Training in progress, epoch 42, checkpoint
Browse files- checkpoint-7875/README.md +9 -0
- checkpoint-7875/adapter_config.json +25 -0
- checkpoint-7875/adapter_model.safetensors +3 -0
- checkpoint-7875/added_tokens.json +5 -0
- checkpoint-7875/merges.txt +0 -0
- checkpoint-7875/optimizer.pt +3 -0
- checkpoint-7875/rng_state_0.pth +3 -0
- checkpoint-7875/rng_state_1.pth +3 -0
- checkpoint-7875/rng_state_2.pth +3 -0
- checkpoint-7875/rng_state_3.pth +3 -0
- checkpoint-7875/scheduler.pt +3 -0
- checkpoint-7875/special_tokens_map.json +14 -0
- checkpoint-7875/tokenizer.json +0 -0
- checkpoint-7875/tokenizer_config.json +43 -0
- checkpoint-7875/trainer_state.json +1209 -0
- checkpoint-7875/training_args.bin +3 -0
- checkpoint-7875/vocab.json +0 -0
checkpoint-7875/README.md
ADDED
|
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
library_name: peft
|
| 3 |
+
---
|
| 4 |
+
## Training procedure
|
| 5 |
+
|
| 6 |
+
### Framework versions
|
| 7 |
+
|
| 8 |
+
|
| 9 |
+
- PEFT 0.5.0
|
checkpoint-7875/adapter_config.json
ADDED
|
@@ -0,0 +1,25 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"auto_mapping": null,
|
| 3 |
+
"base_model_name_or_path": "Qwen/Qwen1.5-4B",
|
| 4 |
+
"bias": "none",
|
| 5 |
+
"fan_in_fan_out": false,
|
| 6 |
+
"inference_mode": true,
|
| 7 |
+
"init_lora_weights": true,
|
| 8 |
+
"layers_pattern": null,
|
| 9 |
+
"layers_to_transform": null,
|
| 10 |
+
"lora_alpha": 16,
|
| 11 |
+
"lora_dropout": 0.05,
|
| 12 |
+
"modules_to_save": null,
|
| 13 |
+
"peft_type": "LORA",
|
| 14 |
+
"r": 16,
|
| 15 |
+
"revision": null,
|
| 16 |
+
"target_modules": [
|
| 17 |
+
"q_proj",
|
| 18 |
+
"k_proj",
|
| 19 |
+
"v_proj",
|
| 20 |
+
"down_proj",
|
| 21 |
+
"gate_proj",
|
| 22 |
+
"up_proj"
|
| 23 |
+
],
|
| 24 |
+
"task_type": "CAUSAL_LM"
|
| 25 |
+
}
|
checkpoint-7875/adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:786f8a3ce4402b7419daeaec054989527adf81e23c16580c133d5690be912b86
|
| 3 |
+
size 112130416
|
checkpoint-7875/added_tokens.json
ADDED
|
@@ -0,0 +1,5 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"<|endoftext|>": 151643,
|
| 3 |
+
"<|im_end|>": 151645,
|
| 4 |
+
"<|im_start|>": 151644
|
| 5 |
+
}
|
checkpoint-7875/merges.txt
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
checkpoint-7875/optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:c642bd56c2b34ad26a7fa154b9c83caafe785516ef9ad6ca7d375b5cc062d756
|
| 3 |
+
size 224537202
|
checkpoint-7875/rng_state_0.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:df9d311d3e657edc6ad845e198fe075aca7f938ea1ac1b487769e1a62afd773d
|
| 3 |
+
size 15024
|
checkpoint-7875/rng_state_1.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:810b9e6d24a6f8e7a6ea233dd2b6988345332efede368a250db2857184111a0a
|
| 3 |
+
size 15024
|
checkpoint-7875/rng_state_2.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:b4fd33915bc78ab61a46bd19f0950acc7420a83bb15eb858bb2b90fe7ba14530
|
| 3 |
+
size 15024
|
checkpoint-7875/rng_state_3.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:96c2b5f7e3d5726ba5fc18877f820cfc4f761a4347dce816d84e5893f12760d4
|
| 3 |
+
size 15024
|
checkpoint-7875/scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:fb909d7e818100ae8fb3061e2dd9ff6eff548f7d863ffecaff5ca2b61ede692d
|
| 3 |
+
size 1064
|
checkpoint-7875/special_tokens_map.json
ADDED
|
@@ -0,0 +1,14 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"additional_special_tokens": [
|
| 3 |
+
"<|im_start|>",
|
| 4 |
+
"<|im_end|>"
|
| 5 |
+
],
|
| 6 |
+
"eos_token": {
|
| 7 |
+
"content": "<|endoftext|>",
|
| 8 |
+
"lstrip": false,
|
| 9 |
+
"normalized": false,
|
| 10 |
+
"rstrip": false,
|
| 11 |
+
"single_word": false
|
| 12 |
+
},
|
| 13 |
+
"pad_token": "<|endoftext|>"
|
| 14 |
+
}
|
checkpoint-7875/tokenizer.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
checkpoint-7875/tokenizer_config.json
ADDED
|
@@ -0,0 +1,43 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"add_prefix_space": false,
|
| 3 |
+
"added_tokens_decoder": {
|
| 4 |
+
"151643": {
|
| 5 |
+
"content": "<|endoftext|>",
|
| 6 |
+
"lstrip": false,
|
| 7 |
+
"normalized": false,
|
| 8 |
+
"rstrip": false,
|
| 9 |
+
"single_word": false,
|
| 10 |
+
"special": true
|
| 11 |
+
},
|
| 12 |
+
"151644": {
|
| 13 |
+
"content": "<|im_start|>",
|
| 14 |
+
"lstrip": false,
|
| 15 |
+
"normalized": false,
|
| 16 |
+
"rstrip": false,
|
| 17 |
+
"single_word": false,
|
| 18 |
+
"special": true
|
| 19 |
+
},
|
| 20 |
+
"151645": {
|
| 21 |
+
"content": "<|im_end|>",
|
| 22 |
+
"lstrip": false,
|
| 23 |
+
"normalized": false,
|
| 24 |
+
"rstrip": false,
|
| 25 |
+
"single_word": false,
|
| 26 |
+
"special": true
|
| 27 |
+
}
|
| 28 |
+
},
|
| 29 |
+
"additional_special_tokens": [
|
| 30 |
+
"<|im_start|>",
|
| 31 |
+
"<|im_end|>"
|
| 32 |
+
],
|
| 33 |
+
"bos_token": null,
|
| 34 |
+
"chat_template": "{% for message in messages %}{% if loop.first and messages[0]['role'] != 'system' %}{{ '<|im_start|>system\nYou are a helpful assistant<|im_end|>\n' }}{% endif %}{{'<|im_start|>' + message['role'] + '\n' + message['content'] + '<|im_end|>' + '\n'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant\n' }}{% endif %}",
|
| 35 |
+
"clean_up_tokenization_spaces": false,
|
| 36 |
+
"eos_token": "<|endoftext|>",
|
| 37 |
+
"errors": "replace",
|
| 38 |
+
"model_max_length": 32768,
|
| 39 |
+
"pad_token": "<|endoftext|>",
|
| 40 |
+
"split_special_tokens": false,
|
| 41 |
+
"tokenizer_class": "Qwen2Tokenizer",
|
| 42 |
+
"unk_token": null
|
| 43 |
+
}
|
checkpoint-7875/trainer_state.json
ADDED
|
@@ -0,0 +1,1209 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": null,
|
| 3 |
+
"best_model_checkpoint": null,
|
| 4 |
+
"epoch": 42.0,
|
| 5 |
+
"eval_steps": 500,
|
| 6 |
+
"global_step": 7875,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 0.5333333333333333,
|
| 13 |
+
"grad_norm": 0.64143306016922,
|
| 14 |
+
"learning_rate": 0.0001,
|
| 15 |
+
"loss": 1.7779,
|
| 16 |
+
"step": 100
|
| 17 |
+
},
|
| 18 |
+
{
|
| 19 |
+
"epoch": 0.9973333333333333,
|
| 20 |
+
"eval_accuracy": 0.5734871794871795,
|
| 21 |
+
"eval_loss": 1.6191272735595703,
|
| 22 |
+
"eval_runtime": 5.393,
|
| 23 |
+
"eval_samples_per_second": 92.713,
|
| 24 |
+
"eval_steps_per_second": 11.682,
|
| 25 |
+
"step": 187
|
| 26 |
+
},
|
| 27 |
+
{
|
| 28 |
+
"epoch": 0.9973333333333333,
|
| 29 |
+
"eval_exact_match": 18.0,
|
| 30 |
+
"eval_f1": 28.280476190476193,
|
| 31 |
+
"step": 187
|
| 32 |
+
},
|
| 33 |
+
{
|
| 34 |
+
"epoch": 1.0666666666666667,
|
| 35 |
+
"grad_norm": 0.7118939161300659,
|
| 36 |
+
"learning_rate": 0.0001,
|
| 37 |
+
"loss": 1.6349,
|
| 38 |
+
"step": 200
|
| 39 |
+
},
|
| 40 |
+
{
|
| 41 |
+
"epoch": 1.6,
|
| 42 |
+
"grad_norm": 1.0694799423217773,
|
| 43 |
+
"learning_rate": 0.0001,
|
| 44 |
+
"loss": 1.4887,
|
| 45 |
+
"step": 300
|
| 46 |
+
},
|
| 47 |
+
{
|
| 48 |
+
"epoch": 2.0,
|
| 49 |
+
"eval_accuracy": 0.5735897435897436,
|
| 50 |
+
"eval_loss": 1.6172032356262207,
|
| 51 |
+
"eval_runtime": 5.0425,
|
| 52 |
+
"eval_samples_per_second": 99.158,
|
| 53 |
+
"eval_steps_per_second": 12.494,
|
| 54 |
+
"step": 375
|
| 55 |
+
},
|
| 56 |
+
{
|
| 57 |
+
"epoch": 2.0,
|
| 58 |
+
"eval_exact_match": 19.8,
|
| 59 |
+
"eval_f1": 28.77095238095238,
|
| 60 |
+
"step": 375
|
| 61 |
+
},
|
| 62 |
+
{
|
| 63 |
+
"epoch": 2.1333333333333333,
|
| 64 |
+
"grad_norm": 1.28153395652771,
|
| 65 |
+
"learning_rate": 0.0001,
|
| 66 |
+
"loss": 1.4304,
|
| 67 |
+
"step": 400
|
| 68 |
+
},
|
| 69 |
+
{
|
| 70 |
+
"epoch": 2.6666666666666665,
|
| 71 |
+
"grad_norm": 1.3190444707870483,
|
| 72 |
+
"learning_rate": 0.0001,
|
| 73 |
+
"loss": 1.2346,
|
| 74 |
+
"step": 500
|
| 75 |
+
},
|
| 76 |
+
{
|
| 77 |
+
"epoch": 2.997333333333333,
|
| 78 |
+
"eval_accuracy": 0.5706153846153846,
|
| 79 |
+
"eval_loss": 1.6950472593307495,
|
| 80 |
+
"eval_runtime": 5.1981,
|
| 81 |
+
"eval_samples_per_second": 96.188,
|
| 82 |
+
"eval_steps_per_second": 12.12,
|
| 83 |
+
"step": 562
|
| 84 |
+
},
|
| 85 |
+
{
|
| 86 |
+
"epoch": 2.997333333333333,
|
| 87 |
+
"eval_exact_match": 19.4,
|
| 88 |
+
"eval_f1": 28.241904761904756,
|
| 89 |
+
"step": 562
|
| 90 |
+
},
|
| 91 |
+
{
|
| 92 |
+
"epoch": 3.2,
|
| 93 |
+
"grad_norm": 1.5040416717529297,
|
| 94 |
+
"learning_rate": 0.0001,
|
| 95 |
+
"loss": 1.1583,
|
| 96 |
+
"step": 600
|
| 97 |
+
},
|
| 98 |
+
{
|
| 99 |
+
"epoch": 3.7333333333333334,
|
| 100 |
+
"grad_norm": 1.512290358543396,
|
| 101 |
+
"learning_rate": 0.0001,
|
| 102 |
+
"loss": 1.0104,
|
| 103 |
+
"step": 700
|
| 104 |
+
},
|
| 105 |
+
{
|
| 106 |
+
"epoch": 4.0,
|
| 107 |
+
"eval_accuracy": 0.5655897435897436,
|
| 108 |
+
"eval_loss": 1.7944799661636353,
|
| 109 |
+
"eval_runtime": 5.3441,
|
| 110 |
+
"eval_samples_per_second": 93.561,
|
| 111 |
+
"eval_steps_per_second": 11.789,
|
| 112 |
+
"step": 750
|
| 113 |
+
},
|
| 114 |
+
{
|
| 115 |
+
"epoch": 4.0,
|
| 116 |
+
"eval_exact_match": 15.8,
|
| 117 |
+
"eval_f1": 23.639523809523823,
|
| 118 |
+
"step": 750
|
| 119 |
+
},
|
| 120 |
+
{
|
| 121 |
+
"epoch": 4.266666666666667,
|
| 122 |
+
"grad_norm": 1.698282241821289,
|
| 123 |
+
"learning_rate": 0.0001,
|
| 124 |
+
"loss": 0.9275,
|
| 125 |
+
"step": 800
|
| 126 |
+
},
|
| 127 |
+
{
|
| 128 |
+
"epoch": 4.8,
|
| 129 |
+
"grad_norm": 1.6007401943206787,
|
| 130 |
+
"learning_rate": 0.0001,
|
| 131 |
+
"loss": 0.843,
|
| 132 |
+
"step": 900
|
| 133 |
+
},
|
| 134 |
+
{
|
| 135 |
+
"epoch": 4.997333333333334,
|
| 136 |
+
"eval_accuracy": 0.5632820512820513,
|
| 137 |
+
"eval_loss": 1.9219905138015747,
|
| 138 |
+
"eval_runtime": 5.2659,
|
| 139 |
+
"eval_samples_per_second": 94.951,
|
| 140 |
+
"eval_steps_per_second": 11.964,
|
| 141 |
+
"step": 937
|
| 142 |
+
},
|
| 143 |
+
{
|
| 144 |
+
"epoch": 4.997333333333334,
|
| 145 |
+
"eval_exact_match": 15.8,
|
| 146 |
+
"eval_f1": 24.631904761904778,
|
| 147 |
+
"step": 937
|
| 148 |
+
},
|
| 149 |
+
{
|
| 150 |
+
"epoch": 5.333333333333333,
|
| 151 |
+
"grad_norm": 1.5375592708587646,
|
| 152 |
+
"learning_rate": 0.0001,
|
| 153 |
+
"loss": 0.7516,
|
| 154 |
+
"step": 1000
|
| 155 |
+
},
|
| 156 |
+
{
|
| 157 |
+
"epoch": 5.866666666666667,
|
| 158 |
+
"grad_norm": 1.718989372253418,
|
| 159 |
+
"learning_rate": 0.0001,
|
| 160 |
+
"loss": 0.7199,
|
| 161 |
+
"step": 1100
|
| 162 |
+
},
|
| 163 |
+
{
|
| 164 |
+
"epoch": 6.0,
|
| 165 |
+
"eval_accuracy": 0.5616923076923077,
|
| 166 |
+
"eval_loss": 2.016322612762451,
|
| 167 |
+
"eval_runtime": 5.116,
|
| 168 |
+
"eval_samples_per_second": 97.734,
|
| 169 |
+
"eval_steps_per_second": 12.314,
|
| 170 |
+
"step": 1125
|
| 171 |
+
},
|
| 172 |
+
{
|
| 173 |
+
"epoch": 6.0,
|
| 174 |
+
"eval_exact_match": 14.4,
|
| 175 |
+
"eval_f1": 22.39285714285715,
|
| 176 |
+
"step": 1125
|
| 177 |
+
},
|
| 178 |
+
{
|
| 179 |
+
"epoch": 6.4,
|
| 180 |
+
"grad_norm": 1.8337936401367188,
|
| 181 |
+
"learning_rate": 0.0001,
|
| 182 |
+
"loss": 0.6378,
|
| 183 |
+
"step": 1200
|
| 184 |
+
},
|
| 185 |
+
{
|
| 186 |
+
"epoch": 6.933333333333334,
|
| 187 |
+
"grad_norm": 1.9019217491149902,
|
| 188 |
+
"learning_rate": 0.0001,
|
| 189 |
+
"loss": 0.6432,
|
| 190 |
+
"step": 1300
|
| 191 |
+
},
|
| 192 |
+
{
|
| 193 |
+
"epoch": 6.997333333333334,
|
| 194 |
+
"eval_accuracy": 0.5616410256410257,
|
| 195 |
+
"eval_loss": 2.1283841133117676,
|
| 196 |
+
"eval_runtime": 5.1352,
|
| 197 |
+
"eval_samples_per_second": 97.367,
|
| 198 |
+
"eval_steps_per_second": 12.268,
|
| 199 |
+
"step": 1312
|
| 200 |
+
},
|
| 201 |
+
{
|
| 202 |
+
"epoch": 6.997333333333334,
|
| 203 |
+
"eval_exact_match": 13.8,
|
| 204 |
+
"eval_f1": 22.042857142857148,
|
| 205 |
+
"step": 1312
|
| 206 |
+
},
|
| 207 |
+
{
|
| 208 |
+
"epoch": 7.466666666666667,
|
| 209 |
+
"grad_norm": 1.246907114982605,
|
| 210 |
+
"learning_rate": 0.0001,
|
| 211 |
+
"loss": 0.578,
|
| 212 |
+
"step": 1400
|
| 213 |
+
},
|
| 214 |
+
{
|
| 215 |
+
"epoch": 8.0,
|
| 216 |
+
"grad_norm": 1.6256760358810425,
|
| 217 |
+
"learning_rate": 0.0001,
|
| 218 |
+
"loss": 0.596,
|
| 219 |
+
"step": 1500
|
| 220 |
+
},
|
| 221 |
+
{
|
| 222 |
+
"epoch": 8.0,
|
| 223 |
+
"eval_accuracy": 0.5603589743589743,
|
| 224 |
+
"eval_loss": 2.170966386795044,
|
| 225 |
+
"eval_runtime": 5.0636,
|
| 226 |
+
"eval_samples_per_second": 98.744,
|
| 227 |
+
"eval_steps_per_second": 12.442,
|
| 228 |
+
"step": 1500
|
| 229 |
+
},
|
| 230 |
+
{
|
| 231 |
+
"epoch": 8.0,
|
| 232 |
+
"eval_exact_match": 14.4,
|
| 233 |
+
"eval_f1": 21.71636363636364,
|
| 234 |
+
"step": 1500
|
| 235 |
+
},
|
| 236 |
+
{
|
| 237 |
+
"epoch": 8.533333333333333,
|
| 238 |
+
"grad_norm": 1.3106721639633179,
|
| 239 |
+
"learning_rate": 0.0001,
|
| 240 |
+
"loss": 0.543,
|
| 241 |
+
"step": 1600
|
| 242 |
+
},
|
| 243 |
+
{
|
| 244 |
+
"epoch": 8.997333333333334,
|
| 245 |
+
"eval_accuracy": 0.5595384615384615,
|
| 246 |
+
"eval_loss": 2.262348175048828,
|
| 247 |
+
"eval_runtime": 5.3198,
|
| 248 |
+
"eval_samples_per_second": 93.989,
|
| 249 |
+
"eval_steps_per_second": 11.843,
|
| 250 |
+
"step": 1687
|
| 251 |
+
},
|
| 252 |
+
{
|
| 253 |
+
"epoch": 8.997333333333334,
|
| 254 |
+
"eval_exact_match": 16.0,
|
| 255 |
+
"eval_f1": 24.34507936507938,
|
| 256 |
+
"step": 1687
|
| 257 |
+
},
|
| 258 |
+
{
|
| 259 |
+
"epoch": 9.066666666666666,
|
| 260 |
+
"grad_norm": 1.0499460697174072,
|
| 261 |
+
"learning_rate": 0.0001,
|
| 262 |
+
"loss": 0.5644,
|
| 263 |
+
"step": 1700
|
| 264 |
+
},
|
| 265 |
+
{
|
| 266 |
+
"epoch": 9.6,
|
| 267 |
+
"grad_norm": 0.9217801690101624,
|
| 268 |
+
"learning_rate": 0.0001,
|
| 269 |
+
"loss": 0.5314,
|
| 270 |
+
"step": 1800
|
| 271 |
+
},
|
| 272 |
+
{
|
| 273 |
+
"epoch": 10.0,
|
| 274 |
+
"eval_accuracy": 0.5583589743589744,
|
| 275 |
+
"eval_loss": 2.268125057220459,
|
| 276 |
+
"eval_runtime": 5.457,
|
| 277 |
+
"eval_samples_per_second": 91.626,
|
| 278 |
+
"eval_steps_per_second": 11.545,
|
| 279 |
+
"step": 1875
|
| 280 |
+
},
|
| 281 |
+
{
|
| 282 |
+
"epoch": 10.0,
|
| 283 |
+
"eval_exact_match": 15.4,
|
| 284 |
+
"eval_f1": 23.46095238095238,
|
| 285 |
+
"step": 1875
|
| 286 |
+
},
|
| 287 |
+
{
|
| 288 |
+
"epoch": 10.133333333333333,
|
| 289 |
+
"grad_norm": 0.969529926776886,
|
| 290 |
+
"learning_rate": 0.0001,
|
| 291 |
+
"loss": 0.534,
|
| 292 |
+
"step": 1900
|
| 293 |
+
},
|
| 294 |
+
{
|
| 295 |
+
"epoch": 10.666666666666666,
|
| 296 |
+
"grad_norm": 0.9540187120437622,
|
| 297 |
+
"learning_rate": 0.0001,
|
| 298 |
+
"loss": 0.5171,
|
| 299 |
+
"step": 2000
|
| 300 |
+
},
|
| 301 |
+
{
|
| 302 |
+
"epoch": 10.997333333333334,
|
| 303 |
+
"eval_accuracy": 0.5584615384615385,
|
| 304 |
+
"eval_loss": 2.3312978744506836,
|
| 305 |
+
"eval_runtime": 5.2187,
|
| 306 |
+
"eval_samples_per_second": 95.81,
|
| 307 |
+
"eval_steps_per_second": 12.072,
|
| 308 |
+
"step": 2062
|
| 309 |
+
},
|
| 310 |
+
{
|
| 311 |
+
"epoch": 10.997333333333334,
|
| 312 |
+
"eval_exact_match": 16.2,
|
| 313 |
+
"eval_f1": 23.968888888888895,
|
| 314 |
+
"step": 2062
|
| 315 |
+
},
|
| 316 |
+
{
|
| 317 |
+
"epoch": 11.2,
|
| 318 |
+
"grad_norm": 0.8946124911308289,
|
| 319 |
+
"learning_rate": 0.0001,
|
| 320 |
+
"loss": 0.5208,
|
| 321 |
+
"step": 2100
|
| 322 |
+
},
|
| 323 |
+
{
|
| 324 |
+
"epoch": 11.733333333333333,
|
| 325 |
+
"grad_norm": 0.8362706899642944,
|
| 326 |
+
"learning_rate": 0.0001,
|
| 327 |
+
"loss": 0.512,
|
| 328 |
+
"step": 2200
|
| 329 |
+
},
|
| 330 |
+
{
|
| 331 |
+
"epoch": 12.0,
|
| 332 |
+
"eval_accuracy": 0.559025641025641,
|
| 333 |
+
"eval_loss": 2.364483594894409,
|
| 334 |
+
"eval_runtime": 5.0957,
|
| 335 |
+
"eval_samples_per_second": 98.122,
|
| 336 |
+
"eval_steps_per_second": 12.363,
|
| 337 |
+
"step": 2250
|
| 338 |
+
},
|
| 339 |
+
{
|
| 340 |
+
"epoch": 12.0,
|
| 341 |
+
"eval_exact_match": 16.0,
|
| 342 |
+
"eval_f1": 24.015714285714285,
|
| 343 |
+
"step": 2250
|
| 344 |
+
},
|
| 345 |
+
{
|
| 346 |
+
"epoch": 12.266666666666667,
|
| 347 |
+
"grad_norm": 0.7387551665306091,
|
| 348 |
+
"learning_rate": 0.0001,
|
| 349 |
+
"loss": 0.5038,
|
| 350 |
+
"step": 2300
|
| 351 |
+
},
|
| 352 |
+
{
|
| 353 |
+
"epoch": 12.8,
|
| 354 |
+
"grad_norm": 0.8488346338272095,
|
| 355 |
+
"learning_rate": 0.0001,
|
| 356 |
+
"loss": 0.503,
|
| 357 |
+
"step": 2400
|
| 358 |
+
},
|
| 359 |
+
{
|
| 360 |
+
"epoch": 12.997333333333334,
|
| 361 |
+
"eval_accuracy": 0.5588205128205128,
|
| 362 |
+
"eval_loss": 2.3642191886901855,
|
| 363 |
+
"eval_runtime": 5.4807,
|
| 364 |
+
"eval_samples_per_second": 91.23,
|
| 365 |
+
"eval_steps_per_second": 11.495,
|
| 366 |
+
"step": 2437
|
| 367 |
+
},
|
| 368 |
+
{
|
| 369 |
+
"epoch": 12.997333333333334,
|
| 370 |
+
"eval_exact_match": 16.0,
|
| 371 |
+
"eval_f1": 23.92238095238096,
|
| 372 |
+
"step": 2437
|
| 373 |
+
},
|
| 374 |
+
{
|
| 375 |
+
"epoch": 13.333333333333334,
|
| 376 |
+
"grad_norm": 0.9431668519973755,
|
| 377 |
+
"learning_rate": 0.0001,
|
| 378 |
+
"loss": 0.4941,
|
| 379 |
+
"step": 2500
|
| 380 |
+
},
|
| 381 |
+
{
|
| 382 |
+
"epoch": 13.866666666666667,
|
| 383 |
+
"grad_norm": 0.8775368928909302,
|
| 384 |
+
"learning_rate": 0.0001,
|
| 385 |
+
"loss": 0.4996,
|
| 386 |
+
"step": 2600
|
| 387 |
+
},
|
| 388 |
+
{
|
| 389 |
+
"epoch": 14.0,
|
| 390 |
+
"eval_accuracy": 0.5582051282051282,
|
| 391 |
+
"eval_loss": 2.436706304550171,
|
| 392 |
+
"eval_runtime": 5.1472,
|
| 393 |
+
"eval_samples_per_second": 97.141,
|
| 394 |
+
"eval_steps_per_second": 12.24,
|
| 395 |
+
"step": 2625
|
| 396 |
+
},
|
| 397 |
+
{
|
| 398 |
+
"epoch": 14.0,
|
| 399 |
+
"eval_exact_match": 15.4,
|
| 400 |
+
"eval_f1": 24.02761904761905,
|
| 401 |
+
"step": 2625
|
| 402 |
+
},
|
| 403 |
+
{
|
| 404 |
+
"epoch": 14.4,
|
| 405 |
+
"grad_norm": 0.6873505115509033,
|
| 406 |
+
"learning_rate": 0.0001,
|
| 407 |
+
"loss": 0.4835,
|
| 408 |
+
"step": 2700
|
| 409 |
+
},
|
| 410 |
+
{
|
| 411 |
+
"epoch": 14.933333333333334,
|
| 412 |
+
"grad_norm": 0.7216406464576721,
|
| 413 |
+
"learning_rate": 0.0001,
|
| 414 |
+
"loss": 0.4966,
|
| 415 |
+
"step": 2800
|
| 416 |
+
},
|
| 417 |
+
{
|
| 418 |
+
"epoch": 14.997333333333334,
|
| 419 |
+
"eval_accuracy": 0.5585128205128205,
|
| 420 |
+
"eval_loss": 2.4315266609191895,
|
| 421 |
+
"eval_runtime": 5.7766,
|
| 422 |
+
"eval_samples_per_second": 86.556,
|
| 423 |
+
"eval_steps_per_second": 10.906,
|
| 424 |
+
"step": 2812
|
| 425 |
+
},
|
| 426 |
+
{
|
| 427 |
+
"epoch": 14.997333333333334,
|
| 428 |
+
"eval_exact_match": 15.2,
|
| 429 |
+
"eval_f1": 23.853333333333342,
|
| 430 |
+
"step": 2812
|
| 431 |
+
},
|
| 432 |
+
{
|
| 433 |
+
"epoch": 15.466666666666667,
|
| 434 |
+
"grad_norm": 0.7105251550674438,
|
| 435 |
+
"learning_rate": 0.0001,
|
| 436 |
+
"loss": 0.476,
|
| 437 |
+
"step": 2900
|
| 438 |
+
},
|
| 439 |
+
{
|
| 440 |
+
"epoch": 16.0,
|
| 441 |
+
"grad_norm": 0.6648848056793213,
|
| 442 |
+
"learning_rate": 0.0001,
|
| 443 |
+
"loss": 0.4967,
|
| 444 |
+
"step": 3000
|
| 445 |
+
},
|
| 446 |
+
{
|
| 447 |
+
"epoch": 16.0,
|
| 448 |
+
"eval_accuracy": 0.5587179487179487,
|
| 449 |
+
"eval_loss": 2.417990207672119,
|
| 450 |
+
"eval_runtime": 5.286,
|
| 451 |
+
"eval_samples_per_second": 94.589,
|
| 452 |
+
"eval_steps_per_second": 11.918,
|
| 453 |
+
"step": 3000
|
| 454 |
+
},
|
| 455 |
+
{
|
| 456 |
+
"epoch": 16.0,
|
| 457 |
+
"eval_exact_match": 14.8,
|
| 458 |
+
"eval_f1": 23.16634920634922,
|
| 459 |
+
"step": 3000
|
| 460 |
+
},
|
| 461 |
+
{
|
| 462 |
+
"epoch": 16.533333333333335,
|
| 463 |
+
"grad_norm": 0.7454655766487122,
|
| 464 |
+
"learning_rate": 0.0001,
|
| 465 |
+
"loss": 0.4692,
|
| 466 |
+
"step": 3100
|
| 467 |
+
},
|
| 468 |
+
{
|
| 469 |
+
"epoch": 16.997333333333334,
|
| 470 |
+
"eval_accuracy": 0.559076923076923,
|
| 471 |
+
"eval_loss": 2.4195001125335693,
|
| 472 |
+
"eval_runtime": 5.3355,
|
| 473 |
+
"eval_samples_per_second": 93.712,
|
| 474 |
+
"eval_steps_per_second": 11.808,
|
| 475 |
+
"step": 3187
|
| 476 |
+
},
|
| 477 |
+
{
|
| 478 |
+
"epoch": 16.997333333333334,
|
| 479 |
+
"eval_exact_match": 15.6,
|
| 480 |
+
"eval_f1": 24.129523809523818,
|
| 481 |
+
"step": 3187
|
| 482 |
+
},
|
| 483 |
+
{
|
| 484 |
+
"epoch": 17.066666666666666,
|
| 485 |
+
"grad_norm": 1.0016876459121704,
|
| 486 |
+
"learning_rate": 0.0001,
|
| 487 |
+
"loss": 0.4901,
|
| 488 |
+
"step": 3200
|
| 489 |
+
},
|
| 490 |
+
{
|
| 491 |
+
"epoch": 17.6,
|
| 492 |
+
"grad_norm": 1.0129618644714355,
|
| 493 |
+
"learning_rate": 0.0001,
|
| 494 |
+
"loss": 0.4738,
|
| 495 |
+
"step": 3300
|
| 496 |
+
},
|
| 497 |
+
{
|
| 498 |
+
"epoch": 18.0,
|
| 499 |
+
"eval_accuracy": 0.5584102564102564,
|
| 500 |
+
"eval_loss": 2.449228048324585,
|
| 501 |
+
"eval_runtime": 5.0748,
|
| 502 |
+
"eval_samples_per_second": 98.526,
|
| 503 |
+
"eval_steps_per_second": 12.414,
|
| 504 |
+
"step": 3375
|
| 505 |
+
},
|
| 506 |
+
{
|
| 507 |
+
"epoch": 18.0,
|
| 508 |
+
"eval_exact_match": 14.8,
|
| 509 |
+
"eval_f1": 23.08238095238097,
|
| 510 |
+
"step": 3375
|
| 511 |
+
},
|
| 512 |
+
{
|
| 513 |
+
"epoch": 18.133333333333333,
|
| 514 |
+
"grad_norm": 0.6989188194274902,
|
| 515 |
+
"learning_rate": 0.0001,
|
| 516 |
+
"loss": 0.4822,
|
| 517 |
+
"step": 3400
|
| 518 |
+
},
|
| 519 |
+
{
|
| 520 |
+
"epoch": 18.666666666666668,
|
| 521 |
+
"grad_norm": 0.730583667755127,
|
| 522 |
+
"learning_rate": 0.0001,
|
| 523 |
+
"loss": 0.4732,
|
| 524 |
+
"step": 3500
|
| 525 |
+
},
|
| 526 |
+
{
|
| 527 |
+
"epoch": 18.997333333333334,
|
| 528 |
+
"eval_accuracy": 0.5583076923076923,
|
| 529 |
+
"eval_loss": 2.410703182220459,
|
| 530 |
+
"eval_runtime": 5.3514,
|
| 531 |
+
"eval_samples_per_second": 93.434,
|
| 532 |
+
"eval_steps_per_second": 11.773,
|
| 533 |
+
"step": 3562
|
| 534 |
+
},
|
| 535 |
+
{
|
| 536 |
+
"epoch": 18.997333333333334,
|
| 537 |
+
"eval_exact_match": 15.4,
|
| 538 |
+
"eval_f1": 22.446825396825407,
|
| 539 |
+
"step": 3562
|
| 540 |
+
},
|
| 541 |
+
{
|
| 542 |
+
"epoch": 19.2,
|
| 543 |
+
"grad_norm": 0.6478275060653687,
|
| 544 |
+
"learning_rate": 0.0001,
|
| 545 |
+
"loss": 0.4765,
|
| 546 |
+
"step": 3600
|
| 547 |
+
},
|
| 548 |
+
{
|
| 549 |
+
"epoch": 19.733333333333334,
|
| 550 |
+
"grad_norm": 1.6843740940093994,
|
| 551 |
+
"learning_rate": 0.0001,
|
| 552 |
+
"loss": 0.4735,
|
| 553 |
+
"step": 3700
|
| 554 |
+
},
|
| 555 |
+
{
|
| 556 |
+
"epoch": 20.0,
|
| 557 |
+
"eval_accuracy": 0.5587692307692308,
|
| 558 |
+
"eval_loss": 2.4269626140594482,
|
| 559 |
+
"eval_runtime": 5.7798,
|
| 560 |
+
"eval_samples_per_second": 86.508,
|
| 561 |
+
"eval_steps_per_second": 10.9,
|
| 562 |
+
"step": 3750
|
| 563 |
+
},
|
| 564 |
+
{
|
| 565 |
+
"epoch": 20.0,
|
| 566 |
+
"eval_exact_match": 16.0,
|
| 567 |
+
"eval_f1": 23.713174603174604,
|
| 568 |
+
"step": 3750
|
| 569 |
+
},
|
| 570 |
+
{
|
| 571 |
+
"epoch": 20.266666666666666,
|
| 572 |
+
"grad_norm": 0.6934134364128113,
|
| 573 |
+
"learning_rate": 0.0001,
|
| 574 |
+
"loss": 0.471,
|
| 575 |
+
"step": 3800
|
| 576 |
+
},
|
| 577 |
+
{
|
| 578 |
+
"epoch": 20.8,
|
| 579 |
+
"grad_norm": 0.7414541244506836,
|
| 580 |
+
"learning_rate": 0.0001,
|
| 581 |
+
"loss": 0.4753,
|
| 582 |
+
"step": 3900
|
| 583 |
+
},
|
| 584 |
+
{
|
| 585 |
+
"epoch": 20.997333333333334,
|
| 586 |
+
"eval_accuracy": 0.5592820512820513,
|
| 587 |
+
"eval_loss": 2.4946200847625732,
|
| 588 |
+
"eval_runtime": 5.5089,
|
| 589 |
+
"eval_samples_per_second": 90.762,
|
| 590 |
+
"eval_steps_per_second": 11.436,
|
| 591 |
+
"step": 3937
|
| 592 |
+
},
|
| 593 |
+
{
|
| 594 |
+
"epoch": 20.997333333333334,
|
| 595 |
+
"eval_exact_match": 16.4,
|
| 596 |
+
"eval_f1": 24.212222222222234,
|
| 597 |
+
"step": 3937
|
| 598 |
+
},
|
| 599 |
+
{
|
| 600 |
+
"epoch": 21.333333333333332,
|
| 601 |
+
"grad_norm": 0.6189724206924438,
|
| 602 |
+
"learning_rate": 0.0001,
|
| 603 |
+
"loss": 0.465,
|
| 604 |
+
"step": 4000
|
| 605 |
+
},
|
| 606 |
+
{
|
| 607 |
+
"epoch": 21.866666666666667,
|
| 608 |
+
"grad_norm": 0.724271297454834,
|
| 609 |
+
"learning_rate": 0.0001,
|
| 610 |
+
"loss": 0.4758,
|
| 611 |
+
"step": 4100
|
| 612 |
+
},
|
| 613 |
+
{
|
| 614 |
+
"epoch": 22.0,
|
| 615 |
+
"eval_accuracy": 0.5568205128205128,
|
| 616 |
+
"eval_loss": 2.4646029472351074,
|
| 617 |
+
"eval_runtime": 4.9867,
|
| 618 |
+
"eval_samples_per_second": 100.268,
|
| 619 |
+
"eval_steps_per_second": 12.634,
|
| 620 |
+
"step": 4125
|
| 621 |
+
},
|
| 622 |
+
{
|
| 623 |
+
"epoch": 22.0,
|
| 624 |
+
"eval_exact_match": 14.0,
|
| 625 |
+
"eval_f1": 21.840793650793653,
|
| 626 |
+
"step": 4125
|
| 627 |
+
},
|
| 628 |
+
{
|
| 629 |
+
"epoch": 22.4,
|
| 630 |
+
"grad_norm": 0.8124653100967407,
|
| 631 |
+
"learning_rate": 0.0001,
|
| 632 |
+
"loss": 0.4629,
|
| 633 |
+
"step": 4200
|
| 634 |
+
},
|
| 635 |
+
{
|
| 636 |
+
"epoch": 22.933333333333334,
|
| 637 |
+
"grad_norm": 1.1330875158309937,
|
| 638 |
+
"learning_rate": 0.0001,
|
| 639 |
+
"loss": 0.4769,
|
| 640 |
+
"step": 4300
|
| 641 |
+
},
|
| 642 |
+
{
|
| 643 |
+
"epoch": 22.997333333333334,
|
| 644 |
+
"eval_accuracy": 0.5572307692307692,
|
| 645 |
+
"eval_loss": 2.4494264125823975,
|
| 646 |
+
"eval_runtime": 5.7914,
|
| 647 |
+
"eval_samples_per_second": 86.335,
|
| 648 |
+
"eval_steps_per_second": 10.878,
|
| 649 |
+
"step": 4312
|
| 650 |
+
},
|
| 651 |
+
{
|
| 652 |
+
"epoch": 22.997333333333334,
|
| 653 |
+
"eval_exact_match": 14.8,
|
| 654 |
+
"eval_f1": 23.25746031746033,
|
| 655 |
+
"step": 4312
|
| 656 |
+
},
|
| 657 |
+
{
|
| 658 |
+
"epoch": 23.466666666666665,
|
| 659 |
+
"grad_norm": 1.0306299924850464,
|
| 660 |
+
"learning_rate": 0.0001,
|
| 661 |
+
"loss": 0.4616,
|
| 662 |
+
"step": 4400
|
| 663 |
+
},
|
| 664 |
+
{
|
| 665 |
+
"epoch": 24.0,
|
| 666 |
+
"grad_norm": 0.5557557940483093,
|
| 667 |
+
"learning_rate": 0.0001,
|
| 668 |
+
"loss": 0.4766,
|
| 669 |
+
"step": 4500
|
| 670 |
+
},
|
| 671 |
+
{
|
| 672 |
+
"epoch": 24.0,
|
| 673 |
+
"eval_accuracy": 0.5583076923076923,
|
| 674 |
+
"eval_loss": 2.464630365371704,
|
| 675 |
+
"eval_runtime": 5.0419,
|
| 676 |
+
"eval_samples_per_second": 99.17,
|
| 677 |
+
"eval_steps_per_second": 12.495,
|
| 678 |
+
"step": 4500
|
| 679 |
+
},
|
| 680 |
+
{
|
| 681 |
+
"epoch": 24.0,
|
| 682 |
+
"eval_exact_match": 15.0,
|
| 683 |
+
"eval_f1": 23.326507936507948,
|
| 684 |
+
"step": 4500
|
| 685 |
+
},
|
| 686 |
+
{
|
| 687 |
+
"epoch": 24.533333333333335,
|
| 688 |
+
"grad_norm": 0.6188230514526367,
|
| 689 |
+
"learning_rate": 0.0001,
|
| 690 |
+
"loss": 0.4588,
|
| 691 |
+
"step": 4600
|
| 692 |
+
},
|
| 693 |
+
{
|
| 694 |
+
"epoch": 24.997333333333334,
|
| 695 |
+
"eval_accuracy": 0.5575897435897436,
|
| 696 |
+
"eval_loss": 2.4749364852905273,
|
| 697 |
+
"eval_runtime": 5.8046,
|
| 698 |
+
"eval_samples_per_second": 86.139,
|
| 699 |
+
"eval_steps_per_second": 10.854,
|
| 700 |
+
"step": 4687
|
| 701 |
+
},
|
| 702 |
+
{
|
| 703 |
+
"epoch": 24.997333333333334,
|
| 704 |
+
"eval_exact_match": 15.4,
|
| 705 |
+
"eval_f1": 23.709696969696974,
|
| 706 |
+
"step": 4687
|
| 707 |
+
},
|
| 708 |
+
{
|
| 709 |
+
"epoch": 25.066666666666666,
|
| 710 |
+
"grad_norm": 0.5854879021644592,
|
| 711 |
+
"learning_rate": 0.0001,
|
| 712 |
+
"loss": 0.47,
|
| 713 |
+
"step": 4700
|
| 714 |
+
},
|
| 715 |
+
{
|
| 716 |
+
"epoch": 25.6,
|
| 717 |
+
"grad_norm": 0.5842415690422058,
|
| 718 |
+
"learning_rate": 0.0001,
|
| 719 |
+
"loss": 0.4596,
|
| 720 |
+
"step": 4800
|
| 721 |
+
},
|
| 722 |
+
{
|
| 723 |
+
"epoch": 26.0,
|
| 724 |
+
"eval_accuracy": 0.5573333333333333,
|
| 725 |
+
"eval_loss": 2.4922566413879395,
|
| 726 |
+
"eval_runtime": 5.1065,
|
| 727 |
+
"eval_samples_per_second": 97.914,
|
| 728 |
+
"eval_steps_per_second": 12.337,
|
| 729 |
+
"step": 4875
|
| 730 |
+
},
|
| 731 |
+
{
|
| 732 |
+
"epoch": 26.0,
|
| 733 |
+
"eval_exact_match": 14.0,
|
| 734 |
+
"eval_f1": 22.40301587301588,
|
| 735 |
+
"step": 4875
|
| 736 |
+
},
|
| 737 |
+
{
|
| 738 |
+
"epoch": 26.133333333333333,
|
| 739 |
+
"grad_norm": 0.736111044883728,
|
| 740 |
+
"learning_rate": 0.0001,
|
| 741 |
+
"loss": 0.4699,
|
| 742 |
+
"step": 4900
|
| 743 |
+
},
|
| 744 |
+
{
|
| 745 |
+
"epoch": 26.666666666666668,
|
| 746 |
+
"grad_norm": 0.6232179403305054,
|
| 747 |
+
"learning_rate": 0.0001,
|
| 748 |
+
"loss": 0.4618,
|
| 749 |
+
"step": 5000
|
| 750 |
+
},
|
| 751 |
+
{
|
| 752 |
+
"epoch": 26.997333333333334,
|
| 753 |
+
"eval_accuracy": 0.558,
|
| 754 |
+
"eval_loss": 2.454937696456909,
|
| 755 |
+
"eval_runtime": 5.1785,
|
| 756 |
+
"eval_samples_per_second": 96.553,
|
| 757 |
+
"eval_steps_per_second": 12.166,
|
| 758 |
+
"step": 5062
|
| 759 |
+
},
|
| 760 |
+
{
|
| 761 |
+
"epoch": 26.997333333333334,
|
| 762 |
+
"eval_exact_match": 14.4,
|
| 763 |
+
"eval_f1": 23.143809523809526,
|
| 764 |
+
"step": 5062
|
| 765 |
+
},
|
| 766 |
+
{
|
| 767 |
+
"epoch": 27.2,
|
| 768 |
+
"grad_norm": 0.6592839956283569,
|
| 769 |
+
"learning_rate": 0.0001,
|
| 770 |
+
"loss": 0.4626,
|
| 771 |
+
"step": 5100
|
| 772 |
+
},
|
| 773 |
+
{
|
| 774 |
+
"epoch": 27.733333333333334,
|
| 775 |
+
"grad_norm": 0.5580378174781799,
|
| 776 |
+
"learning_rate": 0.0001,
|
| 777 |
+
"loss": 0.4646,
|
| 778 |
+
"step": 5200
|
| 779 |
+
},
|
| 780 |
+
{
|
| 781 |
+
"epoch": 28.0,
|
| 782 |
+
"eval_accuracy": 0.5573333333333333,
|
| 783 |
+
"eval_loss": 2.475144147872925,
|
| 784 |
+
"eval_runtime": 5.7088,
|
| 785 |
+
"eval_samples_per_second": 87.584,
|
| 786 |
+
"eval_steps_per_second": 11.036,
|
| 787 |
+
"step": 5250
|
| 788 |
+
},
|
| 789 |
+
{
|
| 790 |
+
"epoch": 28.0,
|
| 791 |
+
"eval_exact_match": 14.8,
|
| 792 |
+
"eval_f1": 22.921428571428585,
|
| 793 |
+
"step": 5250
|
| 794 |
+
},
|
| 795 |
+
{
|
| 796 |
+
"epoch": 28.266666666666666,
|
| 797 |
+
"grad_norm": 0.6161842346191406,
|
| 798 |
+
"learning_rate": 0.0001,
|
| 799 |
+
"loss": 0.4611,
|
| 800 |
+
"step": 5300
|
| 801 |
+
},
|
| 802 |
+
{
|
| 803 |
+
"epoch": 28.8,
|
| 804 |
+
"grad_norm": 0.5740762948989868,
|
| 805 |
+
"learning_rate": 0.0001,
|
| 806 |
+
"loss": 0.4645,
|
| 807 |
+
"step": 5400
|
| 808 |
+
},
|
| 809 |
+
{
|
| 810 |
+
"epoch": 28.997333333333334,
|
| 811 |
+
"eval_accuracy": 0.5574871794871795,
|
| 812 |
+
"eval_loss": 2.5007574558258057,
|
| 813 |
+
"eval_runtime": 5.7875,
|
| 814 |
+
"eval_samples_per_second": 86.393,
|
| 815 |
+
"eval_steps_per_second": 10.886,
|
| 816 |
+
"step": 5437
|
| 817 |
+
},
|
| 818 |
+
{
|
| 819 |
+
"epoch": 28.997333333333334,
|
| 820 |
+
"eval_exact_match": 15.2,
|
| 821 |
+
"eval_f1": 23.13380952380953,
|
| 822 |
+
"step": 5437
|
| 823 |
+
},
|
| 824 |
+
{
|
| 825 |
+
"epoch": 29.333333333333332,
|
| 826 |
+
"grad_norm": 1.0054398775100708,
|
| 827 |
+
"learning_rate": 0.0001,
|
| 828 |
+
"loss": 0.4562,
|
| 829 |
+
"step": 5500
|
| 830 |
+
},
|
| 831 |
+
{
|
| 832 |
+
"epoch": 29.866666666666667,
|
| 833 |
+
"grad_norm": 0.8751959800720215,
|
| 834 |
+
"learning_rate": 0.0001,
|
| 835 |
+
"loss": 0.4669,
|
| 836 |
+
"step": 5600
|
| 837 |
+
},
|
| 838 |
+
{
|
| 839 |
+
"epoch": 30.0,
|
| 840 |
+
"eval_accuracy": 0.5561025641025641,
|
| 841 |
+
"eval_loss": 2.482387065887451,
|
| 842 |
+
"eval_runtime": 5.1096,
|
| 843 |
+
"eval_samples_per_second": 97.855,
|
| 844 |
+
"eval_steps_per_second": 12.33,
|
| 845 |
+
"step": 5625
|
| 846 |
+
},
|
| 847 |
+
{
|
| 848 |
+
"epoch": 30.0,
|
| 849 |
+
"eval_exact_match": 15.6,
|
| 850 |
+
"eval_f1": 23.701428571428576,
|
| 851 |
+
"step": 5625
|
| 852 |
+
},
|
| 853 |
+
{
|
| 854 |
+
"epoch": 30.4,
|
| 855 |
+
"grad_norm": 0.6013503670692444,
|
| 856 |
+
"learning_rate": 0.0001,
|
| 857 |
+
"loss": 0.4536,
|
| 858 |
+
"step": 5700
|
| 859 |
+
},
|
| 860 |
+
{
|
| 861 |
+
"epoch": 30.933333333333334,
|
| 862 |
+
"grad_norm": 0.559660792350769,
|
| 863 |
+
"learning_rate": 0.0001,
|
| 864 |
+
"loss": 0.4675,
|
| 865 |
+
"step": 5800
|
| 866 |
+
},
|
| 867 |
+
{
|
| 868 |
+
"epoch": 30.997333333333334,
|
| 869 |
+
"eval_accuracy": 0.5568205128205128,
|
| 870 |
+
"eval_loss": 2.4686777591705322,
|
| 871 |
+
"eval_runtime": 5.4297,
|
| 872 |
+
"eval_samples_per_second": 92.086,
|
| 873 |
+
"eval_steps_per_second": 11.603,
|
| 874 |
+
"step": 5812
|
| 875 |
+
},
|
| 876 |
+
{
|
| 877 |
+
"epoch": 30.997333333333334,
|
| 878 |
+
"eval_exact_match": 16.8,
|
| 879 |
+
"eval_f1": 25.139682539682543,
|
| 880 |
+
"step": 5812
|
| 881 |
+
},
|
| 882 |
+
{
|
| 883 |
+
"epoch": 31.466666666666665,
|
| 884 |
+
"grad_norm": 0.8210071921348572,
|
| 885 |
+
"learning_rate": 0.0001,
|
| 886 |
+
"loss": 0.4503,
|
| 887 |
+
"step": 5900
|
| 888 |
+
},
|
| 889 |
+
{
|
| 890 |
+
"epoch": 32.0,
|
| 891 |
+
"grad_norm": 0.7878498435020447,
|
| 892 |
+
"learning_rate": 0.0001,
|
| 893 |
+
"loss": 0.4701,
|
| 894 |
+
"step": 6000
|
| 895 |
+
},
|
| 896 |
+
{
|
| 897 |
+
"epoch": 32.0,
|
| 898 |
+
"eval_accuracy": 0.556923076923077,
|
| 899 |
+
"eval_loss": 2.4814717769622803,
|
| 900 |
+
"eval_runtime": 4.9983,
|
| 901 |
+
"eval_samples_per_second": 100.033,
|
| 902 |
+
"eval_steps_per_second": 12.604,
|
| 903 |
+
"step": 6000
|
| 904 |
+
},
|
| 905 |
+
{
|
| 906 |
+
"epoch": 32.0,
|
| 907 |
+
"eval_exact_match": 16.2,
|
| 908 |
+
"eval_f1": 24.101428571428585,
|
| 909 |
+
"step": 6000
|
| 910 |
+
},
|
| 911 |
+
{
|
| 912 |
+
"epoch": 32.53333333333333,
|
| 913 |
+
"grad_norm": 0.6601159572601318,
|
| 914 |
+
"learning_rate": 0.0001,
|
| 915 |
+
"loss": 0.4504,
|
| 916 |
+
"step": 6100
|
| 917 |
+
},
|
| 918 |
+
{
|
| 919 |
+
"epoch": 32.99733333333333,
|
| 920 |
+
"eval_accuracy": 0.5563589743589744,
|
| 921 |
+
"eval_loss": 2.513813018798828,
|
| 922 |
+
"eval_runtime": 5.3528,
|
| 923 |
+
"eval_samples_per_second": 93.409,
|
| 924 |
+
"eval_steps_per_second": 11.769,
|
| 925 |
+
"step": 6187
|
| 926 |
+
},
|
| 927 |
+
{
|
| 928 |
+
"epoch": 32.99733333333333,
|
| 929 |
+
"eval_exact_match": 15.6,
|
| 930 |
+
"eval_f1": 23.765714285714292,
|
| 931 |
+
"step": 6187
|
| 932 |
+
},
|
| 933 |
+
{
|
| 934 |
+
"epoch": 33.06666666666667,
|
| 935 |
+
"grad_norm": 0.5784469842910767,
|
| 936 |
+
"learning_rate": 0.0001,
|
| 937 |
+
"loss": 0.4622,
|
| 938 |
+
"step": 6200
|
| 939 |
+
},
|
| 940 |
+
{
|
| 941 |
+
"epoch": 33.6,
|
| 942 |
+
"grad_norm": 0.6005637645721436,
|
| 943 |
+
"learning_rate": 0.0001,
|
| 944 |
+
"loss": 0.4522,
|
| 945 |
+
"step": 6300
|
| 946 |
+
},
|
| 947 |
+
{
|
| 948 |
+
"epoch": 34.0,
|
| 949 |
+
"eval_accuracy": 0.5565128205128205,
|
| 950 |
+
"eval_loss": 2.504781723022461,
|
| 951 |
+
"eval_runtime": 5.7399,
|
| 952 |
+
"eval_samples_per_second": 87.109,
|
| 953 |
+
"eval_steps_per_second": 10.976,
|
| 954 |
+
"step": 6375
|
| 955 |
+
},
|
| 956 |
+
{
|
| 957 |
+
"epoch": 34.0,
|
| 958 |
+
"eval_exact_match": 14.2,
|
| 959 |
+
"eval_f1": 23.09952380952382,
|
| 960 |
+
"step": 6375
|
| 961 |
+
},
|
| 962 |
+
{
|
| 963 |
+
"epoch": 34.13333333333333,
|
| 964 |
+
"grad_norm": 0.5809851288795471,
|
| 965 |
+
"learning_rate": 0.0001,
|
| 966 |
+
"loss": 0.4607,
|
| 967 |
+
"step": 6400
|
| 968 |
+
},
|
| 969 |
+
{
|
| 970 |
+
"epoch": 34.666666666666664,
|
| 971 |
+
"grad_norm": 0.6082825064659119,
|
| 972 |
+
"learning_rate": 0.0001,
|
| 973 |
+
"loss": 0.4526,
|
| 974 |
+
"step": 6500
|
| 975 |
+
},
|
| 976 |
+
{
|
| 977 |
+
"epoch": 34.99733333333333,
|
| 978 |
+
"eval_accuracy": 0.5563589743589744,
|
| 979 |
+
"eval_loss": 2.529914617538452,
|
| 980 |
+
"eval_runtime": 5.3389,
|
| 981 |
+
"eval_samples_per_second": 93.652,
|
| 982 |
+
"eval_steps_per_second": 11.8,
|
| 983 |
+
"step": 6562
|
| 984 |
+
},
|
| 985 |
+
{
|
| 986 |
+
"epoch": 34.99733333333333,
|
| 987 |
+
"eval_exact_match": 15.4,
|
| 988 |
+
"eval_f1": 23.87190476190477,
|
| 989 |
+
"step": 6562
|
| 990 |
+
},
|
| 991 |
+
{
|
| 992 |
+
"epoch": 35.2,
|
| 993 |
+
"grad_norm": 0.5042786002159119,
|
| 994 |
+
"learning_rate": 0.0001,
|
| 995 |
+
"loss": 0.4545,
|
| 996 |
+
"step": 6600
|
| 997 |
+
},
|
| 998 |
+
{
|
| 999 |
+
"epoch": 35.733333333333334,
|
| 1000 |
+
"grad_norm": 0.8007566928863525,
|
| 1001 |
+
"learning_rate": 0.0001,
|
| 1002 |
+
"loss": 0.4558,
|
| 1003 |
+
"step": 6700
|
| 1004 |
+
},
|
| 1005 |
+
{
|
| 1006 |
+
"epoch": 36.0,
|
| 1007 |
+
"eval_accuracy": 0.5582564102564103,
|
| 1008 |
+
"eval_loss": 2.485551357269287,
|
| 1009 |
+
"eval_runtime": 5.7241,
|
| 1010 |
+
"eval_samples_per_second": 87.351,
|
| 1011 |
+
"eval_steps_per_second": 11.006,
|
| 1012 |
+
"step": 6750
|
| 1013 |
+
},
|
| 1014 |
+
{
|
| 1015 |
+
"epoch": 36.0,
|
| 1016 |
+
"eval_exact_match": 15.8,
|
| 1017 |
+
"eval_f1": 23.60142857142858,
|
| 1018 |
+
"step": 6750
|
| 1019 |
+
},
|
| 1020 |
+
{
|
| 1021 |
+
"epoch": 36.266666666666666,
|
| 1022 |
+
"grad_norm": 0.4920075535774231,
|
| 1023 |
+
"learning_rate": 0.0001,
|
| 1024 |
+
"loss": 0.452,
|
| 1025 |
+
"step": 6800
|
| 1026 |
+
},
|
| 1027 |
+
{
|
| 1028 |
+
"epoch": 36.8,
|
| 1029 |
+
"grad_norm": 0.5003876686096191,
|
| 1030 |
+
"learning_rate": 0.0001,
|
| 1031 |
+
"loss": 0.458,
|
| 1032 |
+
"step": 6900
|
| 1033 |
+
},
|
| 1034 |
+
{
|
| 1035 |
+
"epoch": 36.99733333333333,
|
| 1036 |
+
"eval_accuracy": 0.5572820512820513,
|
| 1037 |
+
"eval_loss": 2.516226291656494,
|
| 1038 |
+
"eval_runtime": 5.7691,
|
| 1039 |
+
"eval_samples_per_second": 86.669,
|
| 1040 |
+
"eval_steps_per_second": 10.92,
|
| 1041 |
+
"step": 6937
|
| 1042 |
+
},
|
| 1043 |
+
{
|
| 1044 |
+
"epoch": 36.99733333333333,
|
| 1045 |
+
"eval_exact_match": 15.0,
|
| 1046 |
+
"eval_f1": 22.680317460317468,
|
| 1047 |
+
"step": 6937
|
| 1048 |
+
},
|
| 1049 |
+
{
|
| 1050 |
+
"epoch": 37.333333333333336,
|
| 1051 |
+
"grad_norm": 0.5616186261177063,
|
| 1052 |
+
"learning_rate": 0.0001,
|
| 1053 |
+
"loss": 0.4512,
|
| 1054 |
+
"step": 7000
|
| 1055 |
+
},
|
| 1056 |
+
{
|
| 1057 |
+
"epoch": 37.86666666666667,
|
| 1058 |
+
"grad_norm": 0.5125617384910583,
|
| 1059 |
+
"learning_rate": 0.0001,
|
| 1060 |
+
"loss": 0.4597,
|
| 1061 |
+
"step": 7100
|
| 1062 |
+
},
|
| 1063 |
+
{
|
| 1064 |
+
"epoch": 38.0,
|
| 1065 |
+
"eval_accuracy": 0.555025641025641,
|
| 1066 |
+
"eval_loss": 2.5178050994873047,
|
| 1067 |
+
"eval_runtime": 4.9917,
|
| 1068 |
+
"eval_samples_per_second": 100.167,
|
| 1069 |
+
"eval_steps_per_second": 12.621,
|
| 1070 |
+
"step": 7125
|
| 1071 |
+
},
|
| 1072 |
+
{
|
| 1073 |
+
"epoch": 38.0,
|
| 1074 |
+
"eval_exact_match": 14.2,
|
| 1075 |
+
"eval_f1": 21.111904761904768,
|
| 1076 |
+
"step": 7125
|
| 1077 |
+
},
|
| 1078 |
+
{
|
| 1079 |
+
"epoch": 38.4,
|
| 1080 |
+
"grad_norm": 0.5520429015159607,
|
| 1081 |
+
"learning_rate": 0.0001,
|
| 1082 |
+
"loss": 0.4463,
|
| 1083 |
+
"step": 7200
|
| 1084 |
+
},
|
| 1085 |
+
{
|
| 1086 |
+
"epoch": 38.93333333333333,
|
| 1087 |
+
"grad_norm": 0.630486249923706,
|
| 1088 |
+
"learning_rate": 0.0001,
|
| 1089 |
+
"loss": 0.4607,
|
| 1090 |
+
"step": 7300
|
| 1091 |
+
},
|
| 1092 |
+
{
|
| 1093 |
+
"epoch": 38.99733333333333,
|
| 1094 |
+
"eval_accuracy": 0.5562051282051282,
|
| 1095 |
+
"eval_loss": 2.5462260246276855,
|
| 1096 |
+
"eval_runtime": 5.7594,
|
| 1097 |
+
"eval_samples_per_second": 86.815,
|
| 1098 |
+
"eval_steps_per_second": 10.939,
|
| 1099 |
+
"step": 7312
|
| 1100 |
+
},
|
| 1101 |
+
{
|
| 1102 |
+
"epoch": 38.99733333333333,
|
| 1103 |
+
"eval_exact_match": 14.8,
|
| 1104 |
+
"eval_f1": 22.822857142857156,
|
| 1105 |
+
"step": 7312
|
| 1106 |
+
},
|
| 1107 |
+
{
|
| 1108 |
+
"epoch": 39.46666666666667,
|
| 1109 |
+
"grad_norm": 0.5777439475059509,
|
| 1110 |
+
"learning_rate": 0.0001,
|
| 1111 |
+
"loss": 0.4447,
|
| 1112 |
+
"step": 7400
|
| 1113 |
+
},
|
| 1114 |
+
{
|
| 1115 |
+
"epoch": 40.0,
|
| 1116 |
+
"grad_norm": 0.5794367790222168,
|
| 1117 |
+
"learning_rate": 0.0001,
|
| 1118 |
+
"loss": 0.4614,
|
| 1119 |
+
"step": 7500
|
| 1120 |
+
},
|
| 1121 |
+
{
|
| 1122 |
+
"epoch": 40.0,
|
| 1123 |
+
"eval_accuracy": 0.5564615384615385,
|
| 1124 |
+
"eval_loss": 2.5492753982543945,
|
| 1125 |
+
"eval_runtime": 4.9903,
|
| 1126 |
+
"eval_samples_per_second": 100.194,
|
| 1127 |
+
"eval_steps_per_second": 12.624,
|
| 1128 |
+
"step": 7500
|
| 1129 |
+
},
|
| 1130 |
+
{
|
| 1131 |
+
"epoch": 40.0,
|
| 1132 |
+
"eval_exact_match": 15.0,
|
| 1133 |
+
"eval_f1": 22.4652380952381,
|
| 1134 |
+
"step": 7500
|
| 1135 |
+
},
|
| 1136 |
+
{
|
| 1137 |
+
"epoch": 40.53333333333333,
|
| 1138 |
+
"grad_norm": 0.5546026229858398,
|
| 1139 |
+
"learning_rate": 0.0001,
|
| 1140 |
+
"loss": 0.4449,
|
| 1141 |
+
"step": 7600
|
| 1142 |
+
},
|
| 1143 |
+
{
|
| 1144 |
+
"epoch": 40.99733333333333,
|
| 1145 |
+
"eval_accuracy": 0.5558461538461539,
|
| 1146 |
+
"eval_loss": 2.564469814300537,
|
| 1147 |
+
"eval_runtime": 5.0211,
|
| 1148 |
+
"eval_samples_per_second": 99.581,
|
| 1149 |
+
"eval_steps_per_second": 12.547,
|
| 1150 |
+
"step": 7687
|
| 1151 |
+
},
|
| 1152 |
+
{
|
| 1153 |
+
"epoch": 40.99733333333333,
|
| 1154 |
+
"eval_exact_match": 15.8,
|
| 1155 |
+
"eval_f1": 23.358571428571434,
|
| 1156 |
+
"step": 7687
|
| 1157 |
+
},
|
| 1158 |
+
{
|
| 1159 |
+
"epoch": 41.06666666666667,
|
| 1160 |
+
"grad_norm": 0.5399795770645142,
|
| 1161 |
+
"learning_rate": 0.0001,
|
| 1162 |
+
"loss": 0.4561,
|
| 1163 |
+
"step": 7700
|
| 1164 |
+
},
|
| 1165 |
+
{
|
| 1166 |
+
"epoch": 41.6,
|
| 1167 |
+
"grad_norm": 0.5286694765090942,
|
| 1168 |
+
"learning_rate": 0.0001,
|
| 1169 |
+
"loss": 0.4472,
|
| 1170 |
+
"step": 7800
|
| 1171 |
+
},
|
| 1172 |
+
{
|
| 1173 |
+
"epoch": 42.0,
|
| 1174 |
+
"eval_accuracy": 0.5548717948717948,
|
| 1175 |
+
"eval_loss": 2.538248062133789,
|
| 1176 |
+
"eval_runtime": 4.9877,
|
| 1177 |
+
"eval_samples_per_second": 100.246,
|
| 1178 |
+
"eval_steps_per_second": 12.631,
|
| 1179 |
+
"step": 7875
|
| 1180 |
+
},
|
| 1181 |
+
{
|
| 1182 |
+
"epoch": 42.0,
|
| 1183 |
+
"eval_exact_match": 14.2,
|
| 1184 |
+
"eval_f1": 22.103809523809534,
|
| 1185 |
+
"step": 7875
|
| 1186 |
+
}
|
| 1187 |
+
],
|
| 1188 |
+
"logging_steps": 100,
|
| 1189 |
+
"max_steps": 9350,
|
| 1190 |
+
"num_input_tokens_seen": 0,
|
| 1191 |
+
"num_train_epochs": 50,
|
| 1192 |
+
"save_steps": 500,
|
| 1193 |
+
"stateful_callbacks": {
|
| 1194 |
+
"TrainerControl": {
|
| 1195 |
+
"args": {
|
| 1196 |
+
"should_epoch_stop": false,
|
| 1197 |
+
"should_evaluate": false,
|
| 1198 |
+
"should_log": false,
|
| 1199 |
+
"should_save": true,
|
| 1200 |
+
"should_training_stop": false
|
| 1201 |
+
},
|
| 1202 |
+
"attributes": {}
|
| 1203 |
+
}
|
| 1204 |
+
},
|
| 1205 |
+
"total_flos": 1.442599289267159e+17,
|
| 1206 |
+
"train_batch_size": 2,
|
| 1207 |
+
"trial_name": null,
|
| 1208 |
+
"trial_params": null
|
| 1209 |
+
}
|
checkpoint-7875/training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d667d5e0e40fe951f9fe0d2cd7fb4682a608b09af78a113a245307211adedfbc
|
| 3 |
+
size 5304
|
checkpoint-7875/vocab.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|