andreas122001
commited on
Commit
•
80764b4
1
Parent(s):
52626a8
First model version
Browse files- .gitattributes +1 -0
- bloomz-3b-wiki-detector/.gitattributes +34 -0
- bloomz-3b-wiki-detector/README.md +3 -0
- bloomz-3b-wiki-detector/config.json +42 -0
- bloomz-3b-wiki-detector/optimizer.pt +3 -0
- bloomz-3b-wiki-detector/pytorch_model-00001-of-00002.bin +3 -0
- bloomz-3b-wiki-detector/pytorch_model-00002-of-00002.bin +3 -0
- bloomz-3b-wiki-detector/pytorch_model.bin.index.json +373 -0
- bloomz-3b-wiki-detector/rng_state.pth +3 -0
- bloomz-3b-wiki-detector/scheduler.pt +3 -0
- bloomz-3b-wiki-detector/special_tokens_map.json +6 -0
- bloomz-3b-wiki-detector/tokenizer.json +3 -0
- bloomz-3b-wiki-detector/tokenizer_config.json +11 -0
- bloomz-3b-wiki-detector/trainer_state.json +958 -0
- bloomz-3b-wiki-detector/training_args.bin +3 -0
.gitattributes
CHANGED
@@ -32,3 +32,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
|
|
32 |
*.zip filter=lfs diff=lfs merge=lfs -text
|
33 |
*.zst filter=lfs diff=lfs merge=lfs -text
|
34 |
*tfevents* filter=lfs diff=lfs merge=lfs -text
|
|
|
|
32 |
*.zip filter=lfs diff=lfs merge=lfs -text
|
33 |
*.zst filter=lfs diff=lfs merge=lfs -text
|
34 |
*tfevents* filter=lfs diff=lfs merge=lfs -text
|
35 |
+
bloomz-3b-wiki-detector/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
bloomz-3b-wiki-detector/.gitattributes
ADDED
@@ -0,0 +1,34 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
*.7z filter=lfs diff=lfs merge=lfs -text
|
2 |
+
*.arrow filter=lfs diff=lfs merge=lfs -text
|
3 |
+
*.bin filter=lfs diff=lfs merge=lfs -text
|
4 |
+
*.bz2 filter=lfs diff=lfs merge=lfs -text
|
5 |
+
*.ckpt filter=lfs diff=lfs merge=lfs -text
|
6 |
+
*.ftz filter=lfs diff=lfs merge=lfs -text
|
7 |
+
*.gz filter=lfs diff=lfs merge=lfs -text
|
8 |
+
*.h5 filter=lfs diff=lfs merge=lfs -text
|
9 |
+
*.joblib filter=lfs diff=lfs merge=lfs -text
|
10 |
+
*.lfs.* filter=lfs diff=lfs merge=lfs -text
|
11 |
+
*.mlmodel filter=lfs diff=lfs merge=lfs -text
|
12 |
+
*.model filter=lfs diff=lfs merge=lfs -text
|
13 |
+
*.msgpack filter=lfs diff=lfs merge=lfs -text
|
14 |
+
*.npy filter=lfs diff=lfs merge=lfs -text
|
15 |
+
*.npz filter=lfs diff=lfs merge=lfs -text
|
16 |
+
*.onnx filter=lfs diff=lfs merge=lfs -text
|
17 |
+
*.ot filter=lfs diff=lfs merge=lfs -text
|
18 |
+
*.parquet filter=lfs diff=lfs merge=lfs -text
|
19 |
+
*.pb filter=lfs diff=lfs merge=lfs -text
|
20 |
+
*.pickle filter=lfs diff=lfs merge=lfs -text
|
21 |
+
*.pkl filter=lfs diff=lfs merge=lfs -text
|
22 |
+
*.pt filter=lfs diff=lfs merge=lfs -text
|
23 |
+
*.pth filter=lfs diff=lfs merge=lfs -text
|
24 |
+
*.rar filter=lfs diff=lfs merge=lfs -text
|
25 |
+
*.safetensors filter=lfs diff=lfs merge=lfs -text
|
26 |
+
saved_model/**/* filter=lfs diff=lfs merge=lfs -text
|
27 |
+
*.tar.* filter=lfs diff=lfs merge=lfs -text
|
28 |
+
*.tflite filter=lfs diff=lfs merge=lfs -text
|
29 |
+
*.tgz filter=lfs diff=lfs merge=lfs -text
|
30 |
+
*.wasm filter=lfs diff=lfs merge=lfs -text
|
31 |
+
*.xz filter=lfs diff=lfs merge=lfs -text
|
32 |
+
*.zip filter=lfs diff=lfs merge=lfs -text
|
33 |
+
*.zst filter=lfs diff=lfs merge=lfs -text
|
34 |
+
*tfevents* filter=lfs diff=lfs merge=lfs -text
|
bloomz-3b-wiki-detector/README.md
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
license: bigscience-openrail-m
|
3 |
+
---
|
bloomz-3b-wiki-detector/config.json
ADDED
@@ -0,0 +1,42 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "bigscience/bloomz-3b",
|
3 |
+
"apply_residual_connection_post_layernorm": false,
|
4 |
+
"architectures": [
|
5 |
+
"BloomForSequenceClassification"
|
6 |
+
],
|
7 |
+
"attention_dropout": 0.0,
|
8 |
+
"attention_softmax_in_fp32": true,
|
9 |
+
"bias_dropout_fusion": true,
|
10 |
+
"bos_token_id": 1,
|
11 |
+
"eos_token_id": 2,
|
12 |
+
"hidden_dropout": 0.0,
|
13 |
+
"hidden_size": 2560,
|
14 |
+
"id2label": {
|
15 |
+
"0": "human-produced",
|
16 |
+
"1": "machine-generated"
|
17 |
+
},
|
18 |
+
"initializer_range": 0.02,
|
19 |
+
"label2id": {
|
20 |
+
"human-produced": 0,
|
21 |
+
"machine-generated": 1
|
22 |
+
},
|
23 |
+
"layer_norm_epsilon": 1e-05,
|
24 |
+
"masked_softmax_fusion": true,
|
25 |
+
"model_type": "bloom",
|
26 |
+
"n_head": 32,
|
27 |
+
"n_inner": null,
|
28 |
+
"n_layer": 30,
|
29 |
+
"offset_alibi": 100,
|
30 |
+
"pad_token_id": 3,
|
31 |
+
"pretraining_tp": 4,
|
32 |
+
"problem_type": "single_label_classification",
|
33 |
+
"seq_length": 2048,
|
34 |
+
"skip_bias_add": true,
|
35 |
+
"skip_bias_add_qkv": false,
|
36 |
+
"slow_but_exact": false,
|
37 |
+
"torch_dtype": "float32",
|
38 |
+
"transformers_version": "4.26.1",
|
39 |
+
"unk_token_id": 0,
|
40 |
+
"use_cache": true,
|
41 |
+
"vocab_size": 250880
|
42 |
+
}
|
bloomz-3b-wiki-detector/optimizer.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:b64001d03fa321c495e3daa63890b33da0456dec15b8ff792051b2ef0cc30860
|
3 |
+
size 24020817451
|
bloomz-3b-wiki-detector/pytorch_model-00001-of-00002.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:7e9c13dd4976bc679fb0101b908151052b22e6179b27a014af6449ebb3eaeeba
|
3 |
+
size 9912311464
|
bloomz-3b-wiki-detector/pytorch_model-00002-of-00002.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:5b1364feace0926ed882f20865804f7772986aec18284c639ef535a9a78bc4a6
|
3 |
+
size 2098070557
|
bloomz-3b-wiki-detector/pytorch_model.bin.index.json
ADDED
@@ -0,0 +1,373 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"metadata": {
|
3 |
+
"total_size": 12010250240
|
4 |
+
},
|
5 |
+
"weight_map": {
|
6 |
+
"score.weight": "pytorch_model-00002-of-00002.bin",
|
7 |
+
"transformer.h.0.input_layernorm.bias": "pytorch_model-00001-of-00002.bin",
|
8 |
+
"transformer.h.0.input_layernorm.weight": "pytorch_model-00001-of-00002.bin",
|
9 |
+
"transformer.h.0.mlp.dense_4h_to_h.bias": "pytorch_model-00001-of-00002.bin",
|
10 |
+
"transformer.h.0.mlp.dense_4h_to_h.weight": "pytorch_model-00001-of-00002.bin",
|
11 |
+
"transformer.h.0.mlp.dense_h_to_4h.bias": "pytorch_model-00001-of-00002.bin",
|
12 |
+
"transformer.h.0.mlp.dense_h_to_4h.weight": "pytorch_model-00001-of-00002.bin",
|
13 |
+
"transformer.h.0.post_attention_layernorm.bias": "pytorch_model-00001-of-00002.bin",
|
14 |
+
"transformer.h.0.post_attention_layernorm.weight": "pytorch_model-00001-of-00002.bin",
|
15 |
+
"transformer.h.0.self_attention.dense.bias": "pytorch_model-00001-of-00002.bin",
|
16 |
+
"transformer.h.0.self_attention.dense.weight": "pytorch_model-00001-of-00002.bin",
|
17 |
+
"transformer.h.0.self_attention.query_key_value.bias": "pytorch_model-00001-of-00002.bin",
|
18 |
+
"transformer.h.0.self_attention.query_key_value.weight": "pytorch_model-00001-of-00002.bin",
|
19 |
+
"transformer.h.1.input_layernorm.bias": "pytorch_model-00001-of-00002.bin",
|
20 |
+
"transformer.h.1.input_layernorm.weight": "pytorch_model-00001-of-00002.bin",
|
21 |
+
"transformer.h.1.mlp.dense_4h_to_h.bias": "pytorch_model-00001-of-00002.bin",
|
22 |
+
"transformer.h.1.mlp.dense_4h_to_h.weight": "pytorch_model-00001-of-00002.bin",
|
23 |
+
"transformer.h.1.mlp.dense_h_to_4h.bias": "pytorch_model-00001-of-00002.bin",
|
24 |
+
"transformer.h.1.mlp.dense_h_to_4h.weight": "pytorch_model-00001-of-00002.bin",
|
25 |
+
"transformer.h.1.post_attention_layernorm.bias": "pytorch_model-00001-of-00002.bin",
|
26 |
+
"transformer.h.1.post_attention_layernorm.weight": "pytorch_model-00001-of-00002.bin",
|
27 |
+
"transformer.h.1.self_attention.dense.bias": "pytorch_model-00001-of-00002.bin",
|
28 |
+
"transformer.h.1.self_attention.dense.weight": "pytorch_model-00001-of-00002.bin",
|
29 |
+
"transformer.h.1.self_attention.query_key_value.bias": "pytorch_model-00001-of-00002.bin",
|
30 |
+
"transformer.h.1.self_attention.query_key_value.weight": "pytorch_model-00001-of-00002.bin",
|
31 |
+
"transformer.h.10.input_layernorm.bias": "pytorch_model-00001-of-00002.bin",
|
32 |
+
"transformer.h.10.input_layernorm.weight": "pytorch_model-00001-of-00002.bin",
|
33 |
+
"transformer.h.10.mlp.dense_4h_to_h.bias": "pytorch_model-00001-of-00002.bin",
|
34 |
+
"transformer.h.10.mlp.dense_4h_to_h.weight": "pytorch_model-00001-of-00002.bin",
|
35 |
+
"transformer.h.10.mlp.dense_h_to_4h.bias": "pytorch_model-00001-of-00002.bin",
|
36 |
+
"transformer.h.10.mlp.dense_h_to_4h.weight": "pytorch_model-00001-of-00002.bin",
|
37 |
+
"transformer.h.10.post_attention_layernorm.bias": "pytorch_model-00001-of-00002.bin",
|
38 |
+
"transformer.h.10.post_attention_layernorm.weight": "pytorch_model-00001-of-00002.bin",
|
39 |
+
"transformer.h.10.self_attention.dense.bias": "pytorch_model-00001-of-00002.bin",
|
40 |
+
"transformer.h.10.self_attention.dense.weight": "pytorch_model-00001-of-00002.bin",
|
41 |
+
"transformer.h.10.self_attention.query_key_value.bias": "pytorch_model-00001-of-00002.bin",
|
42 |
+
"transformer.h.10.self_attention.query_key_value.weight": "pytorch_model-00001-of-00002.bin",
|
43 |
+
"transformer.h.11.input_layernorm.bias": "pytorch_model-00001-of-00002.bin",
|
44 |
+
"transformer.h.11.input_layernorm.weight": "pytorch_model-00001-of-00002.bin",
|
45 |
+
"transformer.h.11.mlp.dense_4h_to_h.bias": "pytorch_model-00001-of-00002.bin",
|
46 |
+
"transformer.h.11.mlp.dense_4h_to_h.weight": "pytorch_model-00001-of-00002.bin",
|
47 |
+
"transformer.h.11.mlp.dense_h_to_4h.bias": "pytorch_model-00001-of-00002.bin",
|
48 |
+
"transformer.h.11.mlp.dense_h_to_4h.weight": "pytorch_model-00001-of-00002.bin",
|
49 |
+
"transformer.h.11.post_attention_layernorm.bias": "pytorch_model-00001-of-00002.bin",
|
50 |
+
"transformer.h.11.post_attention_layernorm.weight": "pytorch_model-00001-of-00002.bin",
|
51 |
+
"transformer.h.11.self_attention.dense.bias": "pytorch_model-00001-of-00002.bin",
|
52 |
+
"transformer.h.11.self_attention.dense.weight": "pytorch_model-00001-of-00002.bin",
|
53 |
+
"transformer.h.11.self_attention.query_key_value.bias": "pytorch_model-00001-of-00002.bin",
|
54 |
+
"transformer.h.11.self_attention.query_key_value.weight": "pytorch_model-00001-of-00002.bin",
|
55 |
+
"transformer.h.12.input_layernorm.bias": "pytorch_model-00001-of-00002.bin",
|
56 |
+
"transformer.h.12.input_layernorm.weight": "pytorch_model-00001-of-00002.bin",
|
57 |
+
"transformer.h.12.mlp.dense_4h_to_h.bias": "pytorch_model-00001-of-00002.bin",
|
58 |
+
"transformer.h.12.mlp.dense_4h_to_h.weight": "pytorch_model-00001-of-00002.bin",
|
59 |
+
"transformer.h.12.mlp.dense_h_to_4h.bias": "pytorch_model-00001-of-00002.bin",
|
60 |
+
"transformer.h.12.mlp.dense_h_to_4h.weight": "pytorch_model-00001-of-00002.bin",
|
61 |
+
"transformer.h.12.post_attention_layernorm.bias": "pytorch_model-00001-of-00002.bin",
|
62 |
+
"transformer.h.12.post_attention_layernorm.weight": "pytorch_model-00001-of-00002.bin",
|
63 |
+
"transformer.h.12.self_attention.dense.bias": "pytorch_model-00001-of-00002.bin",
|
64 |
+
"transformer.h.12.self_attention.dense.weight": "pytorch_model-00001-of-00002.bin",
|
65 |
+
"transformer.h.12.self_attention.query_key_value.bias": "pytorch_model-00001-of-00002.bin",
|
66 |
+
"transformer.h.12.self_attention.query_key_value.weight": "pytorch_model-00001-of-00002.bin",
|
67 |
+
"transformer.h.13.input_layernorm.bias": "pytorch_model-00001-of-00002.bin",
|
68 |
+
"transformer.h.13.input_layernorm.weight": "pytorch_model-00001-of-00002.bin",
|
69 |
+
"transformer.h.13.mlp.dense_4h_to_h.bias": "pytorch_model-00001-of-00002.bin",
|
70 |
+
"transformer.h.13.mlp.dense_4h_to_h.weight": "pytorch_model-00001-of-00002.bin",
|
71 |
+
"transformer.h.13.mlp.dense_h_to_4h.bias": "pytorch_model-00001-of-00002.bin",
|
72 |
+
"transformer.h.13.mlp.dense_h_to_4h.weight": "pytorch_model-00001-of-00002.bin",
|
73 |
+
"transformer.h.13.post_attention_layernorm.bias": "pytorch_model-00001-of-00002.bin",
|
74 |
+
"transformer.h.13.post_attention_layernorm.weight": "pytorch_model-00001-of-00002.bin",
|
75 |
+
"transformer.h.13.self_attention.dense.bias": "pytorch_model-00001-of-00002.bin",
|
76 |
+
"transformer.h.13.self_attention.dense.weight": "pytorch_model-00001-of-00002.bin",
|
77 |
+
"transformer.h.13.self_attention.query_key_value.bias": "pytorch_model-00001-of-00002.bin",
|
78 |
+
"transformer.h.13.self_attention.query_key_value.weight": "pytorch_model-00001-of-00002.bin",
|
79 |
+
"transformer.h.14.input_layernorm.bias": "pytorch_model-00001-of-00002.bin",
|
80 |
+
"transformer.h.14.input_layernorm.weight": "pytorch_model-00001-of-00002.bin",
|
81 |
+
"transformer.h.14.mlp.dense_4h_to_h.bias": "pytorch_model-00001-of-00002.bin",
|
82 |
+
"transformer.h.14.mlp.dense_4h_to_h.weight": "pytorch_model-00001-of-00002.bin",
|
83 |
+
"transformer.h.14.mlp.dense_h_to_4h.bias": "pytorch_model-00001-of-00002.bin",
|
84 |
+
"transformer.h.14.mlp.dense_h_to_4h.weight": "pytorch_model-00001-of-00002.bin",
|
85 |
+
"transformer.h.14.post_attention_layernorm.bias": "pytorch_model-00001-of-00002.bin",
|
86 |
+
"transformer.h.14.post_attention_layernorm.weight": "pytorch_model-00001-of-00002.bin",
|
87 |
+
"transformer.h.14.self_attention.dense.bias": "pytorch_model-00001-of-00002.bin",
|
88 |
+
"transformer.h.14.self_attention.dense.weight": "pytorch_model-00001-of-00002.bin",
|
89 |
+
"transformer.h.14.self_attention.query_key_value.bias": "pytorch_model-00001-of-00002.bin",
|
90 |
+
"transformer.h.14.self_attention.query_key_value.weight": "pytorch_model-00001-of-00002.bin",
|
91 |
+
"transformer.h.15.input_layernorm.bias": "pytorch_model-00001-of-00002.bin",
|
92 |
+
"transformer.h.15.input_layernorm.weight": "pytorch_model-00001-of-00002.bin",
|
93 |
+
"transformer.h.15.mlp.dense_4h_to_h.bias": "pytorch_model-00001-of-00002.bin",
|
94 |
+
"transformer.h.15.mlp.dense_4h_to_h.weight": "pytorch_model-00001-of-00002.bin",
|
95 |
+
"transformer.h.15.mlp.dense_h_to_4h.bias": "pytorch_model-00001-of-00002.bin",
|
96 |
+
"transformer.h.15.mlp.dense_h_to_4h.weight": "pytorch_model-00001-of-00002.bin",
|
97 |
+
"transformer.h.15.post_attention_layernorm.bias": "pytorch_model-00001-of-00002.bin",
|
98 |
+
"transformer.h.15.post_attention_layernorm.weight": "pytorch_model-00001-of-00002.bin",
|
99 |
+
"transformer.h.15.self_attention.dense.bias": "pytorch_model-00001-of-00002.bin",
|
100 |
+
"transformer.h.15.self_attention.dense.weight": "pytorch_model-00001-of-00002.bin",
|
101 |
+
"transformer.h.15.self_attention.query_key_value.bias": "pytorch_model-00001-of-00002.bin",
|
102 |
+
"transformer.h.15.self_attention.query_key_value.weight": "pytorch_model-00001-of-00002.bin",
|
103 |
+
"transformer.h.16.input_layernorm.bias": "pytorch_model-00001-of-00002.bin",
|
104 |
+
"transformer.h.16.input_layernorm.weight": "pytorch_model-00001-of-00002.bin",
|
105 |
+
"transformer.h.16.mlp.dense_4h_to_h.bias": "pytorch_model-00001-of-00002.bin",
|
106 |
+
"transformer.h.16.mlp.dense_4h_to_h.weight": "pytorch_model-00001-of-00002.bin",
|
107 |
+
"transformer.h.16.mlp.dense_h_to_4h.bias": "pytorch_model-00001-of-00002.bin",
|
108 |
+
"transformer.h.16.mlp.dense_h_to_4h.weight": "pytorch_model-00001-of-00002.bin",
|
109 |
+
"transformer.h.16.post_attention_layernorm.bias": "pytorch_model-00001-of-00002.bin",
|
110 |
+
"transformer.h.16.post_attention_layernorm.weight": "pytorch_model-00001-of-00002.bin",
|
111 |
+
"transformer.h.16.self_attention.dense.bias": "pytorch_model-00001-of-00002.bin",
|
112 |
+
"transformer.h.16.self_attention.dense.weight": "pytorch_model-00001-of-00002.bin",
|
113 |
+
"transformer.h.16.self_attention.query_key_value.bias": "pytorch_model-00001-of-00002.bin",
|
114 |
+
"transformer.h.16.self_attention.query_key_value.weight": "pytorch_model-00001-of-00002.bin",
|
115 |
+
"transformer.h.17.input_layernorm.bias": "pytorch_model-00001-of-00002.bin",
|
116 |
+
"transformer.h.17.input_layernorm.weight": "pytorch_model-00001-of-00002.bin",
|
117 |
+
"transformer.h.17.mlp.dense_4h_to_h.bias": "pytorch_model-00001-of-00002.bin",
|
118 |
+
"transformer.h.17.mlp.dense_4h_to_h.weight": "pytorch_model-00001-of-00002.bin",
|
119 |
+
"transformer.h.17.mlp.dense_h_to_4h.bias": "pytorch_model-00001-of-00002.bin",
|
120 |
+
"transformer.h.17.mlp.dense_h_to_4h.weight": "pytorch_model-00001-of-00002.bin",
|
121 |
+
"transformer.h.17.post_attention_layernorm.bias": "pytorch_model-00001-of-00002.bin",
|
122 |
+
"transformer.h.17.post_attention_layernorm.weight": "pytorch_model-00001-of-00002.bin",
|
123 |
+
"transformer.h.17.self_attention.dense.bias": "pytorch_model-00001-of-00002.bin",
|
124 |
+
"transformer.h.17.self_attention.dense.weight": "pytorch_model-00001-of-00002.bin",
|
125 |
+
"transformer.h.17.self_attention.query_key_value.bias": "pytorch_model-00001-of-00002.bin",
|
126 |
+
"transformer.h.17.self_attention.query_key_value.weight": "pytorch_model-00001-of-00002.bin",
|
127 |
+
"transformer.h.18.input_layernorm.bias": "pytorch_model-00001-of-00002.bin",
|
128 |
+
"transformer.h.18.input_layernorm.weight": "pytorch_model-00001-of-00002.bin",
|
129 |
+
"transformer.h.18.mlp.dense_4h_to_h.bias": "pytorch_model-00001-of-00002.bin",
|
130 |
+
"transformer.h.18.mlp.dense_4h_to_h.weight": "pytorch_model-00001-of-00002.bin",
|
131 |
+
"transformer.h.18.mlp.dense_h_to_4h.bias": "pytorch_model-00001-of-00002.bin",
|
132 |
+
"transformer.h.18.mlp.dense_h_to_4h.weight": "pytorch_model-00001-of-00002.bin",
|
133 |
+
"transformer.h.18.post_attention_layernorm.bias": "pytorch_model-00001-of-00002.bin",
|
134 |
+
"transformer.h.18.post_attention_layernorm.weight": "pytorch_model-00001-of-00002.bin",
|
135 |
+
"transformer.h.18.self_attention.dense.bias": "pytorch_model-00001-of-00002.bin",
|
136 |
+
"transformer.h.18.self_attention.dense.weight": "pytorch_model-00001-of-00002.bin",
|
137 |
+
"transformer.h.18.self_attention.query_key_value.bias": "pytorch_model-00001-of-00002.bin",
|
138 |
+
"transformer.h.18.self_attention.query_key_value.weight": "pytorch_model-00001-of-00002.bin",
|
139 |
+
"transformer.h.19.input_layernorm.bias": "pytorch_model-00001-of-00002.bin",
|
140 |
+
"transformer.h.19.input_layernorm.weight": "pytorch_model-00001-of-00002.bin",
|
141 |
+
"transformer.h.19.mlp.dense_4h_to_h.bias": "pytorch_model-00001-of-00002.bin",
|
142 |
+
"transformer.h.19.mlp.dense_4h_to_h.weight": "pytorch_model-00001-of-00002.bin",
|
143 |
+
"transformer.h.19.mlp.dense_h_to_4h.bias": "pytorch_model-00001-of-00002.bin",
|
144 |
+
"transformer.h.19.mlp.dense_h_to_4h.weight": "pytorch_model-00001-of-00002.bin",
|
145 |
+
"transformer.h.19.post_attention_layernorm.bias": "pytorch_model-00001-of-00002.bin",
|
146 |
+
"transformer.h.19.post_attention_layernorm.weight": "pytorch_model-00001-of-00002.bin",
|
147 |
+
"transformer.h.19.self_attention.dense.bias": "pytorch_model-00001-of-00002.bin",
|
148 |
+
"transformer.h.19.self_attention.dense.weight": "pytorch_model-00001-of-00002.bin",
|
149 |
+
"transformer.h.19.self_attention.query_key_value.bias": "pytorch_model-00001-of-00002.bin",
|
150 |
+
"transformer.h.19.self_attention.query_key_value.weight": "pytorch_model-00001-of-00002.bin",
|
151 |
+
"transformer.h.2.input_layernorm.bias": "pytorch_model-00001-of-00002.bin",
|
152 |
+
"transformer.h.2.input_layernorm.weight": "pytorch_model-00001-of-00002.bin",
|
153 |
+
"transformer.h.2.mlp.dense_4h_to_h.bias": "pytorch_model-00001-of-00002.bin",
|
154 |
+
"transformer.h.2.mlp.dense_4h_to_h.weight": "pytorch_model-00001-of-00002.bin",
|
155 |
+
"transformer.h.2.mlp.dense_h_to_4h.bias": "pytorch_model-00001-of-00002.bin",
|
156 |
+
"transformer.h.2.mlp.dense_h_to_4h.weight": "pytorch_model-00001-of-00002.bin",
|
157 |
+
"transformer.h.2.post_attention_layernorm.bias": "pytorch_model-00001-of-00002.bin",
|
158 |
+
"transformer.h.2.post_attention_layernorm.weight": "pytorch_model-00001-of-00002.bin",
|
159 |
+
"transformer.h.2.self_attention.dense.bias": "pytorch_model-00001-of-00002.bin",
|
160 |
+
"transformer.h.2.self_attention.dense.weight": "pytorch_model-00001-of-00002.bin",
|
161 |
+
"transformer.h.2.self_attention.query_key_value.bias": "pytorch_model-00001-of-00002.bin",
|
162 |
+
"transformer.h.2.self_attention.query_key_value.weight": "pytorch_model-00001-of-00002.bin",
|
163 |
+
"transformer.h.20.input_layernorm.bias": "pytorch_model-00001-of-00002.bin",
|
164 |
+
"transformer.h.20.input_layernorm.weight": "pytorch_model-00001-of-00002.bin",
|
165 |
+
"transformer.h.20.mlp.dense_4h_to_h.bias": "pytorch_model-00001-of-00002.bin",
|
166 |
+
"transformer.h.20.mlp.dense_4h_to_h.weight": "pytorch_model-00001-of-00002.bin",
|
167 |
+
"transformer.h.20.mlp.dense_h_to_4h.bias": "pytorch_model-00001-of-00002.bin",
|
168 |
+
"transformer.h.20.mlp.dense_h_to_4h.weight": "pytorch_model-00001-of-00002.bin",
|
169 |
+
"transformer.h.20.post_attention_layernorm.bias": "pytorch_model-00001-of-00002.bin",
|
170 |
+
"transformer.h.20.post_attention_layernorm.weight": "pytorch_model-00001-of-00002.bin",
|
171 |
+
"transformer.h.20.self_attention.dense.bias": "pytorch_model-00001-of-00002.bin",
|
172 |
+
"transformer.h.20.self_attention.dense.weight": "pytorch_model-00001-of-00002.bin",
|
173 |
+
"transformer.h.20.self_attention.query_key_value.bias": "pytorch_model-00001-of-00002.bin",
|
174 |
+
"transformer.h.20.self_attention.query_key_value.weight": "pytorch_model-00001-of-00002.bin",
|
175 |
+
"transformer.h.21.input_layernorm.bias": "pytorch_model-00001-of-00002.bin",
|
176 |
+
"transformer.h.21.input_layernorm.weight": "pytorch_model-00001-of-00002.bin",
|
177 |
+
"transformer.h.21.mlp.dense_4h_to_h.bias": "pytorch_model-00001-of-00002.bin",
|
178 |
+
"transformer.h.21.mlp.dense_4h_to_h.weight": "pytorch_model-00001-of-00002.bin",
|
179 |
+
"transformer.h.21.mlp.dense_h_to_4h.bias": "pytorch_model-00001-of-00002.bin",
|
180 |
+
"transformer.h.21.mlp.dense_h_to_4h.weight": "pytorch_model-00001-of-00002.bin",
|
181 |
+
"transformer.h.21.post_attention_layernorm.bias": "pytorch_model-00001-of-00002.bin",
|
182 |
+
"transformer.h.21.post_attention_layernorm.weight": "pytorch_model-00001-of-00002.bin",
|
183 |
+
"transformer.h.21.self_attention.dense.bias": "pytorch_model-00001-of-00002.bin",
|
184 |
+
"transformer.h.21.self_attention.dense.weight": "pytorch_model-00001-of-00002.bin",
|
185 |
+
"transformer.h.21.self_attention.query_key_value.bias": "pytorch_model-00001-of-00002.bin",
|
186 |
+
"transformer.h.21.self_attention.query_key_value.weight": "pytorch_model-00001-of-00002.bin",
|
187 |
+
"transformer.h.22.input_layernorm.bias": "pytorch_model-00001-of-00002.bin",
|
188 |
+
"transformer.h.22.input_layernorm.weight": "pytorch_model-00001-of-00002.bin",
|
189 |
+
"transformer.h.22.mlp.dense_4h_to_h.bias": "pytorch_model-00001-of-00002.bin",
|
190 |
+
"transformer.h.22.mlp.dense_4h_to_h.weight": "pytorch_model-00001-of-00002.bin",
|
191 |
+
"transformer.h.22.mlp.dense_h_to_4h.bias": "pytorch_model-00001-of-00002.bin",
|
192 |
+
"transformer.h.22.mlp.dense_h_to_4h.weight": "pytorch_model-00001-of-00002.bin",
|
193 |
+
"transformer.h.22.post_attention_layernorm.bias": "pytorch_model-00001-of-00002.bin",
|
194 |
+
"transformer.h.22.post_attention_layernorm.weight": "pytorch_model-00001-of-00002.bin",
|
195 |
+
"transformer.h.22.self_attention.dense.bias": "pytorch_model-00001-of-00002.bin",
|
196 |
+
"transformer.h.22.self_attention.dense.weight": "pytorch_model-00001-of-00002.bin",
|
197 |
+
"transformer.h.22.self_attention.query_key_value.bias": "pytorch_model-00001-of-00002.bin",
|
198 |
+
"transformer.h.22.self_attention.query_key_value.weight": "pytorch_model-00001-of-00002.bin",
|
199 |
+
"transformer.h.23.input_layernorm.bias": "pytorch_model-00001-of-00002.bin",
|
200 |
+
"transformer.h.23.input_layernorm.weight": "pytorch_model-00001-of-00002.bin",
|
201 |
+
"transformer.h.23.mlp.dense_4h_to_h.bias": "pytorch_model-00002-of-00002.bin",
|
202 |
+
"transformer.h.23.mlp.dense_4h_to_h.weight": "pytorch_model-00002-of-00002.bin",
|
203 |
+
"transformer.h.23.mlp.dense_h_to_4h.bias": "pytorch_model-00002-of-00002.bin",
|
204 |
+
"transformer.h.23.mlp.dense_h_to_4h.weight": "pytorch_model-00002-of-00002.bin",
|
205 |
+
"transformer.h.23.post_attention_layernorm.bias": "pytorch_model-00001-of-00002.bin",
|
206 |
+
"transformer.h.23.post_attention_layernorm.weight": "pytorch_model-00001-of-00002.bin",
|
207 |
+
"transformer.h.23.self_attention.dense.bias": "pytorch_model-00001-of-00002.bin",
|
208 |
+
"transformer.h.23.self_attention.dense.weight": "pytorch_model-00001-of-00002.bin",
|
209 |
+
"transformer.h.23.self_attention.query_key_value.bias": "pytorch_model-00001-of-00002.bin",
|
210 |
+
"transformer.h.23.self_attention.query_key_value.weight": "pytorch_model-00001-of-00002.bin",
|
211 |
+
"transformer.h.24.input_layernorm.bias": "pytorch_model-00002-of-00002.bin",
|
212 |
+
"transformer.h.24.input_layernorm.weight": "pytorch_model-00002-of-00002.bin",
|
213 |
+
"transformer.h.24.mlp.dense_4h_to_h.bias": "pytorch_model-00002-of-00002.bin",
|
214 |
+
"transformer.h.24.mlp.dense_4h_to_h.weight": "pytorch_model-00002-of-00002.bin",
|
215 |
+
"transformer.h.24.mlp.dense_h_to_4h.bias": "pytorch_model-00002-of-00002.bin",
|
216 |
+
"transformer.h.24.mlp.dense_h_to_4h.weight": "pytorch_model-00002-of-00002.bin",
|
217 |
+
"transformer.h.24.post_attention_layernorm.bias": "pytorch_model-00002-of-00002.bin",
|
218 |
+
"transformer.h.24.post_attention_layernorm.weight": "pytorch_model-00002-of-00002.bin",
|
219 |
+
"transformer.h.24.self_attention.dense.bias": "pytorch_model-00002-of-00002.bin",
|
220 |
+
"transformer.h.24.self_attention.dense.weight": "pytorch_model-00002-of-00002.bin",
|
221 |
+
"transformer.h.24.self_attention.query_key_value.bias": "pytorch_model-00002-of-00002.bin",
|
222 |
+
"transformer.h.24.self_attention.query_key_value.weight": "pytorch_model-00002-of-00002.bin",
|
223 |
+
"transformer.h.25.input_layernorm.bias": "pytorch_model-00002-of-00002.bin",
|
224 |
+
"transformer.h.25.input_layernorm.weight": "pytorch_model-00002-of-00002.bin",
|
225 |
+
"transformer.h.25.mlp.dense_4h_to_h.bias": "pytorch_model-00002-of-00002.bin",
|
226 |
+
"transformer.h.25.mlp.dense_4h_to_h.weight": "pytorch_model-00002-of-00002.bin",
|
227 |
+
"transformer.h.25.mlp.dense_h_to_4h.bias": "pytorch_model-00002-of-00002.bin",
|
228 |
+
"transformer.h.25.mlp.dense_h_to_4h.weight": "pytorch_model-00002-of-00002.bin",
|
229 |
+
"transformer.h.25.post_attention_layernorm.bias": "pytorch_model-00002-of-00002.bin",
|
230 |
+
"transformer.h.25.post_attention_layernorm.weight": "pytorch_model-00002-of-00002.bin",
|
231 |
+
"transformer.h.25.self_attention.dense.bias": "pytorch_model-00002-of-00002.bin",
|
232 |
+
"transformer.h.25.self_attention.dense.weight": "pytorch_model-00002-of-00002.bin",
|
233 |
+
"transformer.h.25.self_attention.query_key_value.bias": "pytorch_model-00002-of-00002.bin",
|
234 |
+
"transformer.h.25.self_attention.query_key_value.weight": "pytorch_model-00002-of-00002.bin",
|
235 |
+
"transformer.h.26.input_layernorm.bias": "pytorch_model-00002-of-00002.bin",
|
236 |
+
"transformer.h.26.input_layernorm.weight": "pytorch_model-00002-of-00002.bin",
|
237 |
+
"transformer.h.26.mlp.dense_4h_to_h.bias": "pytorch_model-00002-of-00002.bin",
|
238 |
+
"transformer.h.26.mlp.dense_4h_to_h.weight": "pytorch_model-00002-of-00002.bin",
|
239 |
+
"transformer.h.26.mlp.dense_h_to_4h.bias": "pytorch_model-00002-of-00002.bin",
|
240 |
+
"transformer.h.26.mlp.dense_h_to_4h.weight": "pytorch_model-00002-of-00002.bin",
|
241 |
+
"transformer.h.26.post_attention_layernorm.bias": "pytorch_model-00002-of-00002.bin",
|
242 |
+
"transformer.h.26.post_attention_layernorm.weight": "pytorch_model-00002-of-00002.bin",
|
243 |
+
"transformer.h.26.self_attention.dense.bias": "pytorch_model-00002-of-00002.bin",
|
244 |
+
"transformer.h.26.self_attention.dense.weight": "pytorch_model-00002-of-00002.bin",
|
245 |
+
"transformer.h.26.self_attention.query_key_value.bias": "pytorch_model-00002-of-00002.bin",
|
246 |
+
"transformer.h.26.self_attention.query_key_value.weight": "pytorch_model-00002-of-00002.bin",
|
247 |
+
"transformer.h.27.input_layernorm.bias": "pytorch_model-00002-of-00002.bin",
|
248 |
+
"transformer.h.27.input_layernorm.weight": "pytorch_model-00002-of-00002.bin",
|
249 |
+
"transformer.h.27.mlp.dense_4h_to_h.bias": "pytorch_model-00002-of-00002.bin",
|
250 |
+
"transformer.h.27.mlp.dense_4h_to_h.weight": "pytorch_model-00002-of-00002.bin",
|
251 |
+
"transformer.h.27.mlp.dense_h_to_4h.bias": "pytorch_model-00002-of-00002.bin",
|
252 |
+
"transformer.h.27.mlp.dense_h_to_4h.weight": "pytorch_model-00002-of-00002.bin",
|
253 |
+
"transformer.h.27.post_attention_layernorm.bias": "pytorch_model-00002-of-00002.bin",
|
254 |
+
"transformer.h.27.post_attention_layernorm.weight": "pytorch_model-00002-of-00002.bin",
|
255 |
+
"transformer.h.27.self_attention.dense.bias": "pytorch_model-00002-of-00002.bin",
|
256 |
+
"transformer.h.27.self_attention.dense.weight": "pytorch_model-00002-of-00002.bin",
|
257 |
+
"transformer.h.27.self_attention.query_key_value.bias": "pytorch_model-00002-of-00002.bin",
|
258 |
+
"transformer.h.27.self_attention.query_key_value.weight": "pytorch_model-00002-of-00002.bin",
|
259 |
+
"transformer.h.28.input_layernorm.bias": "pytorch_model-00002-of-00002.bin",
|
260 |
+
"transformer.h.28.input_layernorm.weight": "pytorch_model-00002-of-00002.bin",
|
261 |
+
"transformer.h.28.mlp.dense_4h_to_h.bias": "pytorch_model-00002-of-00002.bin",
|
262 |
+
"transformer.h.28.mlp.dense_4h_to_h.weight": "pytorch_model-00002-of-00002.bin",
|
263 |
+
"transformer.h.28.mlp.dense_h_to_4h.bias": "pytorch_model-00002-of-00002.bin",
|
264 |
+
"transformer.h.28.mlp.dense_h_to_4h.weight": "pytorch_model-00002-of-00002.bin",
|
265 |
+
"transformer.h.28.post_attention_layernorm.bias": "pytorch_model-00002-of-00002.bin",
|
266 |
+
"transformer.h.28.post_attention_layernorm.weight": "pytorch_model-00002-of-00002.bin",
|
267 |
+
"transformer.h.28.self_attention.dense.bias": "pytorch_model-00002-of-00002.bin",
|
268 |
+
"transformer.h.28.self_attention.dense.weight": "pytorch_model-00002-of-00002.bin",
|
269 |
+
"transformer.h.28.self_attention.query_key_value.bias": "pytorch_model-00002-of-00002.bin",
|
270 |
+
"transformer.h.28.self_attention.query_key_value.weight": "pytorch_model-00002-of-00002.bin",
|
271 |
+
"transformer.h.29.input_layernorm.bias": "pytorch_model-00002-of-00002.bin",
|
272 |
+
"transformer.h.29.input_layernorm.weight": "pytorch_model-00002-of-00002.bin",
|
273 |
+
"transformer.h.29.mlp.dense_4h_to_h.bias": "pytorch_model-00002-of-00002.bin",
|
274 |
+
"transformer.h.29.mlp.dense_4h_to_h.weight": "pytorch_model-00002-of-00002.bin",
|
275 |
+
"transformer.h.29.mlp.dense_h_to_4h.bias": "pytorch_model-00002-of-00002.bin",
|
276 |
+
"transformer.h.29.mlp.dense_h_to_4h.weight": "pytorch_model-00002-of-00002.bin",
|
277 |
+
"transformer.h.29.post_attention_layernorm.bias": "pytorch_model-00002-of-00002.bin",
|
278 |
+
"transformer.h.29.post_attention_layernorm.weight": "pytorch_model-00002-of-00002.bin",
|
279 |
+
"transformer.h.29.self_attention.dense.bias": "pytorch_model-00002-of-00002.bin",
|
280 |
+
"transformer.h.29.self_attention.dense.weight": "pytorch_model-00002-of-00002.bin",
|
281 |
+
"transformer.h.29.self_attention.query_key_value.bias": "pytorch_model-00002-of-00002.bin",
|
282 |
+
"transformer.h.29.self_attention.query_key_value.weight": "pytorch_model-00002-of-00002.bin",
|
283 |
+
"transformer.h.3.input_layernorm.bias": "pytorch_model-00001-of-00002.bin",
|
284 |
+
"transformer.h.3.input_layernorm.weight": "pytorch_model-00001-of-00002.bin",
|
285 |
+
"transformer.h.3.mlp.dense_4h_to_h.bias": "pytorch_model-00001-of-00002.bin",
|
286 |
+
"transformer.h.3.mlp.dense_4h_to_h.weight": "pytorch_model-00001-of-00002.bin",
|
287 |
+
"transformer.h.3.mlp.dense_h_to_4h.bias": "pytorch_model-00001-of-00002.bin",
|
288 |
+
"transformer.h.3.mlp.dense_h_to_4h.weight": "pytorch_model-00001-of-00002.bin",
|
289 |
+
"transformer.h.3.post_attention_layernorm.bias": "pytorch_model-00001-of-00002.bin",
|
290 |
+
"transformer.h.3.post_attention_layernorm.weight": "pytorch_model-00001-of-00002.bin",
|
291 |
+
"transformer.h.3.self_attention.dense.bias": "pytorch_model-00001-of-00002.bin",
|
292 |
+
"transformer.h.3.self_attention.dense.weight": "pytorch_model-00001-of-00002.bin",
|
293 |
+
"transformer.h.3.self_attention.query_key_value.bias": "pytorch_model-00001-of-00002.bin",
|
294 |
+
"transformer.h.3.self_attention.query_key_value.weight": "pytorch_model-00001-of-00002.bin",
|
295 |
+
"transformer.h.4.input_layernorm.bias": "pytorch_model-00001-of-00002.bin",
|
296 |
+
"transformer.h.4.input_layernorm.weight": "pytorch_model-00001-of-00002.bin",
|
297 |
+
"transformer.h.4.mlp.dense_4h_to_h.bias": "pytorch_model-00001-of-00002.bin",
|
298 |
+
"transformer.h.4.mlp.dense_4h_to_h.weight": "pytorch_model-00001-of-00002.bin",
|
299 |
+
"transformer.h.4.mlp.dense_h_to_4h.bias": "pytorch_model-00001-of-00002.bin",
|
300 |
+
"transformer.h.4.mlp.dense_h_to_4h.weight": "pytorch_model-00001-of-00002.bin",
|
301 |
+
"transformer.h.4.post_attention_layernorm.bias": "pytorch_model-00001-of-00002.bin",
|
302 |
+
"transformer.h.4.post_attention_layernorm.weight": "pytorch_model-00001-of-00002.bin",
|
303 |
+
"transformer.h.4.self_attention.dense.bias": "pytorch_model-00001-of-00002.bin",
|
304 |
+
"transformer.h.4.self_attention.dense.weight": "pytorch_model-00001-of-00002.bin",
|
305 |
+
"transformer.h.4.self_attention.query_key_value.bias": "pytorch_model-00001-of-00002.bin",
|
306 |
+
"transformer.h.4.self_attention.query_key_value.weight": "pytorch_model-00001-of-00002.bin",
|
307 |
+
"transformer.h.5.input_layernorm.bias": "pytorch_model-00001-of-00002.bin",
|
308 |
+
"transformer.h.5.input_layernorm.weight": "pytorch_model-00001-of-00002.bin",
|
309 |
+
"transformer.h.5.mlp.dense_4h_to_h.bias": "pytorch_model-00001-of-00002.bin",
|
310 |
+
"transformer.h.5.mlp.dense_4h_to_h.weight": "pytorch_model-00001-of-00002.bin",
|
311 |
+
"transformer.h.5.mlp.dense_h_to_4h.bias": "pytorch_model-00001-of-00002.bin",
|
312 |
+
"transformer.h.5.mlp.dense_h_to_4h.weight": "pytorch_model-00001-of-00002.bin",
|
313 |
+
"transformer.h.5.post_attention_layernorm.bias": "pytorch_model-00001-of-00002.bin",
|
314 |
+
"transformer.h.5.post_attention_layernorm.weight": "pytorch_model-00001-of-00002.bin",
|
315 |
+
"transformer.h.5.self_attention.dense.bias": "pytorch_model-00001-of-00002.bin",
|
316 |
+
"transformer.h.5.self_attention.dense.weight": "pytorch_model-00001-of-00002.bin",
|
317 |
+
"transformer.h.5.self_attention.query_key_value.bias": "pytorch_model-00001-of-00002.bin",
|
318 |
+
"transformer.h.5.self_attention.query_key_value.weight": "pytorch_model-00001-of-00002.bin",
|
319 |
+
"transformer.h.6.input_layernorm.bias": "pytorch_model-00001-of-00002.bin",
|
320 |
+
"transformer.h.6.input_layernorm.weight": "pytorch_model-00001-of-00002.bin",
|
321 |
+
"transformer.h.6.mlp.dense_4h_to_h.bias": "pytorch_model-00001-of-00002.bin",
|
322 |
+
"transformer.h.6.mlp.dense_4h_to_h.weight": "pytorch_model-00001-of-00002.bin",
|
323 |
+
"transformer.h.6.mlp.dense_h_to_4h.bias": "pytorch_model-00001-of-00002.bin",
|
324 |
+
"transformer.h.6.mlp.dense_h_to_4h.weight": "pytorch_model-00001-of-00002.bin",
|
325 |
+
"transformer.h.6.post_attention_layernorm.bias": "pytorch_model-00001-of-00002.bin",
|
326 |
+
"transformer.h.6.post_attention_layernorm.weight": "pytorch_model-00001-of-00002.bin",
|
327 |
+
"transformer.h.6.self_attention.dense.bias": "pytorch_model-00001-of-00002.bin",
|
328 |
+
"transformer.h.6.self_attention.dense.weight": "pytorch_model-00001-of-00002.bin",
|
329 |
+
"transformer.h.6.self_attention.query_key_value.bias": "pytorch_model-00001-of-00002.bin",
|
330 |
+
"transformer.h.6.self_attention.query_key_value.weight": "pytorch_model-00001-of-00002.bin",
|
331 |
+
"transformer.h.7.input_layernorm.bias": "pytorch_model-00001-of-00002.bin",
|
332 |
+
"transformer.h.7.input_layernorm.weight": "pytorch_model-00001-of-00002.bin",
|
333 |
+
"transformer.h.7.mlp.dense_4h_to_h.bias": "pytorch_model-00001-of-00002.bin",
|
334 |
+
"transformer.h.7.mlp.dense_4h_to_h.weight": "pytorch_model-00001-of-00002.bin",
|
335 |
+
"transformer.h.7.mlp.dense_h_to_4h.bias": "pytorch_model-00001-of-00002.bin",
|
336 |
+
"transformer.h.7.mlp.dense_h_to_4h.weight": "pytorch_model-00001-of-00002.bin",
|
337 |
+
"transformer.h.7.post_attention_layernorm.bias": "pytorch_model-00001-of-00002.bin",
|
338 |
+
"transformer.h.7.post_attention_layernorm.weight": "pytorch_model-00001-of-00002.bin",
|
339 |
+
"transformer.h.7.self_attention.dense.bias": "pytorch_model-00001-of-00002.bin",
|
340 |
+
"transformer.h.7.self_attention.dense.weight": "pytorch_model-00001-of-00002.bin",
|
341 |
+
"transformer.h.7.self_attention.query_key_value.bias": "pytorch_model-00001-of-00002.bin",
|
342 |
+
"transformer.h.7.self_attention.query_key_value.weight": "pytorch_model-00001-of-00002.bin",
|
343 |
+
"transformer.h.8.input_layernorm.bias": "pytorch_model-00001-of-00002.bin",
|
344 |
+
"transformer.h.8.input_layernorm.weight": "pytorch_model-00001-of-00002.bin",
|
345 |
+
"transformer.h.8.mlp.dense_4h_to_h.bias": "pytorch_model-00001-of-00002.bin",
|
346 |
+
"transformer.h.8.mlp.dense_4h_to_h.weight": "pytorch_model-00001-of-00002.bin",
|
347 |
+
"transformer.h.8.mlp.dense_h_to_4h.bias": "pytorch_model-00001-of-00002.bin",
|
348 |
+
"transformer.h.8.mlp.dense_h_to_4h.weight": "pytorch_model-00001-of-00002.bin",
|
349 |
+
"transformer.h.8.post_attention_layernorm.bias": "pytorch_model-00001-of-00002.bin",
|
350 |
+
"transformer.h.8.post_attention_layernorm.weight": "pytorch_model-00001-of-00002.bin",
|
351 |
+
"transformer.h.8.self_attention.dense.bias": "pytorch_model-00001-of-00002.bin",
|
352 |
+
"transformer.h.8.self_attention.dense.weight": "pytorch_model-00001-of-00002.bin",
|
353 |
+
"transformer.h.8.self_attention.query_key_value.bias": "pytorch_model-00001-of-00002.bin",
|
354 |
+
"transformer.h.8.self_attention.query_key_value.weight": "pytorch_model-00001-of-00002.bin",
|
355 |
+
"transformer.h.9.input_layernorm.bias": "pytorch_model-00001-of-00002.bin",
|
356 |
+
"transformer.h.9.input_layernorm.weight": "pytorch_model-00001-of-00002.bin",
|
357 |
+
"transformer.h.9.mlp.dense_4h_to_h.bias": "pytorch_model-00001-of-00002.bin",
|
358 |
+
"transformer.h.9.mlp.dense_4h_to_h.weight": "pytorch_model-00001-of-00002.bin",
|
359 |
+
"transformer.h.9.mlp.dense_h_to_4h.bias": "pytorch_model-00001-of-00002.bin",
|
360 |
+
"transformer.h.9.mlp.dense_h_to_4h.weight": "pytorch_model-00001-of-00002.bin",
|
361 |
+
"transformer.h.9.post_attention_layernorm.bias": "pytorch_model-00001-of-00002.bin",
|
362 |
+
"transformer.h.9.post_attention_layernorm.weight": "pytorch_model-00001-of-00002.bin",
|
363 |
+
"transformer.h.9.self_attention.dense.bias": "pytorch_model-00001-of-00002.bin",
|
364 |
+
"transformer.h.9.self_attention.dense.weight": "pytorch_model-00001-of-00002.bin",
|
365 |
+
"transformer.h.9.self_attention.query_key_value.bias": "pytorch_model-00001-of-00002.bin",
|
366 |
+
"transformer.h.9.self_attention.query_key_value.weight": "pytorch_model-00001-of-00002.bin",
|
367 |
+
"transformer.ln_f.bias": "pytorch_model-00002-of-00002.bin",
|
368 |
+
"transformer.ln_f.weight": "pytorch_model-00002-of-00002.bin",
|
369 |
+
"transformer.word_embeddings.weight": "pytorch_model-00001-of-00002.bin",
|
370 |
+
"transformer.word_embeddings_layernorm.bias": "pytorch_model-00001-of-00002.bin",
|
371 |
+
"transformer.word_embeddings_layernorm.weight": "pytorch_model-00001-of-00002.bin"
|
372 |
+
}
|
373 |
+
}
|
bloomz-3b-wiki-detector/rng_state.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:a3b02872efa9b22fa22f4deee5fb41af138889bf8a548937b6683ecfa852526b
|
3 |
+
size 14575
|
bloomz-3b-wiki-detector/scheduler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:9968ee36f5a3dc05d57e9af7404cae1954951f16b3829b648a9ef3496e8c5388
|
3 |
+
size 627
|
bloomz-3b-wiki-detector/special_tokens_map.json
ADDED
@@ -0,0 +1,6 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"bos_token": "<s>",
|
3 |
+
"eos_token": "</s>",
|
4 |
+
"pad_token": "<pad>",
|
5 |
+
"unk_token": "<unk>"
|
6 |
+
}
|
bloomz-3b-wiki-detector/tokenizer.json
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:a3955d17bdf8285663734ab4418c7a0d6397bf2fa7d7a2f8d820f23b3130cd48
|
3 |
+
size 14500708
|
bloomz-3b-wiki-detector/tokenizer_config.json
ADDED
@@ -0,0 +1,11 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"add_prefix_space": false,
|
3 |
+
"bos_token": "<s>",
|
4 |
+
"eos_token": "</s>",
|
5 |
+
"model_max_length": 1000000000000000019884624838656,
|
6 |
+
"name_or_path": "bigscience/bloomz-3b",
|
7 |
+
"pad_token": "<pad>",
|
8 |
+
"special_tokens_map_file": null,
|
9 |
+
"tokenizer_class": "BloomTokenizer",
|
10 |
+
"unk_token": "<unk>"
|
11 |
+
}
|
bloomz-3b-wiki-detector/trainer_state.json
ADDED
@@ -0,0 +1,958 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": null,
|
3 |
+
"best_model_checkpoint": null,
|
4 |
+
"epoch": 1.0,
|
5 |
+
"global_step": 525,
|
6 |
+
"is_hyper_param_search": false,
|
7 |
+
"is_local_process_zero": true,
|
8 |
+
"is_world_process_zero": true,
|
9 |
+
"log_history": [
|
10 |
+
{
|
11 |
+
"epoch": 0.0,
|
12 |
+
"learning_rate": 4.990476190476191e-05,
|
13 |
+
"loss": 5.664,
|
14 |
+
"step": 1
|
15 |
+
},
|
16 |
+
{
|
17 |
+
"epoch": 0.02,
|
18 |
+
"learning_rate": 4.904761904761905e-05,
|
19 |
+
"loss": 9.846,
|
20 |
+
"step": 10
|
21 |
+
},
|
22 |
+
{
|
23 |
+
"epoch": 0.02,
|
24 |
+
"eval_accuracy": 0.5555555555555556,
|
25 |
+
"eval_f1": 0.21875,
|
26 |
+
"eval_loss": 2.4790709018707275,
|
27 |
+
"eval_precision": 0.9032258064516129,
|
28 |
+
"eval_recall": 0.12444444444444444,
|
29 |
+
"eval_runtime": 140.7243,
|
30 |
+
"eval_samples_per_second": 6.395,
|
31 |
+
"eval_steps_per_second": 0.803,
|
32 |
+
"step": 10
|
33 |
+
},
|
34 |
+
{
|
35 |
+
"epoch": 0.04,
|
36 |
+
"learning_rate": 4.80952380952381e-05,
|
37 |
+
"loss": 1.7358,
|
38 |
+
"step": 20
|
39 |
+
},
|
40 |
+
{
|
41 |
+
"epoch": 0.04,
|
42 |
+
"eval_accuracy": 0.5,
|
43 |
+
"eval_f1": 0.6666666666666666,
|
44 |
+
"eval_loss": 3.0108251571655273,
|
45 |
+
"eval_precision": 0.5,
|
46 |
+
"eval_recall": 1.0,
|
47 |
+
"eval_runtime": 141.288,
|
48 |
+
"eval_samples_per_second": 6.37,
|
49 |
+
"eval_steps_per_second": 0.8,
|
50 |
+
"step": 20
|
51 |
+
},
|
52 |
+
{
|
53 |
+
"epoch": 0.06,
|
54 |
+
"learning_rate": 4.714285714285714e-05,
|
55 |
+
"loss": 1.297,
|
56 |
+
"step": 30
|
57 |
+
},
|
58 |
+
{
|
59 |
+
"epoch": 0.06,
|
60 |
+
"eval_accuracy": 0.7755555555555556,
|
61 |
+
"eval_f1": 0.8133086876155268,
|
62 |
+
"eval_loss": 0.4418047368526459,
|
63 |
+
"eval_precision": 0.6962025316455697,
|
64 |
+
"eval_recall": 0.9777777777777777,
|
65 |
+
"eval_runtime": 141.1286,
|
66 |
+
"eval_samples_per_second": 6.377,
|
67 |
+
"eval_steps_per_second": 0.801,
|
68 |
+
"step": 30
|
69 |
+
},
|
70 |
+
{
|
71 |
+
"epoch": 0.08,
|
72 |
+
"learning_rate": 4.6190476190476194e-05,
|
73 |
+
"loss": 0.553,
|
74 |
+
"step": 40
|
75 |
+
},
|
76 |
+
{
|
77 |
+
"epoch": 0.08,
|
78 |
+
"eval_accuracy": 0.7233333333333334,
|
79 |
+
"eval_f1": 0.782532751091703,
|
80 |
+
"eval_loss": 1.0572720766067505,
|
81 |
+
"eval_precision": 0.6446043165467625,
|
82 |
+
"eval_recall": 0.9955555555555555,
|
83 |
+
"eval_runtime": 141.1362,
|
84 |
+
"eval_samples_per_second": 6.377,
|
85 |
+
"eval_steps_per_second": 0.801,
|
86 |
+
"step": 40
|
87 |
+
},
|
88 |
+
{
|
89 |
+
"epoch": 0.1,
|
90 |
+
"learning_rate": 4.523809523809524e-05,
|
91 |
+
"loss": 0.4696,
|
92 |
+
"step": 50
|
93 |
+
},
|
94 |
+
{
|
95 |
+
"epoch": 0.1,
|
96 |
+
"eval_accuracy": 0.9922222222222222,
|
97 |
+
"eval_f1": 0.9921612541993281,
|
98 |
+
"eval_loss": 0.11968932300806046,
|
99 |
+
"eval_precision": 1.0,
|
100 |
+
"eval_recall": 0.9844444444444445,
|
101 |
+
"eval_runtime": 141.141,
|
102 |
+
"eval_samples_per_second": 6.377,
|
103 |
+
"eval_steps_per_second": 0.801,
|
104 |
+
"step": 50
|
105 |
+
},
|
106 |
+
{
|
107 |
+
"epoch": 0.11,
|
108 |
+
"learning_rate": 4.428571428571428e-05,
|
109 |
+
"loss": 0.8216,
|
110 |
+
"step": 60
|
111 |
+
},
|
112 |
+
{
|
113 |
+
"epoch": 0.11,
|
114 |
+
"eval_accuracy": 0.9944444444444445,
|
115 |
+
"eval_f1": 0.9944506104328523,
|
116 |
+
"eval_loss": 0.026493508368730545,
|
117 |
+
"eval_precision": 0.9933481152993349,
|
118 |
+
"eval_recall": 0.9955555555555555,
|
119 |
+
"eval_runtime": 141.3296,
|
120 |
+
"eval_samples_per_second": 6.368,
|
121 |
+
"eval_steps_per_second": 0.8,
|
122 |
+
"step": 60
|
123 |
+
},
|
124 |
+
{
|
125 |
+
"epoch": 0.13,
|
126 |
+
"learning_rate": 4.3333333333333334e-05,
|
127 |
+
"loss": 0.2496,
|
128 |
+
"step": 70
|
129 |
+
},
|
130 |
+
{
|
131 |
+
"epoch": 0.13,
|
132 |
+
"eval_accuracy": 0.9944444444444445,
|
133 |
+
"eval_f1": 0.9944134078212291,
|
134 |
+
"eval_loss": 0.04411568492650986,
|
135 |
+
"eval_precision": 1.0,
|
136 |
+
"eval_recall": 0.9888888888888889,
|
137 |
+
"eval_runtime": 141.5358,
|
138 |
+
"eval_samples_per_second": 6.359,
|
139 |
+
"eval_steps_per_second": 0.798,
|
140 |
+
"step": 70
|
141 |
+
},
|
142 |
+
{
|
143 |
+
"epoch": 0.15,
|
144 |
+
"learning_rate": 4.2380952380952385e-05,
|
145 |
+
"loss": 0.1525,
|
146 |
+
"step": 80
|
147 |
+
},
|
148 |
+
{
|
149 |
+
"epoch": 0.15,
|
150 |
+
"eval_accuracy": 0.9722222222222222,
|
151 |
+
"eval_f1": 0.9716874292185731,
|
152 |
+
"eval_loss": 0.17274101078510284,
|
153 |
+
"eval_precision": 0.9907621247113164,
|
154 |
+
"eval_recall": 0.9533333333333334,
|
155 |
+
"eval_runtime": 141.1637,
|
156 |
+
"eval_samples_per_second": 6.376,
|
157 |
+
"eval_steps_per_second": 0.8,
|
158 |
+
"step": 80
|
159 |
+
},
|
160 |
+
{
|
161 |
+
"epoch": 0.17,
|
162 |
+
"learning_rate": 4.1428571428571437e-05,
|
163 |
+
"loss": 0.1757,
|
164 |
+
"step": 90
|
165 |
+
},
|
166 |
+
{
|
167 |
+
"epoch": 0.17,
|
168 |
+
"eval_accuracy": 0.6644444444444444,
|
169 |
+
"eval_f1": 0.747068676716918,
|
170 |
+
"eval_loss": 1.6221429109573364,
|
171 |
+
"eval_precision": 0.5994623655913979,
|
172 |
+
"eval_recall": 0.9911111111111112,
|
173 |
+
"eval_runtime": 141.238,
|
174 |
+
"eval_samples_per_second": 6.372,
|
175 |
+
"eval_steps_per_second": 0.8,
|
176 |
+
"step": 90
|
177 |
+
},
|
178 |
+
{
|
179 |
+
"epoch": 0.19,
|
180 |
+
"learning_rate": 4.047619047619048e-05,
|
181 |
+
"loss": 0.4925,
|
182 |
+
"step": 100
|
183 |
+
},
|
184 |
+
{
|
185 |
+
"epoch": 0.19,
|
186 |
+
"eval_accuracy": 0.9766666666666667,
|
187 |
+
"eval_f1": 0.9761092150170648,
|
188 |
+
"eval_loss": 0.3036443293094635,
|
189 |
+
"eval_precision": 1.0,
|
190 |
+
"eval_recall": 0.9533333333333334,
|
191 |
+
"eval_runtime": 141.1799,
|
192 |
+
"eval_samples_per_second": 6.375,
|
193 |
+
"eval_steps_per_second": 0.8,
|
194 |
+
"step": 100
|
195 |
+
},
|
196 |
+
{
|
197 |
+
"epoch": 0.21,
|
198 |
+
"learning_rate": 3.9523809523809526e-05,
|
199 |
+
"loss": 0.3225,
|
200 |
+
"step": 110
|
201 |
+
},
|
202 |
+
{
|
203 |
+
"epoch": 0.21,
|
204 |
+
"eval_accuracy": 0.9855555555555555,
|
205 |
+
"eval_f1": 0.9853438556933485,
|
206 |
+
"eval_loss": 0.14187519252300262,
|
207 |
+
"eval_precision": 1.0,
|
208 |
+
"eval_recall": 0.9711111111111111,
|
209 |
+
"eval_runtime": 141.1308,
|
210 |
+
"eval_samples_per_second": 6.377,
|
211 |
+
"eval_steps_per_second": 0.801,
|
212 |
+
"step": 110
|
213 |
+
},
|
214 |
+
{
|
215 |
+
"epoch": 0.23,
|
216 |
+
"learning_rate": 3.857142857142858e-05,
|
217 |
+
"loss": 0.9088,
|
218 |
+
"step": 120
|
219 |
+
},
|
220 |
+
{
|
221 |
+
"epoch": 0.23,
|
222 |
+
"eval_accuracy": 0.9788888888888889,
|
223 |
+
"eval_f1": 0.9784335981838819,
|
224 |
+
"eval_loss": 0.28491899371147156,
|
225 |
+
"eval_precision": 1.0,
|
226 |
+
"eval_recall": 0.9577777777777777,
|
227 |
+
"eval_runtime": 141.8534,
|
228 |
+
"eval_samples_per_second": 6.345,
|
229 |
+
"eval_steps_per_second": 0.797,
|
230 |
+
"step": 120
|
231 |
+
},
|
232 |
+
{
|
233 |
+
"epoch": 0.25,
|
234 |
+
"learning_rate": 3.761904761904762e-05,
|
235 |
+
"loss": 0.3186,
|
236 |
+
"step": 130
|
237 |
+
},
|
238 |
+
{
|
239 |
+
"epoch": 0.25,
|
240 |
+
"eval_accuracy": 0.9866666666666667,
|
241 |
+
"eval_f1": 0.9864864864864865,
|
242 |
+
"eval_loss": 0.23162652552127838,
|
243 |
+
"eval_precision": 1.0,
|
244 |
+
"eval_recall": 0.9733333333333334,
|
245 |
+
"eval_runtime": 141.2919,
|
246 |
+
"eval_samples_per_second": 6.37,
|
247 |
+
"eval_steps_per_second": 0.8,
|
248 |
+
"step": 130
|
249 |
+
},
|
250 |
+
{
|
251 |
+
"epoch": 0.27,
|
252 |
+
"learning_rate": 3.6666666666666666e-05,
|
253 |
+
"loss": 0.4019,
|
254 |
+
"step": 140
|
255 |
+
},
|
256 |
+
{
|
257 |
+
"epoch": 0.27,
|
258 |
+
"eval_accuracy": 0.9277777777777778,
|
259 |
+
"eval_f1": 0.9221556886227544,
|
260 |
+
"eval_loss": 1.4866257905960083,
|
261 |
+
"eval_precision": 1.0,
|
262 |
+
"eval_recall": 0.8555555555555555,
|
263 |
+
"eval_runtime": 141.5133,
|
264 |
+
"eval_samples_per_second": 6.36,
|
265 |
+
"eval_steps_per_second": 0.799,
|
266 |
+
"step": 140
|
267 |
+
},
|
268 |
+
{
|
269 |
+
"epoch": 0.29,
|
270 |
+
"learning_rate": 3.571428571428572e-05,
|
271 |
+
"loss": 1.3601,
|
272 |
+
"step": 150
|
273 |
+
},
|
274 |
+
{
|
275 |
+
"epoch": 0.29,
|
276 |
+
"eval_accuracy": 0.7233333333333334,
|
277 |
+
"eval_f1": 0.782532751091703,
|
278 |
+
"eval_loss": 3.7794864177703857,
|
279 |
+
"eval_precision": 0.6446043165467625,
|
280 |
+
"eval_recall": 0.9955555555555555,
|
281 |
+
"eval_runtime": 141.4729,
|
282 |
+
"eval_samples_per_second": 6.362,
|
283 |
+
"eval_steps_per_second": 0.799,
|
284 |
+
"step": 150
|
285 |
+
},
|
286 |
+
{
|
287 |
+
"epoch": 0.3,
|
288 |
+
"learning_rate": 3.476190476190476e-05,
|
289 |
+
"loss": 0.795,
|
290 |
+
"step": 160
|
291 |
+
},
|
292 |
+
{
|
293 |
+
"epoch": 0.3,
|
294 |
+
"eval_accuracy": 0.9866666666666667,
|
295 |
+
"eval_f1": 0.9864864864864865,
|
296 |
+
"eval_loss": 0.30650249123573303,
|
297 |
+
"eval_precision": 1.0,
|
298 |
+
"eval_recall": 0.9733333333333334,
|
299 |
+
"eval_runtime": 141.9743,
|
300 |
+
"eval_samples_per_second": 6.339,
|
301 |
+
"eval_steps_per_second": 0.796,
|
302 |
+
"step": 160
|
303 |
+
},
|
304 |
+
{
|
305 |
+
"epoch": 0.32,
|
306 |
+
"learning_rate": 3.380952380952381e-05,
|
307 |
+
"loss": 0.3756,
|
308 |
+
"step": 170
|
309 |
+
},
|
310 |
+
{
|
311 |
+
"epoch": 0.32,
|
312 |
+
"eval_accuracy": 0.9922222222222222,
|
313 |
+
"eval_f1": 0.992248062015504,
|
314 |
+
"eval_loss": 0.10177851468324661,
|
315 |
+
"eval_precision": 0.9889624724061811,
|
316 |
+
"eval_recall": 0.9955555555555555,
|
317 |
+
"eval_runtime": 141.4364,
|
318 |
+
"eval_samples_per_second": 6.363,
|
319 |
+
"eval_steps_per_second": 0.799,
|
320 |
+
"step": 170
|
321 |
+
},
|
322 |
+
{
|
323 |
+
"epoch": 0.34,
|
324 |
+
"learning_rate": 3.285714285714286e-05,
|
325 |
+
"loss": 0.1634,
|
326 |
+
"step": 180
|
327 |
+
},
|
328 |
+
{
|
329 |
+
"epoch": 0.34,
|
330 |
+
"eval_accuracy": 0.9955555555555555,
|
331 |
+
"eval_f1": 0.9955357142857144,
|
332 |
+
"eval_loss": 0.05739554017782211,
|
333 |
+
"eval_precision": 1.0,
|
334 |
+
"eval_recall": 0.9911111111111112,
|
335 |
+
"eval_runtime": 142.0812,
|
336 |
+
"eval_samples_per_second": 6.334,
|
337 |
+
"eval_steps_per_second": 0.795,
|
338 |
+
"step": 180
|
339 |
+
},
|
340 |
+
{
|
341 |
+
"epoch": 0.36,
|
342 |
+
"learning_rate": 3.19047619047619e-05,
|
343 |
+
"loss": 0.0,
|
344 |
+
"step": 190
|
345 |
+
},
|
346 |
+
{
|
347 |
+
"epoch": 0.36,
|
348 |
+
"eval_accuracy": 0.9966666666666667,
|
349 |
+
"eval_f1": 0.9966555183946488,
|
350 |
+
"eval_loss": 0.04873024299740791,
|
351 |
+
"eval_precision": 1.0,
|
352 |
+
"eval_recall": 0.9933333333333333,
|
353 |
+
"eval_runtime": 141.2062,
|
354 |
+
"eval_samples_per_second": 6.374,
|
355 |
+
"eval_steps_per_second": 0.8,
|
356 |
+
"step": 190
|
357 |
+
},
|
358 |
+
{
|
359 |
+
"epoch": 0.38,
|
360 |
+
"learning_rate": 3.095238095238095e-05,
|
361 |
+
"loss": 0.0,
|
362 |
+
"step": 200
|
363 |
+
},
|
364 |
+
{
|
365 |
+
"epoch": 0.38,
|
366 |
+
"eval_accuracy": 0.9944444444444445,
|
367 |
+
"eval_f1": 0.9944134078212291,
|
368 |
+
"eval_loss": 0.06256787478923798,
|
369 |
+
"eval_precision": 1.0,
|
370 |
+
"eval_recall": 0.9888888888888889,
|
371 |
+
"eval_runtime": 141.0452,
|
372 |
+
"eval_samples_per_second": 6.381,
|
373 |
+
"eval_steps_per_second": 0.801,
|
374 |
+
"step": 200
|
375 |
+
},
|
376 |
+
{
|
377 |
+
"epoch": 0.4,
|
378 |
+
"learning_rate": 3e-05,
|
379 |
+
"loss": 0.0,
|
380 |
+
"step": 210
|
381 |
+
},
|
382 |
+
{
|
383 |
+
"epoch": 0.4,
|
384 |
+
"eval_accuracy": 0.9933333333333333,
|
385 |
+
"eval_f1": 0.9932885906040269,
|
386 |
+
"eval_loss": 0.06856151670217514,
|
387 |
+
"eval_precision": 1.0,
|
388 |
+
"eval_recall": 0.9866666666666667,
|
389 |
+
"eval_runtime": 141.9154,
|
390 |
+
"eval_samples_per_second": 6.342,
|
391 |
+
"eval_steps_per_second": 0.796,
|
392 |
+
"step": 210
|
393 |
+
},
|
394 |
+
{
|
395 |
+
"epoch": 0.42,
|
396 |
+
"learning_rate": 2.9047619047619052e-05,
|
397 |
+
"loss": 0.0,
|
398 |
+
"step": 220
|
399 |
+
},
|
400 |
+
{
|
401 |
+
"epoch": 0.42,
|
402 |
+
"eval_accuracy": 0.9933333333333333,
|
403 |
+
"eval_f1": 0.9932885906040269,
|
404 |
+
"eval_loss": 0.0719400942325592,
|
405 |
+
"eval_precision": 1.0,
|
406 |
+
"eval_recall": 0.9866666666666667,
|
407 |
+
"eval_runtime": 141.1046,
|
408 |
+
"eval_samples_per_second": 6.378,
|
409 |
+
"eval_steps_per_second": 0.801,
|
410 |
+
"step": 220
|
411 |
+
},
|
412 |
+
{
|
413 |
+
"epoch": 0.44,
|
414 |
+
"learning_rate": 2.8095238095238096e-05,
|
415 |
+
"loss": 0.0,
|
416 |
+
"step": 230
|
417 |
+
},
|
418 |
+
{
|
419 |
+
"epoch": 0.44,
|
420 |
+
"eval_accuracy": 0.9933333333333333,
|
421 |
+
"eval_f1": 0.9932885906040269,
|
422 |
+
"eval_loss": 0.07359585165977478,
|
423 |
+
"eval_precision": 1.0,
|
424 |
+
"eval_recall": 0.9866666666666667,
|
425 |
+
"eval_runtime": 141.0721,
|
426 |
+
"eval_samples_per_second": 6.38,
|
427 |
+
"eval_steps_per_second": 0.801,
|
428 |
+
"step": 230
|
429 |
+
},
|
430 |
+
{
|
431 |
+
"epoch": 0.46,
|
432 |
+
"learning_rate": 2.714285714285714e-05,
|
433 |
+
"loss": 0.0,
|
434 |
+
"step": 240
|
435 |
+
},
|
436 |
+
{
|
437 |
+
"epoch": 0.46,
|
438 |
+
"eval_accuracy": 0.9933333333333333,
|
439 |
+
"eval_f1": 0.9932885906040269,
|
440 |
+
"eval_loss": 0.07422058284282684,
|
441 |
+
"eval_precision": 1.0,
|
442 |
+
"eval_recall": 0.9866666666666667,
|
443 |
+
"eval_runtime": 141.0372,
|
444 |
+
"eval_samples_per_second": 6.381,
|
445 |
+
"eval_steps_per_second": 0.801,
|
446 |
+
"step": 240
|
447 |
+
},
|
448 |
+
{
|
449 |
+
"epoch": 0.48,
|
450 |
+
"learning_rate": 2.6190476190476192e-05,
|
451 |
+
"loss": 0.0,
|
452 |
+
"step": 250
|
453 |
+
},
|
454 |
+
{
|
455 |
+
"epoch": 0.48,
|
456 |
+
"eval_accuracy": 0.9933333333333333,
|
457 |
+
"eval_f1": 0.9932885906040269,
|
458 |
+
"eval_loss": 0.07448597997426987,
|
459 |
+
"eval_precision": 1.0,
|
460 |
+
"eval_recall": 0.9866666666666667,
|
461 |
+
"eval_runtime": 141.2024,
|
462 |
+
"eval_samples_per_second": 6.374,
|
463 |
+
"eval_steps_per_second": 0.8,
|
464 |
+
"step": 250
|
465 |
+
},
|
466 |
+
{
|
467 |
+
"epoch": 0.5,
|
468 |
+
"learning_rate": 2.523809523809524e-05,
|
469 |
+
"loss": 0.0002,
|
470 |
+
"step": 260
|
471 |
+
},
|
472 |
+
{
|
473 |
+
"epoch": 0.5,
|
474 |
+
"eval_accuracy": 0.9966666666666667,
|
475 |
+
"eval_f1": 0.9966555183946488,
|
476 |
+
"eval_loss": 0.04471863806247711,
|
477 |
+
"eval_precision": 1.0,
|
478 |
+
"eval_recall": 0.9933333333333333,
|
479 |
+
"eval_runtime": 142.2697,
|
480 |
+
"eval_samples_per_second": 6.326,
|
481 |
+
"eval_steps_per_second": 0.794,
|
482 |
+
"step": 260
|
483 |
+
},
|
484 |
+
{
|
485 |
+
"epoch": 0.51,
|
486 |
+
"learning_rate": 2.4285714285714288e-05,
|
487 |
+
"loss": 0.0003,
|
488 |
+
"step": 270
|
489 |
+
},
|
490 |
+
{
|
491 |
+
"epoch": 0.51,
|
492 |
+
"eval_accuracy": 0.9977777777777778,
|
493 |
+
"eval_f1": 0.9977728285077951,
|
494 |
+
"eval_loss": 0.05505097284913063,
|
495 |
+
"eval_precision": 1.0,
|
496 |
+
"eval_recall": 0.9955555555555555,
|
497 |
+
"eval_runtime": 141.202,
|
498 |
+
"eval_samples_per_second": 6.374,
|
499 |
+
"eval_steps_per_second": 0.8,
|
500 |
+
"step": 270
|
501 |
+
},
|
502 |
+
{
|
503 |
+
"epoch": 0.53,
|
504 |
+
"learning_rate": 2.3333333333333336e-05,
|
505 |
+
"loss": 0.0,
|
506 |
+
"step": 280
|
507 |
+
},
|
508 |
+
{
|
509 |
+
"epoch": 0.53,
|
510 |
+
"eval_accuracy": 0.9977777777777778,
|
511 |
+
"eval_f1": 0.9977728285077951,
|
512 |
+
"eval_loss": 0.06447486579418182,
|
513 |
+
"eval_precision": 1.0,
|
514 |
+
"eval_recall": 0.9955555555555555,
|
515 |
+
"eval_runtime": 141.5606,
|
516 |
+
"eval_samples_per_second": 6.358,
|
517 |
+
"eval_steps_per_second": 0.798,
|
518 |
+
"step": 280
|
519 |
+
},
|
520 |
+
{
|
521 |
+
"epoch": 0.55,
|
522 |
+
"learning_rate": 2.2380952380952384e-05,
|
523 |
+
"loss": 0.0,
|
524 |
+
"step": 290
|
525 |
+
},
|
526 |
+
{
|
527 |
+
"epoch": 0.55,
|
528 |
+
"eval_accuracy": 0.9966666666666667,
|
529 |
+
"eval_f1": 0.9966555183946488,
|
530 |
+
"eval_loss": 0.06785142421722412,
|
531 |
+
"eval_precision": 1.0,
|
532 |
+
"eval_recall": 0.9933333333333333,
|
533 |
+
"eval_runtime": 141.703,
|
534 |
+
"eval_samples_per_second": 6.351,
|
535 |
+
"eval_steps_per_second": 0.797,
|
536 |
+
"step": 290
|
537 |
+
},
|
538 |
+
{
|
539 |
+
"epoch": 0.57,
|
540 |
+
"learning_rate": 2.1428571428571428e-05,
|
541 |
+
"loss": 0.0,
|
542 |
+
"step": 300
|
543 |
+
},
|
544 |
+
{
|
545 |
+
"epoch": 0.57,
|
546 |
+
"eval_accuracy": 0.9966666666666667,
|
547 |
+
"eval_f1": 0.9966555183946488,
|
548 |
+
"eval_loss": 0.06899154931306839,
|
549 |
+
"eval_precision": 1.0,
|
550 |
+
"eval_recall": 0.9933333333333333,
|
551 |
+
"eval_runtime": 141.0943,
|
552 |
+
"eval_samples_per_second": 6.379,
|
553 |
+
"eval_steps_per_second": 0.801,
|
554 |
+
"step": 300
|
555 |
+
},
|
556 |
+
{
|
557 |
+
"epoch": 0.59,
|
558 |
+
"learning_rate": 2.0476190476190476e-05,
|
559 |
+
"loss": 0.0,
|
560 |
+
"step": 310
|
561 |
+
},
|
562 |
+
{
|
563 |
+
"epoch": 0.59,
|
564 |
+
"eval_accuracy": 0.9966666666666667,
|
565 |
+
"eval_f1": 0.9966555183946488,
|
566 |
+
"eval_loss": 0.06934668123722076,
|
567 |
+
"eval_precision": 1.0,
|
568 |
+
"eval_recall": 0.9933333333333333,
|
569 |
+
"eval_runtime": 141.164,
|
570 |
+
"eval_samples_per_second": 6.376,
|
571 |
+
"eval_steps_per_second": 0.8,
|
572 |
+
"step": 310
|
573 |
+
},
|
574 |
+
{
|
575 |
+
"epoch": 0.61,
|
576 |
+
"learning_rate": 1.9523809523809524e-05,
|
577 |
+
"loss": 0.0005,
|
578 |
+
"step": 320
|
579 |
+
},
|
580 |
+
{
|
581 |
+
"epoch": 0.61,
|
582 |
+
"eval_accuracy": 0.97,
|
583 |
+
"eval_f1": 0.9707475622968581,
|
584 |
+
"eval_loss": 0.19248592853546143,
|
585 |
+
"eval_precision": 0.9471458773784355,
|
586 |
+
"eval_recall": 0.9955555555555555,
|
587 |
+
"eval_runtime": 141.5015,
|
588 |
+
"eval_samples_per_second": 6.36,
|
589 |
+
"eval_steps_per_second": 0.799,
|
590 |
+
"step": 320
|
591 |
+
},
|
592 |
+
{
|
593 |
+
"epoch": 0.63,
|
594 |
+
"learning_rate": 1.8571428571428572e-05,
|
595 |
+
"loss": 0.3679,
|
596 |
+
"step": 330
|
597 |
+
},
|
598 |
+
{
|
599 |
+
"epoch": 0.63,
|
600 |
+
"eval_accuracy": 0.9933333333333333,
|
601 |
+
"eval_f1": 0.9932885906040269,
|
602 |
+
"eval_loss": 0.13398447632789612,
|
603 |
+
"eval_precision": 1.0,
|
604 |
+
"eval_recall": 0.9866666666666667,
|
605 |
+
"eval_runtime": 141.4182,
|
606 |
+
"eval_samples_per_second": 6.364,
|
607 |
+
"eval_steps_per_second": 0.799,
|
608 |
+
"step": 330
|
609 |
+
},
|
610 |
+
{
|
611 |
+
"epoch": 0.65,
|
612 |
+
"learning_rate": 1.761904761904762e-05,
|
613 |
+
"loss": 0.022,
|
614 |
+
"step": 340
|
615 |
+
},
|
616 |
+
{
|
617 |
+
"epoch": 0.65,
|
618 |
+
"eval_accuracy": 0.9911111111111112,
|
619 |
+
"eval_f1": 0.9910313901345292,
|
620 |
+
"eval_loss": 0.14806345105171204,
|
621 |
+
"eval_precision": 1.0,
|
622 |
+
"eval_recall": 0.9822222222222222,
|
623 |
+
"eval_runtime": 141.5234,
|
624 |
+
"eval_samples_per_second": 6.359,
|
625 |
+
"eval_steps_per_second": 0.798,
|
626 |
+
"step": 340
|
627 |
+
},
|
628 |
+
{
|
629 |
+
"epoch": 0.67,
|
630 |
+
"learning_rate": 1.6666666666666667e-05,
|
631 |
+
"loss": 0.3466,
|
632 |
+
"step": 350
|
633 |
+
},
|
634 |
+
{
|
635 |
+
"epoch": 0.67,
|
636 |
+
"eval_accuracy": 0.9977777777777778,
|
637 |
+
"eval_f1": 0.9977728285077951,
|
638 |
+
"eval_loss": 0.03295884281396866,
|
639 |
+
"eval_precision": 1.0,
|
640 |
+
"eval_recall": 0.9955555555555555,
|
641 |
+
"eval_runtime": 141.8566,
|
642 |
+
"eval_samples_per_second": 6.344,
|
643 |
+
"eval_steps_per_second": 0.797,
|
644 |
+
"step": 350
|
645 |
+
},
|
646 |
+
{
|
647 |
+
"epoch": 0.69,
|
648 |
+
"learning_rate": 1.5714285714285715e-05,
|
649 |
+
"loss": 0.0969,
|
650 |
+
"step": 360
|
651 |
+
},
|
652 |
+
{
|
653 |
+
"epoch": 0.69,
|
654 |
+
"eval_accuracy": 0.9977777777777778,
|
655 |
+
"eval_f1": 0.9977728285077951,
|
656 |
+
"eval_loss": 0.033551666885614395,
|
657 |
+
"eval_precision": 1.0,
|
658 |
+
"eval_recall": 0.9955555555555555,
|
659 |
+
"eval_runtime": 141.8137,
|
660 |
+
"eval_samples_per_second": 6.346,
|
661 |
+
"eval_steps_per_second": 0.797,
|
662 |
+
"step": 360
|
663 |
+
},
|
664 |
+
{
|
665 |
+
"epoch": 0.7,
|
666 |
+
"learning_rate": 1.4761904761904763e-05,
|
667 |
+
"loss": 0.0,
|
668 |
+
"step": 370
|
669 |
+
},
|
670 |
+
{
|
671 |
+
"epoch": 0.7,
|
672 |
+
"eval_accuracy": 0.9977777777777778,
|
673 |
+
"eval_f1": 0.9977728285077951,
|
674 |
+
"eval_loss": 0.036964382976293564,
|
675 |
+
"eval_precision": 1.0,
|
676 |
+
"eval_recall": 0.9955555555555555,
|
677 |
+
"eval_runtime": 141.486,
|
678 |
+
"eval_samples_per_second": 6.361,
|
679 |
+
"eval_steps_per_second": 0.799,
|
680 |
+
"step": 370
|
681 |
+
},
|
682 |
+
{
|
683 |
+
"epoch": 0.72,
|
684 |
+
"learning_rate": 1.3809523809523811e-05,
|
685 |
+
"loss": 0.1382,
|
686 |
+
"step": 380
|
687 |
+
},
|
688 |
+
{
|
689 |
+
"epoch": 0.72,
|
690 |
+
"eval_accuracy": 0.9977777777777778,
|
691 |
+
"eval_f1": 0.9977728285077951,
|
692 |
+
"eval_loss": 0.024998752400279045,
|
693 |
+
"eval_precision": 1.0,
|
694 |
+
"eval_recall": 0.9955555555555555,
|
695 |
+
"eval_runtime": 141.3407,
|
696 |
+
"eval_samples_per_second": 6.368,
|
697 |
+
"eval_steps_per_second": 0.799,
|
698 |
+
"step": 380
|
699 |
+
},
|
700 |
+
{
|
701 |
+
"epoch": 0.74,
|
702 |
+
"learning_rate": 1.2857142857142857e-05,
|
703 |
+
"loss": 0.0002,
|
704 |
+
"step": 390
|
705 |
+
},
|
706 |
+
{
|
707 |
+
"epoch": 0.74,
|
708 |
+
"eval_accuracy": 0.9955555555555555,
|
709 |
+
"eval_f1": 0.9955357142857144,
|
710 |
+
"eval_loss": 0.0562567375600338,
|
711 |
+
"eval_precision": 1.0,
|
712 |
+
"eval_recall": 0.9911111111111112,
|
713 |
+
"eval_runtime": 141.2026,
|
714 |
+
"eval_samples_per_second": 6.374,
|
715 |
+
"eval_steps_per_second": 0.8,
|
716 |
+
"step": 390
|
717 |
+
},
|
718 |
+
{
|
719 |
+
"epoch": 0.76,
|
720 |
+
"learning_rate": 1.1904761904761905e-05,
|
721 |
+
"loss": 0.0,
|
722 |
+
"step": 400
|
723 |
+
},
|
724 |
+
{
|
725 |
+
"epoch": 0.76,
|
726 |
+
"eval_accuracy": 0.9933333333333333,
|
727 |
+
"eval_f1": 0.9932885906040269,
|
728 |
+
"eval_loss": 0.08514667302370071,
|
729 |
+
"eval_precision": 1.0,
|
730 |
+
"eval_recall": 0.9866666666666667,
|
731 |
+
"eval_runtime": 141.5649,
|
732 |
+
"eval_samples_per_second": 6.358,
|
733 |
+
"eval_steps_per_second": 0.798,
|
734 |
+
"step": 400
|
735 |
+
},
|
736 |
+
{
|
737 |
+
"epoch": 0.78,
|
738 |
+
"learning_rate": 1.0952380952380953e-05,
|
739 |
+
"loss": 0.0,
|
740 |
+
"step": 410
|
741 |
+
},
|
742 |
+
{
|
743 |
+
"epoch": 0.78,
|
744 |
+
"eval_accuracy": 0.9933333333333333,
|
745 |
+
"eval_f1": 0.9932885906040269,
|
746 |
+
"eval_loss": 0.0796796977519989,
|
747 |
+
"eval_precision": 1.0,
|
748 |
+
"eval_recall": 0.9866666666666667,
|
749 |
+
"eval_runtime": 141.415,
|
750 |
+
"eval_samples_per_second": 6.364,
|
751 |
+
"eval_steps_per_second": 0.799,
|
752 |
+
"step": 410
|
753 |
+
},
|
754 |
+
{
|
755 |
+
"epoch": 0.8,
|
756 |
+
"learning_rate": 1e-05,
|
757 |
+
"loss": 0.0249,
|
758 |
+
"step": 420
|
759 |
+
},
|
760 |
+
{
|
761 |
+
"epoch": 0.8,
|
762 |
+
"eval_accuracy": 0.9977777777777778,
|
763 |
+
"eval_f1": 0.9977728285077951,
|
764 |
+
"eval_loss": 0.053853683173656464,
|
765 |
+
"eval_precision": 1.0,
|
766 |
+
"eval_recall": 0.9955555555555555,
|
767 |
+
"eval_runtime": 141.5153,
|
768 |
+
"eval_samples_per_second": 6.36,
|
769 |
+
"eval_steps_per_second": 0.799,
|
770 |
+
"step": 420
|
771 |
+
},
|
772 |
+
{
|
773 |
+
"epoch": 0.82,
|
774 |
+
"learning_rate": 9.047619047619047e-06,
|
775 |
+
"loss": 0.0,
|
776 |
+
"step": 430
|
777 |
+
},
|
778 |
+
{
|
779 |
+
"epoch": 0.82,
|
780 |
+
"eval_accuracy": 0.9944444444444445,
|
781 |
+
"eval_f1": 0.9944506104328523,
|
782 |
+
"eval_loss": 0.05637865141034126,
|
783 |
+
"eval_precision": 0.9933481152993349,
|
784 |
+
"eval_recall": 0.9955555555555555,
|
785 |
+
"eval_runtime": 141.1842,
|
786 |
+
"eval_samples_per_second": 6.375,
|
787 |
+
"eval_steps_per_second": 0.8,
|
788 |
+
"step": 430
|
789 |
+
},
|
790 |
+
{
|
791 |
+
"epoch": 0.84,
|
792 |
+
"learning_rate": 8.095238095238097e-06,
|
793 |
+
"loss": 0.0001,
|
794 |
+
"step": 440
|
795 |
+
},
|
796 |
+
{
|
797 |
+
"epoch": 0.84,
|
798 |
+
"eval_accuracy": 0.9977777777777778,
|
799 |
+
"eval_f1": 0.9977728285077951,
|
800 |
+
"eval_loss": 0.05456162244081497,
|
801 |
+
"eval_precision": 1.0,
|
802 |
+
"eval_recall": 0.9955555555555555,
|
803 |
+
"eval_runtime": 141.6066,
|
804 |
+
"eval_samples_per_second": 6.356,
|
805 |
+
"eval_steps_per_second": 0.798,
|
806 |
+
"step": 440
|
807 |
+
},
|
808 |
+
{
|
809 |
+
"epoch": 0.86,
|
810 |
+
"learning_rate": 7.142857142857143e-06,
|
811 |
+
"loss": 0.0,
|
812 |
+
"step": 450
|
813 |
+
},
|
814 |
+
{
|
815 |
+
"epoch": 0.86,
|
816 |
+
"eval_accuracy": 0.9977777777777778,
|
817 |
+
"eval_f1": 0.9977728285077951,
|
818 |
+
"eval_loss": 0.05705412104725838,
|
819 |
+
"eval_precision": 1.0,
|
820 |
+
"eval_recall": 0.9955555555555555,
|
821 |
+
"eval_runtime": 141.4461,
|
822 |
+
"eval_samples_per_second": 6.363,
|
823 |
+
"eval_steps_per_second": 0.799,
|
824 |
+
"step": 450
|
825 |
+
},
|
826 |
+
{
|
827 |
+
"epoch": 0.88,
|
828 |
+
"learning_rate": 6.190476190476191e-06,
|
829 |
+
"loss": 0.0,
|
830 |
+
"step": 460
|
831 |
+
},
|
832 |
+
{
|
833 |
+
"epoch": 0.88,
|
834 |
+
"eval_accuracy": 0.9977777777777778,
|
835 |
+
"eval_f1": 0.9977728285077951,
|
836 |
+
"eval_loss": 0.057826586067676544,
|
837 |
+
"eval_precision": 1.0,
|
838 |
+
"eval_recall": 0.9955555555555555,
|
839 |
+
"eval_runtime": 141.1909,
|
840 |
+
"eval_samples_per_second": 6.374,
|
841 |
+
"eval_steps_per_second": 0.8,
|
842 |
+
"step": 460
|
843 |
+
},
|
844 |
+
{
|
845 |
+
"epoch": 0.9,
|
846 |
+
"learning_rate": 5.2380952380952384e-06,
|
847 |
+
"loss": 0.0,
|
848 |
+
"step": 470
|
849 |
+
},
|
850 |
+
{
|
851 |
+
"epoch": 0.9,
|
852 |
+
"eval_accuracy": 0.9977777777777778,
|
853 |
+
"eval_f1": 0.9977728285077951,
|
854 |
+
"eval_loss": 0.058067686855793,
|
855 |
+
"eval_precision": 1.0,
|
856 |
+
"eval_recall": 0.9955555555555555,
|
857 |
+
"eval_runtime": 141.1597,
|
858 |
+
"eval_samples_per_second": 6.376,
|
859 |
+
"eval_steps_per_second": 0.801,
|
860 |
+
"step": 470
|
861 |
+
},
|
862 |
+
{
|
863 |
+
"epoch": 0.91,
|
864 |
+
"learning_rate": 4.285714285714286e-06,
|
865 |
+
"loss": 0.0436,
|
866 |
+
"step": 480
|
867 |
+
},
|
868 |
+
{
|
869 |
+
"epoch": 0.91,
|
870 |
+
"eval_accuracy": 0.9977777777777778,
|
871 |
+
"eval_f1": 0.9977728285077951,
|
872 |
+
"eval_loss": 0.05441794544458389,
|
873 |
+
"eval_precision": 1.0,
|
874 |
+
"eval_recall": 0.9955555555555555,
|
875 |
+
"eval_runtime": 141.5984,
|
876 |
+
"eval_samples_per_second": 6.356,
|
877 |
+
"eval_steps_per_second": 0.798,
|
878 |
+
"step": 480
|
879 |
+
},
|
880 |
+
{
|
881 |
+
"epoch": 0.93,
|
882 |
+
"learning_rate": 3.3333333333333333e-06,
|
883 |
+
"loss": 0.0001,
|
884 |
+
"step": 490
|
885 |
+
},
|
886 |
+
{
|
887 |
+
"epoch": 0.93,
|
888 |
+
"eval_accuracy": 0.9966666666666667,
|
889 |
+
"eval_f1": 0.996662958843159,
|
890 |
+
"eval_loss": 0.05526140332221985,
|
891 |
+
"eval_precision": 0.9977728285077951,
|
892 |
+
"eval_recall": 0.9955555555555555,
|
893 |
+
"eval_runtime": 141.1634,
|
894 |
+
"eval_samples_per_second": 6.376,
|
895 |
+
"eval_steps_per_second": 0.8,
|
896 |
+
"step": 490
|
897 |
+
},
|
898 |
+
{
|
899 |
+
"epoch": 0.95,
|
900 |
+
"learning_rate": 2.3809523809523808e-06,
|
901 |
+
"loss": 0.0,
|
902 |
+
"step": 500
|
903 |
+
},
|
904 |
+
{
|
905 |
+
"epoch": 0.95,
|
906 |
+
"eval_accuracy": 0.9977777777777778,
|
907 |
+
"eval_f1": 0.9977728285077951,
|
908 |
+
"eval_loss": 0.054864052683115005,
|
909 |
+
"eval_precision": 1.0,
|
910 |
+
"eval_recall": 0.9955555555555555,
|
911 |
+
"eval_runtime": 141.2124,
|
912 |
+
"eval_samples_per_second": 6.373,
|
913 |
+
"eval_steps_per_second": 0.8,
|
914 |
+
"step": 500
|
915 |
+
},
|
916 |
+
{
|
917 |
+
"epoch": 0.97,
|
918 |
+
"learning_rate": 1.4285714285714286e-06,
|
919 |
+
"loss": 0.0,
|
920 |
+
"step": 510
|
921 |
+
},
|
922 |
+
{
|
923 |
+
"epoch": 0.97,
|
924 |
+
"eval_accuracy": 0.9977777777777778,
|
925 |
+
"eval_f1": 0.9977728285077951,
|
926 |
+
"eval_loss": 0.0549486018717289,
|
927 |
+
"eval_precision": 1.0,
|
928 |
+
"eval_recall": 0.9955555555555555,
|
929 |
+
"eval_runtime": 141.0622,
|
930 |
+
"eval_samples_per_second": 6.38,
|
931 |
+
"eval_steps_per_second": 0.801,
|
932 |
+
"step": 510
|
933 |
+
},
|
934 |
+
{
|
935 |
+
"epoch": 0.99,
|
936 |
+
"learning_rate": 4.761904761904763e-07,
|
937 |
+
"loss": 0.0,
|
938 |
+
"step": 520
|
939 |
+
},
|
940 |
+
{
|
941 |
+
"epoch": 0.99,
|
942 |
+
"eval_accuracy": 0.9977777777777778,
|
943 |
+
"eval_f1": 0.9977728285077951,
|
944 |
+
"eval_loss": 0.054975349456071854,
|
945 |
+
"eval_precision": 1.0,
|
946 |
+
"eval_recall": 0.9955555555555555,
|
947 |
+
"eval_runtime": 141.3458,
|
948 |
+
"eval_samples_per_second": 6.367,
|
949 |
+
"eval_steps_per_second": 0.799,
|
950 |
+
"step": 520
|
951 |
+
}
|
952 |
+
],
|
953 |
+
"max_steps": 525,
|
954 |
+
"num_train_epochs": 1,
|
955 |
+
"total_flos": 3.0453660647424e+16,
|
956 |
+
"trial_name": null,
|
957 |
+
"trial_params": null
|
958 |
+
}
|
bloomz-3b-wiki-detector/training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:a13f46516b66c4a30669d7ac24fe7bf8db7c77d8fae3472699544306334faf9d
|
3 |
+
size 3451
|