06, "epoch": 1.3178294573643412, "percentage": 43.93, "elapsed_time": "2:43:23", "remaining_time": "3:28:34"}
|
69 |
+
{"current_steps": 690, "total_steps": 1548, "loss": 0.5089, "learning_rate": 2e-06, "epoch": 1.3372093023255813, "percentage": 44.57, "elapsed_time": "2:45:47", "remaining_time": "3:26:09"}
|
70 |
+
{"current_steps": 700, "total_steps": 1548, "loss": 0.5099, "learning_rate": 2e-06, "epoch": 1.3565891472868217, "percentage": 45.22, "elapsed_time": "2:48:10", "remaining_time": "3:23:44"}
|
71 |
+
{"current_steps": 710, "total_steps": 1548, "loss": 0.5134, "learning_rate": 2e-06, "epoch": 1.375968992248062, "percentage": 45.87, "elapsed_time": "2:50:34", "remaining_time": "3:21:19"}
|
72 |
+
{"current_steps": 720, "total_steps": 1548, "loss": 0.5123, "learning_rate": 2e-06, "epoch": 1.3953488372093024, "percentage": 46.51, "elapsed_time": "2:52:57", "remaining_time": "3:18:54"}
|
73 |
+
{"current_steps": 730, "total_steps": 1548, "loss": 0.5078, "learning_rate": 2e-06, "epoch": 1.4147286821705427, "percentage": 47.16, "elapsed_time": "2:55:20", "remaining_time": "3:16:29"}
|
74 |
+
{"current_steps": 740, "total_steps": 1548, "loss": 0.5137, "learning_rate": 2e-06, "epoch": 1.4341085271317828, "percentage": 47.8, "elapsed_time": "2:57:44", "remaining_time": "3:14:04"}
|
75 |
+
{"current_steps": 750, "total_steps": 1548, "loss": 0.5094, "learning_rate": 2e-06, "epoch": 1.4534883720930232, "percentage": 48.45, "elapsed_time": "3:00:08", "remaining_time": "3:11:39"}
|
76 |
+
{"current_steps": 760, "total_steps": 1548, "loss": 0.5063, "learning_rate": 2e-06, "epoch": 1.4728682170542635, "percentage": 49.1, "elapsed_time": "3:02:30", "remaining_time": "3:09:14"}
|
77 |
+
{"current_steps": 770, "total_steps": 1548, "loss": 0.5097, "learning_rate": 2e-06, "epoch": 1.4922480620155039, "percentage": 49.74, "elapsed_time": "3:04:53", "remaining_time": "3:06:48"}
|
78 |
+
{"current_steps": 780, "total_steps": 1548, "loss": 0.5127, "learning_rate": 2e-06, "epoch": 1.5116279069767442, "percentage": 50.39, "elapsed_time": "3:07:18", "remaining_time": "3:04:25"}
|
79 |
+
{"current_steps": 790, "total_steps": 1548, "loss": 0.5097, "learning_rate": 2e-06, "epoch": 1.5310077519379846, "percentage": 51.03, "elapsed_time": "3:09:43", "remaining_time": "3:02:02"}
|
80 |
+
{"current_steps": 800, "total_steps": 1548, "loss": 0.507, "learning_rate": 2e-06, "epoch": 1.550387596899225, "percentage": 51.68, "elapsed_time": "3:12:08", "remaining_time": "2:59:39"}
|
81 |
+
{"current_steps": 810, "total_steps": 1548, "loss": 0.5052, "learning_rate": 2e-06, "epoch": 1.5697674418604652, "percentage": 52.33, "elapsed_time": "3:14:34", "remaining_time": "2:57:16"}
|
82 |
+
{"current_steps": 820, "total_steps": 1548, "loss": 0.5039, "learning_rate": 2e-06, "epoch": 1.5891472868217056, "percentage": 52.97, "elapsed_time": "3:16:59", "remaining_time": "2:54:53"}
|
83 |
+
{"current_steps": 830, "total_steps": 1548, "loss": 0.512, "learning_rate": 2e-06, "epoch": 1.6085271317829457, "percentage": 53.62, "elapsed_time": "3:19:23", "remaining_time": "2:52:29"}
|
84 |
+
{"current_steps": 840, "total_steps": 1548, "loss": 0.5066, "learning_rate": 2e-06, "epoch": 1.627906976744186, "percentage": 54.26, "elapsed_time": "3:21:49", "remaining_time": "2:50:06"}
|
85 |
+
{"current_steps": 850, "total_steps": 1548, "loss": 0.5113, "learning_rate": 2e-06, "epoch": 1.6472868217054264, "percentage": 54.91, "elapsed_time": "3:24:14", "remaining_time": "2:47:43"}
|
86 |
+
{"current_steps": 860, "total_steps": 1548, "loss": 0.5137, "learning_rate": 2e-06, "epoch": 1.6666666666666665, "percentage": 55.56, "elapsed_time": "3:26:39", "remaining_time": "2:45:19"}
|
87 |
+
{"current_steps": 870, "total_steps": 1548, "loss": 0.506, "learning_rate": 2e-06, "epoch": 1.6860465116279069, "percentage": 56.2, "elapsed_time": "3:29:04", "remaining_time": "2:42:55"}
|
88 |
+
{"current_steps": 880, "total_steps": 1548, "loss": 0.5107, "learning_rate": 2e-06, "epoch": 1.7054263565891472, "percentage": 56.85, "elapsed_time": "3:31:29", "remaining_time": "2:40:32"}
|
89 |
+
{"current_steps": 890, "total_steps": 1548, "loss": 0.5099, "learning_rate": 2e-06, "epoch": 1.7248062015503876, "percentage": 57.49, "elapsed_time": "3:33:54", "remaining_time": "2:38:09"}
|
90 |
+
{"current_steps": 900, "total_steps": 1548, "loss": 0.5139, "learning_rate": 2e-06, "epoch": 1.744186046511628, "percentage": 58.14, "elapsed_time": "3:36:21", "remaining_time": "2:35:46"}
|
91 |
+
{"current_steps": 910, "total_steps": 1548, "loss": 0.5059, "learning_rate": 2e-06, "epoch": 1.7635658914728682, "percentage": 58.79, "elapsed_time": "3:38:46", "remaining_time": "2:33:22"}
|
92 |
+
{"current_steps": 920, "total_steps": 1548, "loss": 0.5088, "learning_rate": 2e-06, "epoch": 1.7829457364341086, "percentage": 59.43, "elapsed_time": "3:41:10", "remaining_time": "2:30:58"}
|
93 |
+
{"current_steps": 930, "total_steps": 1548, "loss": 0.5096, "learning_rate": 2e-06, "epoch": 1.802325581395349, "percentage": 60.08, "elapsed_time": "3:43:35", "remaining_time": "2:28:35"}
|
94 |
+
{"current_steps": 940, "total_steps": 1548, "loss": 0.5077, "learning_rate": 2e-06, "epoch": 1.8217054263565893, "percentage": 60.72, "elapsed_time": "3:46:01", "remaining_time": "2:26:11"}
|
95 |
+
{"current_steps": 950, "total_steps": 1548, "loss": 0.5102, "learning_rate": 2e-06, "epoch": 1.8410852713178296, "percentage": 61.37, "elapsed_time": "3:48:26", "remaining_time": "2:23:47"}
|
96 |
+
{"current_steps": 960, "total_steps": 1548, "loss": 0.512, "learning_rate": 2e-06, "epoch": 1.8604651162790697, "percentage": 62.02, "elapsed_time": "3:50:51", "remaining_time": "2:21:24"}
|
97 |
+
{"current_steps": 970, "total_steps": 1548, "loss": 0.5096, "learning_rate": 2e-06, "epoch": 1.87984496124031, "percentage": 62.66, "elapsed_time": "3:53:16", "remaining_time": "2:19:00"}
|
98 |
+
{"current_steps": 980, "total_steps": 1548, "loss": 0.5057, "learning_rate": 2e-06, "epoch": 1.8992248062015504, "percentage": 63.31, "elapsed_time": "3:55:41", "remaining_time": "2:16:36"}
|
99 |
+
{"current_steps": 990, "total_steps": 1548, "loss": 0.5118, "learning_rate": 2e-06, "epoch": 1.9186046511627906, "percentage": 63.95, "elapsed_time": "3:58:07", "remaining_time": "2:14:12"}
|
100 |
+
{"current_steps": 1000, "total_steps": 1548, "loss": 0.5092, "learning_rate": 2e-06, "epoch": 1.937984496124031, "percentage": 64.6, "elapsed_time": "4:00:31", "remaining_time": "2:11:48"}
|
101 |
+
{"current_steps": 1010, "total_steps": 1548, "loss": 0.5104, "learning_rate": 2e-06, "epoch": 1.9573643410852712, "percentage": 65.25, "elapsed_time": "4:02:57", "remaining_time": "2:09:25"}
|
102 |
+
{"current_steps": 1020, "total_steps": 1548, "loss": 0.5059, "learning_rate": 2e-06, "epoch": 1.9767441860465116, "percentage": 65.89, "elapsed_time": "4:05:23", "remaining_time": "2:07:01"}
|
103 |
+
{"current_steps": 1030, "total_steps": 1548, "loss": 0.51, "learning_rate": 2e-06, "epoch": 1.996124031007752, "percentage": 66.54, "elapsed_time": "4:07:48", "remaining_time": "2:04:37"}
|
104 |
+
{"current_steps": 1040, "total_steps": 1548, "loss": 0.4691, "learning_rate": 2e-06, "epoch": 2.0155038759689923, "percentage": 67.18, "elapsed_time": "4:10:40", "remaining_time": "2:02:26"}
|
105 |
+
{"current_steps": 1050, "total_steps": 1548, "loss": 0.4585, "learning_rate": 2e-06, "epoch": 2.0348837209302326, "percentage": 67.83, "elapsed_time": "4:13:06", "remaining_time": "2:00:02"}
|
106 |
+
{"current_steps": 1060, "total_steps": 1548, "loss": 0.4571, "learning_rate": 2e-06, "epoch": 2.054263565891473, "percentage": 68.48, "elapsed_time": "4:15:30", "remaining_time": "1:57:37"}
|
107 |
+
{"current_steps": 1070, "total_steps": 1548, "loss": 0.4591, "learning_rate": 2e-06, "epoch": 2.0736434108527133, "percentage": 69.12, "elapsed_time": "4:17:55", "remaining_time": "1:55:13"}
|
108 |
+
{"current_steps": 1080, "total_steps": 1548, "loss": 0.4538, "learning_rate": 2e-06, "epoch": 2.0930232558139537, "percentage": 69.77, "elapsed_time": "4:20:19", "remaining_time": "1:52:48"}
|
109 |
+
{"current_steps": 1090, "total_steps": 1548, "loss": 0.4568, "learning_rate": 2e-06, "epoch": 2.112403100775194, "percentage": 70.41, "elapsed_time": "4:22:43", "remaining_time": "1:50:23"}
|
110 |
+
{"current_steps": 1100, "total_steps": 1548, "loss": 0.4564, "learning_rate": 2e-06, "epoch": 2.1317829457364343, "percentage": 71.06, "elapsed_time": "4:25:07", "remaining_time": "1:47:58"}
|
111 |
+
{"current_steps": 1110, "total_steps": 1548, "loss": 0.4598, "learning_rate": 2e-06, "epoch": 2.1511627906976742, "percentage": 71.71, "elapsed_time": "4:27:31", "remaining_time": "1:45:33"}
|
112 |
+
{"current_steps": 1120, "total_steps": 1548, "loss": 0.4612, "learning_rate": 2e-06, "epoch": 2.1705426356589146, "percentage": 72.35, "elapsed_time": "4:29:56", "remaining_time": "1:43:09"}
|
113 |
+
{"current_steps": 1130, "total_steps": 1548, "loss": 0.4583, "learning_rate": 2e-06, "epoch": 2.189922480620155, "percentage": 73.0, "elapsed_time": "4:32:19", "remaining_time": "1:40:44"}
|
114 |
+
{"current_steps": 1140, "total_steps": 1548, "loss": 0.4568, "learning_rate": 2e-06, "epoch": 2.2093023255813953, "percentage": 73.64, "elapsed_time": "4:34:43", "remaining_time": "1:38:19"}
|
115 |
+
{"current_steps": 1150, "total_steps": 1548, "loss": 0.4594, "learning_rate": 2e-06, "epoch": 2.2286821705426356, "percentage": 74.29, "elapsed_time": "4:37:07", "remaining_time": "1:35:54"}
|
116 |
+
{"current_steps": 1160, "total_steps": 1548, "loss": 0.4571, "learning_rate": 2e-06, "epoch": 2.248062015503876, "percentage": 74.94, "elapsed_time": "4:39:32", "remaining_time": "1:33:30"}
|
117 |
+
{"current_steps": 1170, "total_steps": 1548, "loss": 0.4577, "learning_rate": 2e-06, "epoch": 2.2674418604651163, "percentage": 75.58, "elapsed_time": "4:41:56", "remaining_time": "1:31:05"}
|
118 |
+
{"current_steps": 1180, "total_steps": 1548, "loss": 0.4649, "learning_rate": 2e-06, "epoch": 2.2868217054263567, "percentage": 76.23, "elapsed_time": "4:44:21", "remaining_time": "1:28:40"}
|
119 |
+
{"current_steps": 1190, "total_steps": 1548, "loss": 0.4601, "learning_rate": 2e-06, "epoch": 2.306201550387597, "percentage": 76.87, "elapsed_time": "4:46:46", "remaining_time": "1:26:16"}
|
120 |
+
{"current_steps": 1200, "total_steps": 1548, "loss": 0.4564, "learning_rate": 2e-06, "epoch": 2.3255813953488373, "percentage": 77.52, "elapsed_time": "4:49:11", "remaining_time": "1:23:51"}
|
121 |
+
{"current_steps": 1210, "total_steps": 1548, "loss": 0.4605, "learning_rate": 2e-06, "epoch": 2.3449612403100777, "percentage": 78.17, "elapsed_time": "4:51:35", "remaining_time": "1:21:27"}
|
122 |
+
{"current_steps": 1220, "total_steps": 1548, "loss": 0.4639, "learning_rate": 2e-06, "epoch": 2.3643410852713176, "percentage": 78.81, "elapsed_time": "4:53:59", "remaining_time": "1:19:02"}
|
123 |
+
{"current_steps": 1230, "total_steps": 1548, "loss": 0.4591, "learning_rate": 2e-06, "epoch": 2.383720930232558, "percentage": 79.46, "elapsed_time": "4:56:23", "remaining_time": "1:16:37"}
|
124 |
+
{"current_steps": 1240, "total_steps": 1548, "loss": 0.4655, "learning_rate": 2e-06, "epoch": 2.4031007751937983, "percentage": 80.1, "elapsed_time": "4:58:47", "remaining_time": "1:14:13"}
|
125 |
+
{"current_steps": 1250, "total_steps": 1548, "loss": 0.46, "learning_rate": 2e-06, "epoch": 2.4224806201550386, "percentage": 80.75, "elapsed_time": "5:01:11", "remaining_time": "1:11:48"}
|
126 |
+
{"current_steps": 1260, "total_steps": 1548, "loss": 0.462, "learning_rate": 2e-06, "epoch": 2.441860465116279, "percentage": 81.4, "elapsed_time": "5:03:34", "remaining_time": "1:09:23"}
|
127 |
+
{"current_steps": 1270, "total_steps": 1548, "loss": 0.4637, "learning_rate": 2e-06, "epoch": 2.4612403100775193, "percentage": 82.04, "elapsed_time": "5:05:57", "remaining_time": "1:06:58"}
|
128 |
+
{"current_steps": 1280, "total_steps": 1548, "loss": 0.4639, "learning_rate": 2e-06, "epoch": 2.4806201550387597, "percentage": 82.69, "elapsed_time": "5:08:21", "remaining_time": "1:04:33"}
|
129 |
+
{"current_steps": 1290, "total_steps": 1548, "loss": 0.4573, "learning_rate": 2e-06, "epoch": 2.5, "percentage": 83.33, "elapsed_time": "5:10:46", "remaining_time": "1:02:09"}
|
130 |
+
{"current_steps": 1300, "total_steps": 1548, "loss": 0.4643, "learning_rate": 2e-06, "epoch": 2.5193798449612403, "percentage": 83.98, "elapsed_time": "5:13:10", "remaining_time": "0:59:44"}
|
131 |
+
{"current_steps": 1310, "total_steps": 1548, "loss": 0.4579, "learning_rate": 2e-06, "epoch": 2.5387596899224807, "percentage": 84.63, "elapsed_time": "5:15:35", "remaining_time": "0:57:20"}
|
132 |
+
{"current_steps": 1320, "total_steps": 1548, "loss": 0.4701, "learning_rate": 2e-06, "epoch": 2.558139534883721, "percentage": 85.27, "elapsed_time": "5:17:59", "remaining_time": "0:54:55"}
|
133 |
+
{"current_steps": 1330, "total_steps": 1548, "loss": 0.4622, "learning_rate": 2e-06, "epoch": 2.5775193798449614, "percentage": 85.92, "elapsed_time": "5:20:24", "remaining_time": "0:52:31"}
|
134 |
+
{"current_steps": 1340, "total_steps": 1548, "loss": 0.4708, "learning_rate": 2e-06, "epoch": 2.5968992248062017, "percentage": 86.56, "elapsed_time": "5:22:48", "remaining_time": "0:50:06"}
|
135 |
+
{"current_steps": 1350, "total_steps": 1548, "loss": 0.4622, "learning_rate": 2e-06, "epoch": 2.616279069767442, "percentage": 87.21, "elapsed_time": "5:25:12", "remaining_time": "0:47:41"}
|
136 |
+
{"current_steps": 1360, "total_steps": 1548, "loss": 0.459, "learning_rate": 2e-06, "epoch": 2.6356589147286824, "percentage": 87.86, "elapsed_time": "5:27:36", "remaining_time": "0:45:17"}
|
137 |
+
{"current_steps": 1370, "total_steps": 1548, "loss": 0.4597, "learning_rate": 2e-06, "epoch": 2.6550387596899228, "percentage": 88.5, "elapsed_time": "5:30:00", "remaining_time": "0:42:52"}
|
138 |
+
{"current_steps": 1380, "total_steps": 1548, "loss": 0.468, "learning_rate": 2e-06, "epoch": 2.6744186046511627, "percentage": 89.15, "elapsed_time": "5:32:23", "remaining_time": "0:40:27"}
|
139 |
+
{"current_steps": 1390, "total_steps": 1548, "loss": 0.4598, "learning_rate": 2e-06, "epoch": 2.693798449612403, "percentage": 89.79, "elapsed_time": "5:34:47", "remaining_time": "0:38:03"}
|
140 |
+
{"current_steps": 1400, "total_steps": 1548, "loss": 0.4678, "learning_rate": 2e-06, "epoch": 2.7131782945736433, "percentage": 90.44, "elapsed_time": "5:37:12", "remaining_time": "0:35:38"}
|
141 |
+
{"current_steps": 1040, "total_steps": 1548, "loss": 0.4603, "learning_rate": 2e-06, "epoch": 2.0155038759689923, "percentage": 67.18, "elapsed_time": "0:01:55", "remaining_time": "0:00:56"}
|
142 |
+
{"current_steps": 1050, "total_steps": 1548, "loss": 0.4585, "learning_rate": 2e-06, "epoch": 2.0348837209302326, "percentage": 67.83, "elapsed_time": "0:04:19", "remaining_time": "0:02:02"}
|
143 |
+
{"current_steps": 1060, "total_steps": 1548, "loss": 0.4571, "learning_rate": 2e-06, "epoch": 2.054263565891473, "percentage": 68.48, "elapsed_time": "0:06:43", "remaining_time": "0:03:05"}
|
144 |
+
{"current_steps": 1070, "total_steps": 1548, "loss": 0.4591, "learning_rate": 2e-06, "epoch": 2.0736434108527133, "percentage": 69.12, "elapsed_time": "0:09:07", "remaining_time": "0:04:04"}
|
145 |
+
{"current_steps": 1080, "total_steps": 1548, "loss": 0.4537, "learning_rate": 2e-06, "epoch": 2.0930232558139537, "percentage": 69.77, "elapsed_time": "0:11:30", "remaining_time": "0:04:59"}
|
146 |
+
{"current_steps": 1090, "total_steps": 1548, "loss": 0.4567, "learning_rate": 2e-06, "epoch": 2.112403100775194, "percentage": 70.41, "elapsed_time": "0:13:53", "remaining_time": "0:05:50"}
|
147 |
+
{"current_steps": 1100, "total_steps": 1548, "loss": 0.4564, "learning_rate": 2e-06, "epoch": 2.1317829457364343, "percentage": 71.06, "elapsed_time": "0:16:16", "remaining_time": "0:06:37"}
|
148 |
+
{"current_steps": 1110, "total_steps": 1548, "loss": 0.4597, "learning_rate": 2e-06, "epoch": 2.1511627906976742, "percentage": 71.71, "elapsed_time": "0:18:40", "remaining_time": "0:07:22"}
|
149 |
+
{"current_steps": 1120, "total_steps": 1548, "loss": 0.4613, "learning_rate": 2e-06, "epoch": 2.1705426356589146, "percentage": 72.35, "elapsed_time": "0:21:04", "remaining_time": "0:08:03"}
|
150 |
+
{"current_steps": 1130, "total_steps": 1548, "loss": 0.4582, "learning_rate": 2e-06, "epoch": 2.189922480620155, "percentage": 73.0, "elapsed_time": "0:23:28", "remaining_time": "0:08:41"}
|
151 |
+
{"current_steps": 1140, "total_steps": 1548, "loss": 0.4567, "learning_rate": 2e-06, "epoch": 2.2093023255813953, "percentage": 73.64, "elapsed_time": "0:25:53", "remaining_time": "0:09:15"}
|
152 |
+
{"current_steps": 1150, "total_steps": 1548, "loss": 0.4593, "learning_rate": 2e-06, "epoch": 2.2286821705426356, "percentage": 74.29, "elapsed_time": "0:28:17", "remaining_time": "0:09:47"}
|
153 |
+
{"current_steps": 1160, "total_steps": 1548, "loss": 0.4571, "learning_rate": 2e-06, "epoch": 2.248062015503876, "percentage": 74.94, "elapsed_time": "0:30:41", "remaining_time": "0:10:15"}
|
154 |
+
{"current_steps": 1170, "total_steps": 1548, "loss": 0.4576, "learning_rate": 2e-06, "epoch": 2.2674418604651163, "percentage": 75.58, "elapsed_time": "0:33:05", "remaining_time": "0:10:41"}
|
155 |
+
{"current_steps": 1180, "total_steps": 1548, "loss": 0.4648, "learning_rate": 2e-06, "epoch": 2.2868217054263567, "percentage": 76.23, "elapsed_time": "0:35:29", "remaining_time": "0:11:04"}
|
156 |
+
{"current_steps": 1190, "total_steps": 1548, "loss": 0.46, "learning_rate": 2e-06, "epoch": 2.306201550387597, "percentage": 76.87, "elapsed_time": "0:37:52", "remaining_time": "0:11:23"}
|
157 |
+
{"current_steps": 1200, "total_steps": 1548, "loss": 0.4564, "learning_rate": 2e-06, "epoch": 2.3255813953488373, "percentage": 77.52, "elapsed_time": "0:40:16", "remaining_time": "0:11:40"}
|
158 |
+
{"current_steps": 1210, "total_steps": 1548, "loss": 0.4605, "learning_rate": 2e-06, "epoch": 2.3449612403100777, "percentage": 78.17, "elapsed_time": "0:42:41", "remaining_time": "0:11:55"}
|
159 |
+
{"current_steps": 1220, "total_steps": 1548, "loss": 0.4639, "learning_rate": 2e-06, "epoch": 2.3643410852713176, "percentage": 78.81, "elapsed_time": "0:45:05", "remaining_time": "0:12:07"}
|
160 |
+
{"current_steps": 1230, "total_steps": 1548, "loss": 0.4591, "learning_rate": 2e-06, "epoch": 2.383720930232558, "percentage": 79.46, "elapsed_time": "0:47:29", "remaining_time": "0:12:16"}
|
161 |
+
{"current_steps": 1240, "total_steps": 1548, "loss": 0.4654, "learning_rate": 2e-06, "epoch": 2.4031007751937983, "percentage": 80.1, "elapsed_time": "0:49:54", "remaining_time": "0:12:23"}
|
162 |
+
{"current_steps": 1250, "total_steps": 1548, "loss": 0.46, "learning_rate": 2e-06, "epoch": 2.4224806201550386, "percentage": 80.75, "elapsed_time": "0:52:17", "remaining_time": "0:12:27"}
|
163 |
+
{"current_steps": 1260, "total_steps": 1548, "loss": 0.462, "learning_rate": 2e-06, "epoch": 2.441860465116279, "percentage": 81.4, "elapsed_time": "0:54:41", "remaining_time": "0:12:30"}
|
164 |
+
{"current_steps": 1270, "total_steps": 1548, "loss": 0.4636, "learning_rate": 2e-06, "epoch": 2.4612403100775193, "percentage": 82.04, "elapsed_time": "0:57:05", "remaining_time": "0:12:29"}
|
165 |
+
{"current_steps": 1280, "total_steps": 1548, "loss": 0.4637, "learning_rate": 2e-06, "epoch": 2.4806201550387597, "percentage": 82.69, "elapsed_time": "0:59:29", "remaining_time": "0:12:27"}
|
166 |
+
{"current_steps": 1290, "total_steps": 1548, "loss": 0.4572, "learning_rate": 2e-06, "epoch": 2.5, "percentage": 83.33, "elapsed_time": "1:01:53", "remaining_time": "0:12:22"}
|
167 |
+
{"current_steps": 1300, "total_steps": 1548, "loss": 0.4643, "learning_rate": 2e-06, "epoch": 2.5193798449612403, "percentage": 83.98, "elapsed_time": "1:04:16", "remaining_time": "0:12:15"}
|
168 |
+
{"current_steps": 1310, "total_steps": 1548, "loss": 0.458, "learning_rate": 2e-06, "epoch": 2.5387596899224807, "percentage": 84.63, "elapsed_time": "1:06:40", "remaining_time": "0:12:06"}
|
169 |
+
{"current_steps": 1320, "total_steps": 1548, "loss": 0.4702, "learning_rate": 2e-06, "epoch": 2.558139534883721, "percentage": 85.27, "elapsed_time": "1:09:03", "remaining_time": "0:11:55"}
|
170 |
+
{"current_steps": 1330, "total_steps": 1548, "loss": 0.4622, "learning_rate": 2e-06, "epoch": 2.5775193798449614, "percentage": 85.92, "elapsed_time": "1:11:26", "remaining_time": "0:11:42"}
|
171 |
+
{"current_steps": 1340, "total_steps": 1548, "loss": 0.4708, "learning_rate": 2e-06, "epoch": 2.5968992248062017, "percentage": 86.56, "elapsed_time": "1:13:48", "remaining_time": "0:11:27"}
|
172 |
+
{"current_steps": 1350, "total_steps": 1548, "loss": 0.4622, "learning_rate": 2e-06, "epoch": 2.616279069767442, "percentage": 87.21, "elapsed_time": "1:16:11", "remaining_time": "0:11:10"}
|
173 |
+
{"current_steps": 1360, "total_steps": 1548, "loss": 0.459, "learning_rate": 2e-06, "epoch": 2.6356589147286824, "percentage": 87.86, "elapsed_time": "1:18:34", "remaining_time": "0:10:51"}
|
174 |
+
{"current_steps": 1370, "total_steps": 1548, "loss": 0.4597, "learning_rate": 2e-06, "epoch": 2.6550387596899228, "percentage": 88.5, "elapsed_time": "1:20:57", "remaining_time": "0:10:31"}
|
175 |
+
{"current_steps": 1380, "total_steps": 1548, "loss": 0.468, "learning_rate": 2e-06, "epoch": 2.6744186046511627, "percentage": 89.15, "elapsed_time": "1:23:19", "remaining_time": "0:10:08"}
|
176 |
+
{"current_steps": 1390, "total_steps": 1548, "loss": 0.4598, "learning_rate": 2e-06, "epoch": 2.693798449612403, "percentage": 89.79, "elapsed_time": "1:25:42", "remaining_time": "0:09:44"}
|
177 |
+
{"current_steps": 1400, "total_steps": 1548, "loss": 0.4678, "learning_rate": 2e-06, "epoch": 2.7131782945736433, "percentage": 90.44, "elapsed_time": "1:28:05", "remaining_time": "0:09:18"}
|
178 |
+
{"current_steps": 1410, "total_steps": 1548, "loss": 0.4594, "learning_rate": 2e-06, "epoch": 2.7325581395348837, "percentage": 91.09, "elapsed_time": "1:30:27", "remaining_time": "0:08:51"}
|
179 |
+
{"current_steps": 1420, "total_steps": 1548, "loss": 0.4613, "learning_rate": 2e-06, "epoch": 2.751937984496124, "percentage": 91.73, "elapsed_time": "1:32:50", "remaining_time": "0:08:22"}
|
180 |
+
{"current_steps": 1430, "total_steps": 1548, "loss": 0.4667, "learning_rate": 2e-06, "epoch": 2.7713178294573644, "percentage": 92.38, "elapsed_time": "1:35:13", "remaining_time": "0:07:51"}
|
181 |
+
{"current_steps": 1440, "total_steps": 1548, "loss": 0.4656, "learning_rate": 2e-06, "epoch": 2.7906976744186047, "percentage": 93.02, "elapsed_time": "1:37:35", "remaining_time": "0:07:19"}
|
182 |
+
{"current_steps": 1450, "total_steps": 1548, "loss": 0.463, "learning_rate": 2e-06, "epoch": 2.810077519379845, "percentage": 93.67, "elapsed_time": "1:39:58", "remaining_time": "0:06:45"}
|
183 |
+
{"current_steps": 1460, "total_steps": 1548, "loss": 0.4703, "learning_rate": 2e-06, "epoch": 2.8294573643410854, "percentage": 94.32, "elapsed_time": "1:42:20", "remaining_time": "0:06:10"}
|
184 |
+
{"current_steps": 1470, "total_steps": 1548, "loss": 0.4661, "learning_rate": 2e-06, "epoch": 2.8488372093023253, "percentage": 94.96, "elapsed_time": "1:44:43", "remaining_time": "0:05:33"}
|
185 |
+
{"current_steps": 1480, "total_steps": 1548, "loss": 0.4667, "learning_rate": 2e-06, "epoch": 2.8682170542635657, "percentage": 95.61, "elapsed_time": "1:47:06", "remaining_time": "0:04:55"}
|
186 |
+
{"current_steps": 1490, "total_steps": 1548, "loss": 0.4692, "learning_rate": 2e-06, "epoch": 2.887596899224806, "percentage": 96.25, "elapsed_time": "1:49:30", "remaining_time": "0:04:15"}
|
187 |
+
{"current_steps": 1500, "total_steps": 1548, "loss": 0.4585, "learning_rate": 2e-06, "epoch": 2.9069767441860463, "percentage": 96.9, "elapsed_time": "1:51:53", "remaining_time": "0:03:34"}
|
188 |
+
{"current_steps": 1510, "total_steps": 1548, "loss": 0.4627, "learning_rate": 2e-06, "epoch": 2.9263565891472867, "percentage": 97.55, "elapsed_time": "1:54:16", "remaining_time": "0:02:52"}
|
189 |
+
{"current_steps": 1520, "total_steps": 1548, "loss": 0.4679, "learning_rate": 2e-06, "epoch": 2.945736434108527, "percentage": 98.19, "elapsed_time": "1:56:39", "remaining_time": "0:02:08"}
|
190 |
+
{"current_steps": 1530, "total_steps": 1548, "loss": 0.463, "learning_rate": 2e-06, "epoch": 2.9651162790697674, "percentage": 98.84, "elapsed_time": "1:59:02", "remaining_time": "0:01:24"}
|
191 |
+
{"current_steps": 1540, "total_steps": 1548, "loss": 0.468, "learning_rate": 2e-06, "epoch": 2.9844961240310077, "percentage": 99.48, "elapsed_time": "2:01:25", "remaining_time": "0:00:37"}
|
192 |
+
{"current_steps": 1548, "total_steps": 1548, "epoch": 3.0, "percentage": 100.0, "elapsed_time": "2:04:08", "remaining_time": "0:00:00"}
|
trainer_state.json
ADDED
@@ -0,0 +1,1120 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": null,
|
3 |
+
"best_model_checkpoint": null,
|
4 |
+
"epoch": 3.0,
|
5 |
+
"eval_steps": 500,
|
6 |
+
"global_step": 1548,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.01937984496124031,
|
13 |
+
"grad_norm": 3.1349940241372636,
|
14 |
+
"learning_rate": 2e-06,
|
15 |
+
"loss": 0.7225,
|
16 |
+
"step": 10
|
17 |
+
},
|
18 |
+
{
|
19 |
+
"epoch": 0.03875968992248062,
|
20 |
+
"grad_norm": 1.478554813389481,
|
21 |
+
"learning_rate": 2e-06,
|
22 |
+
"loss": 0.6518,
|
23 |
+
"step": 20
|
24 |
+
},
|
25 |
+
{
|
26 |
+
"epoch": 0.05813953488372093,
|
27 |
+
"grad_norm": 1.40892259720196,
|
28 |
+
"learning_rate": 2e-06,
|
29 |
+
"loss": 0.6267,
|
30 |
+
"step": 30
|
31 |
+
},
|
32 |
+
{
|
33 |
+
"epoch": 0.07751937984496124,
|
34 |
+
"grad_norm": 1.6253951402557405,
|
35 |
+
"learning_rate": 2e-06,
|
36 |
+
"loss": 0.6193,
|
37 |
+
"step": 40
|
38 |
+
},
|
39 |
+
{
|
40 |
+
"epoch": 0.09689922480620156,
|
41 |
+
"grad_norm": 1.474392955252126,
|
42 |
+
"learning_rate": 2e-06,
|
43 |
+
"loss": 0.6139,
|
44 |
+
"step": 50
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 0.11627906976744186,
|
48 |
+
"grad_norm": 3.0751907911279477,
|
49 |
+
"learning_rate": 2e-06,
|
50 |
+
"loss": 0.6069,
|
51 |
+
"step": 60
|
52 |
+
},
|
53 |
+
{
|
54 |
+
"epoch": 0.13565891472868216,
|
55 |
+
"grad_norm": 2.9223888412970873,
|
56 |
+
"learning_rate": 2e-06,
|
57 |
+
"loss": 0.6024,
|
58 |
+
"step": 70
|
59 |
+
},
|
60 |
+
{
|
61 |
+
"epoch": 0.15503875968992248,
|
62 |
+
"grad_norm": 2.357095375310306,
|
63 |
+
"learning_rate": 2e-06,
|
64 |
+
"loss": 0.6052,
|
65 |
+
"step": 80
|
66 |
+
},
|
67 |
+
{
|
68 |
+
"epoch": 0.1744186046511628,
|
69 |
+
"grad_norm": 1.3933025656894271,
|
70 |
+
"learning_rate": 2e-06,
|
71 |
+
"loss": 0.5906,
|
72 |
+
"step": 90
|
73 |
+
},
|
74 |
+
{
|
75 |
+
"epoch": 0.1937984496124031,
|
76 |
+
"grad_norm": 1.820645926185548,
|
77 |
+
"learning_rate": 2e-06,
|
78 |
+
"loss": 0.5929,
|
79 |
+
"step": 100
|
80 |
+
},
|
81 |
+
{
|
82 |
+
"epoch": 0.2131782945736434,
|
83 |
+
"grad_norm": 1.7924399526821087,
|
84 |
+
"learning_rate": 2e-06,
|
85 |
+
"loss": 0.5958,
|
86 |
+
"step": 110
|
87 |
+
},
|
88 |
+
{
|
89 |
+
"epoch": 0.23255813953488372,
|
90 |
+
"grad_norm": 1.7736991192509453,
|
91 |
+
"learning_rate": 2e-06,
|
92 |
+
"loss": 0.587,
|
93 |
+
"step": 120
|
94 |
+
},
|
95 |
+
{
|
96 |
+
"epoch": 0.25193798449612403,
|
97 |
+
"grad_norm": 1.9201526538063434,
|
98 |
+
"learning_rate": 2e-06,
|
99 |
+
"loss": 0.5972,
|
100 |
+
"step": 130
|
101 |
+
},
|
102 |
+
{
|
103 |
+
"epoch": 0.2713178294573643,
|
104 |
+
"grad_norm": 1.9904730096438479,
|
105 |
+
"learning_rate": 2e-06,
|
106 |
+
"loss": 0.5837,
|
107 |
+
"step": 140
|
108 |
+
},
|
109 |
+
{
|
110 |
+
"epoch": 0.29069767441860467,
|
111 |
+
"grad_norm": 1.706489075036192,
|
112 |
+
"learning_rate": 2e-06,
|
113 |
+
"loss": 0.5837,
|
114 |
+
"step": 150
|
115 |
+
},
|
116 |
+
{
|
117 |
+
"epoch": 0.31007751937984496,
|
118 |
+
"grad_norm": 1.6008690300286739,
|
119 |
+
"learning_rate": 2e-06,
|
120 |
+
"loss": 0.5824,
|
121 |
+
"step": 160
|
122 |
+
},
|
123 |
+
{
|
124 |
+
"epoch": 0.32945736434108525,
|
125 |
+
"grad_norm": 1.7784490780851796,
|
126 |
+
"learning_rate": 2e-06,
|
127 |
+
"loss": 0.5776,
|
128 |
+
"step": 170
|
129 |
+
},
|
130 |
+
{
|
131 |
+
"epoch": 0.3488372093023256,
|
132 |
+
"grad_norm": 1.4254130054140608,
|
133 |
+
"learning_rate": 2e-06,
|
134 |
+
"loss": 0.5817,
|
135 |
+
"step": 180
|
136 |
+
},
|
137 |
+
{
|
138 |
+
"epoch": 0.3682170542635659,
|
139 |
+
"grad_norm": 1.4517537061348775,
|
140 |
+
"learning_rate": 2e-06,
|
141 |
+
"loss": 0.5745,
|
142 |
+
"step": 190
|
143 |
+
},
|
144 |
+
{
|
145 |
+
"epoch": 0.3875968992248062,
|
146 |
+
"grad_norm": 1.421098096153975,
|
147 |
+
"learning_rate": 2e-06,
|
148 |
+
"loss": 0.5822,
|
149 |
+
"step": 200
|
150 |
+
},
|
151 |
+
{
|
152 |
+
"epoch": 0.4069767441860465,
|
153 |
+
"grad_norm": 1.4340247949454419,
|
154 |
+
"learning_rate": 2e-06,
|
155 |
+
"loss": 0.5803,
|
156 |
+
"step": 210
|
157 |
+
},
|
158 |
+
{
|
159 |
+
"epoch": 0.4263565891472868,
|
160 |
+
"grad_norm": 1.2607995600168784,
|
161 |
+
"learning_rate": 2e-06,
|
162 |
+
"loss": 0.5683,
|
163 |
+
"step": 220
|
164 |
+
},
|
165 |
+
{
|
166 |
+
"epoch": 0.44573643410852715,
|
167 |
+
"grad_norm": 1.4088258448752224,
|
168 |
+
"learning_rate": 2e-06,
|
169 |
+
"loss": 0.5669,
|
170 |
+
"step": 230
|
171 |
+
},
|
172 |
+
{
|
173 |
+
"epoch": 0.46511627906976744,
|
174 |
+
"grad_norm": 1.4547922751942315,
|
175 |
+
"learning_rate": 2e-06,
|
176 |
+
"loss": 0.5711,
|
177 |
+
"step": 240
|
178 |
+
},
|
179 |
+
{
|
180 |
+
"epoch": 0.4844961240310077,
|
181 |
+
"grad_norm": 1.3166116102995473,
|
182 |
+
"learning_rate": 2e-06,
|
183 |
+
"loss": 0.5715,
|
184 |
+
"step": 250
|
185 |
+
},
|
186 |
+
{
|
187 |
+
"epoch": 0.5038759689922481,
|
188 |
+
"grad_norm": 1.2865076146935452,
|
189 |
+
"learning_rate": 2e-06,
|
190 |
+
"loss": 0.5706,
|
191 |
+
"step": 260
|
192 |
+
},
|
193 |
+
{
|
194 |
+
"epoch": 0.5232558139534884,
|
195 |
+
"grad_norm": 1.9514850118526776,
|
196 |
+
"learning_rate": 2e-06,
|
197 |
+
"loss": 0.5711,
|
198 |
+
"step": 270
|
199 |
+
},
|
200 |
+
{
|
201 |
+
"epoch": 0.5426356589147286,
|
202 |
+
"grad_norm": 1.3656201312041214,
|
203 |
+
"learning_rate": 2e-06,
|
204 |
+
"loss": 0.5665,
|
205 |
+
"step": 280
|
206 |
+
},
|
207 |
+
{
|
208 |
+
"epoch": 0.562015503875969,
|
209 |
+
"grad_norm": 1.2117280702790532,
|
210 |
+
"learning_rate": 2e-06,
|
211 |
+
"loss": 0.5685,
|
212 |
+
"step": 290
|
213 |
+
},
|
214 |
+
{
|
215 |
+
"epoch": 0.5813953488372093,
|
216 |
+
"grad_norm": 1.5936964457861214,
|
217 |
+
"learning_rate": 2e-06,
|
218 |
+
"loss": 0.5767,
|
219 |
+
"step": 300
|
220 |
+
},
|
221 |
+
{
|
222 |
+
"epoch": 0.6007751937984496,
|
223 |
+
"grad_norm": 1.262836540024248,
|
224 |
+
"learning_rate": 2e-06,
|
225 |
+
"loss": 0.5639,
|
226 |
+
"step": 310
|
227 |
+
},
|
228 |
+
{
|
229 |
+
"epoch": 0.6201550387596899,
|
230 |
+
"grad_norm": 1.5253983364542758,
|
231 |
+
"learning_rate": 2e-06,
|
232 |
+
"loss": 0.5613,
|
233 |
+
"step": 320
|
234 |
+
},
|
235 |
+
{
|
236 |
+
"epoch": 0.6395348837209303,
|
237 |
+
"grad_norm": 1.695119554349292,
|
238 |
+
"learning_rate": 2e-06,
|
239 |
+
"loss": 0.5629,
|
240 |
+
"step": 330
|
241 |
+
},
|
242 |
+
{
|
243 |
+
"epoch": 0.6589147286821705,
|
244 |
+
"grad_norm": 1.2779875033648296,
|
245 |
+
"learning_rate": 2e-06,
|
246 |
+
"loss": 0.5591,
|
247 |
+
"step": 340
|
248 |
+
},
|
249 |
+
{
|
250 |
+
"epoch": 0.6782945736434108,
|
251 |
+
"grad_norm": 1.6166948739589506,
|
252 |
+
"learning_rate": 2e-06,
|
253 |
+
"loss": 0.5561,
|
254 |
+
"step": 350
|
255 |
+
},
|
256 |
+
{
|
257 |
+
"epoch": 0.6976744186046512,
|
258 |
+
"grad_norm": 1.3469984241923647,
|
259 |
+
"learning_rate": 2e-06,
|
260 |
+
"loss": 0.561,
|
261 |
+
"step": 360
|
262 |
+
},
|
263 |
+
{
|
264 |
+
"epoch": 0.7170542635658915,
|
265 |
+
"grad_norm": 1.2982439077151307,
|
266 |
+
"learning_rate": 2e-06,
|
267 |
+
"loss": 0.5662,
|
268 |
+
"step": 370
|
269 |
+
},
|
270 |
+
{
|
271 |
+
"epoch": 0.7364341085271318,
|
272 |
+
"grad_norm": 1.3681013360427425,
|
273 |
+
"learning_rate": 2e-06,
|
274 |
+
"loss": 0.5671,
|
275 |
+
"step": 380
|
276 |
+
},
|
277 |
+
{
|
278 |
+
"epoch": 0.7558139534883721,
|
279 |
+
"grad_norm": 1.2116770625468472,
|
280 |
+
"learning_rate": 2e-06,
|
281 |
+
"loss": 0.5568,
|
282 |
+
"step": 390
|
283 |
+
},
|
284 |
+
{
|
285 |
+
"epoch": 0.7751937984496124,
|
286 |
+
"grad_norm": 1.433614262268133,
|
287 |
+
"learning_rate": 2e-06,
|
288 |
+
"loss": 0.5581,
|
289 |
+
"step": 400
|
290 |
+
},
|
291 |
+
{
|
292 |
+
"epoch": 0.7945736434108527,
|
293 |
+
"grad_norm": 1.1848821794193687,
|
294 |
+
"learning_rate": 2e-06,
|
295 |
+
"loss": 0.5637,
|
296 |
+
"step": 410
|
297 |
+
},
|
298 |
+
{
|
299 |
+
"epoch": 0.813953488372093,
|
300 |
+
"grad_norm": 1.3158386135055107,
|
301 |
+
"learning_rate": 2e-06,
|
302 |
+
"loss": 0.5582,
|
303 |
+
"step": 420
|
304 |
+
},
|
305 |
+
{
|
306 |
+
"epoch": 0.8333333333333334,
|
307 |
+
"grad_norm": 2.3927036985893504,
|
308 |
+
"learning_rate": 2e-06,
|
309 |
+
"loss": 0.5612,
|
310 |
+
"step": 430
|
311 |
+
},
|
312 |
+
{
|
313 |
+
"epoch": 0.8527131782945736,
|
314 |
+
"grad_norm": 1.1806090504426345,
|
315 |
+
"learning_rate": 2e-06,
|
316 |
+
"loss": 0.5588,
|
317 |
+
"step": 440
|
318 |
+
},
|
319 |
+
{
|
320 |
+
"epoch": 0.872093023255814,
|
321 |
+
"grad_norm": 1.2223208556627352,
|
322 |
+
"learning_rate": 2e-06,
|
323 |
+
"loss": 0.5621,
|
324 |
+
"step": 450
|
325 |
+
},
|
326 |
+
{
|
327 |
+
"epoch": 0.8914728682170543,
|
328 |
+
"grad_norm": 1.1512657163820463,
|
329 |
+
"learning_rate": 2e-06,
|
330 |
+
"loss": 0.5513,
|
331 |
+
"step": 460
|
332 |
+
},
|
333 |
+
{
|
334 |
+
"epoch": 0.9108527131782945,
|
335 |
+
"grad_norm": 1.1826527683444463,
|
336 |
+
"learning_rate": 2e-06,
|
337 |
+
"loss": 0.5577,
|
338 |
+
"step": 470
|
339 |
+
},
|
340 |
+
{
|
341 |
+
"epoch": 0.9302325581395349,
|
342 |
+
"grad_norm": 1.578741070129489,
|
343 |
+
"learning_rate": 2e-06,
|
344 |
+
"loss": 0.5584,
|
345 |
+
"step": 480
|
346 |
+
},
|
347 |
+
{
|
348 |
+
"epoch": 0.9496124031007752,
|
349 |
+
"grad_norm": 1.364010417258464,
|
350 |
+
"learning_rate": 2e-06,
|
351 |
+
"loss": 0.5517,
|
352 |
+
"step": 490
|
353 |
+
},
|
354 |
+
{
|
355 |
+
"epoch": 0.9689922480620154,
|
356 |
+
"grad_norm": 1.564561079833014,
|
357 |
+
"learning_rate": 2e-06,
|
358 |
+
"loss": 0.5528,
|
359 |
+
"step": 500
|
360 |
+
},
|
361 |
+
{
|
362 |
+
"epoch": 0.9883720930232558,
|
363 |
+
"grad_norm": 1.1934813597924194,
|
364 |
+
"learning_rate": 2e-06,
|
365 |
+
"loss": 0.5573,
|
366 |
+
"step": 510
|
367 |
+
},
|
368 |
+
{
|
369 |
+
"epoch": 1.0077519379844961,
|
370 |
+
"grad_norm": 2.2183985963794735,
|
371 |
+
"learning_rate": 2e-06,
|
372 |
+
"loss": 0.5359,
|
373 |
+
"step": 520
|
374 |
+
},
|
375 |
+
{
|
376 |
+
"epoch": 1.0271317829457365,
|
377 |
+
"grad_norm": 1.444929607797708,
|
378 |
+
"learning_rate": 2e-06,
|
379 |
+
"loss": 0.5096,
|
380 |
+
"step": 530
|
381 |
+
},
|
382 |
+
{
|
383 |
+
"epoch": 1.0465116279069768,
|
384 |
+
"grad_norm": 1.3333146357476189,
|
385 |
+
"learning_rate": 2e-06,
|
386 |
+
"loss": 0.5072,
|
387 |
+
"step": 540
|
388 |
+
},
|
389 |
+
{
|
390 |
+
"epoch": 1.0658914728682172,
|
391 |
+
"grad_norm": 1.1259644665340547,
|
392 |
+
"learning_rate": 2e-06,
|
393 |
+
"loss": 0.5052,
|
394 |
+
"step": 550
|
395 |
+
},
|
396 |
+
{
|
397 |
+
"epoch": 1.0852713178294573,
|
398 |
+
"grad_norm": 1.4403172490091567,
|
399 |
+
"learning_rate": 2e-06,
|
400 |
+
"loss": 0.5169,
|
401 |
+
"step": 560
|
402 |
+
},
|
403 |
+
{
|
404 |
+
"epoch": 1.1046511627906976,
|
405 |
+
"grad_norm": 1.157835174296272,
|
406 |
+
"learning_rate": 2e-06,
|
407 |
+
"loss": 0.5102,
|
408 |
+
"step": 570
|
409 |
+
},
|
410 |
+
{
|
411 |
+
"epoch": 1.124031007751938,
|
412 |
+
"grad_norm": 1.1960407146223624,
|
413 |
+
"learning_rate": 2e-06,
|
414 |
+
"loss": 0.5038,
|
415 |
+
"step": 580
|
416 |
+
},
|
417 |
+
{
|
418 |
+
"epoch": 1.1434108527131783,
|
419 |
+
"grad_norm": 1.253507090792846,
|
420 |
+
"learning_rate": 2e-06,
|
421 |
+
"loss": 0.5034,
|
422 |
+
"step": 590
|
423 |
+
},
|
424 |
+
{
|
425 |
+
"epoch": 1.1627906976744187,
|
426 |
+
"grad_norm": 1.2979047842512628,
|
427 |
+
"learning_rate": 2e-06,
|
428 |
+
"loss": 0.5038,
|
429 |
+
"step": 600
|
430 |
+
},
|
431 |
+
{
|
432 |
+
"epoch": 1.1821705426356588,
|
433 |
+
"grad_norm": 1.2576281990523717,
|
434 |
+
"learning_rate": 2e-06,
|
435 |
+
"loss": 0.5137,
|
436 |
+
"step": 610
|
437 |
+
},
|
438 |
+
{
|
439 |
+
"epoch": 1.2015503875968991,
|
440 |
+
"grad_norm": 1.2748802075166439,
|
441 |
+
"learning_rate": 2e-06,
|
442 |
+
"loss": 0.5076,
|
443 |
+
"step": 620
|
444 |
+
},
|
445 |
+
{
|
446 |
+
"epoch": 1.2209302325581395,
|
447 |
+
"grad_norm": 1.5223812042187916,
|
448 |
+
"learning_rate": 2e-06,
|
449 |
+
"loss": 0.5077,
|
450 |
+
"step": 630
|
451 |
+
},
|
452 |
+
{
|
453 |
+
"epoch": 1.2403100775193798,
|
454 |
+
"grad_norm": 1.3632540604107077,
|
455 |
+
"learning_rate": 2e-06,
|
456 |
+
"loss": 0.5083,
|
457 |
+
"step": 640
|
458 |
+
},
|
459 |
+
{
|
460 |
+
"epoch": 1.2596899224806202,
|
461 |
+
"grad_norm": 1.2321831811826818,
|
462 |
+
"learning_rate": 2e-06,
|
463 |
+
"loss": 0.5096,
|
464 |
+
"step": 650
|
465 |
+
},
|
466 |
+
{
|
467 |
+
"epoch": 1.2790697674418605,
|
468 |
+
"grad_norm": 1.3323190632353188,
|
469 |
+
"learning_rate": 2e-06,
|
470 |
+
"loss": 0.5063,
|
471 |
+
"step": 660
|
472 |
+
},
|
473 |
+
{
|
474 |
+
"epoch": 1.2984496124031009,
|
475 |
+
"grad_norm": 1.2066604050023704,
|
476 |
+
"learning_rate": 2e-06,
|
477 |
+
"loss": 0.5122,
|
478 |
+
"step": 670
|
479 |
+
},
|
480 |
+
{
|
481 |
+
"epoch": 1.3178294573643412,
|
482 |
+
"grad_norm": 1.186727847270962,
|
483 |
+
"learning_rate": 2e-06,
|
484 |
+
"loss": 0.5121,
|
485 |
+
"step": 680
|
486 |
+
},
|
487 |
+
{
|
488 |
+
"epoch": 1.3372093023255813,
|
489 |
+
"grad_norm": 1.397263671569467,
|
490 |
+
"learning_rate": 2e-06,
|
491 |
+
"loss": 0.5089,
|
492 |
+
"step": 690
|
493 |
+
},
|
494 |
+
{
|
495 |
+
"epoch": 1.3565891472868217,
|
496 |
+
"grad_norm": 1.573664700028339,
|
497 |
+
"learning_rate": 2e-06,
|
498 |
+
"loss": 0.5099,
|
499 |
+
"step": 700
|
500 |
+
},
|
501 |
+
{
|
502 |
+
"epoch": 1.375968992248062,
|
503 |
+
"grad_norm": 1.4467914138897073,
|
504 |
+
"learning_rate": 2e-06,
|
505 |
+
"loss": 0.5134,
|
506 |
+
"step": 710
|
507 |
+
},
|
508 |
+
{
|
509 |
+
"epoch": 1.3953488372093024,
|
510 |
+
"grad_norm": 1.3706902755992394,
|
511 |
+
"learning_rate": 2e-06,
|
512 |
+
"loss": 0.5123,
|
513 |
+
"step": 720
|
514 |
+
},
|
515 |
+
{
|
516 |
+
"epoch": 1.4147286821705427,
|
517 |
+
"grad_norm": 1.2411084475779852,
|
518 |
+
"learning_rate": 2e-06,
|
519 |
+
"loss": 0.5078,
|
520 |
+
"step": 730
|
521 |
+
},
|
522 |
+
{
|
523 |
+
"epoch": 1.4341085271317828,
|
524 |
+
"grad_norm": 1.5902510539142722,
|
525 |
+
"learning_rate": 2e-06,
|
526 |
+
"loss": 0.5137,
|
527 |
+
"step": 740
|
528 |
+
},
|
529 |
+
{
|
530 |
+
"epoch": 1.4534883720930232,
|
531 |
+
"grad_norm": 1.7787034613442634,
|
532 |
+
"learning_rate": 2e-06,
|
533 |
+
"loss": 0.5094,
|
534 |
+
"step": 750
|
535 |
+
},
|
536 |
+
{
|
537 |
+
"epoch": 1.4728682170542635,
|
538 |
+
"grad_norm": 1.2787619752439543,
|
539 |
+
"learning_rate": 2e-06,
|
540 |
+
"loss": 0.5063,
|
541 |
+
"step": 760
|
542 |
+
},
|
543 |
+
{
|
544 |
+
"epoch": 1.4922480620155039,
|
545 |
+
"grad_norm": 1.2898677794347344,
|
546 |
+
"learning_rate": 2e-06,
|
547 |
+
"loss": 0.5097,
|
548 |
+
"step": 770
|
549 |
+
},
|
550 |
+
{
|
551 |
+
"epoch": 1.5116279069767442,
|
552 |
+
"grad_norm": 1.2320340010541546,
|
553 |
+
"learning_rate": 2e-06,
|
554 |
+
"loss": 0.5127,
|
555 |
+
"step": 780
|
556 |
+
},
|
557 |
+
{
|
558 |
+
"epoch": 1.5310077519379846,
|
559 |
+
"grad_norm": 1.1998558863263413,
|
560 |
+
"learning_rate": 2e-06,
|
561 |
+
"loss": 0.5097,
|
562 |
+
"step": 790
|
563 |
+
},
|
564 |
+
{
|
565 |
+
"epoch": 1.550387596899225,
|
566 |
+
"grad_norm": 1.2491228211939762,
|
567 |
+
"learning_rate": 2e-06,
|
568 |
+
"loss": 0.507,
|
569 |
+
"step": 800
|
570 |
+
},
|
571 |
+
{
|
572 |
+
"epoch": 1.5697674418604652,
|
573 |
+
"grad_norm": 1.2235970378609549,
|
574 |
+
"learning_rate": 2e-06,
|
575 |
+
"loss": 0.5052,
|
576 |
+
"step": 810
|
577 |
+
},
|
578 |
+
{
|
579 |
+
"epoch": 1.5891472868217056,
|
580 |
+
"grad_norm": 1.4176990973616905,
|
581 |
+
"learning_rate": 2e-06,
|
582 |
+
"loss": 0.5039,
|
583 |
+
"step": 820
|
584 |
+
},
|
585 |
+
{
|
586 |
+
"epoch": 1.6085271317829457,
|
587 |
+
"grad_norm": 1.3149977315253063,
|
588 |
+
"learning_rate": 2e-06,
|
589 |
+
"loss": 0.512,
|
590 |
+
"step": 830
|
591 |
+
},
|
592 |
+
{
|
593 |
+
"epoch": 1.627906976744186,
|
594 |
+
"grad_norm": 1.2333272112594988,
|
595 |
+
"learning_rate": 2e-06,
|
596 |
+
"loss": 0.5066,
|
597 |
+
"step": 840
|
598 |
+
},
|
599 |
+
{
|
600 |
+
"epoch": 1.6472868217054264,
|
601 |
+
"grad_norm": 1.1574106550887124,
|
602 |
+
"learning_rate": 2e-06,
|
603 |
+
"loss": 0.5113,
|
604 |
+
"step": 850
|
605 |
+
},
|
606 |
+
{
|
607 |
+
"epoch": 1.6666666666666665,
|
608 |
+
"grad_norm": 1.418576038122765,
|
609 |
+
"learning_rate": 2e-06,
|
610 |
+
"loss": 0.5137,
|
611 |
+
"step": 860
|
612 |
+
},
|
613 |
+
{
|
614 |
+
"epoch": 1.6860465116279069,
|
615 |
+
"grad_norm": 1.187391106828372,
|
616 |
+
"learning_rate": 2e-06,
|
617 |
+
"loss": 0.506,
|
618 |
+
"step": 870
|
619 |
+
},
|
620 |
+
{
|
621 |
+
"epoch": 1.7054263565891472,
|
622 |
+
"grad_norm": 1.170649147011855,
|
623 |
+
"learning_rate": 2e-06,
|
624 |
+
"loss": 0.5107,
|
625 |
+
"step": 880
|
626 |
+
},
|
627 |
+
{
|
628 |
+
"epoch": 1.7248062015503876,
|
629 |
+
"grad_norm": 1.3798145976951228,
|
630 |
+
"learning_rate": 2e-06,
|
631 |
+
"loss": 0.5099,
|
632 |
+
"step": 890
|
633 |
+
},
|
634 |
+
{
|
635 |
+
"epoch": 1.744186046511628,
|
636 |
+
"grad_norm": 1.725987629268818,
|
637 |
+
"learning_rate": 2e-06,
|
638 |
+
"loss": 0.5139,
|
639 |
+
"step": 900
|
640 |
+
},
|
641 |
+
{
|
642 |
+
"epoch": 1.7635658914728682,
|
643 |
+
"grad_norm": 1.8813904948358928,
|
644 |
+
"learning_rate": 2e-06,
|
645 |
+
"loss": 0.5059,
|
646 |
+
"step": 910
|
647 |
+
},
|
648 |
+
{
|
649 |
+
"epoch": 1.7829457364341086,
|
650 |
+
"grad_norm": 1.8516754910417244,
|
651 |
+
"learning_rate": 2e-06,
|
652 |
+
"loss": 0.5088,
|
653 |
+
"step": 920
|
654 |
+
},
|
655 |
+
{
|
656 |
+
"epoch": 1.802325581395349,
|
657 |
+
"grad_norm": 1.2095051182172416,
|
658 |
+
"learning_rate": 2e-06,
|
659 |
+
"loss": 0.5096,
|
660 |
+
"step": 930
|
661 |
+
},
|
662 |
+
{
|
663 |
+
"epoch": 1.8217054263565893,
|
664 |
+
"grad_norm": 1.2435069711568396,
|
665 |
+
"learning_rate": 2e-06,
|
666 |
+
"loss": 0.5077,
|
667 |
+
"step": 940
|
668 |
+
},
|
669 |
+
{
|
670 |
+
"epoch": 1.8410852713178296,
|
671 |
+
"grad_norm": 1.3586556706802664,
|
672 |
+
"learning_rate": 2e-06,
|
673 |
+
"loss": 0.5102,
|
674 |
+
"step": 950
|
675 |
+
},
|
676 |
+
{
|
677 |
+
"epoch": 1.8604651162790697,
|
678 |
+
"grad_norm": 1.1979327298252027,
|
679 |
+
"learning_rate": 2e-06,
|
680 |
+
"loss": 0.512,
|
681 |
+
"step": 960
|
682 |
+
},
|
683 |
+
{
|
684 |
+
"epoch": 1.87984496124031,
|
685 |
+
"grad_norm": 1.7904993765105046,
|
686 |
+
"learning_rate": 2e-06,
|
687 |
+
"loss": 0.5096,
|
688 |
+
"step": 970
|
689 |
+
},
|
690 |
+
{
|
691 |
+
"epoch": 1.8992248062015504,
|
692 |
+
"grad_norm": 1.377601184927356,
|
693 |
+
"learning_rate": 2e-06,
|
694 |
+
"loss": 0.5057,
|
695 |
+
"step": 980
|
696 |
+
},
|
697 |
+
{
|
698 |
+
"epoch": 1.9186046511627906,
|
699 |
+
"grad_norm": 1.1816932854326225,
|
700 |
+
"learning_rate": 2e-06,
|
701 |
+
"loss": 0.5118,
|
702 |
+
"step": 990
|
703 |
+
},
|
704 |
+
{
|
705 |
+
"epoch": 1.937984496124031,
|
706 |
+
"grad_norm": 1.235638000745403,
|
707 |
+
"learning_rate": 2e-06,
|
708 |
+
"loss": 0.5092,
|
709 |
+
"step": 1000
|
710 |
+
},
|
711 |
+
{
|
712 |
+
"epoch": 1.9573643410852712,
|
713 |
+
"grad_norm": 1.2730535171048605,
|
714 |
+
"learning_rate": 2e-06,
|
715 |
+
"loss": 0.5104,
|
716 |
+
"step": 1010
|
717 |
+
},
|
718 |
+
{
|
719 |
+
"epoch": 1.9767441860465116,
|
720 |
+
"grad_norm": 1.2382473568182877,
|
721 |
+
"learning_rate": 2e-06,
|
722 |
+
"loss": 0.5059,
|
723 |
+
"step": 1020
|
724 |
+
},
|
725 |
+
{
|
726 |
+
"epoch": 1.996124031007752,
|
727 |
+
"grad_norm": 1.2856863827108878,
|
728 |
+
"learning_rate": 2e-06,
|
729 |
+
"loss": 0.51,
|
730 |
+
"step": 1030
|
731 |
+
},
|
732 |
+
{
|
733 |
+
"epoch": 2.0155038759689923,
|
734 |
+
"grad_norm": 1.6836529854231972,
|
735 |
+
"learning_rate": 2e-06,
|
736 |
+
"loss": 0.4603,
|
737 |
+
"step": 1040
|
738 |
+
},
|
739 |
+
{
|
740 |
+
"epoch": 2.0348837209302326,
|
741 |
+
"grad_norm": 1.4922089047807388,
|
742 |
+
"learning_rate": 2e-06,
|
743 |
+
"loss": 0.4585,
|
744 |
+
"step": 1050
|
745 |
+
},
|
746 |
+
{
|
747 |
+
"epoch": 2.054263565891473,
|
748 |
+
"grad_norm": 1.3990249605527378,
|
749 |
+
"learning_rate": 2e-06,
|
750 |
+
"loss": 0.4571,
|
751 |
+
"step": 1060
|
752 |
+
},
|
753 |
+
{
|
754 |
+
"epoch": 2.0736434108527133,
|
755 |
+
"grad_norm": 1.5500783972286114,
|
756 |
+
"learning_rate": 2e-06,
|
757 |
+
"loss": 0.4591,
|
758 |
+
"step": 1070
|
759 |
+
},
|
760 |
+
{
|
761 |
+
"epoch": 2.0930232558139537,
|
762 |
+
"grad_norm": 1.4063766317234851,
|
763 |
+
"learning_rate": 2e-06,
|
764 |
+
"loss": 0.4537,
|
765 |
+
"step": 1080
|
766 |
+
},
|
767 |
+
{
|
768 |
+
"epoch": 2.112403100775194,
|
769 |
+
"grad_norm": 1.4498154054826256,
|
770 |
+
"learning_rate": 2e-06,
|
771 |
+
"loss": 0.4567,
|
772 |
+
"step": 1090
|
773 |
+
},
|
774 |
+
{
|
775 |
+
"epoch": 2.1317829457364343,
|
776 |
+
"grad_norm": 1.4659238804284036,
|
777 |
+
"learning_rate": 2e-06,
|
778 |
+
"loss": 0.4564,
|
779 |
+
"step": 1100
|
780 |
+
},
|
781 |
+
{
|
782 |
+
"epoch": 2.1511627906976742,
|
783 |
+
"grad_norm": 1.4331071288445956,
|
784 |
+
"learning_rate": 2e-06,
|
785 |
+
"loss": 0.4597,
|
786 |
+
"step": 1110
|
787 |
+
},
|
788 |
+
{
|
789 |
+
"epoch": 2.1705426356589146,
|
790 |
+
"grad_norm": 1.2265580968692957,
|
791 |
+
"learning_rate": 2e-06,
|
792 |
+
"loss": 0.4613,
|
793 |
+
"step": 1120
|
794 |
+
},
|
795 |
+
{
|
796 |
+
"epoch": 2.189922480620155,
|
797 |
+
"grad_norm": 1.430430093258902,
|
798 |
+
"learning_rate": 2e-06,
|
799 |
+
"loss": 0.4582,
|
800 |
+
"step": 1130
|
801 |
+
},
|
802 |
+
{
|
803 |
+
"epoch": 2.2093023255813953,
|
804 |
+
"grad_norm": 1.3191685780949374,
|
805 |
+
"learning_rate": 2e-06,
|
806 |
+
"loss": 0.4567,
|
807 |
+
"step": 1140
|
808 |
+
},
|
809 |
+
{
|
810 |
+
"epoch": 2.2286821705426356,
|
811 |
+
"grad_norm": 1.4143557981830728,
|
812 |
+
"learning_rate": 2e-06,
|
813 |
+
"loss": 0.4593,
|
814 |
+
"step": 1150
|
815 |
+
},
|
816 |
+
{
|
817 |
+
"epoch": 2.248062015503876,
|
818 |
+
"grad_norm": 1.2038927572265354,
|
819 |
+
"learning_rate": 2e-06,
|
820 |
+
"loss": 0.4571,
|
821 |
+
"step": 1160
|
822 |
+
},
|
823 |
+
{
|
824 |
+
"epoch": 2.2674418604651163,
|
825 |
+
"grad_norm": 1.5101700084835745,
|
826 |
+
"learning_rate": 2e-06,
|
827 |
+
"loss": 0.4576,
|
828 |
+
"step": 1170
|
829 |
+
},
|
830 |
+
{
|
831 |
+
"epoch": 2.2868217054263567,
|
832 |
+
"grad_norm": 1.3238249446175274,
|
833 |
+
"learning_rate": 2e-06,
|
834 |
+
"loss": 0.4648,
|
835 |
+
"step": 1180
|
836 |
+
},
|
837 |
+
{
|
838 |
+
"epoch": 2.306201550387597,
|
839 |
+
"grad_norm": 1.4453440150118313,
|
840 |
+
"learning_rate": 2e-06,
|
841 |
+
"loss": 0.46,
|
842 |
+
"step": 1190
|
843 |
+
},
|
844 |
+
{
|
845 |
+
"epoch": 2.3255813953488373,
|
846 |
+
"grad_norm": 1.291302766406732,
|
847 |
+
"learning_rate": 2e-06,
|
848 |
+
"loss": 0.4564,
|
849 |
+
"step": 1200
|
850 |
+
},
|
851 |
+
{
|
852 |
+
"epoch": 2.3449612403100777,
|
853 |
+
"grad_norm": 1.3371668345858843,
|
854 |
+
"learning_rate": 2e-06,
|
855 |
+
"loss": 0.4605,
|
856 |
+
"step": 1210
|
857 |
+
},
|
858 |
+
{
|
859 |
+
"epoch": 2.3643410852713176,
|
860 |
+
"grad_norm": 1.4583613955952517,
|
861 |
+
"learning_rate": 2e-06,
|
862 |
+
"loss": 0.4639,
|
863 |
+
"step": 1220
|
864 |
+
},
|
865 |
+
{
|
866 |
+
"epoch": 2.383720930232558,
|
867 |
+
"grad_norm": 1.3603243092911215,
|
868 |
+
"learning_rate": 2e-06,
|
869 |
+
"loss": 0.4591,
|
870 |
+
"step": 1230
|
871 |
+
},
|
872 |
+
{
|
873 |
+
"epoch": 2.4031007751937983,
|
874 |
+
"grad_norm": 1.4381588797038276,
|
875 |
+
"learning_rate": 2e-06,
|
876 |
+
"loss": 0.4654,
|
877 |
+
"step": 1240
|
878 |
+
},
|
879 |
+
{
|
880 |
+
"epoch": 2.4224806201550386,
|
881 |
+
"grad_norm": 1.2897514442264095,
|
882 |
+
"learning_rate": 2e-06,
|
883 |
+
"loss": 0.46,
|
884 |
+
"step": 1250
|
885 |
+
},
|
886 |
+
{
|
887 |
+
"epoch": 2.441860465116279,
|
888 |
+
"grad_norm": 1.4149740934308317,
|
889 |
+
"learning_rate": 2e-06,
|
890 |
+
"loss": 0.462,
|
891 |
+
"step": 1260
|
892 |
+
},
|
893 |
+
{
|
894 |
+
"epoch": 2.4612403100775193,
|
895 |
+
"grad_norm": 1.2334708007117,
|
896 |
+
"learning_rate": 2e-06,
|
897 |
+
"loss": 0.4636,
|
898 |
+
"step": 1270
|
899 |
+
},
|
900 |
+
{
|
901 |
+
"epoch": 2.4806201550387597,
|
902 |
+
"grad_norm": 1.3277525646372448,
|
903 |
+
"learning_rate": 2e-06,
|
904 |
+
"loss": 0.4637,
|
905 |
+
"step": 1280
|
906 |
+
},
|
907 |
+
{
|
908 |
+
"epoch": 2.5,
|
909 |
+
"grad_norm": 1.341129908785728,
|
910 |
+
"learning_rate": 2e-06,
|
911 |
+
"loss": 0.4572,
|
912 |
+
"step": 1290
|
913 |
+
},
|
914 |
+
{
|
915 |
+
"epoch": 2.5193798449612403,
|
916 |
+
"grad_norm": 1.2028868010871578,
|
917 |
+
"learning_rate": 2e-06,
|
918 |
+
"loss": 0.4643,
|
919 |
+
"step": 1300
|
920 |
+
},
|
921 |
+
{
|
922 |
+
"epoch": 2.5387596899224807,
|
923 |
+
"grad_norm": 1.2788628805207698,
|
924 |
+
"learning_rate": 2e-06,
|
925 |
+
"loss": 0.458,
|
926 |
+
"step": 1310
|
927 |
+
},
|
928 |
+
{
|
929 |
+
"epoch": 2.558139534883721,
|
930 |
+
"grad_norm": 1.1964555955603347,
|
931 |
+
"learning_rate": 2e-06,
|
932 |
+
"loss": 0.4702,
|
933 |
+
"step": 1320
|
934 |
+
},
|
935 |
+
{
|
936 |
+
"epoch": 2.5775193798449614,
|
937 |
+
"grad_norm": 1.2630513178641603,
|
938 |
+
"learning_rate": 2e-06,
|
939 |
+
"loss": 0.4622,
|
940 |
+
"step": 1330
|
941 |
+
},
|
942 |
+
{
|
943 |
+
"epoch": 2.5968992248062017,
|
944 |
+
"grad_norm": 1.4987867600057845,
|
945 |
+
"learning_rate": 2e-06,
|
946 |
+
"loss": 0.4708,
|
947 |
+
"step": 1340
|
948 |
+
},
|
949 |
+
{
|
950 |
+
"epoch": 2.616279069767442,
|
951 |
+
"grad_norm": 1.328908367081974,
|
952 |
+
"learning_rate": 2e-06,
|
953 |
+
"loss": 0.4622,
|
954 |
+
"step": 1350
|
955 |
+
},
|
956 |
+
{
|
957 |
+
"epoch": 2.6356589147286824,
|
958 |
+
"grad_norm": 1.572958887182858,
|
959 |
+
"learning_rate": 2e-06,
|
960 |
+
"loss": 0.459,
|
961 |
+
"step": 1360
|
962 |
+
},
|
963 |
+
{
|
964 |
+
"epoch": 2.6550387596899228,
|
965 |
+
"grad_norm": 1.2305373948782317,
|
966 |
+
"learning_rate": 2e-06,
|
967 |
+
"loss": 0.4597,
|
968 |
+
"step": 1370
|
969 |
+
},
|
970 |
+
{
|
971 |
+
"epoch": 2.6744186046511627,
|
972 |
+
"grad_norm": 1.231294042248163,
|
973 |
+
"learning_rate": 2e-06,
|
974 |
+
"loss": 0.468,
|
975 |
+
"step": 1380
|
976 |
+
},
|
977 |
+
{
|
978 |
+
"epoch": 2.693798449612403,
|
979 |
+
"grad_norm": 1.2696874963913714,
|
980 |
+
"learning_rate": 2e-06,
|
981 |
+
"loss": 0.4598,
|
982 |
+
"step": 1390
|
983 |
+
},
|
984 |
+
{
|
985 |
+
"epoch": 2.7131782945736433,
|
986 |
+
"grad_norm": 1.2272319783021322,
|
987 |
+
"learning_rate": 2e-06,
|
988 |
+
"loss": 0.4678,
|
989 |
+
"step": 1400
|
990 |
+
},
|
991 |
+
{
|
992 |
+
"epoch": 2.7325581395348837,
|
993 |
+
"grad_norm": 1.3352293934792803,
|
994 |
+
"learning_rate": 2e-06,
|
995 |
+
"loss": 0.4594,
|
996 |
+
"step": 1410
|
997 |
+
},
|
998 |
+
{
|
999 |
+
"epoch": 2.751937984496124,
|
1000 |
+
"grad_norm": 1.306891032131746,
|
1001 |
+
"learning_rate": 2e-06,
|
1002 |
+
"loss": 0.4613,
|
1003 |
+
"step": 1420
|
1004 |
+
},
|
1005 |
+
{
|
1006 |
+
"epoch": 2.7713178294573644,
|
1007 |
+
"grad_norm": 1.2665315216624808,
|
1008 |
+
"learning_rate": 2e-06,
|
1009 |
+
"loss": 0.4667,
|
1010 |
+
"step": 1430
|
1011 |
+
},
|
1012 |
+
{
|
1013 |
+
"epoch": 2.7906976744186047,
|
1014 |
+
"grad_norm": 1.3240308251203166,
|
1015 |
+
"learning_rate": 2e-06,
|
1016 |
+
"loss": 0.4656,
|
1017 |
+
"step": 1440
|
1018 |
+
},
|
1019 |
+
{
|
1020 |
+
"epoch": 2.810077519379845,
|
1021 |
+
"grad_norm": 1.4793024854316217,
|
1022 |
+
"learning_rate": 2e-06,
|
1023 |
+
"loss": 0.463,
|
1024 |
+
"step": 1450
|
1025 |
+
},
|
1026 |
+
{
|
1027 |
+
"epoch": 2.8294573643410854,
|
1028 |
+
"grad_norm": 1.4217782757634918,
|
1029 |
+
"learning_rate": 2e-06,
|
1030 |
+
"loss": 0.4703,
|
1031 |
+
"step": 1460
|
1032 |
+
},
|
1033 |
+
{
|
1034 |
+
"epoch": 2.8488372093023253,
|
1035 |
+
"grad_norm": 1.2290713413876615,
|
1036 |
+
"learning_rate": 2e-06,
|
1037 |
+
"loss": 0.4661,
|
1038 |
+
"step": 1470
|
1039 |
+
},
|
1040 |
+
{
|
1041 |
+
"epoch": 2.8682170542635657,
|
1042 |
+
"grad_norm": 1.4408298205910421,
|
1043 |
+
"learning_rate": 2e-06,
|
1044 |
+
"loss": 0.4667,
|
1045 |
+
"step": 1480
|
1046 |
+
},
|
1047 |
+
{
|
1048 |
+
"epoch": 2.887596899224806,
|
1049 |
+
"grad_norm": 1.4463509582697884,
|
1050 |
+
"learning_rate": 2e-06,
|
1051 |
+
"loss": 0.4692,
|
1052 |
+
"step": 1490
|
1053 |
+
},
|
1054 |
+
{
|
1055 |
+
"epoch": 2.9069767441860463,
|
1056 |
+
"grad_norm": 1.3757313989698736,
|
1057 |
+
"learning_rate": 2e-06,
|
1058 |
+
"loss": 0.4585,
|
1059 |
+
"step": 1500
|
1060 |
+
},
|
1061 |
+
{
|
1062 |
+
"epoch": 2.9263565891472867,
|
1063 |
+
"grad_norm": 1.3950705796217753,
|
1064 |
+
"learning_rate": 2e-06,
|
1065 |
+
"loss": 0.4627,
|
1066 |
+
"step": 1510
|
1067 |
+
},
|
1068 |
+
{
|
1069 |
+
"epoch": 2.945736434108527,
|
1070 |
+
"grad_norm": 1.269632815277089,
|
1071 |
+
"learning_rate": 2e-06,
|
1072 |
+
"loss": 0.4679,
|
1073 |
+
"step": 1520
|
1074 |
+
},
|
1075 |
+
{
|
1076 |
+
"epoch": 2.9651162790697674,
|
1077 |
+
"grad_norm": 1.3792098795510677,
|
1078 |
+
"learning_rate": 2e-06,
|
1079 |
+
"loss": 0.463,
|
1080 |
+
"step": 1530
|
1081 |
+
},
|
1082 |
+
{
|
1083 |
+
"epoch": 2.9844961240310077,
|
1084 |
+
"grad_norm": 1.2723166198917764,
|
1085 |
+
"learning_rate": 2e-06,
|
1086 |
+
"loss": 0.468,
|
1087 |
+
"step": 1540
|
1088 |
+
},
|
1089 |
+
{
|
1090 |
+
"epoch": 3.0,
|
1091 |
+
"step": 1548,
|
1092 |
+
"total_flos": 2591282618695680.0,
|
1093 |
+
"train_loss": 0.1541580106552873,
|
1094 |
+
"train_runtime": 7454.5076,
|
1095 |
+
"train_samples_per_second": 106.232,
|
1096 |
+
"train_steps_per_second": 0.208
|
1097 |
+
}
|
1098 |
+
],
|
1099 |
+
"logging_steps": 10,
|
1100 |
+
"max_steps": 1548,
|
1101 |
+
"num_input_tokens_seen": 0,
|
1102 |
+
"num_train_epochs": 3,
|
1103 |
+
"save_steps": 500,
|
1104 |
+
"stateful_callbacks": {
|
1105 |
+
"TrainerControl": {
|
1106 |
+
"args": {
|
1107 |
+
"should_epoch_stop": false,
|
1108 |
+
"should_evaluate": false,
|
1109 |
+
"should_log": false,
|
1110 |
+
"should_save": true,
|
1111 |
+
"should_training_stop": true
|
1112 |
+
},
|
1113 |
+
"attributes": {}
|
1114 |
+
}
|
1115 |
+
},
|
1116 |
+
"total_flos": 2591282618695680.0,
|
1117 |
+
"train_batch_size": 8,
|
1118 |
+
"trial_name": null,
|
1119 |
+
"trial_params": null
|
1120 |
+
}
|
training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:754d186d3c4123eed47f7cd05bda52bb4cf9e1021406a6181f16329dd48a6458
|
3 |
+
size 7672
|