hflserdaniel
commited on
Upload folder using huggingface_hub
Browse files- config.json +29 -0
- generation_config.json +7 -0
- model-00001-of-00015.safetensors +3 -0
- model-00002-of-00015.safetensors +3 -0
- model-00003-of-00015.safetensors +3 -0
- model-00004-of-00015.safetensors +3 -0
- model-00005-of-00015.safetensors +3 -0
- model-00006-of-00015.safetensors +3 -0
- model-00007-of-00015.safetensors +3 -0
- model-00008-of-00015.safetensors +3 -0
- model-00009-of-00015.safetensors +3 -0
- model-00010-of-00015.safetensors +3 -0
- model-00011-of-00015.safetensors +3 -0
- model-00012-of-00015.safetensors +3 -0
- model-00013-of-00015.safetensors +3 -0
- model-00014-of-00015.safetensors +3 -0
- model-00015-of-00015.safetensors +3 -0
- model.safetensors.index.json +550 -0
- special_tokens_map.json +30 -0
- tokenizer.model +3 -0
- tokenizer_config.json +43 -0
- trainer_state.json +1253 -0
- training_args.bin +3 -0
config.json
ADDED
@@ -0,0 +1,29 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "/paratera5-data/home/wangchenyue/model/SUS-Chat-34B",
|
3 |
+
"architectures": [
|
4 |
+
"LlamaForCausalLM"
|
5 |
+
],
|
6 |
+
"attention_bias": false,
|
7 |
+
"attention_dropout": 0.0,
|
8 |
+
"bos_token_id": 1,
|
9 |
+
"eos_token_id": 2,
|
10 |
+
"hidden_act": "silu",
|
11 |
+
"hidden_size": 7168,
|
12 |
+
"initializer_range": 0.02,
|
13 |
+
"intermediate_size": 20480,
|
14 |
+
"max_position_embeddings": 8192,
|
15 |
+
"model_type": "llama",
|
16 |
+
"num_attention_heads": 56,
|
17 |
+
"num_hidden_layers": 60,
|
18 |
+
"num_key_value_heads": 8,
|
19 |
+
"pad_token_id": 0,
|
20 |
+
"pretraining_tp": 1,
|
21 |
+
"rms_norm_eps": 1e-05,
|
22 |
+
"rope_scaling": null,
|
23 |
+
"rope_theta": 5000000.0,
|
24 |
+
"tie_word_embeddings": false,
|
25 |
+
"torch_dtype": "bfloat16",
|
26 |
+
"transformers_version": "4.37.0.dev0",
|
27 |
+
"use_cache": false,
|
28 |
+
"vocab_size": 64000
|
29 |
+
}
|
generation_config.json
ADDED
@@ -0,0 +1,7 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_from_model_config": true,
|
3 |
+
"bos_token_id": 1,
|
4 |
+
"eos_token_id": 2,
|
5 |
+
"pad_token_id": 0,
|
6 |
+
"transformers_version": "4.37.0.dev0"
|
7 |
+
}
|
model-00001-of-00015.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:95f013399b78819699db1c593681c158fff71979f9b58a1728ef7c26ef40f403
|
3 |
+
size 4793130760
|
model-00002-of-00015.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:e312008720ef7c1d4128837a83334cdde0be497b661fcf0eb08ff5b50022b0bb
|
3 |
+
size 4756459720
|
model-00003-of-00015.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:9319b1a1247f79a10c307168b99cb0f0be6bf2a9f24f1ca7a9b0f04c1a475a31
|
3 |
+
size 4991370136
|
model-00004-of-00015.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:f3363ae5a43f5648d95fb28bed3969434410e2796276e9d76bc5f61198e0b776
|
3 |
+
size 4756459760
|
model-00005-of-00015.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:9808b4dba5605dc57ebbd8de8f3dd7f45eaef4d96f2d3927da0452886bbc2131
|
3 |
+
size 4756459760
|
model-00006-of-00015.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:83ffe346d7c0ae424c6f0d98c176ef2e8bc59f4908a306153c7234d1ec0ac67d
|
3 |
+
size 4991370160
|
model-00007-of-00015.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:20be248e011be9eb8c744c6cd07166945bf0b747ad838e7888dfd06c86d49aff
|
3 |
+
size 4756459760
|
model-00008-of-00015.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:1439bb19c3ec01cc3225e02938c8f7df39089677e5c1367a2d0a957e3b6c9537
|
3 |
+
size 4756459760
|
model-00009-of-00015.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:cf31b42180ddfbc1d1e4f0a651694589de99c773184a9ac54e114a0f66ece7ce
|
3 |
+
size 4991370160
|
model-00010-of-00015.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:46265598131aab950f9b176b39115ecf344dd4b456c269f5761c76bcc5c0e426
|
3 |
+
size 4756459760
|
model-00011-of-00015.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:9334aea16b6f214360a2108da2daf21c13f4ce634e0a056d0521cd37066d4fc2
|
3 |
+
size 4756459760
|
model-00012-of-00015.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:a6315c154a0f7ed1b8cbeb85325a60b2f7895e5bf0a1caf77dc54cad5a6bbbb3
|
3 |
+
size 4991370160
|
model-00013-of-00015.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:02c1a987e07384ace245a66ada75690792b162dd76adb87101bbcd0e662e0e49
|
3 |
+
size 4756459760
|
model-00014-of-00015.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:dc2cd5d2be196cf0c00660ce8a446dbb189362edbe92ba1d263e132b509d3216
|
3 |
+
size 4756459760
|
model-00015-of-00015.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:f7c0329212b25e1e51ca9360bd3f28184300b6845e100c760a26a5042dc94b58
|
3 |
+
size 1211148856
|
model.safetensors.index.json
ADDED
@@ -0,0 +1,550 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"metadata": {
|
3 |
+
"total_size": 68777834496
|
4 |
+
},
|
5 |
+
"weight_map": {
|
6 |
+
"lm_head.weight": "model-00015-of-00015.safetensors",
|
7 |
+
"model.embed_tokens.weight": "model-00001-of-00015.safetensors",
|
8 |
+
"model.layers.0.input_layernorm.weight": "model-00001-of-00015.safetensors",
|
9 |
+
"model.layers.0.mlp.down_proj.weight": "model-00001-of-00015.safetensors",
|
10 |
+
"model.layers.0.mlp.gate_proj.weight": "model-00001-of-00015.safetensors",
|
11 |
+
"model.layers.0.mlp.up_proj.weight": "model-00001-of-00015.safetensors",
|
12 |
+
"model.layers.0.post_attention_layernorm.weight": "model-00001-of-00015.safetensors",
|
13 |
+
"model.layers.0.self_attn.k_proj.weight": "model-00001-of-00015.safetensors",
|
14 |
+
"model.layers.0.self_attn.o_proj.weight": "model-00001-of-00015.safetensors",
|
15 |
+
"model.layers.0.self_attn.q_proj.weight": "model-00001-of-00015.safetensors",
|
16 |
+
"model.layers.0.self_attn.v_proj.weight": "model-00001-of-00015.safetensors",
|
17 |
+
"model.layers.1.input_layernorm.weight": "model-00001-of-00015.safetensors",
|
18 |
+
"model.layers.1.mlp.down_proj.weight": "model-00001-of-00015.safetensors",
|
19 |
+
"model.layers.1.mlp.gate_proj.weight": "model-00001-of-00015.safetensors",
|
20 |
+
"model.layers.1.mlp.up_proj.weight": "model-00001-of-00015.safetensors",
|
21 |
+
"model.layers.1.post_attention_layernorm.weight": "model-00001-of-00015.safetensors",
|
22 |
+
"model.layers.1.self_attn.k_proj.weight": "model-00001-of-00015.safetensors",
|
23 |
+
"model.layers.1.self_attn.o_proj.weight": "model-00001-of-00015.safetensors",
|
24 |
+
"model.layers.1.self_attn.q_proj.weight": "model-00001-of-00015.safetensors",
|
25 |
+
"model.layers.1.self_attn.v_proj.weight": "model-00001-of-00015.safetensors",
|
26 |
+
"model.layers.10.input_layernorm.weight": "model-00003-of-00015.safetensors",
|
27 |
+
"model.layers.10.mlp.down_proj.weight": "model-00003-of-00015.safetensors",
|
28 |
+
"model.layers.10.mlp.gate_proj.weight": "model-00003-of-00015.safetensors",
|
29 |
+
"model.layers.10.mlp.up_proj.weight": "model-00003-of-00015.safetensors",
|
30 |
+
"model.layers.10.post_attention_layernorm.weight": "model-00003-of-00015.safetensors",
|
31 |
+
"model.layers.10.self_attn.k_proj.weight": "model-00003-of-00015.safetensors",
|
32 |
+
"model.layers.10.self_attn.o_proj.weight": "model-00003-of-00015.safetensors",
|
33 |
+
"model.layers.10.self_attn.q_proj.weight": "model-00003-of-00015.safetensors",
|
34 |
+
"model.layers.10.self_attn.v_proj.weight": "model-00003-of-00015.safetensors",
|
35 |
+
"model.layers.11.input_layernorm.weight": "model-00003-of-00015.safetensors",
|
36 |
+
"model.layers.11.mlp.down_proj.weight": "model-00003-of-00015.safetensors",
|
37 |
+
"model.layers.11.mlp.gate_proj.weight": "model-00003-of-00015.safetensors",
|
38 |
+
"model.layers.11.mlp.up_proj.weight": "model-00003-of-00015.safetensors",
|
39 |
+
"model.layers.11.post_attention_layernorm.weight": "model-00003-of-00015.safetensors",
|
40 |
+
"model.layers.11.self_attn.k_proj.weight": "model-00003-of-00015.safetensors",
|
41 |
+
"model.layers.11.self_attn.o_proj.weight": "model-00003-of-00015.safetensors",
|
42 |
+
"model.layers.11.self_attn.q_proj.weight": "model-00003-of-00015.safetensors",
|
43 |
+
"model.layers.11.self_attn.v_proj.weight": "model-00003-of-00015.safetensors",
|
44 |
+
"model.layers.12.input_layernorm.weight": "model-00004-of-00015.safetensors",
|
45 |
+
"model.layers.12.mlp.down_proj.weight": "model-00004-of-00015.safetensors",
|
46 |
+
"model.layers.12.mlp.gate_proj.weight": "model-00004-of-00015.safetensors",
|
47 |
+
"model.layers.12.mlp.up_proj.weight": "model-00004-of-00015.safetensors",
|
48 |
+
"model.layers.12.post_attention_layernorm.weight": "model-00004-of-00015.safetensors",
|
49 |
+
"model.layers.12.self_attn.k_proj.weight": "model-00003-of-00015.safetensors",
|
50 |
+
"model.layers.12.self_attn.o_proj.weight": "model-00003-of-00015.safetensors",
|
51 |
+
"model.layers.12.self_attn.q_proj.weight": "model-00003-of-00015.safetensors",
|
52 |
+
"model.layers.12.self_attn.v_proj.weight": "model-00003-of-00015.safetensors",
|
53 |
+
"model.layers.13.input_layernorm.weight": "model-00004-of-00015.safetensors",
|
54 |
+
"model.layers.13.mlp.down_proj.weight": "model-00004-of-00015.safetensors",
|
55 |
+
"model.layers.13.mlp.gate_proj.weight": "model-00004-of-00015.safetensors",
|
56 |
+
"model.layers.13.mlp.up_proj.weight": "model-00004-of-00015.safetensors",
|
57 |
+
"model.layers.13.post_attention_layernorm.weight": "model-00004-of-00015.safetensors",
|
58 |
+
"model.layers.13.self_attn.k_proj.weight": "model-00004-of-00015.safetensors",
|
59 |
+
"model.layers.13.self_attn.o_proj.weight": "model-00004-of-00015.safetensors",
|
60 |
+
"model.layers.13.self_attn.q_proj.weight": "model-00004-of-00015.safetensors",
|
61 |
+
"model.layers.13.self_attn.v_proj.weight": "model-00004-of-00015.safetensors",
|
62 |
+
"model.layers.14.input_layernorm.weight": "model-00004-of-00015.safetensors",
|
63 |
+
"model.layers.14.mlp.down_proj.weight": "model-00004-of-00015.safetensors",
|
64 |
+
"model.layers.14.mlp.gate_proj.weight": "model-00004-of-00015.safetensors",
|
65 |
+
"model.layers.14.mlp.up_proj.weight": "model-00004-of-00015.safetensors",
|
66 |
+
"model.layers.14.post_attention_layernorm.weight": "model-00004-of-00015.safetensors",
|
67 |
+
"model.layers.14.self_attn.k_proj.weight": "model-00004-of-00015.safetensors",
|
68 |
+
"model.layers.14.self_attn.o_proj.weight": "model-00004-of-00015.safetensors",
|
69 |
+
"model.layers.14.self_attn.q_proj.weight": "model-00004-of-00015.safetensors",
|
70 |
+
"model.layers.14.self_attn.v_proj.weight": "model-00004-of-00015.safetensors",
|
71 |
+
"model.layers.15.input_layernorm.weight": "model-00004-of-00015.safetensors",
|
72 |
+
"model.layers.15.mlp.down_proj.weight": "model-00004-of-00015.safetensors",
|
73 |
+
"model.layers.15.mlp.gate_proj.weight": "model-00004-of-00015.safetensors",
|
74 |
+
"model.layers.15.mlp.up_proj.weight": "model-00004-of-00015.safetensors",
|
75 |
+
"model.layers.15.post_attention_layernorm.weight": "model-00004-of-00015.safetensors",
|
76 |
+
"model.layers.15.self_attn.k_proj.weight": "model-00004-of-00015.safetensors",
|
77 |
+
"model.layers.15.self_attn.o_proj.weight": "model-00004-of-00015.safetensors",
|
78 |
+
"model.layers.15.self_attn.q_proj.weight": "model-00004-of-00015.safetensors",
|
79 |
+
"model.layers.15.self_attn.v_proj.weight": "model-00004-of-00015.safetensors",
|
80 |
+
"model.layers.16.input_layernorm.weight": "model-00005-of-00015.safetensors",
|
81 |
+
"model.layers.16.mlp.down_proj.weight": "model-00005-of-00015.safetensors",
|
82 |
+
"model.layers.16.mlp.gate_proj.weight": "model-00004-of-00015.safetensors",
|
83 |
+
"model.layers.16.mlp.up_proj.weight": "model-00005-of-00015.safetensors",
|
84 |
+
"model.layers.16.post_attention_layernorm.weight": "model-00005-of-00015.safetensors",
|
85 |
+
"model.layers.16.self_attn.k_proj.weight": "model-00004-of-00015.safetensors",
|
86 |
+
"model.layers.16.self_attn.o_proj.weight": "model-00004-of-00015.safetensors",
|
87 |
+
"model.layers.16.self_attn.q_proj.weight": "model-00004-of-00015.safetensors",
|
88 |
+
"model.layers.16.self_attn.v_proj.weight": "model-00004-of-00015.safetensors",
|
89 |
+
"model.layers.17.input_layernorm.weight": "model-00005-of-00015.safetensors",
|
90 |
+
"model.layers.17.mlp.down_proj.weight": "model-00005-of-00015.safetensors",
|
91 |
+
"model.layers.17.mlp.gate_proj.weight": "model-00005-of-00015.safetensors",
|
92 |
+
"model.layers.17.mlp.up_proj.weight": "model-00005-of-00015.safetensors",
|
93 |
+
"model.layers.17.post_attention_layernorm.weight": "model-00005-of-00015.safetensors",
|
94 |
+
"model.layers.17.self_attn.k_proj.weight": "model-00005-of-00015.safetensors",
|
95 |
+
"model.layers.17.self_attn.o_proj.weight": "model-00005-of-00015.safetensors",
|
96 |
+
"model.layers.17.self_attn.q_proj.weight": "model-00005-of-00015.safetensors",
|
97 |
+
"model.layers.17.self_attn.v_proj.weight": "model-00005-of-00015.safetensors",
|
98 |
+
"model.layers.18.input_layernorm.weight": "model-00005-of-00015.safetensors",
|
99 |
+
"model.layers.18.mlp.down_proj.weight": "model-00005-of-00015.safetensors",
|
100 |
+
"model.layers.18.mlp.gate_proj.weight": "model-00005-of-00015.safetensors",
|
101 |
+
"model.layers.18.mlp.up_proj.weight": "model-00005-of-00015.safetensors",
|
102 |
+
"model.layers.18.post_attention_layernorm.weight": "model-00005-of-00015.safetensors",
|
103 |
+
"model.layers.18.self_attn.k_proj.weight": "model-00005-of-00015.safetensors",
|
104 |
+
"model.layers.18.self_attn.o_proj.weight": "model-00005-of-00015.safetensors",
|
105 |
+
"model.layers.18.self_attn.q_proj.weight": "model-00005-of-00015.safetensors",
|
106 |
+
"model.layers.18.self_attn.v_proj.weight": "model-00005-of-00015.safetensors",
|
107 |
+
"model.layers.19.input_layernorm.weight": "model-00005-of-00015.safetensors",
|
108 |
+
"model.layers.19.mlp.down_proj.weight": "model-00005-of-00015.safetensors",
|
109 |
+
"model.layers.19.mlp.gate_proj.weight": "model-00005-of-00015.safetensors",
|
110 |
+
"model.layers.19.mlp.up_proj.weight": "model-00005-of-00015.safetensors",
|
111 |
+
"model.layers.19.post_attention_layernorm.weight": "model-00005-of-00015.safetensors",
|
112 |
+
"model.layers.19.self_attn.k_proj.weight": "model-00005-of-00015.safetensors",
|
113 |
+
"model.layers.19.self_attn.o_proj.weight": "model-00005-of-00015.safetensors",
|
114 |
+
"model.layers.19.self_attn.q_proj.weight": "model-00005-of-00015.safetensors",
|
115 |
+
"model.layers.19.self_attn.v_proj.weight": "model-00005-of-00015.safetensors",
|
116 |
+
"model.layers.2.input_layernorm.weight": "model-00001-of-00015.safetensors",
|
117 |
+
"model.layers.2.mlp.down_proj.weight": "model-00001-of-00015.safetensors",
|
118 |
+
"model.layers.2.mlp.gate_proj.weight": "model-00001-of-00015.safetensors",
|
119 |
+
"model.layers.2.mlp.up_proj.weight": "model-00001-of-00015.safetensors",
|
120 |
+
"model.layers.2.post_attention_layernorm.weight": "model-00001-of-00015.safetensors",
|
121 |
+
"model.layers.2.self_attn.k_proj.weight": "model-00001-of-00015.safetensors",
|
122 |
+
"model.layers.2.self_attn.o_proj.weight": "model-00001-of-00015.safetensors",
|
123 |
+
"model.layers.2.self_attn.q_proj.weight": "model-00001-of-00015.safetensors",
|
124 |
+
"model.layers.2.self_attn.v_proj.weight": "model-00001-of-00015.safetensors",
|
125 |
+
"model.layers.20.input_layernorm.weight": "model-00006-of-00015.safetensors",
|
126 |
+
"model.layers.20.mlp.down_proj.weight": "model-00006-of-00015.safetensors",
|
127 |
+
"model.layers.20.mlp.gate_proj.weight": "model-00005-of-00015.safetensors",
|
128 |
+
"model.layers.20.mlp.up_proj.weight": "model-00005-of-00015.safetensors",
|
129 |
+
"model.layers.20.post_attention_layernorm.weight": "model-00006-of-00015.safetensors",
|
130 |
+
"model.layers.20.self_attn.k_proj.weight": "model-00005-of-00015.safetensors",
|
131 |
+
"model.layers.20.self_attn.o_proj.weight": "model-00005-of-00015.safetensors",
|
132 |
+
"model.layers.20.self_attn.q_proj.weight": "model-00005-of-00015.safetensors",
|
133 |
+
"model.layers.20.self_attn.v_proj.weight": "model-00005-of-00015.safetensors",
|
134 |
+
"model.layers.21.input_layernorm.weight": "model-00006-of-00015.safetensors",
|
135 |
+
"model.layers.21.mlp.down_proj.weight": "model-00006-of-00015.safetensors",
|
136 |
+
"model.layers.21.mlp.gate_proj.weight": "model-00006-of-00015.safetensors",
|
137 |
+
"model.layers.21.mlp.up_proj.weight": "model-00006-of-00015.safetensors",
|
138 |
+
"model.layers.21.post_attention_layernorm.weight": "model-00006-of-00015.safetensors",
|
139 |
+
"model.layers.21.self_attn.k_proj.weight": "model-00006-of-00015.safetensors",
|
140 |
+
"model.layers.21.self_attn.o_proj.weight": "model-00006-of-00015.safetensors",
|
141 |
+
"model.layers.21.self_attn.q_proj.weight": "model-00006-of-00015.safetensors",
|
142 |
+
"model.layers.21.self_attn.v_proj.weight": "model-00006-of-00015.safetensors",
|
143 |
+
"model.layers.22.input_layernorm.weight": "model-00006-of-00015.safetensors",
|
144 |
+
"model.layers.22.mlp.down_proj.weight": "model-00006-of-00015.safetensors",
|
145 |
+
"model.layers.22.mlp.gate_proj.weight": "model-00006-of-00015.safetensors",
|
146 |
+
"model.layers.22.mlp.up_proj.weight": "model-00006-of-00015.safetensors",
|
147 |
+
"model.layers.22.post_attention_layernorm.weight": "model-00006-of-00015.safetensors",
|
148 |
+
"model.layers.22.self_attn.k_proj.weight": "model-00006-of-00015.safetensors",
|
149 |
+
"model.layers.22.self_attn.o_proj.weight": "model-00006-of-00015.safetensors",
|
150 |
+
"model.layers.22.self_attn.q_proj.weight": "model-00006-of-00015.safetensors",
|
151 |
+
"model.layers.22.self_attn.v_proj.weight": "model-00006-of-00015.safetensors",
|
152 |
+
"model.layers.23.input_layernorm.weight": "model-00006-of-00015.safetensors",
|
153 |
+
"model.layers.23.mlp.down_proj.weight": "model-00006-of-00015.safetensors",
|
154 |
+
"model.layers.23.mlp.gate_proj.weight": "model-00006-of-00015.safetensors",
|
155 |
+
"model.layers.23.mlp.up_proj.weight": "model-00006-of-00015.safetensors",
|
156 |
+
"model.layers.23.post_attention_layernorm.weight": "model-00006-of-00015.safetensors",
|
157 |
+
"model.layers.23.self_attn.k_proj.weight": "model-00006-of-00015.safetensors",
|
158 |
+
"model.layers.23.self_attn.o_proj.weight": "model-00006-of-00015.safetensors",
|
159 |
+
"model.layers.23.self_attn.q_proj.weight": "model-00006-of-00015.safetensors",
|
160 |
+
"model.layers.23.self_attn.v_proj.weight": "model-00006-of-00015.safetensors",
|
161 |
+
"model.layers.24.input_layernorm.weight": "model-00006-of-00015.safetensors",
|
162 |
+
"model.layers.24.mlp.down_proj.weight": "model-00006-of-00015.safetensors",
|
163 |
+
"model.layers.24.mlp.gate_proj.weight": "model-00006-of-00015.safetensors",
|
164 |
+
"model.layers.24.mlp.up_proj.weight": "model-00006-of-00015.safetensors",
|
165 |
+
"model.layers.24.post_attention_layernorm.weight": "model-00006-of-00015.safetensors",
|
166 |
+
"model.layers.24.self_attn.k_proj.weight": "model-00006-of-00015.safetensors",
|
167 |
+
"model.layers.24.self_attn.o_proj.weight": "model-00006-of-00015.safetensors",
|
168 |
+
"model.layers.24.self_attn.q_proj.weight": "model-00006-of-00015.safetensors",
|
169 |
+
"model.layers.24.self_attn.v_proj.weight": "model-00006-of-00015.safetensors",
|
170 |
+
"model.layers.25.input_layernorm.weight": "model-00007-of-00015.safetensors",
|
171 |
+
"model.layers.25.mlp.down_proj.weight": "model-00007-of-00015.safetensors",
|
172 |
+
"model.layers.25.mlp.gate_proj.weight": "model-00007-of-00015.safetensors",
|
173 |
+
"model.layers.25.mlp.up_proj.weight": "model-00007-of-00015.safetensors",
|
174 |
+
"model.layers.25.post_attention_layernorm.weight": "model-00007-of-00015.safetensors",
|
175 |
+
"model.layers.25.self_attn.k_proj.weight": "model-00006-of-00015.safetensors",
|
176 |
+
"model.layers.25.self_attn.o_proj.weight": "model-00006-of-00015.safetensors",
|
177 |
+
"model.layers.25.self_attn.q_proj.weight": "model-00006-of-00015.safetensors",
|
178 |
+
"model.layers.25.self_attn.v_proj.weight": "model-00006-of-00015.safetensors",
|
179 |
+
"model.layers.26.input_layernorm.weight": "model-00007-of-00015.safetensors",
|
180 |
+
"model.layers.26.mlp.down_proj.weight": "model-00007-of-00015.safetensors",
|
181 |
+
"model.layers.26.mlp.gate_proj.weight": "model-00007-of-00015.safetensors",
|
182 |
+
"model.layers.26.mlp.up_proj.weight": "model-00007-of-00015.safetensors",
|
183 |
+
"model.layers.26.post_attention_layernorm.weight": "model-00007-of-00015.safetensors",
|
184 |
+
"model.layers.26.self_attn.k_proj.weight": "model-00007-of-00015.safetensors",
|
185 |
+
"model.layers.26.self_attn.o_proj.weight": "model-00007-of-00015.safetensors",
|
186 |
+
"model.layers.26.self_attn.q_proj.weight": "model-00007-of-00015.safetensors",
|
187 |
+
"model.layers.26.self_attn.v_proj.weight": "model-00007-of-00015.safetensors",
|
188 |
+
"model.layers.27.input_layernorm.weight": "model-00007-of-00015.safetensors",
|
189 |
+
"model.layers.27.mlp.down_proj.weight": "model-00007-of-00015.safetensors",
|
190 |
+
"model.layers.27.mlp.gate_proj.weight": "model-00007-of-00015.safetensors",
|
191 |
+
"model.layers.27.mlp.up_proj.weight": "model-00007-of-00015.safetensors",
|
192 |
+
"model.layers.27.post_attention_layernorm.weight": "model-00007-of-00015.safetensors",
|
193 |
+
"model.layers.27.self_attn.k_proj.weight": "model-00007-of-00015.safetensors",
|
194 |
+
"model.layers.27.self_attn.o_proj.weight": "model-00007-of-00015.safetensors",
|
195 |
+
"model.layers.27.self_attn.q_proj.weight": "model-00007-of-00015.safetensors",
|
196 |
+
"model.layers.27.self_attn.v_proj.weight": "model-00007-of-00015.safetensors",
|
197 |
+
"model.layers.28.input_layernorm.weight": "model-00007-of-00015.safetensors",
|
198 |
+
"model.layers.28.mlp.down_proj.weight": "model-00007-of-00015.safetensors",
|
199 |
+
"model.layers.28.mlp.gate_proj.weight": "model-00007-of-00015.safetensors",
|
200 |
+
"model.layers.28.mlp.up_proj.weight": "model-00007-of-00015.safetensors",
|
201 |
+
"model.layers.28.post_attention_layernorm.weight": "model-00007-of-00015.safetensors",
|
202 |
+
"model.layers.28.self_attn.k_proj.weight": "model-00007-of-00015.safetensors",
|
203 |
+
"model.layers.28.self_attn.o_proj.weight": "model-00007-of-00015.safetensors",
|
204 |
+
"model.layers.28.self_attn.q_proj.weight": "model-00007-of-00015.safetensors",
|
205 |
+
"model.layers.28.self_attn.v_proj.weight": "model-00007-of-00015.safetensors",
|
206 |
+
"model.layers.29.input_layernorm.weight": "model-00008-of-00015.safetensors",
|
207 |
+
"model.layers.29.mlp.down_proj.weight": "model-00008-of-00015.safetensors",
|
208 |
+
"model.layers.29.mlp.gate_proj.weight": "model-00007-of-00015.safetensors",
|
209 |
+
"model.layers.29.mlp.up_proj.weight": "model-00008-of-00015.safetensors",
|
210 |
+
"model.layers.29.post_attention_layernorm.weight": "model-00008-of-00015.safetensors",
|
211 |
+
"model.layers.29.self_attn.k_proj.weight": "model-00007-of-00015.safetensors",
|
212 |
+
"model.layers.29.self_attn.o_proj.weight": "model-00007-of-00015.safetensors",
|
213 |
+
"model.layers.29.self_attn.q_proj.weight": "model-00007-of-00015.safetensors",
|
214 |
+
"model.layers.29.self_attn.v_proj.weight": "model-00007-of-00015.safetensors",
|
215 |
+
"model.layers.3.input_layernorm.weight": "model-00002-of-00015.safetensors",
|
216 |
+
"model.layers.3.mlp.down_proj.weight": "model-00002-of-00015.safetensors",
|
217 |
+
"model.layers.3.mlp.gate_proj.weight": "model-00001-of-00015.safetensors",
|
218 |
+
"model.layers.3.mlp.up_proj.weight": "model-00002-of-00015.safetensors",
|
219 |
+
"model.layers.3.post_attention_layernorm.weight": "model-00002-of-00015.safetensors",
|
220 |
+
"model.layers.3.self_attn.k_proj.weight": "model-00001-of-00015.safetensors",
|
221 |
+
"model.layers.3.self_attn.o_proj.weight": "model-00001-of-00015.safetensors",
|
222 |
+
"model.layers.3.self_attn.q_proj.weight": "model-00001-of-00015.safetensors",
|
223 |
+
"model.layers.3.self_attn.v_proj.weight": "model-00001-of-00015.safetensors",
|
224 |
+
"model.layers.30.input_layernorm.weight": "model-00008-of-00015.safetensors",
|
225 |
+
"model.layers.30.mlp.down_proj.weight": "model-00008-of-00015.safetensors",
|
226 |
+
"model.layers.30.mlp.gate_proj.weight": "model-00008-of-00015.safetensors",
|
227 |
+
"model.layers.30.mlp.up_proj.weight": "model-00008-of-00015.safetensors",
|
228 |
+
"model.layers.30.post_attention_layernorm.weight": "model-00008-of-00015.safetensors",
|
229 |
+
"model.layers.30.self_attn.k_proj.weight": "model-00008-of-00015.safetensors",
|
230 |
+
"model.layers.30.self_attn.o_proj.weight": "model-00008-of-00015.safetensors",
|
231 |
+
"model.layers.30.self_attn.q_proj.weight": "model-00008-of-00015.safetensors",
|
232 |
+
"model.layers.30.self_attn.v_proj.weight": "model-00008-of-00015.safetensors",
|
233 |
+
"model.layers.31.input_layernorm.weight": "model-00008-of-00015.safetensors",
|
234 |
+
"model.layers.31.mlp.down_proj.weight": "model-00008-of-00015.safetensors",
|
235 |
+
"model.layers.31.mlp.gate_proj.weight": "model-00008-of-00015.safetensors",
|
236 |
+
"model.layers.31.mlp.up_proj.weight": "model-00008-of-00015.safetensors",
|
237 |
+
"model.layers.31.post_attention_layernorm.weight": "model-00008-of-00015.safetensors",
|
238 |
+
"model.layers.31.self_attn.k_proj.weight": "model-00008-of-00015.safetensors",
|
239 |
+
"model.layers.31.self_attn.o_proj.weight": "model-00008-of-00015.safetensors",
|
240 |
+
"model.layers.31.self_attn.q_proj.weight": "model-00008-of-00015.safetensors",
|
241 |
+
"model.layers.31.self_attn.v_proj.weight": "model-00008-of-00015.safetensors",
|
242 |
+
"model.layers.32.input_layernorm.weight": "model-00008-of-00015.safetensors",
|
243 |
+
"model.layers.32.mlp.down_proj.weight": "model-00008-of-00015.safetensors",
|
244 |
+
"model.layers.32.mlp.gate_proj.weight": "model-00008-of-00015.safetensors",
|
245 |
+
"model.layers.32.mlp.up_proj.weight": "model-00008-of-00015.safetensors",
|
246 |
+
"model.layers.32.post_attention_layernorm.weight": "model-00008-of-00015.safetensors",
|
247 |
+
"model.layers.32.self_attn.k_proj.weight": "model-00008-of-00015.safetensors",
|
248 |
+
"model.layers.32.self_attn.o_proj.weight": "model-00008-of-00015.safetensors",
|
249 |
+
"model.layers.32.self_attn.q_proj.weight": "model-00008-of-00015.safetensors",
|
250 |
+
"model.layers.32.self_attn.v_proj.weight": "model-00008-of-00015.safetensors",
|
251 |
+
"model.layers.33.input_layernorm.weight": "model-00009-of-00015.safetensors",
|
252 |
+
"model.layers.33.mlp.down_proj.weight": "model-00009-of-00015.safetensors",
|
253 |
+
"model.layers.33.mlp.gate_proj.weight": "model-00008-of-00015.safetensors",
|
254 |
+
"model.layers.33.mlp.up_proj.weight": "model-00008-of-00015.safetensors",
|
255 |
+
"model.layers.33.post_attention_layernorm.weight": "model-00009-of-00015.safetensors",
|
256 |
+
"model.layers.33.self_attn.k_proj.weight": "model-00008-of-00015.safetensors",
|
257 |
+
"model.layers.33.self_attn.o_proj.weight": "model-00008-of-00015.safetensors",
|
258 |
+
"model.layers.33.self_attn.q_proj.weight": "model-00008-of-00015.safetensors",
|
259 |
+
"model.layers.33.self_attn.v_proj.weight": "model-00008-of-00015.safetensors",
|
260 |
+
"model.layers.34.input_layernorm.weight": "model-00009-of-00015.safetensors",
|
261 |
+
"model.layers.34.mlp.down_proj.weight": "model-00009-of-00015.safetensors",
|
262 |
+
"model.layers.34.mlp.gate_proj.weight": "model-00009-of-00015.safetensors",
|
263 |
+
"model.layers.34.mlp.up_proj.weight": "model-00009-of-00015.safetensors",
|
264 |
+
"model.layers.34.post_attention_layernorm.weight": "model-00009-of-00015.safetensors",
|
265 |
+
"model.layers.34.self_attn.k_proj.weight": "model-00009-of-00015.safetensors",
|
266 |
+
"model.layers.34.self_attn.o_proj.weight": "model-00009-of-00015.safetensors",
|
267 |
+
"model.layers.34.self_attn.q_proj.weight": "model-00009-of-00015.safetensors",
|
268 |
+
"model.layers.34.self_attn.v_proj.weight": "model-00009-of-00015.safetensors",
|
269 |
+
"model.layers.35.input_layernorm.weight": "model-00009-of-00015.safetensors",
|
270 |
+
"model.layers.35.mlp.down_proj.weight": "model-00009-of-00015.safetensors",
|
271 |
+
"model.layers.35.mlp.gate_proj.weight": "model-00009-of-00015.safetensors",
|
272 |
+
"model.layers.35.mlp.up_proj.weight": "model-00009-of-00015.safetensors",
|
273 |
+
"model.layers.35.post_attention_layernorm.weight": "model-00009-of-00015.safetensors",
|
274 |
+
"model.layers.35.self_attn.k_proj.weight": "model-00009-of-00015.safetensors",
|
275 |
+
"model.layers.35.self_attn.o_proj.weight": "model-00009-of-00015.safetensors",
|
276 |
+
"model.layers.35.self_attn.q_proj.weight": "model-00009-of-00015.safetensors",
|
277 |
+
"model.layers.35.self_attn.v_proj.weight": "model-00009-of-00015.safetensors",
|
278 |
+
"model.layers.36.input_layernorm.weight": "model-00009-of-00015.safetensors",
|
279 |
+
"model.layers.36.mlp.down_proj.weight": "model-00009-of-00015.safetensors",
|
280 |
+
"model.layers.36.mlp.gate_proj.weight": "model-00009-of-00015.safetensors",
|
281 |
+
"model.layers.36.mlp.up_proj.weight": "model-00009-of-00015.safetensors",
|
282 |
+
"model.layers.36.post_attention_layernorm.weight": "model-00009-of-00015.safetensors",
|
283 |
+
"model.layers.36.self_attn.k_proj.weight": "model-00009-of-00015.safetensors",
|
284 |
+
"model.layers.36.self_attn.o_proj.weight": "model-00009-of-00015.safetensors",
|
285 |
+
"model.layers.36.self_attn.q_proj.weight": "model-00009-of-00015.safetensors",
|
286 |
+
"model.layers.36.self_attn.v_proj.weight": "model-00009-of-00015.safetensors",
|
287 |
+
"model.layers.37.input_layernorm.weight": "model-00009-of-00015.safetensors",
|
288 |
+
"model.layers.37.mlp.down_proj.weight": "model-00009-of-00015.safetensors",
|
289 |
+
"model.layers.37.mlp.gate_proj.weight": "model-00009-of-00015.safetensors",
|
290 |
+
"model.layers.37.mlp.up_proj.weight": "model-00009-of-00015.safetensors",
|
291 |
+
"model.layers.37.post_attention_layernorm.weight": "model-00009-of-00015.safetensors",
|
292 |
+
"model.layers.37.self_attn.k_proj.weight": "model-00009-of-00015.safetensors",
|
293 |
+
"model.layers.37.self_attn.o_proj.weight": "model-00009-of-00015.safetensors",
|
294 |
+
"model.layers.37.self_attn.q_proj.weight": "model-00009-of-00015.safetensors",
|
295 |
+
"model.layers.37.self_attn.v_proj.weight": "model-00009-of-00015.safetensors",
|
296 |
+
"model.layers.38.input_layernorm.weight": "model-00010-of-00015.safetensors",
|
297 |
+
"model.layers.38.mlp.down_proj.weight": "model-00010-of-00015.safetensors",
|
298 |
+
"model.layers.38.mlp.gate_proj.weight": "model-00010-of-00015.safetensors",
|
299 |
+
"model.layers.38.mlp.up_proj.weight": "model-00010-of-00015.safetensors",
|
300 |
+
"model.layers.38.post_attention_layernorm.weight": "model-00010-of-00015.safetensors",
|
301 |
+
"model.layers.38.self_attn.k_proj.weight": "model-00009-of-00015.safetensors",
|
302 |
+
"model.layers.38.self_attn.o_proj.weight": "model-00009-of-00015.safetensors",
|
303 |
+
"model.layers.38.self_attn.q_proj.weight": "model-00009-of-00015.safetensors",
|
304 |
+
"model.layers.38.self_attn.v_proj.weight": "model-00009-of-00015.safetensors",
|
305 |
+
"model.layers.39.input_layernorm.weight": "model-00010-of-00015.safetensors",
|
306 |
+
"model.layers.39.mlp.down_proj.weight": "model-00010-of-00015.safetensors",
|
307 |
+
"model.layers.39.mlp.gate_proj.weight": "model-00010-of-00015.safetensors",
|
308 |
+
"model.layers.39.mlp.up_proj.weight": "model-00010-of-00015.safetensors",
|
309 |
+
"model.layers.39.post_attention_layernorm.weight": "model-00010-of-00015.safetensors",
|
310 |
+
"model.layers.39.self_attn.k_proj.weight": "model-00010-of-00015.safetensors",
|
311 |
+
"model.layers.39.self_attn.o_proj.weight": "model-00010-of-00015.safetensors",
|
312 |
+
"model.layers.39.self_attn.q_proj.weight": "model-00010-of-00015.safetensors",
|
313 |
+
"model.layers.39.self_attn.v_proj.weight": "model-00010-of-00015.safetensors",
|
314 |
+
"model.layers.4.input_layernorm.weight": "model-00002-of-00015.safetensors",
|
315 |
+
"model.layers.4.mlp.down_proj.weight": "model-00002-of-00015.safetensors",
|
316 |
+
"model.layers.4.mlp.gate_proj.weight": "model-00002-of-00015.safetensors",
|
317 |
+
"model.layers.4.mlp.up_proj.weight": "model-00002-of-00015.safetensors",
|
318 |
+
"model.layers.4.post_attention_layernorm.weight": "model-00002-of-00015.safetensors",
|
319 |
+
"model.layers.4.self_attn.k_proj.weight": "model-00002-of-00015.safetensors",
|
320 |
+
"model.layers.4.self_attn.o_proj.weight": "model-00002-of-00015.safetensors",
|
321 |
+
"model.layers.4.self_attn.q_proj.weight": "model-00002-of-00015.safetensors",
|
322 |
+
"model.layers.4.self_attn.v_proj.weight": "model-00002-of-00015.safetensors",
|
323 |
+
"model.layers.40.input_layernorm.weight": "model-00010-of-00015.safetensors",
|
324 |
+
"model.layers.40.mlp.down_proj.weight": "model-00010-of-00015.safetensors",
|
325 |
+
"model.layers.40.mlp.gate_proj.weight": "model-00010-of-00015.safetensors",
|
326 |
+
"model.layers.40.mlp.up_proj.weight": "model-00010-of-00015.safetensors",
|
327 |
+
"model.layers.40.post_attention_layernorm.weight": "model-00010-of-00015.safetensors",
|
328 |
+
"model.layers.40.self_attn.k_proj.weight": "model-00010-of-00015.safetensors",
|
329 |
+
"model.layers.40.self_attn.o_proj.weight": "model-00010-of-00015.safetensors",
|
330 |
+
"model.layers.40.self_attn.q_proj.weight": "model-00010-of-00015.safetensors",
|
331 |
+
"model.layers.40.self_attn.v_proj.weight": "model-00010-of-00015.safetensors",
|
332 |
+
"model.layers.41.input_layernorm.weight": "model-00010-of-00015.safetensors",
|
333 |
+
"model.layers.41.mlp.down_proj.weight": "model-00010-of-00015.safetensors",
|
334 |
+
"model.layers.41.mlp.gate_proj.weight": "model-00010-of-00015.safetensors",
|
335 |
+
"model.layers.41.mlp.up_proj.weight": "model-00010-of-00015.safetensors",
|
336 |
+
"model.layers.41.post_attention_layernorm.weight": "model-00010-of-00015.safetensors",
|
337 |
+
"model.layers.41.self_attn.k_proj.weight": "model-00010-of-00015.safetensors",
|
338 |
+
"model.layers.41.self_attn.o_proj.weight": "model-00010-of-00015.safetensors",
|
339 |
+
"model.layers.41.self_attn.q_proj.weight": "model-00010-of-00015.safetensors",
|
340 |
+
"model.layers.41.self_attn.v_proj.weight": "model-00010-of-00015.safetensors",
|
341 |
+
"model.layers.42.input_layernorm.weight": "model-00011-of-00015.safetensors",
|
342 |
+
"model.layers.42.mlp.down_proj.weight": "model-00011-of-00015.safetensors",
|
343 |
+
"model.layers.42.mlp.gate_proj.weight": "model-00010-of-00015.safetensors",
|
344 |
+
"model.layers.42.mlp.up_proj.weight": "model-00011-of-00015.safetensors",
|
345 |
+
"model.layers.42.post_attention_layernorm.weight": "model-00011-of-00015.safetensors",
|
346 |
+
"model.layers.42.self_attn.k_proj.weight": "model-00010-of-00015.safetensors",
|
347 |
+
"model.layers.42.self_attn.o_proj.weight": "model-00010-of-00015.safetensors",
|
348 |
+
"model.layers.42.self_attn.q_proj.weight": "model-00010-of-00015.safetensors",
|
349 |
+
"model.layers.42.self_attn.v_proj.weight": "model-00010-of-00015.safetensors",
|
350 |
+
"model.layers.43.input_layernorm.weight": "model-00011-of-00015.safetensors",
|
351 |
+
"model.layers.43.mlp.down_proj.weight": "model-00011-of-00015.safetensors",
|
352 |
+
"model.layers.43.mlp.gate_proj.weight": "model-00011-of-00015.safetensors",
|
353 |
+
"model.layers.43.mlp.up_proj.weight": "model-00011-of-00015.safetensors",
|
354 |
+
"model.layers.43.post_attention_layernorm.weight": "model-00011-of-00015.safetensors",
|
355 |
+
"model.layers.43.self_attn.k_proj.weight": "model-00011-of-00015.safetensors",
|
356 |
+
"model.layers.43.self_attn.o_proj.weight": "model-00011-of-00015.safetensors",
|
357 |
+
"model.layers.43.self_attn.q_proj.weight": "model-00011-of-00015.safetensors",
|
358 |
+
"model.layers.43.self_attn.v_proj.weight": "model-00011-of-00015.safetensors",
|
359 |
+
"model.layers.44.input_layernorm.weight": "model-00011-of-00015.safetensors",
|
360 |
+
"model.layers.44.mlp.down_proj.weight": "model-00011-of-00015.safetensors",
|
361 |
+
"model.layers.44.mlp.gate_proj.weight": "model-00011-of-00015.safetensors",
|
362 |
+
"model.layers.44.mlp.up_proj.weight": "model-00011-of-00015.safetensors",
|
363 |
+
"model.layers.44.post_attention_layernorm.weight": "model-00011-of-00015.safetensors",
|
364 |
+
"model.layers.44.self_attn.k_proj.weight": "model-00011-of-00015.safetensors",
|
365 |
+
"model.layers.44.self_attn.o_proj.weight": "model-00011-of-00015.safetensors",
|
366 |
+
"model.layers.44.self_attn.q_proj.weight": "model-00011-of-00015.safetensors",
|
367 |
+
"model.layers.44.self_attn.v_proj.weight": "model-00011-of-00015.safetensors",
|
368 |
+
"model.layers.45.input_layernorm.weight": "model-00011-of-00015.safetensors",
|
369 |
+
"model.layers.45.mlp.down_proj.weight": "model-00011-of-00015.safetensors",
|
370 |
+
"model.layers.45.mlp.gate_proj.weight": "model-00011-of-00015.safetensors",
|
371 |
+
"model.layers.45.mlp.up_proj.weight": "model-00011-of-00015.safetensors",
|
372 |
+
"model.layers.45.post_attention_layernorm.weight": "model-00011-of-00015.safetensors",
|
373 |
+
"model.layers.45.self_attn.k_proj.weight": "model-00011-of-00015.safetensors",
|
374 |
+
"model.layers.45.self_attn.o_proj.weight": "model-00011-of-00015.safetensors",
|
375 |
+
"model.layers.45.self_attn.q_proj.weight": "model-00011-of-00015.safetensors",
|
376 |
+
"model.layers.45.self_attn.v_proj.weight": "model-00011-of-00015.safetensors",
|
377 |
+
"model.layers.46.input_layernorm.weight": "model-00012-of-00015.safetensors",
|
378 |
+
"model.layers.46.mlp.down_proj.weight": "model-00012-of-00015.safetensors",
|
379 |
+
"model.layers.46.mlp.gate_proj.weight": "model-00011-of-00015.safetensors",
|
380 |
+
"model.layers.46.mlp.up_proj.weight": "model-00011-of-00015.safetensors",
|
381 |
+
"model.layers.46.post_attention_layernorm.weight": "model-00012-of-00015.safetensors",
|
382 |
+
"model.layers.46.self_attn.k_proj.weight": "model-00011-of-00015.safetensors",
|
383 |
+
"model.layers.46.self_attn.o_proj.weight": "model-00011-of-00015.safetensors",
|
384 |
+
"model.layers.46.self_attn.q_proj.weight": "model-00011-of-00015.safetensors",
|
385 |
+
"model.layers.46.self_attn.v_proj.weight": "model-00011-of-00015.safetensors",
|
386 |
+
"model.layers.47.input_layernorm.weight": "model-00012-of-00015.safetensors",
|
387 |
+
"model.layers.47.mlp.down_proj.weight": "model-00012-of-00015.safetensors",
|
388 |
+
"model.layers.47.mlp.gate_proj.weight": "model-00012-of-00015.safetensors",
|
389 |
+
"model.layers.47.mlp.up_proj.weight": "model-00012-of-00015.safetensors",
|
390 |
+
"model.layers.47.post_attention_layernorm.weight": "model-00012-of-00015.safetensors",
|
391 |
+
"model.layers.47.self_attn.k_proj.weight": "model-00012-of-00015.safetensors",
|
392 |
+
"model.layers.47.self_attn.o_proj.weight": "model-00012-of-00015.safetensors",
|
393 |
+
"model.layers.47.self_attn.q_proj.weight": "model-00012-of-00015.safetensors",
|
394 |
+
"model.layers.47.self_attn.v_proj.weight": "model-00012-of-00015.safetensors",
|
395 |
+
"model.layers.48.input_layernorm.weight": "model-00012-of-00015.safetensors",
|
396 |
+
"model.layers.48.mlp.down_proj.weight": "model-00012-of-00015.safetensors",
|
397 |
+
"model.layers.48.mlp.gate_proj.weight": "model-00012-of-00015.safetensors",
|
398 |
+
"model.layers.48.mlp.up_proj.weight": "model-00012-of-00015.safetensors",
|
399 |
+
"model.layers.48.post_attention_layernorm.weight": "model-00012-of-00015.safetensors",
|
400 |
+
"model.layers.48.self_attn.k_proj.weight": "model-00012-of-00015.safetensors",
|
401 |
+
"model.layers.48.self_attn.o_proj.weight": "model-00012-of-00015.safetensors",
|
402 |
+
"model.layers.48.self_attn.q_proj.weight": "model-00012-of-00015.safetensors",
|
403 |
+
"model.layers.48.self_attn.v_proj.weight": "model-00012-of-00015.safetensors",
|
404 |
+
"model.layers.49.input_layernorm.weight": "model-00012-of-00015.safetensors",
|
405 |
+
"model.layers.49.mlp.down_proj.weight": "model-00012-of-00015.safetensors",
|
406 |
+
"model.layers.49.mlp.gate_proj.weight": "model-00012-of-00015.safetensors",
|
407 |
+
"model.layers.49.mlp.up_proj.weight": "model-00012-of-00015.safetensors",
|
408 |
+
"model.layers.49.post_attention_layernorm.weight": "model-00012-of-00015.safetensors",
|
409 |
+
"model.layers.49.self_attn.k_proj.weight": "model-00012-of-00015.safetensors",
|
410 |
+
"model.layers.49.self_attn.o_proj.weight": "model-00012-of-00015.safetensors",
|
411 |
+
"model.layers.49.self_attn.q_proj.weight": "model-00012-of-00015.safetensors",
|
412 |
+
"model.layers.49.self_attn.v_proj.weight": "model-00012-of-00015.safetensors",
|
413 |
+
"model.layers.5.input_layernorm.weight": "model-00002-of-00015.safetensors",
|
414 |
+
"model.layers.5.mlp.down_proj.weight": "model-00002-of-00015.safetensors",
|
415 |
+
"model.layers.5.mlp.gate_proj.weight": "model-00002-of-00015.safetensors",
|
416 |
+
"model.layers.5.mlp.up_proj.weight": "model-00002-of-00015.safetensors",
|
417 |
+
"model.layers.5.post_attention_layernorm.weight": "model-00002-of-00015.safetensors",
|
418 |
+
"model.layers.5.self_attn.k_proj.weight": "model-00002-of-00015.safetensors",
|
419 |
+
"model.layers.5.self_attn.o_proj.weight": "model-00002-of-00015.safetensors",
|
420 |
+
"model.layers.5.self_attn.q_proj.weight": "model-00002-of-00015.safetensors",
|
421 |
+
"model.layers.5.self_attn.v_proj.weight": "model-00002-of-00015.safetensors",
|
422 |
+
"model.layers.50.input_layernorm.weight": "model-00012-of-00015.safetensors",
|
423 |
+
"model.layers.50.mlp.down_proj.weight": "model-00012-of-00015.safetensors",
|
424 |
+
"model.layers.50.mlp.gate_proj.weight": "model-00012-of-00015.safetensors",
|
425 |
+
"model.layers.50.mlp.up_proj.weight": "model-00012-of-00015.safetensors",
|
426 |
+
"model.layers.50.post_attention_layernorm.weight": "model-00012-of-00015.safetensors",
|
427 |
+
"model.layers.50.self_attn.k_proj.weight": "model-00012-of-00015.safetensors",
|
428 |
+
"model.layers.50.self_attn.o_proj.weight": "model-00012-of-00015.safetensors",
|
429 |
+
"model.layers.50.self_attn.q_proj.weight": "model-00012-of-00015.safetensors",
|
430 |
+
"model.layers.50.self_attn.v_proj.weight": "model-00012-of-00015.safetensors",
|
431 |
+
"model.layers.51.input_layernorm.weight": "model-00013-of-00015.safetensors",
|
432 |
+
"model.layers.51.mlp.down_proj.weight": "model-00013-of-00015.safetensors",
|
433 |
+
"model.layers.51.mlp.gate_proj.weight": "model-00013-of-00015.safetensors",
|
434 |
+
"model.layers.51.mlp.up_proj.weight": "model-00013-of-00015.safetensors",
|
435 |
+
"model.layers.51.post_attention_layernorm.weight": "model-00013-of-00015.safetensors",
|
436 |
+
"model.layers.51.self_attn.k_proj.weight": "model-00012-of-00015.safetensors",
|
437 |
+
"model.layers.51.self_attn.o_proj.weight": "model-00012-of-00015.safetensors",
|
438 |
+
"model.layers.51.self_attn.q_proj.weight": "model-00012-of-00015.safetensors",
|
439 |
+
"model.layers.51.self_attn.v_proj.weight": "model-00012-of-00015.safetensors",
|
440 |
+
"model.layers.52.input_layernorm.weight": "model-00013-of-00015.safetensors",
|
441 |
+
"model.layers.52.mlp.down_proj.weight": "model-00013-of-00015.safetensors",
|
442 |
+
"model.layers.52.mlp.gate_proj.weight": "model-00013-of-00015.safetensors",
|
443 |
+
"model.layers.52.mlp.up_proj.weight": "model-00013-of-00015.safetensors",
|
444 |
+
"model.layers.52.post_attention_layernorm.weight": "model-00013-of-00015.safetensors",
|
445 |
+
"model.layers.52.self_attn.k_proj.weight": "model-00013-of-00015.safetensors",
|
446 |
+
"model.layers.52.self_attn.o_proj.weight": "model-00013-of-00015.safetensors",
|
447 |
+
"model.layers.52.self_attn.q_proj.weight": "model-00013-of-00015.safetensors",
|
448 |
+
"model.layers.52.self_attn.v_proj.weight": "model-00013-of-00015.safetensors",
|
449 |
+
"model.layers.53.input_layernorm.weight": "model-00013-of-00015.safetensors",
|
450 |
+
"model.layers.53.mlp.down_proj.weight": "model-00013-of-00015.safetensors",
|
451 |
+
"model.layers.53.mlp.gate_proj.weight": "model-00013-of-00015.safetensors",
|
452 |
+
"model.layers.53.mlp.up_proj.weight": "model-00013-of-00015.safetensors",
|
453 |
+
"model.layers.53.post_attention_layernorm.weight": "model-00013-of-00015.safetensors",
|
454 |
+
"model.layers.53.self_attn.k_proj.weight": "model-00013-of-00015.safetensors",
|
455 |
+
"model.layers.53.self_attn.o_proj.weight": "model-00013-of-00015.safetensors",
|
456 |
+
"model.layers.53.self_attn.q_proj.weight": "model-00013-of-00015.safetensors",
|
457 |
+
"model.layers.53.self_attn.v_proj.weight": "model-00013-of-00015.safetensors",
|
458 |
+
"model.layers.54.input_layernorm.weight": "model-00013-of-00015.safetensors",
|
459 |
+
"model.layers.54.mlp.down_proj.weight": "model-00013-of-00015.safetensors",
|
460 |
+
"model.layers.54.mlp.gate_proj.weight": "model-00013-of-00015.safetensors",
|
461 |
+
"model.layers.54.mlp.up_proj.weight": "model-00013-of-00015.safetensors",
|
462 |
+
"model.layers.54.post_attention_layernorm.weight": "model-00013-of-00015.safetensors",
|
463 |
+
"model.layers.54.self_attn.k_proj.weight": "model-00013-of-00015.safetensors",
|
464 |
+
"model.layers.54.self_attn.o_proj.weight": "model-00013-of-00015.safetensors",
|
465 |
+
"model.layers.54.self_attn.q_proj.weight": "model-00013-of-00015.safetensors",
|
466 |
+
"model.layers.54.self_attn.v_proj.weight": "model-00013-of-00015.safetensors",
|
467 |
+
"model.layers.55.input_layernorm.weight": "model-00014-of-00015.safetensors",
|
468 |
+
"model.layers.55.mlp.down_proj.weight": "model-00014-of-00015.safetensors",
|
469 |
+
"model.layers.55.mlp.gate_proj.weight": "model-00013-of-00015.safetensors",
|
470 |
+
"model.layers.55.mlp.up_proj.weight": "model-00014-of-00015.safetensors",
|
471 |
+
"model.layers.55.post_attention_layernorm.weight": "model-00014-of-00015.safetensors",
|
472 |
+
"model.layers.55.self_attn.k_proj.weight": "model-00013-of-00015.safetensors",
|
473 |
+
"model.layers.55.self_attn.o_proj.weight": "model-00013-of-00015.safetensors",
|
474 |
+
"model.layers.55.self_attn.q_proj.weight": "model-00013-of-00015.safetensors",
|
475 |
+
"model.layers.55.self_attn.v_proj.weight": "model-00013-of-00015.safetensors",
|
476 |
+
"model.layers.56.input_layernorm.weight": "model-00014-of-00015.safetensors",
|
477 |
+
"model.layers.56.mlp.down_proj.weight": "model-00014-of-00015.safetensors",
|
478 |
+
"model.layers.56.mlp.gate_proj.weight": "model-00014-of-00015.safetensors",
|
479 |
+
"model.layers.56.mlp.up_proj.weight": "model-00014-of-00015.safetensors",
|
480 |
+
"model.layers.56.post_attention_layernorm.weight": "model-00014-of-00015.safetensors",
|
481 |
+
"model.layers.56.self_attn.k_proj.weight": "model-00014-of-00015.safetensors",
|
482 |
+
"model.layers.56.self_attn.o_proj.weight": "model-00014-of-00015.safetensors",
|
483 |
+
"model.layers.56.self_attn.q_proj.weight": "model-00014-of-00015.safetensors",
|
484 |
+
"model.layers.56.self_attn.v_proj.weight": "model-00014-of-00015.safetensors",
|
485 |
+
"model.layers.57.input_layernorm.weight": "model-00014-of-00015.safetensors",
|
486 |
+
"model.layers.57.mlp.down_proj.weight": "model-00014-of-00015.safetensors",
|
487 |
+
"model.layers.57.mlp.gate_proj.weight": "model-00014-of-00015.safetensors",
|
488 |
+
"model.layers.57.mlp.up_proj.weight": "model-00014-of-00015.safetensors",
|
489 |
+
"model.layers.57.post_attention_layernorm.weight": "model-00014-of-00015.safetensors",
|
490 |
+
"model.layers.57.self_attn.k_proj.weight": "model-00014-of-00015.safetensors",
|
491 |
+
"model.layers.57.self_attn.o_proj.weight": "model-00014-of-00015.safetensors",
|
492 |
+
"model.layers.57.self_attn.q_proj.weight": "model-00014-of-00015.safetensors",
|
493 |
+
"model.layers.57.self_attn.v_proj.weight": "model-00014-of-00015.safetensors",
|
494 |
+
"model.layers.58.input_layernorm.weight": "model-00014-of-00015.safetensors",
|
495 |
+
"model.layers.58.mlp.down_proj.weight": "model-00014-of-00015.safetensors",
|
496 |
+
"model.layers.58.mlp.gate_proj.weight": "model-00014-of-00015.safetensors",
|
497 |
+
"model.layers.58.mlp.up_proj.weight": "model-00014-of-00015.safetensors",
|
498 |
+
"model.layers.58.post_attention_layernorm.weight": "model-00014-of-00015.safetensors",
|
499 |
+
"model.layers.58.self_attn.k_proj.weight": "model-00014-of-00015.safetensors",
|
500 |
+
"model.layers.58.self_attn.o_proj.weight": "model-00014-of-00015.safetensors",
|
501 |
+
"model.layers.58.self_attn.q_proj.weight": "model-00014-of-00015.safetensors",
|
502 |
+
"model.layers.58.self_attn.v_proj.weight": "model-00014-of-00015.safetensors",
|
503 |
+
"model.layers.59.input_layernorm.weight": "model-00015-of-00015.safetensors",
|
504 |
+
"model.layers.59.mlp.down_proj.weight": "model-00015-of-00015.safetensors",
|
505 |
+
"model.layers.59.mlp.gate_proj.weight": "model-00014-of-00015.safetensors",
|
506 |
+
"model.layers.59.mlp.up_proj.weight": "model-00014-of-00015.safetensors",
|
507 |
+
"model.layers.59.post_attention_layernorm.weight": "model-00015-of-00015.safetensors",
|
508 |
+
"model.layers.59.self_attn.k_proj.weight": "model-00014-of-00015.safetensors",
|
509 |
+
"model.layers.59.self_attn.o_proj.weight": "model-00014-of-00015.safetensors",
|
510 |
+
"model.layers.59.self_attn.q_proj.weight": "model-00014-of-00015.safetensors",
|
511 |
+
"model.layers.59.self_attn.v_proj.weight": "model-00014-of-00015.safetensors",
|
512 |
+
"model.layers.6.input_layernorm.weight": "model-00002-of-00015.safetensors",
|
513 |
+
"model.layers.6.mlp.down_proj.weight": "model-00002-of-00015.safetensors",
|
514 |
+
"model.layers.6.mlp.gate_proj.weight": "model-00002-of-00015.safetensors",
|
515 |
+
"model.layers.6.mlp.up_proj.weight": "model-00002-of-00015.safetensors",
|
516 |
+
"model.layers.6.post_attention_layernorm.weight": "model-00002-of-00015.safetensors",
|
517 |
+
"model.layers.6.self_attn.k_proj.weight": "model-00002-of-00015.safetensors",
|
518 |
+
"model.layers.6.self_attn.o_proj.weight": "model-00002-of-00015.safetensors",
|
519 |
+
"model.layers.6.self_attn.q_proj.weight": "model-00002-of-00015.safetensors",
|
520 |
+
"model.layers.6.self_attn.v_proj.weight": "model-00002-of-00015.safetensors",
|
521 |
+
"model.layers.7.input_layernorm.weight": "model-00003-of-00015.safetensors",
|
522 |
+
"model.layers.7.mlp.down_proj.weight": "model-00003-of-00015.safetensors",
|
523 |
+
"model.layers.7.mlp.gate_proj.weight": "model-00002-of-00015.safetensors",
|
524 |
+
"model.layers.7.mlp.up_proj.weight": "model-00002-of-00015.safetensors",
|
525 |
+
"model.layers.7.post_attention_layernorm.weight": "model-00003-of-00015.safetensors",
|
526 |
+
"model.layers.7.self_attn.k_proj.weight": "model-00002-of-00015.safetensors",
|
527 |
+
"model.layers.7.self_attn.o_proj.weight": "model-00002-of-00015.safetensors",
|
528 |
+
"model.layers.7.self_attn.q_proj.weight": "model-00002-of-00015.safetensors",
|
529 |
+
"model.layers.7.self_attn.v_proj.weight": "model-00002-of-00015.safetensors",
|
530 |
+
"model.layers.8.input_layernorm.weight": "model-00003-of-00015.safetensors",
|
531 |
+
"model.layers.8.mlp.down_proj.weight": "model-00003-of-00015.safetensors",
|
532 |
+
"model.layers.8.mlp.gate_proj.weight": "model-00003-of-00015.safetensors",
|
533 |
+
"model.layers.8.mlp.up_proj.weight": "model-00003-of-00015.safetensors",
|
534 |
+
"model.layers.8.post_attention_layernorm.weight": "model-00003-of-00015.safetensors",
|
535 |
+
"model.layers.8.self_attn.k_proj.weight": "model-00003-of-00015.safetensors",
|
536 |
+
"model.layers.8.self_attn.o_proj.weight": "model-00003-of-00015.safetensors",
|
537 |
+
"model.layers.8.self_attn.q_proj.weight": "model-00003-of-00015.safetensors",
|
538 |
+
"model.layers.8.self_attn.v_proj.weight": "model-00003-of-00015.safetensors",
|
539 |
+
"model.layers.9.input_layernorm.weight": "model-00003-of-00015.safetensors",
|
540 |
+
"model.layers.9.mlp.down_proj.weight": "model-00003-of-00015.safetensors",
|
541 |
+
"model.layers.9.mlp.gate_proj.weight": "model-00003-of-00015.safetensors",
|
542 |
+
"model.layers.9.mlp.up_proj.weight": "model-00003-of-00015.safetensors",
|
543 |
+
"model.layers.9.post_attention_layernorm.weight": "model-00003-of-00015.safetensors",
|
544 |
+
"model.layers.9.self_attn.k_proj.weight": "model-00003-of-00015.safetensors",
|
545 |
+
"model.layers.9.self_attn.o_proj.weight": "model-00003-of-00015.safetensors",
|
546 |
+
"model.layers.9.self_attn.q_proj.weight": "model-00003-of-00015.safetensors",
|
547 |
+
"model.layers.9.self_attn.v_proj.weight": "model-00003-of-00015.safetensors",
|
548 |
+
"model.norm.weight": "model-00015-of-00015.safetensors"
|
549 |
+
}
|
550 |
+
}
|
special_tokens_map.json
ADDED
@@ -0,0 +1,30 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"bos_token": {
|
3 |
+
"content": "<|startoftext|>",
|
4 |
+
"lstrip": false,
|
5 |
+
"normalized": false,
|
6 |
+
"rstrip": false,
|
7 |
+
"single_word": false
|
8 |
+
},
|
9 |
+
"eos_token": {
|
10 |
+
"content": "<|endoftext|>",
|
11 |
+
"lstrip": false,
|
12 |
+
"normalized": false,
|
13 |
+
"rstrip": false,
|
14 |
+
"single_word": false
|
15 |
+
},
|
16 |
+
"pad_token": {
|
17 |
+
"content": "<unk>",
|
18 |
+
"lstrip": false,
|
19 |
+
"normalized": false,
|
20 |
+
"rstrip": false,
|
21 |
+
"single_word": false
|
22 |
+
},
|
23 |
+
"unk_token": {
|
24 |
+
"content": "<unk>",
|
25 |
+
"lstrip": false,
|
26 |
+
"normalized": false,
|
27 |
+
"rstrip": false,
|
28 |
+
"single_word": false
|
29 |
+
}
|
30 |
+
}
|
tokenizer.model
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:386c49cf943d71aa110361135338c50e38beeff0a66593480421f37b319e1a39
|
3 |
+
size 1033105
|
tokenizer_config.json
ADDED
@@ -0,0 +1,43 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"add_bos_token": true,
|
3 |
+
"add_eos_token": false,
|
4 |
+
"added_tokens_decoder": {
|
5 |
+
"0": {
|
6 |
+
"content": "<unk>",
|
7 |
+
"lstrip": false,
|
8 |
+
"normalized": false,
|
9 |
+
"rstrip": false,
|
10 |
+
"single_word": false,
|
11 |
+
"special": true
|
12 |
+
},
|
13 |
+
"1": {
|
14 |
+
"content": "<|startoftext|>",
|
15 |
+
"lstrip": false,
|
16 |
+
"normalized": false,
|
17 |
+
"rstrip": false,
|
18 |
+
"single_word": false,
|
19 |
+
"special": true
|
20 |
+
},
|
21 |
+
"2": {
|
22 |
+
"content": "<|endoftext|>",
|
23 |
+
"lstrip": false,
|
24 |
+
"normalized": false,
|
25 |
+
"rstrip": false,
|
26 |
+
"single_word": false,
|
27 |
+
"special": true
|
28 |
+
}
|
29 |
+
},
|
30 |
+
"bos_token": "<|startoftext|>",
|
31 |
+
"clean_up_tokenization_spaces": false,
|
32 |
+
"eos_token": "<|endoftext|>",
|
33 |
+
"legacy": true,
|
34 |
+
"model_max_length": 4096,
|
35 |
+
"pad_token": "<unk>",
|
36 |
+
"padding_side": "right",
|
37 |
+
"sp_model_kwargs": {},
|
38 |
+
"spaces_between_special_tokens": false,
|
39 |
+
"split_special_tokens": false,
|
40 |
+
"tokenizer_class": "LlamaTokenizer",
|
41 |
+
"unk_token": "<unk>",
|
42 |
+
"use_default_system_prompt": false
|
43 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,1253 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": null,
|
3 |
+
"best_model_checkpoint": null,
|
4 |
+
"epoch": 1.3301465239530292,
|
5 |
+
"eval_steps": 50,
|
6 |
+
"global_step": 200,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.01,
|
13 |
+
"learning_rate": 1.3333333333333334e-06,
|
14 |
+
"loss": 1.1551,
|
15 |
+
"step": 1
|
16 |
+
},
|
17 |
+
{
|
18 |
+
"epoch": 0.01,
|
19 |
+
"learning_rate": 2.666666666666667e-06,
|
20 |
+
"loss": 1.154,
|
21 |
+
"step": 2
|
22 |
+
},
|
23 |
+
{
|
24 |
+
"epoch": 0.02,
|
25 |
+
"learning_rate": 4.000000000000001e-06,
|
26 |
+
"loss": 1.1059,
|
27 |
+
"step": 3
|
28 |
+
},
|
29 |
+
{
|
30 |
+
"epoch": 0.03,
|
31 |
+
"learning_rate": 5.333333333333334e-06,
|
32 |
+
"loss": 1.0639,
|
33 |
+
"step": 4
|
34 |
+
},
|
35 |
+
{
|
36 |
+
"epoch": 0.03,
|
37 |
+
"learning_rate": 6.666666666666667e-06,
|
38 |
+
"loss": 1.0078,
|
39 |
+
"step": 5
|
40 |
+
},
|
41 |
+
{
|
42 |
+
"epoch": 0.04,
|
43 |
+
"learning_rate": 8.000000000000001e-06,
|
44 |
+
"loss": 0.9614,
|
45 |
+
"step": 6
|
46 |
+
},
|
47 |
+
{
|
48 |
+
"epoch": 0.05,
|
49 |
+
"learning_rate": 9.333333333333334e-06,
|
50 |
+
"loss": 0.9721,
|
51 |
+
"step": 7
|
52 |
+
},
|
53 |
+
{
|
54 |
+
"epoch": 0.05,
|
55 |
+
"learning_rate": 1.0666666666666667e-05,
|
56 |
+
"loss": 0.9311,
|
57 |
+
"step": 8
|
58 |
+
},
|
59 |
+
{
|
60 |
+
"epoch": 0.06,
|
61 |
+
"learning_rate": 1.2e-05,
|
62 |
+
"loss": 0.9092,
|
63 |
+
"step": 9
|
64 |
+
},
|
65 |
+
{
|
66 |
+
"epoch": 0.07,
|
67 |
+
"learning_rate": 1.3333333333333333e-05,
|
68 |
+
"loss": 0.8757,
|
69 |
+
"step": 10
|
70 |
+
},
|
71 |
+
{
|
72 |
+
"epoch": 0.07,
|
73 |
+
"learning_rate": 1.4666666666666666e-05,
|
74 |
+
"loss": 0.9356,
|
75 |
+
"step": 11
|
76 |
+
},
|
77 |
+
{
|
78 |
+
"epoch": 0.08,
|
79 |
+
"learning_rate": 1.6000000000000003e-05,
|
80 |
+
"loss": 0.8963,
|
81 |
+
"step": 12
|
82 |
+
},
|
83 |
+
{
|
84 |
+
"epoch": 0.09,
|
85 |
+
"learning_rate": 1.7333333333333336e-05,
|
86 |
+
"loss": 0.9095,
|
87 |
+
"step": 13
|
88 |
+
},
|
89 |
+
{
|
90 |
+
"epoch": 0.09,
|
91 |
+
"learning_rate": 1.866666666666667e-05,
|
92 |
+
"loss": 0.9306,
|
93 |
+
"step": 14
|
94 |
+
},
|
95 |
+
{
|
96 |
+
"epoch": 0.1,
|
97 |
+
"learning_rate": 2e-05,
|
98 |
+
"loss": 0.9089,
|
99 |
+
"step": 15
|
100 |
+
},
|
101 |
+
{
|
102 |
+
"epoch": 0.11,
|
103 |
+
"learning_rate": 1.9999392458943432e-05,
|
104 |
+
"loss": 0.9064,
|
105 |
+
"step": 16
|
106 |
+
},
|
107 |
+
{
|
108 |
+
"epoch": 0.11,
|
109 |
+
"learning_rate": 1.9997569909594948e-05,
|
110 |
+
"loss": 0.8986,
|
111 |
+
"step": 17
|
112 |
+
},
|
113 |
+
{
|
114 |
+
"epoch": 0.12,
|
115 |
+
"learning_rate": 1.999453257340926e-05,
|
116 |
+
"loss": 0.923,
|
117 |
+
"step": 18
|
118 |
+
},
|
119 |
+
{
|
120 |
+
"epoch": 0.13,
|
121 |
+
"learning_rate": 1.9990280819447662e-05,
|
122 |
+
"loss": 0.9112,
|
123 |
+
"step": 19
|
124 |
+
},
|
125 |
+
{
|
126 |
+
"epoch": 0.13,
|
127 |
+
"learning_rate": 1.9984815164333163e-05,
|
128 |
+
"loss": 0.8882,
|
129 |
+
"step": 20
|
130 |
+
},
|
131 |
+
{
|
132 |
+
"epoch": 0.14,
|
133 |
+
"learning_rate": 1.9978136272187745e-05,
|
134 |
+
"loss": 0.9149,
|
135 |
+
"step": 21
|
136 |
+
},
|
137 |
+
{
|
138 |
+
"epoch": 0.15,
|
139 |
+
"learning_rate": 1.9970244954551648e-05,
|
140 |
+
"loss": 0.9003,
|
141 |
+
"step": 22
|
142 |
+
},
|
143 |
+
{
|
144 |
+
"epoch": 0.15,
|
145 |
+
"learning_rate": 1.9961142170284762e-05,
|
146 |
+
"loss": 0.8286,
|
147 |
+
"step": 23
|
148 |
+
},
|
149 |
+
{
|
150 |
+
"epoch": 0.16,
|
151 |
+
"learning_rate": 1.9950829025450116e-05,
|
152 |
+
"loss": 0.8972,
|
153 |
+
"step": 24
|
154 |
+
},
|
155 |
+
{
|
156 |
+
"epoch": 0.17,
|
157 |
+
"learning_rate": 1.9939306773179498e-05,
|
158 |
+
"loss": 0.887,
|
159 |
+
"step": 25
|
160 |
+
},
|
161 |
+
{
|
162 |
+
"epoch": 0.17,
|
163 |
+
"learning_rate": 1.9926576813521167e-05,
|
164 |
+
"loss": 0.8968,
|
165 |
+
"step": 26
|
166 |
+
},
|
167 |
+
{
|
168 |
+
"epoch": 0.18,
|
169 |
+
"learning_rate": 1.9912640693269754e-05,
|
170 |
+
"loss": 0.8983,
|
171 |
+
"step": 27
|
172 |
+
},
|
173 |
+
{
|
174 |
+
"epoch": 0.19,
|
175 |
+
"learning_rate": 1.98975001057783e-05,
|
176 |
+
"loss": 0.9228,
|
177 |
+
"step": 28
|
178 |
+
},
|
179 |
+
{
|
180 |
+
"epoch": 0.19,
|
181 |
+
"learning_rate": 1.9881156890752517e-05,
|
182 |
+
"loss": 0.905,
|
183 |
+
"step": 29
|
184 |
+
},
|
185 |
+
{
|
186 |
+
"epoch": 0.2,
|
187 |
+
"learning_rate": 1.9863613034027224e-05,
|
188 |
+
"loss": 0.879,
|
189 |
+
"step": 30
|
190 |
+
},
|
191 |
+
{
|
192 |
+
"epoch": 0.21,
|
193 |
+
"learning_rate": 1.9844870667325073e-05,
|
194 |
+
"loss": 0.8406,
|
195 |
+
"step": 31
|
196 |
+
},
|
197 |
+
{
|
198 |
+
"epoch": 0.21,
|
199 |
+
"learning_rate": 1.9824932067997516e-05,
|
200 |
+
"loss": 0.8851,
|
201 |
+
"step": 32
|
202 |
+
},
|
203 |
+
{
|
204 |
+
"epoch": 0.22,
|
205 |
+
"learning_rate": 1.9803799658748096e-05,
|
206 |
+
"loss": 0.884,
|
207 |
+
"step": 33
|
208 |
+
},
|
209 |
+
{
|
210 |
+
"epoch": 0.23,
|
211 |
+
"learning_rate": 1.9781476007338058e-05,
|
212 |
+
"loss": 0.8482,
|
213 |
+
"step": 34
|
214 |
+
},
|
215 |
+
{
|
216 |
+
"epoch": 0.23,
|
217 |
+
"learning_rate": 1.9757963826274357e-05,
|
218 |
+
"loss": 0.8561,
|
219 |
+
"step": 35
|
220 |
+
},
|
221 |
+
{
|
222 |
+
"epoch": 0.24,
|
223 |
+
"learning_rate": 1.973326597248006e-05,
|
224 |
+
"loss": 0.923,
|
225 |
+
"step": 36
|
226 |
+
},
|
227 |
+
{
|
228 |
+
"epoch": 0.25,
|
229 |
+
"learning_rate": 1.97073854469472e-05,
|
230 |
+
"loss": 0.848,
|
231 |
+
"step": 37
|
232 |
+
},
|
233 |
+
{
|
234 |
+
"epoch": 0.25,
|
235 |
+
"learning_rate": 1.968032539437215e-05,
|
236 |
+
"loss": 0.8416,
|
237 |
+
"step": 38
|
238 |
+
},
|
239 |
+
{
|
240 |
+
"epoch": 0.26,
|
241 |
+
"learning_rate": 1.9652089102773487e-05,
|
242 |
+
"loss": 0.8664,
|
243 |
+
"step": 39
|
244 |
+
},
|
245 |
+
{
|
246 |
+
"epoch": 0.27,
|
247 |
+
"learning_rate": 1.9622680003092503e-05,
|
248 |
+
"loss": 0.8776,
|
249 |
+
"step": 40
|
250 |
+
},
|
251 |
+
{
|
252 |
+
"epoch": 0.27,
|
253 |
+
"learning_rate": 1.95921016687763e-05,
|
254 |
+
"loss": 0.902,
|
255 |
+
"step": 41
|
256 |
+
},
|
257 |
+
{
|
258 |
+
"epoch": 0.28,
|
259 |
+
"learning_rate": 1.9560357815343577e-05,
|
260 |
+
"loss": 0.895,
|
261 |
+
"step": 42
|
262 |
+
},
|
263 |
+
{
|
264 |
+
"epoch": 0.29,
|
265 |
+
"learning_rate": 1.9527452299933192e-05,
|
266 |
+
"loss": 0.8891,
|
267 |
+
"step": 43
|
268 |
+
},
|
269 |
+
{
|
270 |
+
"epoch": 0.29,
|
271 |
+
"learning_rate": 1.9493389120835462e-05,
|
272 |
+
"loss": 0.8614,
|
273 |
+
"step": 44
|
274 |
+
},
|
275 |
+
{
|
276 |
+
"epoch": 0.3,
|
277 |
+
"learning_rate": 1.9458172417006347e-05,
|
278 |
+
"loss": 0.8723,
|
279 |
+
"step": 45
|
280 |
+
},
|
281 |
+
{
|
282 |
+
"epoch": 0.31,
|
283 |
+
"learning_rate": 1.9421806467564546e-05,
|
284 |
+
"loss": 0.8956,
|
285 |
+
"step": 46
|
286 |
+
},
|
287 |
+
{
|
288 |
+
"epoch": 0.31,
|
289 |
+
"learning_rate": 1.9384295691271523e-05,
|
290 |
+
"loss": 0.9021,
|
291 |
+
"step": 47
|
292 |
+
},
|
293 |
+
{
|
294 |
+
"epoch": 0.32,
|
295 |
+
"learning_rate": 1.934564464599461e-05,
|
296 |
+
"loss": 0.9069,
|
297 |
+
"step": 48
|
298 |
+
},
|
299 |
+
{
|
300 |
+
"epoch": 0.33,
|
301 |
+
"learning_rate": 1.9305858028153186e-05,
|
302 |
+
"loss": 0.8903,
|
303 |
+
"step": 49
|
304 |
+
},
|
305 |
+
{
|
306 |
+
"epoch": 0.33,
|
307 |
+
"learning_rate": 1.9264940672148018e-05,
|
308 |
+
"loss": 0.8661,
|
309 |
+
"step": 50
|
310 |
+
},
|
311 |
+
{
|
312 |
+
"epoch": 0.33,
|
313 |
+
"eval_loss": 1.056524395942688,
|
314 |
+
"eval_runtime": 106.5377,
|
315 |
+
"eval_samples_per_second": 7.303,
|
316 |
+
"eval_steps_per_second": 0.235,
|
317 |
+
"step": 50
|
318 |
+
},
|
319 |
+
{
|
320 |
+
"epoch": 0.34,
|
321 |
+
"learning_rate": 1.922289754977385e-05,
|
322 |
+
"loss": 0.8758,
|
323 |
+
"step": 51
|
324 |
+
},
|
325 |
+
{
|
326 |
+
"epoch": 0.35,
|
327 |
+
"learning_rate": 1.9179733769615273e-05,
|
328 |
+
"loss": 0.87,
|
329 |
+
"step": 52
|
330 |
+
},
|
331 |
+
{
|
332 |
+
"epoch": 0.35,
|
333 |
+
"learning_rate": 1.913545457642601e-05,
|
334 |
+
"loss": 0.8788,
|
335 |
+
"step": 53
|
336 |
+
},
|
337 |
+
{
|
338 |
+
"epoch": 0.36,
|
339 |
+
"learning_rate": 1.909006535049163e-05,
|
340 |
+
"loss": 0.8621,
|
341 |
+
"step": 54
|
342 |
+
},
|
343 |
+
{
|
344 |
+
"epoch": 0.37,
|
345 |
+
"learning_rate": 1.9043571606975776e-05,
|
346 |
+
"loss": 0.8481,
|
347 |
+
"step": 55
|
348 |
+
},
|
349 |
+
{
|
350 |
+
"epoch": 0.37,
|
351 |
+
"learning_rate": 1.899597899525007e-05,
|
352 |
+
"loss": 0.8284,
|
353 |
+
"step": 56
|
354 |
+
},
|
355 |
+
{
|
356 |
+
"epoch": 0.38,
|
357 |
+
"learning_rate": 1.8947293298207637e-05,
|
358 |
+
"loss": 0.8297,
|
359 |
+
"step": 57
|
360 |
+
},
|
361 |
+
{
|
362 |
+
"epoch": 0.39,
|
363 |
+
"learning_rate": 1.8897520431560435e-05,
|
364 |
+
"loss": 0.8697,
|
365 |
+
"step": 58
|
366 |
+
},
|
367 |
+
{
|
368 |
+
"epoch": 0.39,
|
369 |
+
"learning_rate": 1.884666644312046e-05,
|
370 |
+
"loss": 0.8544,
|
371 |
+
"step": 59
|
372 |
+
},
|
373 |
+
{
|
374 |
+
"epoch": 0.4,
|
375 |
+
"learning_rate": 1.879473751206489e-05,
|
376 |
+
"loss": 0.9064,
|
377 |
+
"step": 60
|
378 |
+
},
|
379 |
+
{
|
380 |
+
"epoch": 0.41,
|
381 |
+
"learning_rate": 1.8741739948185256e-05,
|
382 |
+
"loss": 0.8845,
|
383 |
+
"step": 61
|
384 |
+
},
|
385 |
+
{
|
386 |
+
"epoch": 0.41,
|
387 |
+
"learning_rate": 1.8687680191120746e-05,
|
388 |
+
"loss": 0.8724,
|
389 |
+
"step": 62
|
390 |
+
},
|
391 |
+
{
|
392 |
+
"epoch": 0.42,
|
393 |
+
"learning_rate": 1.863256480957574e-05,
|
394 |
+
"loss": 0.8918,
|
395 |
+
"step": 63
|
396 |
+
},
|
397 |
+
{
|
398 |
+
"epoch": 0.43,
|
399 |
+
"learning_rate": 1.8576400500521673e-05,
|
400 |
+
"loss": 0.893,
|
401 |
+
"step": 64
|
402 |
+
},
|
403 |
+
{
|
404 |
+
"epoch": 0.43,
|
405 |
+
"learning_rate": 1.851919408838327e-05,
|
406 |
+
"loss": 0.8763,
|
407 |
+
"step": 65
|
408 |
+
},
|
409 |
+
{
|
410 |
+
"epoch": 0.44,
|
411 |
+
"learning_rate": 1.8460952524209355e-05,
|
412 |
+
"loss": 0.8619,
|
413 |
+
"step": 66
|
414 |
+
},
|
415 |
+
{
|
416 |
+
"epoch": 0.45,
|
417 |
+
"learning_rate": 1.8401682884828212e-05,
|
418 |
+
"loss": 0.8779,
|
419 |
+
"step": 67
|
420 |
+
},
|
421 |
+
{
|
422 |
+
"epoch": 0.45,
|
423 |
+
"learning_rate": 1.83413923719877e-05,
|
424 |
+
"loss": 0.8755,
|
425 |
+
"step": 68
|
426 |
+
},
|
427 |
+
{
|
428 |
+
"epoch": 0.46,
|
429 |
+
"learning_rate": 1.8280088311480203e-05,
|
430 |
+
"loss": 0.8846,
|
431 |
+
"step": 69
|
432 |
+
},
|
433 |
+
{
|
434 |
+
"epoch": 0.47,
|
435 |
+
"learning_rate": 1.821777815225245e-05,
|
436 |
+
"loss": 0.8681,
|
437 |
+
"step": 70
|
438 |
+
},
|
439 |
+
{
|
440 |
+
"epoch": 0.47,
|
441 |
+
"learning_rate": 1.8154469465500447e-05,
|
442 |
+
"loss": 0.865,
|
443 |
+
"step": 71
|
444 |
+
},
|
445 |
+
{
|
446 |
+
"epoch": 0.48,
|
447 |
+
"learning_rate": 1.8090169943749477e-05,
|
448 |
+
"loss": 0.832,
|
449 |
+
"step": 72
|
450 |
+
},
|
451 |
+
{
|
452 |
+
"epoch": 0.49,
|
453 |
+
"learning_rate": 1.802488739991941e-05,
|
454 |
+
"loss": 0.8529,
|
455 |
+
"step": 73
|
456 |
+
},
|
457 |
+
{
|
458 |
+
"epoch": 0.49,
|
459 |
+
"learning_rate": 1.7958629766375387e-05,
|
460 |
+
"loss": 0.8143,
|
461 |
+
"step": 74
|
462 |
+
},
|
463 |
+
{
|
464 |
+
"epoch": 0.5,
|
465 |
+
"learning_rate": 1.789140509396394e-05,
|
466 |
+
"loss": 0.8611,
|
467 |
+
"step": 75
|
468 |
+
},
|
469 |
+
{
|
470 |
+
"epoch": 0.51,
|
471 |
+
"learning_rate": 1.7823221551034766e-05,
|
472 |
+
"loss": 0.8464,
|
473 |
+
"step": 76
|
474 |
+
},
|
475 |
+
{
|
476 |
+
"epoch": 0.51,
|
477 |
+
"learning_rate": 1.7754087422448217e-05,
|
478 |
+
"loss": 0.828,
|
479 |
+
"step": 77
|
480 |
+
},
|
481 |
+
{
|
482 |
+
"epoch": 0.52,
|
483 |
+
"learning_rate": 1.7684011108568593e-05,
|
484 |
+
"loss": 0.8649,
|
485 |
+
"step": 78
|
486 |
+
},
|
487 |
+
{
|
488 |
+
"epoch": 0.53,
|
489 |
+
"learning_rate": 1.7613001124243448e-05,
|
490 |
+
"loss": 0.8319,
|
491 |
+
"step": 79
|
492 |
+
},
|
493 |
+
{
|
494 |
+
"epoch": 0.53,
|
495 |
+
"learning_rate": 1.7541066097768965e-05,
|
496 |
+
"loss": 0.8834,
|
497 |
+
"step": 80
|
498 |
+
},
|
499 |
+
{
|
500 |
+
"epoch": 0.54,
|
501 |
+
"learning_rate": 1.7468214769841542e-05,
|
502 |
+
"loss": 0.8508,
|
503 |
+
"step": 81
|
504 |
+
},
|
505 |
+
{
|
506 |
+
"epoch": 0.55,
|
507 |
+
"learning_rate": 1.7394455992495722e-05,
|
508 |
+
"loss": 0.8629,
|
509 |
+
"step": 82
|
510 |
+
},
|
511 |
+
{
|
512 |
+
"epoch": 0.55,
|
513 |
+
"learning_rate": 1.7319798728028617e-05,
|
514 |
+
"loss": 0.8607,
|
515 |
+
"step": 83
|
516 |
+
},
|
517 |
+
{
|
518 |
+
"epoch": 0.56,
|
519 |
+
"learning_rate": 1.7244252047910893e-05,
|
520 |
+
"loss": 0.81,
|
521 |
+
"step": 84
|
522 |
+
},
|
523 |
+
{
|
524 |
+
"epoch": 0.57,
|
525 |
+
"learning_rate": 1.7167825131684516e-05,
|
526 |
+
"loss": 0.8616,
|
527 |
+
"step": 85
|
528 |
+
},
|
529 |
+
{
|
530 |
+
"epoch": 0.57,
|
531 |
+
"learning_rate": 1.7090527265847375e-05,
|
532 |
+
"loss": 0.8772,
|
533 |
+
"step": 86
|
534 |
+
},
|
535 |
+
{
|
536 |
+
"epoch": 0.58,
|
537 |
+
"learning_rate": 1.7012367842724887e-05,
|
538 |
+
"loss": 0.8661,
|
539 |
+
"step": 87
|
540 |
+
},
|
541 |
+
{
|
542 |
+
"epoch": 0.59,
|
543 |
+
"learning_rate": 1.6933356359328756e-05,
|
544 |
+
"loss": 0.8721,
|
545 |
+
"step": 88
|
546 |
+
},
|
547 |
+
{
|
548 |
+
"epoch": 0.59,
|
549 |
+
"learning_rate": 1.6853502416203e-05,
|
550 |
+
"loss": 0.8814,
|
551 |
+
"step": 89
|
552 |
+
},
|
553 |
+
{
|
554 |
+
"epoch": 0.6,
|
555 |
+
"learning_rate": 1.6772815716257414e-05,
|
556 |
+
"loss": 0.8447,
|
557 |
+
"step": 90
|
558 |
+
},
|
559 |
+
{
|
560 |
+
"epoch": 0.61,
|
561 |
+
"learning_rate": 1.6691306063588583e-05,
|
562 |
+
"loss": 0.8353,
|
563 |
+
"step": 91
|
564 |
+
},
|
565 |
+
{
|
566 |
+
"epoch": 0.61,
|
567 |
+
"learning_rate": 1.6608983362288612e-05,
|
568 |
+
"loss": 0.8291,
|
569 |
+
"step": 92
|
570 |
+
},
|
571 |
+
{
|
572 |
+
"epoch": 0.62,
|
573 |
+
"learning_rate": 1.6525857615241686e-05,
|
574 |
+
"loss": 0.8955,
|
575 |
+
"step": 93
|
576 |
+
},
|
577 |
+
{
|
578 |
+
"epoch": 0.63,
|
579 |
+
"learning_rate": 1.6441938922908644e-05,
|
580 |
+
"loss": 0.8361,
|
581 |
+
"step": 94
|
582 |
+
},
|
583 |
+
{
|
584 |
+
"epoch": 0.63,
|
585 |
+
"learning_rate": 1.6357237482099682e-05,
|
586 |
+
"loss": 0.8597,
|
587 |
+
"step": 95
|
588 |
+
},
|
589 |
+
{
|
590 |
+
"epoch": 0.64,
|
591 |
+
"learning_rate": 1.6271763584735373e-05,
|
592 |
+
"loss": 0.8375,
|
593 |
+
"step": 96
|
594 |
+
},
|
595 |
+
{
|
596 |
+
"epoch": 0.65,
|
597 |
+
"learning_rate": 1.6185527616596096e-05,
|
598 |
+
"loss": 0.8907,
|
599 |
+
"step": 97
|
600 |
+
},
|
601 |
+
{
|
602 |
+
"epoch": 0.65,
|
603 |
+
"learning_rate": 1.609854005606009e-05,
|
604 |
+
"loss": 0.8775,
|
605 |
+
"step": 98
|
606 |
+
},
|
607 |
+
{
|
608 |
+
"epoch": 0.66,
|
609 |
+
"learning_rate": 1.6010811472830253e-05,
|
610 |
+
"loss": 0.8629,
|
611 |
+
"step": 99
|
612 |
+
},
|
613 |
+
{
|
614 |
+
"epoch": 0.67,
|
615 |
+
"learning_rate": 1.5922352526649803e-05,
|
616 |
+
"loss": 0.8306,
|
617 |
+
"step": 100
|
618 |
+
},
|
619 |
+
{
|
620 |
+
"epoch": 0.67,
|
621 |
+
"eval_loss": 1.0295250415802002,
|
622 |
+
"eval_runtime": 108.1298,
|
623 |
+
"eval_samples_per_second": 7.195,
|
624 |
+
"eval_steps_per_second": 0.231,
|
625 |
+
"step": 100
|
626 |
+
},
|
627 |
+
{
|
628 |
+
"epoch": 0.67,
|
629 |
+
"learning_rate": 1.583317396600707e-05,
|
630 |
+
"loss": 0.856,
|
631 |
+
"step": 101
|
632 |
+
},
|
633 |
+
{
|
634 |
+
"epoch": 0.68,
|
635 |
+
"learning_rate": 1.5743286626829437e-05,
|
636 |
+
"loss": 0.8463,
|
637 |
+
"step": 102
|
638 |
+
},
|
639 |
+
{
|
640 |
+
"epoch": 0.69,
|
641 |
+
"learning_rate": 1.565270143116672e-05,
|
642 |
+
"loss": 0.8399,
|
643 |
+
"step": 103
|
644 |
+
},
|
645 |
+
{
|
646 |
+
"epoch": 0.69,
|
647 |
+
"learning_rate": 1.5561429385864005e-05,
|
648 |
+
"loss": 0.9041,
|
649 |
+
"step": 104
|
650 |
+
},
|
651 |
+
{
|
652 |
+
"epoch": 0.7,
|
653 |
+
"learning_rate": 1.5469481581224274e-05,
|
654 |
+
"loss": 0.8555,
|
655 |
+
"step": 105
|
656 |
+
},
|
657 |
+
{
|
658 |
+
"epoch": 0.7,
|
659 |
+
"learning_rate": 1.5376869189660784e-05,
|
660 |
+
"loss": 0.8195,
|
661 |
+
"step": 106
|
662 |
+
},
|
663 |
+
{
|
664 |
+
"epoch": 0.71,
|
665 |
+
"learning_rate": 1.528360346433959e-05,
|
666 |
+
"loss": 0.8211,
|
667 |
+
"step": 107
|
668 |
+
},
|
669 |
+
{
|
670 |
+
"epoch": 0.72,
|
671 |
+
"learning_rate": 1.5189695737812153e-05,
|
672 |
+
"loss": 0.8115,
|
673 |
+
"step": 108
|
674 |
+
},
|
675 |
+
{
|
676 |
+
"epoch": 0.72,
|
677 |
+
"learning_rate": 1.5095157420638349e-05,
|
678 |
+
"loss": 0.8764,
|
679 |
+
"step": 109
|
680 |
+
},
|
681 |
+
{
|
682 |
+
"epoch": 0.73,
|
683 |
+
"learning_rate": 1.5000000000000002e-05,
|
684 |
+
"loss": 0.8073,
|
685 |
+
"step": 110
|
686 |
+
},
|
687 |
+
{
|
688 |
+
"epoch": 0.74,
|
689 |
+
"learning_rate": 1.4904235038305084e-05,
|
690 |
+
"loss": 0.8068,
|
691 |
+
"step": 111
|
692 |
+
},
|
693 |
+
{
|
694 |
+
"epoch": 0.74,
|
695 |
+
"learning_rate": 1.4807874171782795e-05,
|
696 |
+
"loss": 0.8571,
|
697 |
+
"step": 112
|
698 |
+
},
|
699 |
+
{
|
700 |
+
"epoch": 0.75,
|
701 |
+
"learning_rate": 1.4710929109069674e-05,
|
702 |
+
"loss": 0.8372,
|
703 |
+
"step": 113
|
704 |
+
},
|
705 |
+
{
|
706 |
+
"epoch": 0.76,
|
707 |
+
"learning_rate": 1.461341162978688e-05,
|
708 |
+
"loss": 0.8119,
|
709 |
+
"step": 114
|
710 |
+
},
|
711 |
+
{
|
712 |
+
"epoch": 0.76,
|
713 |
+
"learning_rate": 1.4515333583108896e-05,
|
714 |
+
"loss": 0.8474,
|
715 |
+
"step": 115
|
716 |
+
},
|
717 |
+
{
|
718 |
+
"epoch": 0.77,
|
719 |
+
"learning_rate": 1.4416706886323741e-05,
|
720 |
+
"loss": 0.8273,
|
721 |
+
"step": 116
|
722 |
+
},
|
723 |
+
{
|
724 |
+
"epoch": 0.78,
|
725 |
+
"learning_rate": 1.4317543523384928e-05,
|
726 |
+
"loss": 0.8668,
|
727 |
+
"step": 117
|
728 |
+
},
|
729 |
+
{
|
730 |
+
"epoch": 0.78,
|
731 |
+
"learning_rate": 1.4217855543455323e-05,
|
732 |
+
"loss": 0.8522,
|
733 |
+
"step": 118
|
734 |
+
},
|
735 |
+
{
|
736 |
+
"epoch": 0.79,
|
737 |
+
"learning_rate": 1.4117655059443052e-05,
|
738 |
+
"loss": 0.8469,
|
739 |
+
"step": 119
|
740 |
+
},
|
741 |
+
{
|
742 |
+
"epoch": 0.8,
|
743 |
+
"learning_rate": 1.4016954246529697e-05,
|
744 |
+
"loss": 0.8221,
|
745 |
+
"step": 120
|
746 |
+
},
|
747 |
+
{
|
748 |
+
"epoch": 0.8,
|
749 |
+
"learning_rate": 1.3915765340690916e-05,
|
750 |
+
"loss": 0.851,
|
751 |
+
"step": 121
|
752 |
+
},
|
753 |
+
{
|
754 |
+
"epoch": 0.81,
|
755 |
+
"learning_rate": 1.3814100637209663e-05,
|
756 |
+
"loss": 0.8476,
|
757 |
+
"step": 122
|
758 |
+
},
|
759 |
+
{
|
760 |
+
"epoch": 0.82,
|
761 |
+
"learning_rate": 1.3711972489182208e-05,
|
762 |
+
"loss": 0.8443,
|
763 |
+
"step": 123
|
764 |
+
},
|
765 |
+
{
|
766 |
+
"epoch": 0.82,
|
767 |
+
"learning_rate": 1.3609393306017149e-05,
|
768 |
+
"loss": 0.848,
|
769 |
+
"step": 124
|
770 |
+
},
|
771 |
+
{
|
772 |
+
"epoch": 0.83,
|
773 |
+
"learning_rate": 1.3506375551927546e-05,
|
774 |
+
"loss": 0.815,
|
775 |
+
"step": 125
|
776 |
+
},
|
777 |
+
{
|
778 |
+
"epoch": 0.84,
|
779 |
+
"learning_rate": 1.3402931744416432e-05,
|
780 |
+
"loss": 0.8309,
|
781 |
+
"step": 126
|
782 |
+
},
|
783 |
+
{
|
784 |
+
"epoch": 0.84,
|
785 |
+
"learning_rate": 1.3299074452755829e-05,
|
786 |
+
"loss": 0.7954,
|
787 |
+
"step": 127
|
788 |
+
},
|
789 |
+
{
|
790 |
+
"epoch": 0.85,
|
791 |
+
"learning_rate": 1.3194816296459483e-05,
|
792 |
+
"loss": 0.8263,
|
793 |
+
"step": 128
|
794 |
+
},
|
795 |
+
{
|
796 |
+
"epoch": 0.86,
|
797 |
+
"learning_rate": 1.3090169943749475e-05,
|
798 |
+
"loss": 0.8303,
|
799 |
+
"step": 129
|
800 |
+
},
|
801 |
+
{
|
802 |
+
"epoch": 0.86,
|
803 |
+
"learning_rate": 1.2985148110016947e-05,
|
804 |
+
"loss": 0.8463,
|
805 |
+
"step": 130
|
806 |
+
},
|
807 |
+
{
|
808 |
+
"epoch": 0.87,
|
809 |
+
"learning_rate": 1.2879763556277062e-05,
|
810 |
+
"loss": 0.8681,
|
811 |
+
"step": 131
|
812 |
+
},
|
813 |
+
{
|
814 |
+
"epoch": 0.88,
|
815 |
+
"learning_rate": 1.2774029087618448e-05,
|
816 |
+
"loss": 0.8244,
|
817 |
+
"step": 132
|
818 |
+
},
|
819 |
+
{
|
820 |
+
"epoch": 0.88,
|
821 |
+
"learning_rate": 1.2667957551647263e-05,
|
822 |
+
"loss": 0.8291,
|
823 |
+
"step": 133
|
824 |
+
},
|
825 |
+
{
|
826 |
+
"epoch": 0.89,
|
827 |
+
"learning_rate": 1.2561561836926115e-05,
|
828 |
+
"loss": 0.8724,
|
829 |
+
"step": 134
|
830 |
+
},
|
831 |
+
{
|
832 |
+
"epoch": 0.9,
|
833 |
+
"learning_rate": 1.2454854871407993e-05,
|
834 |
+
"loss": 0.8229,
|
835 |
+
"step": 135
|
836 |
+
},
|
837 |
+
{
|
838 |
+
"epoch": 0.9,
|
839 |
+
"learning_rate": 1.234784962086541e-05,
|
840 |
+
"loss": 0.8299,
|
841 |
+
"step": 136
|
842 |
+
},
|
843 |
+
{
|
844 |
+
"epoch": 0.91,
|
845 |
+
"learning_rate": 1.224055908731496e-05,
|
846 |
+
"loss": 0.8297,
|
847 |
+
"step": 137
|
848 |
+
},
|
849 |
+
{
|
850 |
+
"epoch": 0.92,
|
851 |
+
"learning_rate": 1.213299630743747e-05,
|
852 |
+
"loss": 0.8286,
|
853 |
+
"step": 138
|
854 |
+
},
|
855 |
+
{
|
856 |
+
"epoch": 0.92,
|
857 |
+
"learning_rate": 1.2025174350993923e-05,
|
858 |
+
"loss": 0.8542,
|
859 |
+
"step": 139
|
860 |
+
},
|
861 |
+
{
|
862 |
+
"epoch": 0.93,
|
863 |
+
"learning_rate": 1.1917106319237386e-05,
|
864 |
+
"loss": 0.8157,
|
865 |
+
"step": 140
|
866 |
+
},
|
867 |
+
{
|
868 |
+
"epoch": 0.94,
|
869 |
+
"learning_rate": 1.1808805343321102e-05,
|
870 |
+
"loss": 0.8591,
|
871 |
+
"step": 141
|
872 |
+
},
|
873 |
+
{
|
874 |
+
"epoch": 0.94,
|
875 |
+
"learning_rate": 1.1700284582702933e-05,
|
876 |
+
"loss": 0.8192,
|
877 |
+
"step": 142
|
878 |
+
},
|
879 |
+
{
|
880 |
+
"epoch": 0.95,
|
881 |
+
"learning_rate": 1.1591557223546394e-05,
|
882 |
+
"loss": 0.8493,
|
883 |
+
"step": 143
|
884 |
+
},
|
885 |
+
{
|
886 |
+
"epoch": 0.96,
|
887 |
+
"learning_rate": 1.148263647711842e-05,
|
888 |
+
"loss": 0.858,
|
889 |
+
"step": 144
|
890 |
+
},
|
891 |
+
{
|
892 |
+
"epoch": 0.96,
|
893 |
+
"learning_rate": 1.1373535578184083e-05,
|
894 |
+
"loss": 0.7751,
|
895 |
+
"step": 145
|
896 |
+
},
|
897 |
+
{
|
898 |
+
"epoch": 0.97,
|
899 |
+
"learning_rate": 1.1264267783398463e-05,
|
900 |
+
"loss": 0.7998,
|
901 |
+
"step": 146
|
902 |
+
},
|
903 |
+
{
|
904 |
+
"epoch": 0.98,
|
905 |
+
"learning_rate": 1.1154846369695864e-05,
|
906 |
+
"loss": 0.8321,
|
907 |
+
"step": 147
|
908 |
+
},
|
909 |
+
{
|
910 |
+
"epoch": 0.98,
|
911 |
+
"learning_rate": 1.1045284632676535e-05,
|
912 |
+
"loss": 0.8339,
|
913 |
+
"step": 148
|
914 |
+
},
|
915 |
+
{
|
916 |
+
"epoch": 0.99,
|
917 |
+
"learning_rate": 1.093559588499118e-05,
|
918 |
+
"loss": 0.8018,
|
919 |
+
"step": 149
|
920 |
+
},
|
921 |
+
{
|
922 |
+
"epoch": 1.0,
|
923 |
+
"learning_rate": 1.0825793454723325e-05,
|
924 |
+
"loss": 0.8481,
|
925 |
+
"step": 150
|
926 |
+
},
|
927 |
+
{
|
928 |
+
"epoch": 1.0,
|
929 |
+
"eval_loss": 1.0097606182098389,
|
930 |
+
"eval_runtime": 105.9007,
|
931 |
+
"eval_samples_per_second": 7.347,
|
932 |
+
"eval_steps_per_second": 0.236,
|
933 |
+
"step": 150
|
934 |
+
},
|
935 |
+
{
|
936 |
+
"epoch": 1.0,
|
937 |
+
"learning_rate": 1.0715890683769872e-05,
|
938 |
+
"loss": 0.6491,
|
939 |
+
"step": 151
|
940 |
+
},
|
941 |
+
{
|
942 |
+
"epoch": 1.01,
|
943 |
+
"learning_rate": 1.060590092621994e-05,
|
944 |
+
"loss": 0.566,
|
945 |
+
"step": 152
|
946 |
+
},
|
947 |
+
{
|
948 |
+
"epoch": 1.02,
|
949 |
+
"learning_rate": 1.0495837546732224e-05,
|
950 |
+
"loss": 0.5246,
|
951 |
+
"step": 153
|
952 |
+
},
|
953 |
+
{
|
954 |
+
"epoch": 1.02,
|
955 |
+
"learning_rate": 1.0385713918911104e-05,
|
956 |
+
"loss": 0.553,
|
957 |
+
"step": 154
|
958 |
+
},
|
959 |
+
{
|
960 |
+
"epoch": 1.03,
|
961 |
+
"learning_rate": 1.0275543423681622e-05,
|
962 |
+
"loss": 0.5431,
|
963 |
+
"step": 155
|
964 |
+
},
|
965 |
+
{
|
966 |
+
"epoch": 1.04,
|
967 |
+
"learning_rate": 1.0165339447663586e-05,
|
968 |
+
"loss": 0.5586,
|
969 |
+
"step": 156
|
970 |
+
},
|
971 |
+
{
|
972 |
+
"epoch": 1.04,
|
973 |
+
"learning_rate": 1.0055115381545006e-05,
|
974 |
+
"loss": 0.5666,
|
975 |
+
"step": 157
|
976 |
+
},
|
977 |
+
{
|
978 |
+
"epoch": 1.05,
|
979 |
+
"learning_rate": 9.944884618454996e-06,
|
980 |
+
"loss": 0.5396,
|
981 |
+
"step": 158
|
982 |
+
},
|
983 |
+
{
|
984 |
+
"epoch": 1.06,
|
985 |
+
"learning_rate": 9.834660552336415e-06,
|
986 |
+
"loss": 0.5399,
|
987 |
+
"step": 159
|
988 |
+
},
|
989 |
+
{
|
990 |
+
"epoch": 1.06,
|
991 |
+
"learning_rate": 9.724456576318383e-06,
|
992 |
+
"loss": 0.5398,
|
993 |
+
"step": 160
|
994 |
+
},
|
995 |
+
{
|
996 |
+
"epoch": 1.07,
|
997 |
+
"learning_rate": 9.614286081088895e-06,
|
998 |
+
"loss": 0.5432,
|
999 |
+
"step": 161
|
1000 |
+
},
|
1001 |
+
{
|
1002 |
+
"epoch": 1.08,
|
1003 |
+
"learning_rate": 9.504162453267776e-06,
|
1004 |
+
"loss": 0.5178,
|
1005 |
+
"step": 162
|
1006 |
+
},
|
1007 |
+
{
|
1008 |
+
"epoch": 1.08,
|
1009 |
+
"learning_rate": 9.394099073780066e-06,
|
1010 |
+
"loss": 0.5477,
|
1011 |
+
"step": 163
|
1012 |
+
},
|
1013 |
+
{
|
1014 |
+
"epoch": 1.09,
|
1015 |
+
"learning_rate": 9.284109316230133e-06,
|
1016 |
+
"loss": 0.5143,
|
1017 |
+
"step": 164
|
1018 |
+
},
|
1019 |
+
{
|
1020 |
+
"epoch": 1.1,
|
1021 |
+
"learning_rate": 9.174206545276678e-06,
|
1022 |
+
"loss": 0.5184,
|
1023 |
+
"step": 165
|
1024 |
+
},
|
1025 |
+
{
|
1026 |
+
"epoch": 1.1,
|
1027 |
+
"learning_rate": 9.064404115008824e-06,
|
1028 |
+
"loss": 0.551,
|
1029 |
+
"step": 166
|
1030 |
+
},
|
1031 |
+
{
|
1032 |
+
"epoch": 1.11,
|
1033 |
+
"learning_rate": 8.954715367323468e-06,
|
1034 |
+
"loss": 0.5344,
|
1035 |
+
"step": 167
|
1036 |
+
},
|
1037 |
+
{
|
1038 |
+
"epoch": 1.12,
|
1039 |
+
"learning_rate": 8.84515363030414e-06,
|
1040 |
+
"loss": 0.5309,
|
1041 |
+
"step": 168
|
1042 |
+
},
|
1043 |
+
{
|
1044 |
+
"epoch": 1.12,
|
1045 |
+
"learning_rate": 8.735732216601538e-06,
|
1046 |
+
"loss": 0.5222,
|
1047 |
+
"step": 169
|
1048 |
+
},
|
1049 |
+
{
|
1050 |
+
"epoch": 1.13,
|
1051 |
+
"learning_rate": 8.626464421815919e-06,
|
1052 |
+
"loss": 0.5409,
|
1053 |
+
"step": 170
|
1054 |
+
},
|
1055 |
+
{
|
1056 |
+
"epoch": 1.14,
|
1057 |
+
"learning_rate": 8.51736352288158e-06,
|
1058 |
+
"loss": 0.505,
|
1059 |
+
"step": 171
|
1060 |
+
},
|
1061 |
+
{
|
1062 |
+
"epoch": 1.14,
|
1063 |
+
"learning_rate": 8.408442776453606e-06,
|
1064 |
+
"loss": 0.5329,
|
1065 |
+
"step": 172
|
1066 |
+
},
|
1067 |
+
{
|
1068 |
+
"epoch": 1.15,
|
1069 |
+
"learning_rate": 8.299715417297072e-06,
|
1070 |
+
"loss": 0.5214,
|
1071 |
+
"step": 173
|
1072 |
+
},
|
1073 |
+
{
|
1074 |
+
"epoch": 1.16,
|
1075 |
+
"learning_rate": 8.191194656678905e-06,
|
1076 |
+
"loss": 0.5575,
|
1077 |
+
"step": 174
|
1078 |
+
},
|
1079 |
+
{
|
1080 |
+
"epoch": 1.16,
|
1081 |
+
"learning_rate": 8.082893680762619e-06,
|
1082 |
+
"loss": 0.4793,
|
1083 |
+
"step": 175
|
1084 |
+
},
|
1085 |
+
{
|
1086 |
+
"epoch": 1.17,
|
1087 |
+
"learning_rate": 7.974825649006082e-06,
|
1088 |
+
"loss": 0.5347,
|
1089 |
+
"step": 176
|
1090 |
+
},
|
1091 |
+
{
|
1092 |
+
"epoch": 1.18,
|
1093 |
+
"learning_rate": 7.867003692562533e-06,
|
1094 |
+
"loss": 0.5023,
|
1095 |
+
"step": 177
|
1096 |
+
},
|
1097 |
+
{
|
1098 |
+
"epoch": 1.18,
|
1099 |
+
"learning_rate": 7.759440912685043e-06,
|
1100 |
+
"loss": 0.5287,
|
1101 |
+
"step": 178
|
1102 |
+
},
|
1103 |
+
{
|
1104 |
+
"epoch": 1.19,
|
1105 |
+
"learning_rate": 7.652150379134593e-06,
|
1106 |
+
"loss": 0.5421,
|
1107 |
+
"step": 179
|
1108 |
+
},
|
1109 |
+
{
|
1110 |
+
"epoch": 1.2,
|
1111 |
+
"learning_rate": 7.545145128592009e-06,
|
1112 |
+
"loss": 0.5401,
|
1113 |
+
"step": 180
|
1114 |
+
},
|
1115 |
+
{
|
1116 |
+
"epoch": 1.2,
|
1117 |
+
"learning_rate": 7.438438163073884e-06,
|
1118 |
+
"loss": 0.5294,
|
1119 |
+
"step": 181
|
1120 |
+
},
|
1121 |
+
{
|
1122 |
+
"epoch": 1.21,
|
1123 |
+
"learning_rate": 7.3320424483527385e-06,
|
1124 |
+
"loss": 0.5514,
|
1125 |
+
"step": 182
|
1126 |
+
},
|
1127 |
+
{
|
1128 |
+
"epoch": 1.22,
|
1129 |
+
"learning_rate": 7.225970912381557e-06,
|
1130 |
+
"loss": 0.5564,
|
1131 |
+
"step": 183
|
1132 |
+
},
|
1133 |
+
{
|
1134 |
+
"epoch": 1.22,
|
1135 |
+
"learning_rate": 7.120236443722941e-06,
|
1136 |
+
"loss": 0.5374,
|
1137 |
+
"step": 184
|
1138 |
+
},
|
1139 |
+
{
|
1140 |
+
"epoch": 1.23,
|
1141 |
+
"learning_rate": 7.014851889983058e-06,
|
1142 |
+
"loss": 0.5404,
|
1143 |
+
"step": 185
|
1144 |
+
},
|
1145 |
+
{
|
1146 |
+
"epoch": 1.24,
|
1147 |
+
"learning_rate": 6.909830056250527e-06,
|
1148 |
+
"loss": 0.5479,
|
1149 |
+
"step": 186
|
1150 |
+
},
|
1151 |
+
{
|
1152 |
+
"epoch": 1.24,
|
1153 |
+
"learning_rate": 6.80518370354052e-06,
|
1154 |
+
"loss": 0.4935,
|
1155 |
+
"step": 187
|
1156 |
+
},
|
1157 |
+
{
|
1158 |
+
"epoch": 1.25,
|
1159 |
+
"learning_rate": 6.700925547244173e-06,
|
1160 |
+
"loss": 0.4902,
|
1161 |
+
"step": 188
|
1162 |
+
},
|
1163 |
+
{
|
1164 |
+
"epoch": 1.26,
|
1165 |
+
"learning_rate": 6.59706825558357e-06,
|
1166 |
+
"loss": 0.5132,
|
1167 |
+
"step": 189
|
1168 |
+
},
|
1169 |
+
{
|
1170 |
+
"epoch": 1.26,
|
1171 |
+
"learning_rate": 6.4936244480724575e-06,
|
1172 |
+
"loss": 0.5228,
|
1173 |
+
"step": 190
|
1174 |
+
},
|
1175 |
+
{
|
1176 |
+
"epoch": 1.27,
|
1177 |
+
"learning_rate": 6.3906066939828546e-06,
|
1178 |
+
"loss": 0.5442,
|
1179 |
+
"step": 191
|
1180 |
+
},
|
1181 |
+
{
|
1182 |
+
"epoch": 1.28,
|
1183 |
+
"learning_rate": 6.2880275108177915e-06,
|
1184 |
+
"loss": 0.516,
|
1185 |
+
"step": 192
|
1186 |
+
},
|
1187 |
+
{
|
1188 |
+
"epoch": 1.28,
|
1189 |
+
"learning_rate": 6.18589936279034e-06,
|
1190 |
+
"loss": 0.5257,
|
1191 |
+
"step": 193
|
1192 |
+
},
|
1193 |
+
{
|
1194 |
+
"epoch": 1.29,
|
1195 |
+
"learning_rate": 6.084234659309088e-06,
|
1196 |
+
"loss": 0.5389,
|
1197 |
+
"step": 194
|
1198 |
+
},
|
1199 |
+
{
|
1200 |
+
"epoch": 1.3,
|
1201 |
+
"learning_rate": 5.983045753470308e-06,
|
1202 |
+
"loss": 0.5254,
|
1203 |
+
"step": 195
|
1204 |
+
},
|
1205 |
+
{
|
1206 |
+
"epoch": 1.3,
|
1207 |
+
"learning_rate": 5.8823449405569525e-06,
|
1208 |
+
"loss": 0.5112,
|
1209 |
+
"step": 196
|
1210 |
+
},
|
1211 |
+
{
|
1212 |
+
"epoch": 1.31,
|
1213 |
+
"learning_rate": 5.782144456544681e-06,
|
1214 |
+
"loss": 0.5496,
|
1215 |
+
"step": 197
|
1216 |
+
},
|
1217 |
+
{
|
1218 |
+
"epoch": 1.32,
|
1219 |
+
"learning_rate": 5.6824564766150724e-06,
|
1220 |
+
"loss": 0.5285,
|
1221 |
+
"step": 198
|
1222 |
+
},
|
1223 |
+
{
|
1224 |
+
"epoch": 1.32,
|
1225 |
+
"learning_rate": 5.58329311367626e-06,
|
1226 |
+
"loss": 0.5261,
|
1227 |
+
"step": 199
|
1228 |
+
},
|
1229 |
+
{
|
1230 |
+
"epoch": 1.33,
|
1231 |
+
"learning_rate": 5.484666416891109e-06,
|
1232 |
+
"loss": 0.5185,
|
1233 |
+
"step": 200
|
1234 |
+
},
|
1235 |
+
{
|
1236 |
+
"epoch": 1.33,
|
1237 |
+
"eval_loss": 1.0541412830352783,
|
1238 |
+
"eval_runtime": 105.5736,
|
1239 |
+
"eval_samples_per_second": 7.369,
|
1240 |
+
"eval_steps_per_second": 0.237,
|
1241 |
+
"step": 200
|
1242 |
+
}
|
1243 |
+
],
|
1244 |
+
"logging_steps": 1.0,
|
1245 |
+
"max_steps": 300,
|
1246 |
+
"num_input_tokens_seen": 0,
|
1247 |
+
"num_train_epochs": 2,
|
1248 |
+
"save_steps": 50,
|
1249 |
+
"total_flos": 304188748595200.0,
|
1250 |
+
"train_batch_size": 1,
|
1251 |
+
"trial_name": null,
|
1252 |
+
"trial_params": null
|
1253 |
+
}
|
training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:1672e9d251f751fdc94ee38d76a961e37e6c2e91b208a8ee086afc91ce2211fd
|
3 |
+
size 6776
|