Theoreticallyhugo
commited on
Commit
•
1283997
1
Parent(s):
d2b9616
Training in progress, epoch 39, checkpoint
Browse files- checkpoint-3159/config.json +53 -0
- checkpoint-3159/merges.txt +0 -0
- checkpoint-3159/model.safetensors +3 -0
- checkpoint-3159/optimizer.pt +3 -0
- checkpoint-3159/rng_state.pth +3 -0
- checkpoint-3159/scheduler.pt +3 -0
- checkpoint-3159/special_tokens_map.json +15 -0
- checkpoint-3159/tokenizer.json +0 -0
- checkpoint-3159/tokenizer_config.json +57 -0
- checkpoint-3159/trainer_state.json +1584 -0
- checkpoint-3159/training_args.bin +3 -0
- checkpoint-3159/vocab.json +0 -0
checkpoint-3159/config.json
ADDED
@@ -0,0 +1,53 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "allenai/longformer-base-4096",
|
3 |
+
"architectures": [
|
4 |
+
"LongformerForTokenClassification"
|
5 |
+
],
|
6 |
+
"attention_mode": "longformer",
|
7 |
+
"attention_probs_dropout_prob": 0.1,
|
8 |
+
"attention_window": [
|
9 |
+
700,
|
10 |
+
700,
|
11 |
+
700,
|
12 |
+
700,
|
13 |
+
700,
|
14 |
+
700,
|
15 |
+
700,
|
16 |
+
700,
|
17 |
+
700,
|
18 |
+
700,
|
19 |
+
700,
|
20 |
+
700
|
21 |
+
],
|
22 |
+
"bos_token_id": 0,
|
23 |
+
"eos_token_id": 2,
|
24 |
+
"gradient_checkpointing": false,
|
25 |
+
"hidden_act": "gelu",
|
26 |
+
"hidden_dropout_prob": 0.1,
|
27 |
+
"hidden_size": 768,
|
28 |
+
"id2label": {
|
29 |
+
"0": "O",
|
30 |
+
"1": "B",
|
31 |
+
"2": "I"
|
32 |
+
},
|
33 |
+
"ignore_attention_mask": false,
|
34 |
+
"initializer_range": 0.02,
|
35 |
+
"intermediate_size": 3072,
|
36 |
+
"label2id": {
|
37 |
+
"B": 1,
|
38 |
+
"I": 2,
|
39 |
+
"O": 0
|
40 |
+
},
|
41 |
+
"layer_norm_eps": 1e-05,
|
42 |
+
"max_position_embeddings": 4098,
|
43 |
+
"model_type": "longformer",
|
44 |
+
"num_attention_heads": 12,
|
45 |
+
"num_hidden_layers": 12,
|
46 |
+
"onnx_export": false,
|
47 |
+
"pad_token_id": 1,
|
48 |
+
"sep_token_id": 2,
|
49 |
+
"torch_dtype": "float32",
|
50 |
+
"transformers_version": "4.38.2",
|
51 |
+
"type_vocab_size": 1,
|
52 |
+
"vocab_size": 50265
|
53 |
+
}
|
checkpoint-3159/merges.txt
ADDED
The diff for this file is too large to render.
See raw diff
|
|
checkpoint-3159/model.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:924dfae4cdbdf2adeb0538b20dadfc4dd563c54313fe403ff3546090b17768ac
|
3 |
+
size 592318676
|
checkpoint-3159/optimizer.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:ba87d2709bf1bfe38f7f1ea4e73f179f9a53d3755c23634bc462dc3b17d0888a
|
3 |
+
size 1014645498
|
checkpoint-3159/rng_state.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:342322091a346398c84dab23779617841fed2c90e7684658d3232196615ede48
|
3 |
+
size 14244
|
checkpoint-3159/scheduler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:2ffe4e01aa278e1762f07644adf16d1b8f0477c3576071fa83bf295f52e9cc38
|
3 |
+
size 1064
|
checkpoint-3159/special_tokens_map.json
ADDED
@@ -0,0 +1,15 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"bos_token": "<s>",
|
3 |
+
"cls_token": "<s>",
|
4 |
+
"eos_token": "</s>",
|
5 |
+
"mask_token": {
|
6 |
+
"content": "<mask>",
|
7 |
+
"lstrip": true,
|
8 |
+
"normalized": false,
|
9 |
+
"rstrip": false,
|
10 |
+
"single_word": false
|
11 |
+
},
|
12 |
+
"pad_token": "<pad>",
|
13 |
+
"sep_token": "</s>",
|
14 |
+
"unk_token": "<unk>"
|
15 |
+
}
|
checkpoint-3159/tokenizer.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|
checkpoint-3159/tokenizer_config.json
ADDED
@@ -0,0 +1,57 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"add_prefix_space": true,
|
3 |
+
"added_tokens_decoder": {
|
4 |
+
"0": {
|
5 |
+
"content": "<s>",
|
6 |
+
"lstrip": false,
|
7 |
+
"normalized": true,
|
8 |
+
"rstrip": false,
|
9 |
+
"single_word": false,
|
10 |
+
"special": true
|
11 |
+
},
|
12 |
+
"1": {
|
13 |
+
"content": "<pad>",
|
14 |
+
"lstrip": false,
|
15 |
+
"normalized": true,
|
16 |
+
"rstrip": false,
|
17 |
+
"single_word": false,
|
18 |
+
"special": true
|
19 |
+
},
|
20 |
+
"2": {
|
21 |
+
"content": "</s>",
|
22 |
+
"lstrip": false,
|
23 |
+
"normalized": true,
|
24 |
+
"rstrip": false,
|
25 |
+
"single_word": false,
|
26 |
+
"special": true
|
27 |
+
},
|
28 |
+
"3": {
|
29 |
+
"content": "<unk>",
|
30 |
+
"lstrip": false,
|
31 |
+
"normalized": true,
|
32 |
+
"rstrip": false,
|
33 |
+
"single_word": false,
|
34 |
+
"special": true
|
35 |
+
},
|
36 |
+
"50264": {
|
37 |
+
"content": "<mask>",
|
38 |
+
"lstrip": true,
|
39 |
+
"normalized": false,
|
40 |
+
"rstrip": false,
|
41 |
+
"single_word": false,
|
42 |
+
"special": true
|
43 |
+
}
|
44 |
+
},
|
45 |
+
"bos_token": "<s>",
|
46 |
+
"clean_up_tokenization_spaces": true,
|
47 |
+
"cls_token": "<s>",
|
48 |
+
"eos_token": "</s>",
|
49 |
+
"errors": "replace",
|
50 |
+
"mask_token": "<mask>",
|
51 |
+
"model_max_length": 4096,
|
52 |
+
"pad_token": "<pad>",
|
53 |
+
"sep_token": "</s>",
|
54 |
+
"tokenizer_class": "LongformerTokenizer",
|
55 |
+
"trim_offsets": true,
|
56 |
+
"unk_token": "<unk>"
|
57 |
+
}
|
checkpoint-3159/trainer_state.json
ADDED
@@ -0,0 +1,1584 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": null,
|
3 |
+
"best_model_checkpoint": null,
|
4 |
+
"epoch": 39.0,
|
5 |
+
"eval_steps": 500,
|
6 |
+
"global_step": 3159,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 1.0,
|
13 |
+
"eval_B": {
|
14 |
+
"f1-score": 0.8087666523420713,
|
15 |
+
"precision": 0.8189730200174065,
|
16 |
+
"recall": 0.7988115449915111,
|
17 |
+
"support": 1178.0
|
18 |
+
},
|
19 |
+
"eval_I": {
|
20 |
+
"f1-score": 0.9374597034171502,
|
21 |
+
"precision": 0.9521418826739427,
|
22 |
+
"recall": 0.9232234509762421,
|
23 |
+
"support": 18899.0
|
24 |
+
},
|
25 |
+
"eval_O": {
|
26 |
+
"f1-score": 0.8881362400419788,
|
27 |
+
"precision": 0.863303347862376,
|
28 |
+
"recall": 0.9144400785854617,
|
29 |
+
"support": 10180.0
|
30 |
+
},
|
31 |
+
"eval_accuracy": 0.9154245298608586,
|
32 |
+
"eval_loss": 0.2228638380765915,
|
33 |
+
"eval_macro avg": {
|
34 |
+
"f1-score": 0.8781208652670669,
|
35 |
+
"precision": 0.8781394168512416,
|
36 |
+
"recall": 0.8788250248510717,
|
37 |
+
"support": 30257.0
|
38 |
+
},
|
39 |
+
"eval_runtime": 4.7167,
|
40 |
+
"eval_samples_per_second": 17.173,
|
41 |
+
"eval_steps_per_second": 2.332,
|
42 |
+
"eval_weighted avg": {
|
43 |
+
"f1-score": 0.9158543469268937,
|
44 |
+
"precision": 0.9170673807540184,
|
45 |
+
"recall": 0.9154245298608586,
|
46 |
+
"support": 30257.0
|
47 |
+
},
|
48 |
+
"step": 81
|
49 |
+
},
|
50 |
+
{
|
51 |
+
"epoch": 2.0,
|
52 |
+
"eval_B": {
|
53 |
+
"f1-score": 0.8401515151515152,
|
54 |
+
"precision": 0.7585499316005472,
|
55 |
+
"recall": 0.9414261460101867,
|
56 |
+
"support": 1178.0
|
57 |
+
},
|
58 |
+
"eval_I": {
|
59 |
+
"f1-score": 0.9568235603470944,
|
60 |
+
"precision": 0.9510219016256338,
|
61 |
+
"recall": 0.9626964389650247,
|
62 |
+
"support": 18899.0
|
63 |
+
},
|
64 |
+
"eval_O": {
|
65 |
+
"f1-score": 0.9185648054827655,
|
66 |
+
"precision": 0.9430877483443708,
|
67 |
+
"recall": 0.8952848722986247,
|
68 |
+
"support": 10180.0
|
69 |
+
},
|
70 |
+
"eval_accuracy": 0.9391876260038999,
|
71 |
+
"eval_loss": 0.16692574322223663,
|
72 |
+
"eval_macro avg": {
|
73 |
+
"f1-score": 0.905179960327125,
|
74 |
+
"precision": 0.8842198605235172,
|
75 |
+
"recall": 0.9331358190912787,
|
76 |
+
"support": 30257.0
|
77 |
+
},
|
78 |
+
"eval_runtime": 4.7116,
|
79 |
+
"eval_samples_per_second": 17.192,
|
80 |
+
"eval_steps_per_second": 2.335,
|
81 |
+
"eval_weighted avg": {
|
82 |
+
"f1-score": 0.9394089523635119,
|
83 |
+
"precision": 0.9408589092241132,
|
84 |
+
"recall": 0.9391876260038999,
|
85 |
+
"support": 30257.0
|
86 |
+
},
|
87 |
+
"step": 162
|
88 |
+
},
|
89 |
+
{
|
90 |
+
"epoch": 3.0,
|
91 |
+
"eval_B": {
|
92 |
+
"f1-score": 0.8612244897959184,
|
93 |
+
"precision": 0.8294025157232704,
|
94 |
+
"recall": 0.8955857385398981,
|
95 |
+
"support": 1178.0
|
96 |
+
},
|
97 |
+
"eval_I": {
|
98 |
+
"f1-score": 0.951106371634231,
|
99 |
+
"precision": 0.9584654236741712,
|
100 |
+
"recall": 0.9438594634636753,
|
101 |
+
"support": 18899.0
|
102 |
+
},
|
103 |
+
"eval_O": {
|
104 |
+
"f1-score": 0.9106743212999903,
|
105 |
+
"precision": 0.9021592442645074,
|
106 |
+
"recall": 0.9193516699410609,
|
107 |
+
"support": 10180.0
|
108 |
+
},
|
109 |
+
"eval_accuracy": 0.9337343424662061,
|
110 |
+
"eval_loss": 0.1742253601551056,
|
111 |
+
"eval_macro avg": {
|
112 |
+
"f1-score": 0.9076683942433799,
|
113 |
+
"precision": 0.8966757278873163,
|
114 |
+
"recall": 0.9195989573148781,
|
115 |
+
"support": 30257.0
|
116 |
+
},
|
117 |
+
"eval_runtime": 4.7094,
|
118 |
+
"eval_samples_per_second": 17.2,
|
119 |
+
"eval_steps_per_second": 2.336,
|
120 |
+
"eval_weighted avg": {
|
121 |
+
"f1-score": 0.9340035812317422,
|
122 |
+
"precision": 0.9344963252190521,
|
123 |
+
"recall": 0.9337343424662061,
|
124 |
+
"support": 30257.0
|
125 |
+
},
|
126 |
+
"step": 243
|
127 |
+
},
|
128 |
+
{
|
129 |
+
"epoch": 4.0,
|
130 |
+
"eval_B": {
|
131 |
+
"f1-score": 0.8717948717948719,
|
132 |
+
"precision": 0.8254931714719271,
|
133 |
+
"recall": 0.9235993208828522,
|
134 |
+
"support": 1178.0
|
135 |
+
},
|
136 |
+
"eval_I": {
|
137 |
+
"f1-score": 0.9561271586371415,
|
138 |
+
"precision": 0.9374586871408959,
|
139 |
+
"recall": 0.9755542621302714,
|
140 |
+
"support": 18899.0
|
141 |
+
},
|
142 |
+
"eval_O": {
|
143 |
+
"f1-score": 0.9117828500925355,
|
144 |
+
"precision": 0.956427955133736,
|
145 |
+
"recall": 0.8711198428290766,
|
146 |
+
"support": 10180.0
|
147 |
+
},
|
148 |
+
"eval_accuracy": 0.9383944211256899,
|
149 |
+
"eval_loss": 0.18792153894901276,
|
150 |
+
"eval_macro avg": {
|
151 |
+
"f1-score": 0.9132349601748496,
|
152 |
+
"precision": 0.9064599379155197,
|
153 |
+
"recall": 0.9234244752807333,
|
154 |
+
"support": 30257.0
|
155 |
+
},
|
156 |
+
"eval_runtime": 4.7342,
|
157 |
+
"eval_samples_per_second": 17.11,
|
158 |
+
"eval_steps_per_second": 2.324,
|
159 |
+
"eval_weighted avg": {
|
160 |
+
"f1-score": 0.9379241479327001,
|
161 |
+
"precision": 0.9394817486046585,
|
162 |
+
"recall": 0.9383944211256899,
|
163 |
+
"support": 30257.0
|
164 |
+
},
|
165 |
+
"step": 324
|
166 |
+
},
|
167 |
+
{
|
168 |
+
"epoch": 5.0,
|
169 |
+
"eval_B": {
|
170 |
+
"f1-score": 0.8742949234488315,
|
171 |
+
"precision": 0.8320552147239264,
|
172 |
+
"recall": 0.9210526315789473,
|
173 |
+
"support": 1178.0
|
174 |
+
},
|
175 |
+
"eval_I": {
|
176 |
+
"f1-score": 0.9583957528450158,
|
177 |
+
"precision": 0.9521148825065274,
|
178 |
+
"recall": 0.9647600402137679,
|
179 |
+
"support": 18899.0
|
180 |
+
},
|
181 |
+
"eval_O": {
|
182 |
+
"f1-score": 0.9198818996146724,
|
183 |
+
"precision": 0.9375701315923697,
|
184 |
+
"recall": 0.9028487229862475,
|
185 |
+
"support": 10180.0
|
186 |
+
},
|
187 |
+
"eval_accuracy": 0.9422282447037049,
|
188 |
+
"eval_loss": 0.19990424811840057,
|
189 |
+
"eval_macro avg": {
|
190 |
+
"f1-score": 0.9175241919695066,
|
191 |
+
"precision": 0.9072467429409411,
|
192 |
+
"recall": 0.9295537982596542,
|
193 |
+
"support": 30257.0
|
194 |
+
},
|
195 |
+
"eval_runtime": 4.7101,
|
196 |
+
"eval_samples_per_second": 17.197,
|
197 |
+
"eval_steps_per_second": 2.335,
|
198 |
+
"eval_weighted avg": {
|
199 |
+
"f1-score": 0.9421634164298524,
|
200 |
+
"precision": 0.9425469857238316,
|
201 |
+
"recall": 0.9422282447037049,
|
202 |
+
"support": 30257.0
|
203 |
+
},
|
204 |
+
"step": 405
|
205 |
+
},
|
206 |
+
{
|
207 |
+
"epoch": 6.0,
|
208 |
+
"eval_B": {
|
209 |
+
"f1-score": 0.8808247422680412,
|
210 |
+
"precision": 0.8564554931836408,
|
211 |
+
"recall": 0.9066213921901528,
|
212 |
+
"support": 1178.0
|
213 |
+
},
|
214 |
+
"eval_I": {
|
215 |
+
"f1-score": 0.957406827435014,
|
216 |
+
"precision": 0.9446361435855178,
|
217 |
+
"recall": 0.9705275411397428,
|
218 |
+
"support": 18899.0
|
219 |
+
},
|
220 |
+
"eval_O": {
|
221 |
+
"f1-score": 0.9163000050574014,
|
222 |
+
"precision": 0.9443344105076619,
|
223 |
+
"recall": 0.8898821218074656,
|
224 |
+
"support": 10180.0
|
225 |
+
},
|
226 |
+
"eval_accuracy": 0.9409062365733549,
|
227 |
+
"eval_loss": 0.20615626871585846,
|
228 |
+
"eval_macro avg": {
|
229 |
+
"f1-score": 0.9181771915868189,
|
230 |
+
"precision": 0.9151420157589403,
|
231 |
+
"recall": 0.922343685045787,
|
232 |
+
"support": 30257.0
|
233 |
+
},
|
234 |
+
"eval_runtime": 4.6949,
|
235 |
+
"eval_samples_per_second": 17.253,
|
236 |
+
"eval_steps_per_second": 2.343,
|
237 |
+
"eval_weighted avg": {
|
238 |
+
"f1-score": 0.9405948120953971,
|
239 |
+
"precision": 0.941101475610967,
|
240 |
+
"recall": 0.9409062365733549,
|
241 |
+
"support": 30257.0
|
242 |
+
},
|
243 |
+
"step": 486
|
244 |
+
},
|
245 |
+
{
|
246 |
+
"epoch": 6.17,
|
247 |
+
"grad_norm": 2.4104158878326416,
|
248 |
+
"learning_rate": 1.7530864197530865e-05,
|
249 |
+
"loss": 0.1662,
|
250 |
+
"step": 500
|
251 |
+
},
|
252 |
+
{
|
253 |
+
"epoch": 7.0,
|
254 |
+
"eval_B": {
|
255 |
+
"f1-score": 0.8836820083682009,
|
256 |
+
"precision": 0.8712871287128713,
|
257 |
+
"recall": 0.8964346349745331,
|
258 |
+
"support": 1178.0
|
259 |
+
},
|
260 |
+
"eval_I": {
|
261 |
+
"f1-score": 0.9614174269469787,
|
262 |
+
"precision": 0.9609854091774159,
|
263 |
+
"recall": 0.9618498333245146,
|
264 |
+
"support": 18899.0
|
265 |
+
},
|
266 |
+
"eval_O": {
|
267 |
+
"f1-score": 0.9271751440248166,
|
268 |
+
"precision": 0.9295093296475466,
|
269 |
+
"recall": 0.924852652259332,
|
270 |
+
"support": 10180.0
|
271 |
+
},
|
272 |
+
"eval_accuracy": 0.9468552731599299,
|
273 |
+
"eval_loss": 0.22925782203674316,
|
274 |
+
"eval_macro avg": {
|
275 |
+
"f1-score": 0.9240915264466655,
|
276 |
+
"precision": 0.9205939558459445,
|
277 |
+
"recall": 0.9277123735194599,
|
278 |
+
"support": 30257.0
|
279 |
+
},
|
280 |
+
"eval_runtime": 4.7288,
|
281 |
+
"eval_samples_per_second": 17.129,
|
282 |
+
"eval_steps_per_second": 2.326,
|
283 |
+
"eval_weighted avg": {
|
284 |
+
"f1-score": 0.9468700903559945,
|
285 |
+
"precision": 0.9469030129054358,
|
286 |
+
"recall": 0.9468552731599299,
|
287 |
+
"support": 30257.0
|
288 |
+
},
|
289 |
+
"step": 567
|
290 |
+
},
|
291 |
+
{
|
292 |
+
"epoch": 8.0,
|
293 |
+
"eval_B": {
|
294 |
+
"f1-score": 0.8803630363036303,
|
295 |
+
"precision": 0.8563402889245586,
|
296 |
+
"recall": 0.9057724957555179,
|
297 |
+
"support": 1178.0
|
298 |
+
},
|
299 |
+
"eval_I": {
|
300 |
+
"f1-score": 0.9580651967507121,
|
301 |
+
"precision": 0.9550928116947994,
|
302 |
+
"recall": 0.9610561405365363,
|
303 |
+
"support": 18899.0
|
304 |
+
},
|
305 |
+
"eval_O": {
|
306 |
+
"f1-score": 0.9208882720333101,
|
307 |
+
"precision": 0.9294576746047628,
|
308 |
+
"recall": 0.912475442043222,
|
309 |
+
"support": 10180.0
|
310 |
+
},
|
311 |
+
"eval_accuracy": 0.9425587467362925,
|
312 |
+
"eval_loss": 0.22973769903182983,
|
313 |
+
"eval_macro avg": {
|
314 |
+
"f1-score": 0.9197721683625509,
|
315 |
+
"precision": 0.9136302584080402,
|
316 |
+
"recall": 0.9264346927784253,
|
317 |
+
"support": 30257.0
|
318 |
+
},
|
319 |
+
"eval_runtime": 4.7191,
|
320 |
+
"eval_samples_per_second": 17.164,
|
321 |
+
"eval_steps_per_second": 2.331,
|
322 |
+
"eval_weighted avg": {
|
323 |
+
"f1-score": 0.9425317916335554,
|
324 |
+
"precision": 0.942623096673485,
|
325 |
+
"recall": 0.9425587467362925,
|
326 |
+
"support": 30257.0
|
327 |
+
},
|
328 |
+
"step": 648
|
329 |
+
},
|
330 |
+
{
|
331 |
+
"epoch": 9.0,
|
332 |
+
"eval_B": {
|
333 |
+
"f1-score": 0.8885191347753745,
|
334 |
+
"precision": 0.8711256117455138,
|
335 |
+
"recall": 0.9066213921901528,
|
336 |
+
"support": 1178.0
|
337 |
+
},
|
338 |
+
"eval_I": {
|
339 |
+
"f1-score": 0.9620326487625066,
|
340 |
+
"precision": 0.9574445783763954,
|
341 |
+
"recall": 0.9666649029049156,
|
342 |
+
"support": 18899.0
|
343 |
+
},
|
344 |
+
"eval_O": {
|
345 |
+
"f1-score": 0.9275707898658718,
|
346 |
+
"precision": 0.9382914572864322,
|
347 |
+
"recall": 0.9170923379174852,
|
348 |
+
"support": 10180.0
|
349 |
+
},
|
350 |
+
"eval_accuracy": 0.9476484780381399,
|
351 |
+
"eval_loss": 0.24401217699050903,
|
352 |
+
"eval_macro avg": {
|
353 |
+
"f1-score": 0.9260408578012509,
|
354 |
+
"precision": 0.9222872158027805,
|
355 |
+
"recall": 0.9301262110041845,
|
356 |
+
"support": 30257.0
|
357 |
+
},
|
358 |
+
"eval_runtime": 4.701,
|
359 |
+
"eval_samples_per_second": 17.23,
|
360 |
+
"eval_steps_per_second": 2.34,
|
361 |
+
"eval_weighted avg": {
|
362 |
+
"f1-score": 0.94757580760031,
|
363 |
+
"precision": 0.9476398219436029,
|
364 |
+
"recall": 0.9476484780381399,
|
365 |
+
"support": 30257.0
|
366 |
+
},
|
367 |
+
"step": 729
|
368 |
+
},
|
369 |
+
{
|
370 |
+
"epoch": 10.0,
|
371 |
+
"eval_B": {
|
372 |
+
"f1-score": 0.875959595959596,
|
373 |
+
"precision": 0.8357748650732459,
|
374 |
+
"recall": 0.9202037351443124,
|
375 |
+
"support": 1178.0
|
376 |
+
},
|
377 |
+
"eval_I": {
|
378 |
+
"f1-score": 0.955652945166171,
|
379 |
+
"precision": 0.9424749163879599,
|
380 |
+
"recall": 0.9692047198264458,
|
381 |
+
"support": 18899.0
|
382 |
+
},
|
383 |
+
"eval_O": {
|
384 |
+
"f1-score": 0.9127632580563309,
|
385 |
+
"precision": 0.9441469816272966,
|
386 |
+
"recall": 0.8833988212180747,
|
387 |
+
"support": 10180.0
|
388 |
+
},
|
389 |
+
"eval_accuracy": 0.9384274713289487,
|
390 |
+
"eval_loss": 0.29471203684806824,
|
391 |
+
"eval_macro avg": {
|
392 |
+
"f1-score": 0.9147919330606994,
|
393 |
+
"precision": 0.9074655876961675,
|
394 |
+
"recall": 0.9242690920629443,
|
395 |
+
"support": 30257.0
|
396 |
+
},
|
397 |
+
"eval_runtime": 4.6985,
|
398 |
+
"eval_samples_per_second": 17.24,
|
399 |
+
"eval_steps_per_second": 2.341,
|
400 |
+
"eval_weighted avg": {
|
401 |
+
"f1-score": 0.9381199518045186,
|
402 |
+
"precision": 0.9388833165494999,
|
403 |
+
"recall": 0.9384274713289487,
|
404 |
+
"support": 30257.0
|
405 |
+
},
|
406 |
+
"step": 810
|
407 |
+
},
|
408 |
+
{
|
409 |
+
"epoch": 11.0,
|
410 |
+
"eval_B": {
|
411 |
+
"f1-score": 0.875515251442704,
|
412 |
+
"precision": 0.8509615384615384,
|
413 |
+
"recall": 0.9015280135823429,
|
414 |
+
"support": 1178.0
|
415 |
+
},
|
416 |
+
"eval_I": {
|
417 |
+
"f1-score": 0.9575287538250502,
|
418 |
+
"precision": 0.9547582723972855,
|
419 |
+
"recall": 0.96031536060109,
|
420 |
+
"support": 18899.0
|
421 |
+
},
|
422 |
+
"eval_O": {
|
423 |
+
"f1-score": 0.9195242814667988,
|
424 |
+
"precision": 0.9278,
|
425 |
+
"recall": 0.9113948919449901,
|
426 |
+
"support": 10180.0
|
427 |
+
},
|
428 |
+
"eval_accuracy": 0.9415672406385299,
|
429 |
+
"eval_loss": 0.30941879749298096,
|
430 |
+
"eval_macro avg": {
|
431 |
+
"f1-score": 0.9175227622448511,
|
432 |
+
"precision": 0.9111732702862746,
|
433 |
+
"recall": 0.9244127553761411,
|
434 |
+
"support": 30257.0
|
435 |
+
},
|
436 |
+
"eval_runtime": 4.7017,
|
437 |
+
"eval_samples_per_second": 17.228,
|
438 |
+
"eval_steps_per_second": 2.34,
|
439 |
+
"eval_weighted avg": {
|
440 |
+
"f1-score": 0.9415490653426031,
|
441 |
+
"precision": 0.9416470001105195,
|
442 |
+
"recall": 0.9415672406385299,
|
443 |
+
"support": 30257.0
|
444 |
+
},
|
445 |
+
"step": 891
|
446 |
+
},
|
447 |
+
{
|
448 |
+
"epoch": 12.0,
|
449 |
+
"eval_B": {
|
450 |
+
"f1-score": 0.8818181818181817,
|
451 |
+
"precision": 0.8590982286634461,
|
452 |
+
"recall": 0.9057724957555179,
|
453 |
+
"support": 1178.0
|
454 |
+
},
|
455 |
+
"eval_I": {
|
456 |
+
"f1-score": 0.9542487087386278,
|
457 |
+
"precision": 0.9457436856875585,
|
458 |
+
"recall": 0.9629080903751521,
|
459 |
+
"support": 18899.0
|
460 |
+
},
|
461 |
+
"eval_O": {
|
462 |
+
"f1-score": 0.910740239562973,
|
463 |
+
"precision": 0.9297042873222142,
|
464 |
+
"recall": 0.8925343811394892,
|
465 |
+
"support": 10180.0
|
466 |
+
},
|
467 |
+
"eval_accuracy": 0.9370063125888224,
|
468 |
+
"eval_loss": 0.28610122203826904,
|
469 |
+
"eval_macro avg": {
|
470 |
+
"f1-score": 0.9156023767065942,
|
471 |
+
"precision": 0.9115154005577396,
|
472 |
+
"recall": 0.9204049890900531,
|
473 |
+
"support": 30257.0
|
474 |
+
},
|
475 |
+
"eval_runtime": 4.6911,
|
476 |
+
"eval_samples_per_second": 17.267,
|
477 |
+
"eval_steps_per_second": 2.345,
|
478 |
+
"eval_weighted avg": {
|
479 |
+
"f1-score": 0.9367902899621314,
|
480 |
+
"precision": 0.9369738332985704,
|
481 |
+
"recall": 0.9370063125888224,
|
482 |
+
"support": 30257.0
|
483 |
+
},
|
484 |
+
"step": 972
|
485 |
+
},
|
486 |
+
{
|
487 |
+
"epoch": 12.35,
|
488 |
+
"grad_norm": 0.9797911643981934,
|
489 |
+
"learning_rate": 1.506172839506173e-05,
|
490 |
+
"loss": 0.0233,
|
491 |
+
"step": 1000
|
492 |
+
},
|
493 |
+
{
|
494 |
+
"epoch": 13.0,
|
495 |
+
"eval_B": {
|
496 |
+
"f1-score": 0.8875154511742892,
|
497 |
+
"precision": 0.8622898318654924,
|
498 |
+
"recall": 0.9142614601018676,
|
499 |
+
"support": 1178.0
|
500 |
+
},
|
501 |
+
"eval_I": {
|
502 |
+
"f1-score": 0.9602009576889865,
|
503 |
+
"precision": 0.9497877627083549,
|
504 |
+
"recall": 0.9708450182549341,
|
505 |
+
"support": 18899.0
|
506 |
+
},
|
507 |
+
"eval_O": {
|
508 |
+
"f1-score": 0.9229994967287367,
|
509 |
+
"precision": 0.9463364293085655,
|
510 |
+
"recall": 0.9007858546168959,
|
511 |
+
"support": 10180.0
|
512 |
+
},
|
513 |
+
"eval_accuracy": 0.9450705621839575,
|
514 |
+
"eval_loss": 0.3311145305633545,
|
515 |
+
"eval_macro avg": {
|
516 |
+
"f1-score": 0.9235719685306708,
|
517 |
+
"precision": 0.9194713412941375,
|
518 |
+
"recall": 0.9286307776578991,
|
519 |
+
"support": 30257.0
|
520 |
+
},
|
521 |
+
"eval_runtime": 4.7187,
|
522 |
+
"eval_samples_per_second": 17.166,
|
523 |
+
"eval_steps_per_second": 2.331,
|
524 |
+
"eval_weighted avg": {
|
525 |
+
"f1-score": 0.9448546114137558,
|
526 |
+
"precision": 0.9452199887538072,
|
527 |
+
"recall": 0.9450705621839575,
|
528 |
+
"support": 30257.0
|
529 |
+
},
|
530 |
+
"step": 1053
|
531 |
+
},
|
532 |
+
{
|
533 |
+
"epoch": 14.0,
|
534 |
+
"eval_B": {
|
535 |
+
"f1-score": 0.8758762886597938,
|
536 |
+
"precision": 0.8516439454691259,
|
537 |
+
"recall": 0.9015280135823429,
|
538 |
+
"support": 1178.0
|
539 |
+
},
|
540 |
+
"eval_I": {
|
541 |
+
"f1-score": 0.9588910891089109,
|
542 |
+
"precision": 0.9569456155143339,
|
543 |
+
"recall": 0.9608444891264089,
|
544 |
+
"support": 18899.0
|
545 |
+
},
|
546 |
+
"eval_O": {
|
547 |
+
"f1-score": 0.9223310576827941,
|
548 |
+
"precision": 0.9290412597169623,
|
549 |
+
"recall": 0.9157170923379175,
|
550 |
+
"support": 10180.0
|
551 |
+
},
|
552 |
+
"eval_accuracy": 0.9433519516145025,
|
553 |
+
"eval_loss": 0.32673054933547974,
|
554 |
+
"eval_macro avg": {
|
555 |
+
"f1-score": 0.9190328118171663,
|
556 |
+
"precision": 0.9125436069001407,
|
557 |
+
"recall": 0.9260298650155564,
|
558 |
+
"support": 30257.0
|
559 |
+
},
|
560 |
+
"eval_runtime": 4.7171,
|
561 |
+
"eval_samples_per_second": 17.171,
|
562 |
+
"eval_steps_per_second": 2.332,
|
563 |
+
"eval_weighted avg": {
|
564 |
+
"f1-score": 0.9433584006451857,
|
565 |
+
"precision": 0.943457440568685,
|
566 |
+
"recall": 0.9433519516145025,
|
567 |
+
"support": 30257.0
|
568 |
+
},
|
569 |
+
"step": 1134
|
570 |
+
},
|
571 |
+
{
|
572 |
+
"epoch": 15.0,
|
573 |
+
"eval_B": {
|
574 |
+
"f1-score": 0.8844750709363599,
|
575 |
+
"precision": 0.8463925523661753,
|
576 |
+
"recall": 0.9261460101867572,
|
577 |
+
"support": 1178.0
|
578 |
+
},
|
579 |
+
"eval_I": {
|
580 |
+
"f1-score": 0.9554282158321882,
|
581 |
+
"precision": 0.9367500508440105,
|
582 |
+
"recall": 0.974866395047357,
|
583 |
+
"support": 18899.0
|
584 |
+
},
|
585 |
+
"eval_O": {
|
586 |
+
"f1-score": 0.9105749486652978,
|
587 |
+
"precision": 0.9536559139784946,
|
588 |
+
"recall": 0.8712180746561886,
|
589 |
+
"support": 10180.0
|
590 |
+
},
|
591 |
+
"eval_accuracy": 0.9380969692963612,
|
592 |
+
"eval_loss": 0.4276476800441742,
|
593 |
+
"eval_macro avg": {
|
594 |
+
"f1-score": 0.9168260784779486,
|
595 |
+
"precision": 0.9122661723962269,
|
596 |
+
"recall": 0.924076826630101,
|
597 |
+
"support": 30257.0
|
598 |
+
},
|
599 |
+
"eval_runtime": 4.6973,
|
600 |
+
"eval_samples_per_second": 17.244,
|
601 |
+
"eval_steps_per_second": 2.342,
|
602 |
+
"eval_weighted avg": {
|
603 |
+
"f1-score": 0.9375748574540862,
|
604 |
+
"precision": 0.9389201454833387,
|
605 |
+
"recall": 0.9380969692963612,
|
606 |
+
"support": 30257.0
|
607 |
+
},
|
608 |
+
"step": 1215
|
609 |
+
},
|
610 |
+
{
|
611 |
+
"epoch": 16.0,
|
612 |
+
"eval_B": {
|
613 |
+
"f1-score": 0.8840336134453782,
|
614 |
+
"precision": 0.8752079866888519,
|
615 |
+
"recall": 0.8930390492359932,
|
616 |
+
"support": 1178.0
|
617 |
+
},
|
618 |
+
"eval_I": {
|
619 |
+
"f1-score": 0.9589266737513285,
|
620 |
+
"precision": 0.9629688917346994,
|
621 |
+
"recall": 0.9549182496428382,
|
622 |
+
"support": 18899.0
|
623 |
+
},
|
624 |
+
"eval_O": {
|
625 |
+
"f1-score": 0.923489801893237,
|
626 |
+
"precision": 0.9174907892185379,
|
627 |
+
"recall": 0.9295677799607073,
|
628 |
+
"support": 10180.0
|
629 |
+
},
|
630 |
+
"eval_accuracy": 0.9439799054764186,
|
631 |
+
"eval_loss": 0.3447544574737549,
|
632 |
+
"eval_macro avg": {
|
633 |
+
"f1-score": 0.9221500296966479,
|
634 |
+
"precision": 0.9185558892140296,
|
635 |
+
"recall": 0.9258416929465129,
|
636 |
+
"support": 30257.0
|
637 |
+
},
|
638 |
+
"eval_runtime": 4.7359,
|
639 |
+
"eval_samples_per_second": 17.103,
|
640 |
+
"eval_steps_per_second": 2.323,
|
641 |
+
"eval_weighted avg": {
|
642 |
+
"f1-score": 0.9440880783665984,
|
643 |
+
"precision": 0.9442509279657028,
|
644 |
+
"recall": 0.9439799054764186,
|
645 |
+
"support": 30257.0
|
646 |
+
},
|
647 |
+
"step": 1296
|
648 |
+
},
|
649 |
+
{
|
650 |
+
"epoch": 17.0,
|
651 |
+
"eval_B": {
|
652 |
+
"f1-score": 0.8751040799333889,
|
653 |
+
"precision": 0.8586601307189542,
|
654 |
+
"recall": 0.8921901528013583,
|
655 |
+
"support": 1178.0
|
656 |
+
},
|
657 |
+
"eval_I": {
|
658 |
+
"f1-score": 0.9534606521336053,
|
659 |
+
"precision": 0.954598493688342,
|
660 |
+
"recall": 0.9523255198687761,
|
661 |
+
"support": 18899.0
|
662 |
+
},
|
663 |
+
"eval_O": {
|
664 |
+
"f1-score": 0.9118326047448303,
|
665 |
+
"precision": 0.9118773946360154,
|
666 |
+
"recall": 0.9117878192534381,
|
667 |
+
"support": 10180.0
|
668 |
+
},
|
669 |
+
"eval_accuracy": 0.9363453085236474,
|
670 |
+
"eval_loss": 0.3998367488384247,
|
671 |
+
"eval_macro avg": {
|
672 |
+
"f1-score": 0.9134657789372748,
|
673 |
+
"precision": 0.9083786730144373,
|
674 |
+
"recall": 0.9187678306411908,
|
675 |
+
"support": 30257.0
|
676 |
+
},
|
677 |
+
"eval_runtime": 4.7114,
|
678 |
+
"eval_samples_per_second": 17.192,
|
679 |
+
"eval_steps_per_second": 2.335,
|
680 |
+
"eval_weighted avg": {
|
681 |
+
"f1-score": 0.9364041837306049,
|
682 |
+
"precision": 0.936489752572877,
|
683 |
+
"recall": 0.9363453085236474,
|
684 |
+
"support": 30257.0
|
685 |
+
},
|
686 |
+
"step": 1377
|
687 |
+
},
|
688 |
+
{
|
689 |
+
"epoch": 18.0,
|
690 |
+
"eval_B": {
|
691 |
+
"f1-score": 0.8807644370585792,
|
692 |
+
"precision": 0.8624898291293734,
|
693 |
+
"recall": 0.8998302207130731,
|
694 |
+
"support": 1178.0
|
695 |
+
},
|
696 |
+
"eval_I": {
|
697 |
+
"f1-score": 0.958089514470979,
|
698 |
+
"precision": 0.9545669415410474,
|
699 |
+
"recall": 0.961638181914387,
|
700 |
+
"support": 18899.0
|
701 |
+
},
|
702 |
+
"eval_O": {
|
703 |
+
"f1-score": 0.9206207546234321,
|
704 |
+
"precision": 0.9294223646010612,
|
705 |
+
"recall": 0.9119842829076621,
|
706 |
+
"support": 10180.0
|
707 |
+
},
|
708 |
+
"eval_accuracy": 0.9425256965330336,
|
709 |
+
"eval_loss": 0.3564019203186035,
|
710 |
+
"eval_macro avg": {
|
711 |
+
"f1-score": 0.9198249020509968,
|
712 |
+
"precision": 0.915493045090494,
|
713 |
+
"recall": 0.9244842285117074,
|
714 |
+
"support": 30257.0
|
715 |
+
},
|
716 |
+
"eval_runtime": 4.6986,
|
717 |
+
"eval_samples_per_second": 17.239,
|
718 |
+
"eval_steps_per_second": 2.341,
|
719 |
+
"eval_weighted avg": {
|
720 |
+
"f1-score": 0.9424726021386316,
|
721 |
+
"precision": 0.9425221706890129,
|
722 |
+
"recall": 0.9425256965330336,
|
723 |
+
"support": 30257.0
|
724 |
+
},
|
725 |
+
"step": 1458
|
726 |
+
},
|
727 |
+
{
|
728 |
+
"epoch": 18.52,
|
729 |
+
"grad_norm": 0.01765240728855133,
|
730 |
+
"learning_rate": 1.2592592592592593e-05,
|
731 |
+
"loss": 0.0067,
|
732 |
+
"step": 1500
|
733 |
+
},
|
734 |
+
{
|
735 |
+
"epoch": 19.0,
|
736 |
+
"eval_B": {
|
737 |
+
"f1-score": 0.8756097560975611,
|
738 |
+
"precision": 0.8400936037441498,
|
739 |
+
"recall": 0.9142614601018676,
|
740 |
+
"support": 1178.0
|
741 |
+
},
|
742 |
+
"eval_I": {
|
743 |
+
"f1-score": 0.9563048159235334,
|
744 |
+
"precision": 0.9492258770786633,
|
745 |
+
"recall": 0.9634901317530028,
|
746 |
+
"support": 18899.0
|
747 |
+
},
|
748 |
+
"eval_O": {
|
749 |
+
"f1-score": 0.9161826557180053,
|
750 |
+
"precision": 0.9343341503267973,
|
751 |
+
"recall": 0.8987229862475442,
|
752 |
+
"support": 10180.0
|
753 |
+
},
|
754 |
+
"eval_accuracy": 0.9397825296625574,
|
755 |
+
"eval_loss": 0.41976475715637207,
|
756 |
+
"eval_macro avg": {
|
757 |
+
"f1-score": 0.9160324092463666,
|
758 |
+
"precision": 0.9078845437165368,
|
759 |
+
"recall": 0.9254915260341382,
|
760 |
+
"support": 30257.0
|
761 |
+
},
|
762 |
+
"eval_runtime": 4.7401,
|
763 |
+
"eval_samples_per_second": 17.088,
|
764 |
+
"eval_steps_per_second": 2.321,
|
765 |
+
"eval_weighted avg": {
|
766 |
+
"f1-score": 0.9396639602085823,
|
767 |
+
"precision": 0.9399666776761432,
|
768 |
+
"recall": 0.9397825296625574,
|
769 |
+
"support": 30257.0
|
770 |
+
},
|
771 |
+
"step": 1539
|
772 |
+
},
|
773 |
+
{
|
774 |
+
"epoch": 20.0,
|
775 |
+
"eval_B": {
|
776 |
+
"f1-score": 0.8851099128992119,
|
777 |
+
"precision": 0.8653690186536902,
|
778 |
+
"recall": 0.9057724957555179,
|
779 |
+
"support": 1178.0
|
780 |
+
},
|
781 |
+
"eval_I": {
|
782 |
+
"f1-score": 0.9574706357267495,
|
783 |
+
"precision": 0.9427633603446507,
|
784 |
+
"recall": 0.972644055241018,
|
785 |
+
"support": 18899.0
|
786 |
+
},
|
787 |
+
"eval_O": {
|
788 |
+
"f1-score": 0.9156602050137015,
|
789 |
+
"precision": 0.9470921688011757,
|
790 |
+
"recall": 0.8862475442043222,
|
791 |
+
"support": 10180.0
|
792 |
+
},
|
793 |
+
"eval_accuracy": 0.9409723369798725,
|
794 |
+
"eval_loss": 0.4046960175037384,
|
795 |
+
"eval_macro avg": {
|
796 |
+
"f1-score": 0.9194135845465543,
|
797 |
+
"precision": 0.9184081825998388,
|
798 |
+
"recall": 0.921554698400286,
|
799 |
+
"support": 30257.0
|
800 |
+
},
|
801 |
+
"eval_runtime": 4.6993,
|
802 |
+
"eval_samples_per_second": 17.237,
|
803 |
+
"eval_steps_per_second": 2.341,
|
804 |
+
"eval_weighted avg": {
|
805 |
+
"f1-score": 0.9405862414989786,
|
806 |
+
"precision": 0.9412065878812694,
|
807 |
+
"recall": 0.9409723369798725,
|
808 |
+
"support": 30257.0
|
809 |
+
},
|
810 |
+
"step": 1620
|
811 |
+
},
|
812 |
+
{
|
813 |
+
"epoch": 21.0,
|
814 |
+
"eval_B": {
|
815 |
+
"f1-score": 0.8877928483353884,
|
816 |
+
"precision": 0.8605577689243028,
|
817 |
+
"recall": 0.9168081494057725,
|
818 |
+
"support": 1178.0
|
819 |
+
},
|
820 |
+
"eval_I": {
|
821 |
+
"f1-score": 0.9589888818963709,
|
822 |
+
"precision": 0.9505640172584082,
|
823 |
+
"recall": 0.9675644213979576,
|
824 |
+
"support": 18899.0
|
825 |
+
},
|
826 |
+
"eval_O": {
|
827 |
+
"f1-score": 0.9206317372775131,
|
828 |
+
"precision": 0.9401945724526369,
|
829 |
+
"recall": 0.9018664047151277,
|
830 |
+
"support": 10180.0
|
831 |
+
},
|
832 |
+
"eval_accuracy": 0.9434841524275375,
|
833 |
+
"eval_loss": 0.3954521417617798,
|
834 |
+
"eval_macro avg": {
|
835 |
+
"f1-score": 0.9224711558364241,
|
836 |
+
"precision": 0.9171054528784492,
|
837 |
+
"recall": 0.9287463251729525,
|
838 |
+
"support": 30257.0
|
839 |
+
},
|
840 |
+
"eval_runtime": 4.703,
|
841 |
+
"eval_samples_per_second": 17.223,
|
842 |
+
"eval_steps_per_second": 2.339,
|
843 |
+
"eval_weighted avg": {
|
844 |
+
"f1-score": 0.9433116944767718,
|
845 |
+
"precision": 0.9435709806500092,
|
846 |
+
"recall": 0.9434841524275375,
|
847 |
+
"support": 30257.0
|
848 |
+
},
|
849 |
+
"step": 1701
|
850 |
+
},
|
851 |
+
{
|
852 |
+
"epoch": 22.0,
|
853 |
+
"eval_B": {
|
854 |
+
"f1-score": 0.882280049566295,
|
855 |
+
"precision": 0.8592115848753017,
|
856 |
+
"recall": 0.9066213921901528,
|
857 |
+
"support": 1178.0
|
858 |
+
},
|
859 |
+
"eval_I": {
|
860 |
+
"f1-score": 0.955072275035812,
|
861 |
+
"precision": 0.9404493229380386,
|
862 |
+
"recall": 0.9701571511720197,
|
863 |
+
"support": 18899.0
|
864 |
+
},
|
865 |
+
"eval_O": {
|
866 |
+
"f1-score": 0.9106508274951772,
|
867 |
+
"precision": 0.9423198150872032,
|
868 |
+
"recall": 0.881041257367387,
|
869 |
+
"support": 10180.0
|
870 |
+
},
|
871 |
+
"eval_accuracy": 0.9377003668572562,
|
872 |
+
"eval_loss": 0.45334869623184204,
|
873 |
+
"eval_macro avg": {
|
874 |
+
"f1-score": 0.9160010506990948,
|
875 |
+
"precision": 0.9139935743001812,
|
876 |
+
"recall": 0.9192732669098532,
|
877 |
+
"support": 30257.0
|
878 |
+
},
|
879 |
+
"eval_runtime": 4.7089,
|
880 |
+
"eval_samples_per_second": 17.201,
|
881 |
+
"eval_steps_per_second": 2.336,
|
882 |
+
"eval_weighted avg": {
|
883 |
+
"f1-score": 0.9372926016522395,
|
884 |
+
"precision": 0.9379158118378169,
|
885 |
+
"recall": 0.9377003668572562,
|
886 |
+
"support": 30257.0
|
887 |
+
},
|
888 |
+
"step": 1782
|
889 |
+
},
|
890 |
+
{
|
891 |
+
"epoch": 23.0,
|
892 |
+
"eval_B": {
|
893 |
+
"f1-score": 0.8881632653061224,
|
894 |
+
"precision": 0.8553459119496856,
|
895 |
+
"recall": 0.9235993208828522,
|
896 |
+
"support": 1178.0
|
897 |
+
},
|
898 |
+
"eval_I": {
|
899 |
+
"f1-score": 0.9594668757350059,
|
900 |
+
"precision": 0.947898378601673,
|
901 |
+
"recall": 0.9713212339277211,
|
902 |
+
"support": 18899.0
|
903 |
+
},
|
904 |
+
"eval_O": {
|
905 |
+
"f1-score": 0.9211576342239507,
|
906 |
+
"precision": 0.9480195446512112,
|
907 |
+
"recall": 0.8957760314341847,
|
908 |
+
"support": 10180.0
|
909 |
+
},
|
910 |
+
"eval_accuracy": 0.9440460058829362,
|
911 |
+
"eval_loss": 0.43748563528060913,
|
912 |
+
"eval_macro avg": {
|
913 |
+
"f1-score": 0.9229292584216929,
|
914 |
+
"precision": 0.9170879450675233,
|
915 |
+
"recall": 0.9302321954149194,
|
916 |
+
"support": 30257.0
|
917 |
+
},
|
918 |
+
"eval_runtime": 4.714,
|
919 |
+
"eval_samples_per_second": 17.183,
|
920 |
+
"eval_steps_per_second": 2.333,
|
921 |
+
"eval_weighted avg": {
|
922 |
+
"f1-score": 0.9438016170620454,
|
923 |
+
"precision": 0.9443357869590202,
|
924 |
+
"recall": 0.9440460058829362,
|
925 |
+
"support": 30257.0
|
926 |
+
},
|
927 |
+
"step": 1863
|
928 |
+
},
|
929 |
+
{
|
930 |
+
"epoch": 24.0,
|
931 |
+
"eval_B": {
|
932 |
+
"f1-score": 0.8849630238290879,
|
933 |
+
"precision": 0.857484076433121,
|
934 |
+
"recall": 0.9142614601018676,
|
935 |
+
"support": 1178.0
|
936 |
+
},
|
937 |
+
"eval_I": {
|
938 |
+
"f1-score": 0.960634026800146,
|
939 |
+
"precision": 0.9468112441543759,
|
940 |
+
"recall": 0.974866395047357,
|
941 |
+
"support": 18899.0
|
942 |
+
},
|
943 |
+
"eval_O": {
|
944 |
+
"f1-score": 0.9227258898691816,
|
945 |
+
"precision": 0.9535736742821211,
|
946 |
+
"recall": 0.8938113948919449,
|
947 |
+
"support": 10180.0
|
948 |
+
},
|
949 |
+
"eval_accuracy": 0.9452358132002512,
|
950 |
+
"eval_loss": 0.4326893985271454,
|
951 |
+
"eval_macro avg": {
|
952 |
+
"f1-score": 0.9227743134994718,
|
953 |
+
"precision": 0.9192896649565393,
|
954 |
+
"recall": 0.9276464166803898,
|
955 |
+
"support": 30257.0
|
956 |
+
},
|
957 |
+
"eval_runtime": 4.6967,
|
958 |
+
"eval_samples_per_second": 17.246,
|
959 |
+
"eval_steps_per_second": 2.342,
|
960 |
+
"eval_weighted avg": {
|
961 |
+
"f1-score": 0.9449336838891791,
|
962 |
+
"precision": 0.9456086839245054,
|
963 |
+
"recall": 0.9452358132002512,
|
964 |
+
"support": 30257.0
|
965 |
+
},
|
966 |
+
"step": 1944
|
967 |
+
},
|
968 |
+
{
|
969 |
+
"epoch": 24.69,
|
970 |
+
"grad_norm": 0.07635599374771118,
|
971 |
+
"learning_rate": 1.0123456790123458e-05,
|
972 |
+
"loss": 0.0035,
|
973 |
+
"step": 2000
|
974 |
+
},
|
975 |
+
{
|
976 |
+
"epoch": 25.0,
|
977 |
+
"eval_B": {
|
978 |
+
"f1-score": 0.8899958488999585,
|
979 |
+
"precision": 0.8708367181153533,
|
980 |
+
"recall": 0.9100169779286927,
|
981 |
+
"support": 1178.0
|
982 |
+
},
|
983 |
+
"eval_I": {
|
984 |
+
"f1-score": 0.9602969235996759,
|
985 |
+
"precision": 0.9488636363636364,
|
986 |
+
"recall": 0.9720091010106355,
|
987 |
+
"support": 18899.0
|
988 |
+
},
|
989 |
+
"eval_O": {
|
990 |
+
"f1-score": 0.92240249924418,
|
991 |
+
"precision": 0.946927374301676,
|
992 |
+
"recall": 0.8991159135559922,
|
993 |
+
"support": 10180.0
|
994 |
+
},
|
995 |
+
"eval_accuracy": 0.9450705621839575,
|
996 |
+
"eval_loss": 0.41382941603660583,
|
997 |
+
"eval_macro avg": {
|
998 |
+
"f1-score": 0.9242317572479383,
|
999 |
+
"precision": 0.9222092429268886,
|
1000 |
+
"recall": 0.9270473308317735,
|
1001 |
+
"support": 30257.0
|
1002 |
+
},
|
1003 |
+
"eval_runtime": 4.755,
|
1004 |
+
"eval_samples_per_second": 17.035,
|
1005 |
+
"eval_steps_per_second": 2.313,
|
1006 |
+
"eval_weighted avg": {
|
1007 |
+
"f1-score": 0.9448102624655512,
|
1008 |
+
"precision": 0.9451743460345479,
|
1009 |
+
"recall": 0.9450705621839575,
|
1010 |
+
"support": 30257.0
|
1011 |
+
},
|
1012 |
+
"step": 2025
|
1013 |
+
},
|
1014 |
+
{
|
1015 |
+
"epoch": 26.0,
|
1016 |
+
"eval_B": {
|
1017 |
+
"f1-score": 0.885489871847871,
|
1018 |
+
"precision": 0.863013698630137,
|
1019 |
+
"recall": 0.9091680814940577,
|
1020 |
+
"support": 1178.0
|
1021 |
+
},
|
1022 |
+
"eval_I": {
|
1023 |
+
"f1-score": 0.9624506968183014,
|
1024 |
+
"precision": 0.9566149181955987,
|
1025 |
+
"recall": 0.9683581141859358,
|
1026 |
+
"support": 18899.0
|
1027 |
+
},
|
1028 |
+
"eval_O": {
|
1029 |
+
"f1-score": 0.9278843757787192,
|
1030 |
+
"precision": 0.9417298937784522,
|
1031 |
+
"recall": 0.9144400785854617,
|
1032 |
+
"support": 10180.0
|
1033 |
+
},
|
1034 |
+
"eval_accuracy": 0.9479128796642099,
|
1035 |
+
"eval_loss": 0.37765103578567505,
|
1036 |
+
"eval_macro avg": {
|
1037 |
+
"f1-score": 0.9252749814816305,
|
1038 |
+
"precision": 0.9204528368680626,
|
1039 |
+
"recall": 0.9306554247551517,
|
1040 |
+
"support": 30257.0
|
1041 |
+
},
|
1042 |
+
"eval_runtime": 4.7261,
|
1043 |
+
"eval_samples_per_second": 17.139,
|
1044 |
+
"eval_steps_per_second": 2.327,
|
1045 |
+
"eval_weighted avg": {
|
1046 |
+
"f1-score": 0.9478244946172202,
|
1047 |
+
"precision": 0.9479626464827831,
|
1048 |
+
"recall": 0.9479128796642099,
|
1049 |
+
"support": 30257.0
|
1050 |
+
},
|
1051 |
+
"step": 2106
|
1052 |
+
},
|
1053 |
+
{
|
1054 |
+
"epoch": 27.0,
|
1055 |
+
"eval_B": {
|
1056 |
+
"f1-score": 0.8870500620604055,
|
1057 |
+
"precision": 0.8652138821630347,
|
1058 |
+
"recall": 0.9100169779286927,
|
1059 |
+
"support": 1178.0
|
1060 |
+
},
|
1061 |
+
"eval_I": {
|
1062 |
+
"f1-score": 0.9591804653112554,
|
1063 |
+
"precision": 0.949971456743993,
|
1064 |
+
"recall": 0.9685697655960633,
|
1065 |
+
"support": 18899.0
|
1066 |
+
},
|
1067 |
+
"eval_O": {
|
1068 |
+
"f1-score": 0.9205680164584273,
|
1069 |
+
"precision": 0.940917017129962,
|
1070 |
+
"recall": 0.9010805500982318,
|
1071 |
+
"support": 10180.0
|
1072 |
+
},
|
1073 |
+
"eval_accuracy": 0.9435833030373136,
|
1074 |
+
"eval_loss": 0.44144001603126526,
|
1075 |
+
"eval_macro avg": {
|
1076 |
+
"f1-score": 0.922266181276696,
|
1077 |
+
"precision": 0.9187007853456634,
|
1078 |
+
"recall": 0.926555764540996,
|
1079 |
+
"support": 30257.0
|
1080 |
+
},
|
1081 |
+
"eval_runtime": 4.7203,
|
1082 |
+
"eval_samples_per_second": 17.16,
|
1083 |
+
"eval_steps_per_second": 2.33,
|
1084 |
+
"eval_weighted avg": {
|
1085 |
+
"f1-score": 0.9433810025637493,
|
1086 |
+
"precision": 0.9436252023854246,
|
1087 |
+
"recall": 0.9435833030373136,
|
1088 |
+
"support": 30257.0
|
1089 |
+
},
|
1090 |
+
"step": 2187
|
1091 |
+
},
|
1092 |
+
{
|
1093 |
+
"epoch": 28.0,
|
1094 |
+
"eval_B": {
|
1095 |
+
"f1-score": 0.8864954432477217,
|
1096 |
+
"precision": 0.8656957928802589,
|
1097 |
+
"recall": 0.9083191850594228,
|
1098 |
+
"support": 1178.0
|
1099 |
+
},
|
1100 |
+
"eval_I": {
|
1101 |
+
"f1-score": 0.9565172351280657,
|
1102 |
+
"precision": 0.9367454600791316,
|
1103 |
+
"recall": 0.9771416477062278,
|
1104 |
+
"support": 18899.0
|
1105 |
+
},
|
1106 |
+
"eval_O": {
|
1107 |
+
"f1-score": 0.912197875506748,
|
1108 |
+
"precision": 0.9549801224884495,
|
1109 |
+
"recall": 0.8730844793713163,
|
1110 |
+
"support": 10180.0
|
1111 |
+
},
|
1112 |
+
"eval_accuracy": 0.9394520276299699,
|
1113 |
+
"eval_loss": 0.5108960270881653,
|
1114 |
+
"eval_macro avg": {
|
1115 |
+
"f1-score": 0.9184035179608451,
|
1116 |
+
"precision": 0.9191404584826133,
|
1117 |
+
"recall": 0.9195151040456556,
|
1118 |
+
"support": 30257.0
|
1119 |
+
},
|
1120 |
+
"eval_runtime": 4.736,
|
1121 |
+
"eval_samples_per_second": 17.103,
|
1122 |
+
"eval_steps_per_second": 2.323,
|
1123 |
+
"eval_weighted avg": {
|
1124 |
+
"f1-score": 0.9388797710113306,
|
1125 |
+
"precision": 0.9401143451426405,
|
1126 |
+
"recall": 0.9394520276299699,
|
1127 |
+
"support": 30257.0
|
1128 |
+
},
|
1129 |
+
"step": 2268
|
1130 |
+
},
|
1131 |
+
{
|
1132 |
+
"epoch": 29.0,
|
1133 |
+
"eval_B": {
|
1134 |
+
"f1-score": 0.8870292887029289,
|
1135 |
+
"precision": 0.8745874587458746,
|
1136 |
+
"recall": 0.8998302207130731,
|
1137 |
+
"support": 1178.0
|
1138 |
+
},
|
1139 |
+
"eval_I": {
|
1140 |
+
"f1-score": 0.9617674295541738,
|
1141 |
+
"precision": 0.9618437764606266,
|
1142 |
+
"recall": 0.9616910947669188,
|
1143 |
+
"support": 18899.0
|
1144 |
+
},
|
1145 |
+
"eval_O": {
|
1146 |
+
"f1-score": 0.9281322249003886,
|
1147 |
+
"precision": 0.9295497093309686,
|
1148 |
+
"recall": 0.9267190569744598,
|
1149 |
+
"support": 10180.0
|
1150 |
+
},
|
1151 |
+
"eval_accuracy": 0.9475162772251049,
|
1152 |
+
"eval_loss": 0.41041621565818787,
|
1153 |
+
"eval_macro avg": {
|
1154 |
+
"f1-score": 0.9256429810524972,
|
1155 |
+
"precision": 0.9219936481791565,
|
1156 |
+
"recall": 0.9294134574848173,
|
1157 |
+
"support": 30257.0
|
1158 |
+
},
|
1159 |
+
"eval_runtime": 4.7029,
|
1160 |
+
"eval_samples_per_second": 17.224,
|
1161 |
+
"eval_steps_per_second": 2.339,
|
1162 |
+
"eval_weighted avg": {
|
1163 |
+
"f1-score": 0.94754103852736,
|
1164 |
+
"precision": 0.9475812406623685,
|
1165 |
+
"recall": 0.9475162772251049,
|
1166 |
+
"support": 30257.0
|
1167 |
+
},
|
1168 |
+
"step": 2349
|
1169 |
+
},
|
1170 |
+
{
|
1171 |
+
"epoch": 30.0,
|
1172 |
+
"eval_B": {
|
1173 |
+
"f1-score": 0.885939444214019,
|
1174 |
+
"precision": 0.8661800486618005,
|
1175 |
+
"recall": 0.9066213921901528,
|
1176 |
+
"support": 1178.0
|
1177 |
+
},
|
1178 |
+
"eval_I": {
|
1179 |
+
"f1-score": 0.959851047649018,
|
1180 |
+
"precision": 0.9514921493189145,
|
1181 |
+
"recall": 0.9683581141859358,
|
1182 |
+
"support": 18899.0
|
1183 |
+
},
|
1184 |
+
"eval_O": {
|
1185 |
+
"f1-score": 0.9222834251377066,
|
1186 |
+
"precision": 0.9406537282941777,
|
1187 |
+
"recall": 0.9046168958742633,
|
1188 |
+
"support": 10180.0
|
1189 |
+
},
|
1190 |
+
"eval_accuracy": 0.9445087087285586,
|
1191 |
+
"eval_loss": 0.4500040113925934,
|
1192 |
+
"eval_macro avg": {
|
1193 |
+
"f1-score": 0.9226913056669145,
|
1194 |
+
"precision": 0.9194419754249642,
|
1195 |
+
"recall": 0.9265321340834506,
|
1196 |
+
"support": 30257.0
|
1197 |
+
},
|
1198 |
+
"eval_runtime": 4.7043,
|
1199 |
+
"eval_samples_per_second": 17.218,
|
1200 |
+
"eval_steps_per_second": 2.338,
|
1201 |
+
"eval_weighted avg": {
|
1202 |
+
"f1-score": 0.9443337701260784,
|
1203 |
+
"precision": 0.9445240830662821,
|
1204 |
+
"recall": 0.9445087087285586,
|
1205 |
+
"support": 30257.0
|
1206 |
+
},
|
1207 |
+
"step": 2430
|
1208 |
+
},
|
1209 |
+
{
|
1210 |
+
"epoch": 30.86,
|
1211 |
+
"grad_norm": 0.011806252412497997,
|
1212 |
+
"learning_rate": 7.654320987654322e-06,
|
1213 |
+
"loss": 0.002,
|
1214 |
+
"step": 2500
|
1215 |
+
},
|
1216 |
+
{
|
1217 |
+
"epoch": 31.0,
|
1218 |
+
"eval_B": {
|
1219 |
+
"f1-score": 0.8837792642140467,
|
1220 |
+
"precision": 0.8706754530477759,
|
1221 |
+
"recall": 0.8972835314091681,
|
1222 |
+
"support": 1178.0
|
1223 |
+
},
|
1224 |
+
"eval_I": {
|
1225 |
+
"f1-score": 0.9593350046180235,
|
1226 |
+
"precision": 0.9568856601389766,
|
1227 |
+
"recall": 0.9617969204719826,
|
1228 |
+
"support": 18899.0
|
1229 |
+
},
|
1230 |
+
"eval_O": {
|
1231 |
+
"f1-score": 0.9225292925297869,
|
1232 |
+
"precision": 0.9286354135562854,
|
1233 |
+
"recall": 0.9165029469548134,
|
1234 |
+
"support": 10180.0
|
1235 |
+
},
|
1236 |
+
"eval_accuracy": 0.9440460058829362,
|
1237 |
+
"eval_loss": 0.4298489987850189,
|
1238 |
+
"eval_macro avg": {
|
1239 |
+
"f1-score": 0.9218811871206191,
|
1240 |
+
"precision": 0.9187321755810127,
|
1241 |
+
"recall": 0.9251944662786548,
|
1242 |
+
"support": 30257.0
|
1243 |
+
},
|
1244 |
+
"eval_runtime": 4.7086,
|
1245 |
+
"eval_samples_per_second": 17.203,
|
1246 |
+
"eval_steps_per_second": 2.336,
|
1247 |
+
"eval_weighted avg": {
|
1248 |
+
"f1-score": 0.9440100612576726,
|
1249 |
+
"precision": 0.9440244004580688,
|
1250 |
+
"recall": 0.9440460058829362,
|
1251 |
+
"support": 30257.0
|
1252 |
+
},
|
1253 |
+
"step": 2511
|
1254 |
+
},
|
1255 |
+
{
|
1256 |
+
"epoch": 32.0,
|
1257 |
+
"eval_B": {
|
1258 |
+
"f1-score": 0.8834154351395731,
|
1259 |
+
"precision": 0.8553259141494436,
|
1260 |
+
"recall": 0.9134125636672326,
|
1261 |
+
"support": 1178.0
|
1262 |
+
},
|
1263 |
+
"eval_I": {
|
1264 |
+
"f1-score": 0.956920113491423,
|
1265 |
+
"precision": 0.941746080541039,
|
1266 |
+
"recall": 0.9725911423884862,
|
1267 |
+
"support": 18899.0
|
1268 |
+
},
|
1269 |
+
"eval_O": {
|
1270 |
+
"f1-score": 0.9147042368139973,
|
1271 |
+
"precision": 0.948423162113701,
|
1272 |
+
"recall": 0.8833005893909627,
|
1273 |
+
"support": 10180.0
|
1274 |
+
},
|
1275 |
+
"eval_accuracy": 0.9402452325081799,
|
1276 |
+
"eval_loss": 0.47600796818733215,
|
1277 |
+
"eval_macro avg": {
|
1278 |
+
"f1-score": 0.9183465951483312,
|
1279 |
+
"precision": 0.9151650522680613,
|
1280 |
+
"recall": 0.9231014318155605,
|
1281 |
+
"support": 30257.0
|
1282 |
+
},
|
1283 |
+
"eval_runtime": 4.7349,
|
1284 |
+
"eval_samples_per_second": 17.107,
|
1285 |
+
"eval_steps_per_second": 2.323,
|
1286 |
+
"eval_weighted avg": {
|
1287 |
+
"f1-score": 0.9398547687555049,
|
1288 |
+
"precision": 0.9406279833866747,
|
1289 |
+
"recall": 0.9402452325081799,
|
1290 |
+
"support": 30257.0
|
1291 |
+
},
|
1292 |
+
"step": 2592
|
1293 |
+
},
|
1294 |
+
{
|
1295 |
+
"epoch": 33.0,
|
1296 |
+
"eval_B": {
|
1297 |
+
"f1-score": 0.8870703764320785,
|
1298 |
+
"precision": 0.8562401263823065,
|
1299 |
+
"recall": 0.9202037351443124,
|
1300 |
+
"support": 1178.0
|
1301 |
+
},
|
1302 |
+
"eval_I": {
|
1303 |
+
"f1-score": 0.9574185483240878,
|
1304 |
+
"precision": 0.9427120730331316,
|
1305 |
+
"recall": 0.9725911423884862,
|
1306 |
+
"support": 18899.0
|
1307 |
+
},
|
1308 |
+
"eval_O": {
|
1309 |
+
"f1-score": 0.9158745488740914,
|
1310 |
+
"precision": 0.9490150637311703,
|
1311 |
+
"recall": 0.8849705304518664,
|
1312 |
+
"support": 10180.0
|
1313 |
+
},
|
1314 |
+
"eval_accuracy": 0.9410714875896486,
|
1315 |
+
"eval_loss": 0.4852244555950165,
|
1316 |
+
"eval_macro avg": {
|
1317 |
+
"f1-score": 0.9201211578767525,
|
1318 |
+
"precision": 0.9159890877155362,
|
1319 |
+
"recall": 0.9259218026615551,
|
1320 |
+
"support": 30257.0
|
1321 |
+
},
|
1322 |
+
"eval_runtime": 4.7125,
|
1323 |
+
"eval_samples_per_second": 17.188,
|
1324 |
+
"eval_steps_per_second": 2.334,
|
1325 |
+
"eval_weighted avg": {
|
1326 |
+
"f1-score": 0.9407021501058325,
|
1327 |
+
"precision": 0.9414660966359792,
|
1328 |
+
"recall": 0.9410714875896486,
|
1329 |
+
"support": 30257.0
|
1330 |
+
},
|
1331 |
+
"step": 2673
|
1332 |
+
},
|
1333 |
+
{
|
1334 |
+
"epoch": 34.0,
|
1335 |
+
"eval_B": {
|
1336 |
+
"f1-score": 0.8844884488448845,
|
1337 |
+
"precision": 0.8603531300160514,
|
1338 |
+
"recall": 0.9100169779286927,
|
1339 |
+
"support": 1178.0
|
1340 |
+
},
|
1341 |
+
"eval_I": {
|
1342 |
+
"f1-score": 0.9582158153139038,
|
1343 |
+
"precision": 0.9460114474294848,
|
1344 |
+
"recall": 0.9707391925498704,
|
1345 |
+
"support": 18899.0
|
1346 |
+
},
|
1347 |
+
"eval_O": {
|
1348 |
+
"f1-score": 0.9180725325790483,
|
1349 |
+
"precision": 0.9448949885631108,
|
1350 |
+
"recall": 0.8927308447937131,
|
1351 |
+
"support": 10180.0
|
1352 |
+
},
|
1353 |
+
"eval_accuracy": 0.9421290940939286,
|
1354 |
+
"eval_loss": 0.4915787875652313,
|
1355 |
+
"eval_macro avg": {
|
1356 |
+
"f1-score": 0.9202589322459455,
|
1357 |
+
"precision": 0.9170865220028824,
|
1358 |
+
"recall": 0.9244956717574254,
|
1359 |
+
"support": 30257.0
|
1360 |
+
},
|
1361 |
+
"eval_runtime": 4.7166,
|
1362 |
+
"eval_samples_per_second": 17.173,
|
1363 |
+
"eval_steps_per_second": 2.332,
|
1364 |
+
"eval_weighted avg": {
|
1365 |
+
"f1-score": 0.9418391270784101,
|
1366 |
+
"precision": 0.9423008664342536,
|
1367 |
+
"recall": 0.9421290940939286,
|
1368 |
+
"support": 30257.0
|
1369 |
+
},
|
1370 |
+
"step": 2754
|
1371 |
+
},
|
1372 |
+
{
|
1373 |
+
"epoch": 35.0,
|
1374 |
+
"eval_B": {
|
1375 |
+
"f1-score": 0.8843314191960623,
|
1376 |
+
"precision": 0.8555555555555555,
|
1377 |
+
"recall": 0.9151103565365025,
|
1378 |
+
"support": 1178.0
|
1379 |
+
},
|
1380 |
+
"eval_I": {
|
1381 |
+
"f1-score": 0.9573253743847523,
|
1382 |
+
"precision": 0.947452971964554,
|
1383 |
+
"recall": 0.9674056828403619,
|
1384 |
+
"support": 18899.0
|
1385 |
+
},
|
1386 |
+
"eval_O": {
|
1387 |
+
"f1-score": 0.9170020120724346,
|
1388 |
+
"precision": 0.9396907216494845,
|
1389 |
+
"recall": 0.8953831041257367,
|
1390 |
+
"support": 10180.0
|
1391 |
+
},
|
1392 |
+
"eval_accuracy": 0.9411375879961662,
|
1393 |
+
"eval_loss": 0.48497098684310913,
|
1394 |
+
"eval_macro avg": {
|
1395 |
+
"f1-score": 0.9195529352177497,
|
1396 |
+
"precision": 0.9142330830565314,
|
1397 |
+
"recall": 0.9259663811675337,
|
1398 |
+
"support": 30257.0
|
1399 |
+
},
|
1400 |
+
"eval_runtime": 4.7167,
|
1401 |
+
"eval_samples_per_second": 17.173,
|
1402 |
+
"eval_steps_per_second": 2.332,
|
1403 |
+
"eval_weighted avg": {
|
1404 |
+
"f1-score": 0.9409166521865281,
|
1405 |
+
"precision": 0.9412634996197344,
|
1406 |
+
"recall": 0.9411375879961662,
|
1407 |
+
"support": 30257.0
|
1408 |
+
},
|
1409 |
+
"step": 2835
|
1410 |
+
},
|
1411 |
+
{
|
1412 |
+
"epoch": 36.0,
|
1413 |
+
"eval_B": {
|
1414 |
+
"f1-score": 0.8841237113402063,
|
1415 |
+
"precision": 0.859663191659984,
|
1416 |
+
"recall": 0.9100169779286927,
|
1417 |
+
"support": 1178.0
|
1418 |
+
},
|
1419 |
+
"eval_I": {
|
1420 |
+
"f1-score": 0.9592617836732553,
|
1421 |
+
"precision": 0.9505897022912662,
|
1422 |
+
"recall": 0.9680935499232763,
|
1423 |
+
"support": 18899.0
|
1424 |
+
},
|
1425 |
+
"eval_O": {
|
1426 |
+
"f1-score": 0.9209246352103494,
|
1427 |
+
"precision": 0.9405920311379699,
|
1428 |
+
"recall": 0.9020628683693517,
|
1429 |
+
"support": 10180.0
|
1430 |
+
},
|
1431 |
+
"eval_accuracy": 0.9436163532405725,
|
1432 |
+
"eval_loss": 0.46191689372062683,
|
1433 |
+
"eval_macro avg": {
|
1434 |
+
"f1-score": 0.9214367100746036,
|
1435 |
+
"precision": 0.9169483083630734,
|
1436 |
+
"recall": 0.9267244654071071,
|
1437 |
+
"support": 30257.0
|
1438 |
+
},
|
1439 |
+
"eval_runtime": 4.711,
|
1440 |
+
"eval_samples_per_second": 17.194,
|
1441 |
+
"eval_steps_per_second": 2.335,
|
1442 |
+
"eval_weighted avg": {
|
1443 |
+
"f1-score": 0.9434378480365194,
|
1444 |
+
"precision": 0.9436859206253968,
|
1445 |
+
"recall": 0.9436163532405725,
|
1446 |
+
"support": 30257.0
|
1447 |
+
},
|
1448 |
+
"step": 2916
|
1449 |
+
},
|
1450 |
+
{
|
1451 |
+
"epoch": 37.0,
|
1452 |
+
"eval_B": {
|
1453 |
+
"f1-score": 0.8868778280542986,
|
1454 |
+
"precision": 0.8603351955307262,
|
1455 |
+
"recall": 0.9151103565365025,
|
1456 |
+
"support": 1178.0
|
1457 |
+
},
|
1458 |
+
"eval_I": {
|
1459 |
+
"f1-score": 0.9592424004604196,
|
1460 |
+
"precision": 0.9486211000155224,
|
1461 |
+
"recall": 0.9701042383194878,
|
1462 |
+
"support": 18899.0
|
1463 |
+
},
|
1464 |
+
"eval_O": {
|
1465 |
+
"f1-score": 0.9205821624616005,
|
1466 |
+
"precision": 0.944507595329131,
|
1467 |
+
"recall": 0.8978388998035364,
|
1468 |
+
"support": 10180.0
|
1469 |
+
},
|
1470 |
+
"eval_accuracy": 0.9436494034438312,
|
1471 |
+
"eval_loss": 0.4824562668800354,
|
1472 |
+
"eval_macro avg": {
|
1473 |
+
"f1-score": 0.9222341303254397,
|
1474 |
+
"precision": 0.9178212969584599,
|
1475 |
+
"recall": 0.9276844982198421,
|
1476 |
+
"support": 30257.0
|
1477 |
+
},
|
1478 |
+
"eval_runtime": 4.714,
|
1479 |
+
"eval_samples_per_second": 17.183,
|
1480 |
+
"eval_steps_per_second": 2.333,
|
1481 |
+
"eval_weighted avg": {
|
1482 |
+
"f1-score": 0.9434177420632756,
|
1483 |
+
"precision": 0.9437998595359455,
|
1484 |
+
"recall": 0.9436494034438312,
|
1485 |
+
"support": 30257.0
|
1486 |
+
},
|
1487 |
+
"step": 2997
|
1488 |
+
},
|
1489 |
+
{
|
1490 |
+
"epoch": 37.04,
|
1491 |
+
"grad_norm": 0.2492738515138626,
|
1492 |
+
"learning_rate": 5.185185185185185e-06,
|
1493 |
+
"loss": 0.0019,
|
1494 |
+
"step": 3000
|
1495 |
+
},
|
1496 |
+
{
|
1497 |
+
"epoch": 38.0,
|
1498 |
+
"eval_B": {
|
1499 |
+
"f1-score": 0.8846942962659008,
|
1500 |
+
"precision": 0.8562351072279587,
|
1501 |
+
"recall": 0.9151103565365025,
|
1502 |
+
"support": 1178.0
|
1503 |
+
},
|
1504 |
+
"eval_I": {
|
1505 |
+
"f1-score": 0.9591970439476926,
|
1506 |
+
"precision": 0.9502076843198338,
|
1507 |
+
"recall": 0.9683581141859358,
|
1508 |
+
"support": 18899.0
|
1509 |
+
},
|
1510 |
+
"eval_O": {
|
1511 |
+
"f1-score": 0.9207751782307462,
|
1512 |
+
"precision": 0.9416718011912097,
|
1513 |
+
"recall": 0.9007858546168959,
|
1514 |
+
"support": 10180.0
|
1515 |
+
},
|
1516 |
+
"eval_accuracy": 0.9435502528340549,
|
1517 |
+
"eval_loss": 0.4896699786186218,
|
1518 |
+
"eval_macro avg": {
|
1519 |
+
"f1-score": 0.9215555061481132,
|
1520 |
+
"precision": 0.9160381975796673,
|
1521 |
+
"recall": 0.9280847751131113,
|
1522 |
+
"support": 30257.0
|
1523 |
+
},
|
1524 |
+
"eval_runtime": 4.7203,
|
1525 |
+
"eval_samples_per_second": 17.16,
|
1526 |
+
"eval_steps_per_second": 2.33,
|
1527 |
+
"eval_weighted avg": {
|
1528 |
+
"f1-score": 0.9433693402834936,
|
1529 |
+
"precision": 0.9436771298675213,
|
1530 |
+
"recall": 0.9435502528340549,
|
1531 |
+
"support": 30257.0
|
1532 |
+
},
|
1533 |
+
"step": 3078
|
1534 |
+
},
|
1535 |
+
{
|
1536 |
+
"epoch": 39.0,
|
1537 |
+
"eval_B": {
|
1538 |
+
"f1-score": 0.8855024711696869,
|
1539 |
+
"precision": 0.86,
|
1540 |
+
"recall": 0.9125636672325976,
|
1541 |
+
"support": 1178.0
|
1542 |
+
},
|
1543 |
+
"eval_I": {
|
1544 |
+
"f1-score": 0.9582018721806471,
|
1545 |
+
"precision": 0.9445815340324902,
|
1546 |
+
"recall": 0.972220752420763,
|
1547 |
+
"support": 18899.0
|
1548 |
+
},
|
1549 |
+
"eval_O": {
|
1550 |
+
"f1-score": 0.9178616670889282,
|
1551 |
+
"precision": 0.9478806907378335,
|
1552 |
+
"recall": 0.8896856581532416,
|
1553 |
+
"support": 10180.0
|
1554 |
+
},
|
1555 |
+
"eval_accuracy": 0.9421290940939286,
|
1556 |
+
"eval_loss": 0.518398642539978,
|
1557 |
+
"eval_macro avg": {
|
1558 |
+
"f1-score": 0.9205220034797542,
|
1559 |
+
"precision": 0.9174874082567746,
|
1560 |
+
"recall": 0.9248233592688675,
|
1561 |
+
"support": 30257.0
|
1562 |
+
},
|
1563 |
+
"eval_runtime": 4.7463,
|
1564 |
+
"eval_samples_per_second": 17.066,
|
1565 |
+
"eval_steps_per_second": 2.318,
|
1566 |
+
"eval_weighted avg": {
|
1567 |
+
"f1-score": 0.9417989511301594,
|
1568 |
+
"precision": 0.9423985141749408,
|
1569 |
+
"recall": 0.9421290940939286,
|
1570 |
+
"support": 30257.0
|
1571 |
+
},
|
1572 |
+
"step": 3159
|
1573 |
+
}
|
1574 |
+
],
|
1575 |
+
"logging_steps": 500,
|
1576 |
+
"max_steps": 4050,
|
1577 |
+
"num_input_tokens_seen": 0,
|
1578 |
+
"num_train_epochs": 50,
|
1579 |
+
"save_steps": 500,
|
1580 |
+
"total_flos": 5590264303096200.0,
|
1581 |
+
"train_batch_size": 4,
|
1582 |
+
"trial_name": null,
|
1583 |
+
"trial_params": null
|
1584 |
+
}
|
checkpoint-3159/training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:a9f81281de988dbf2616f1c96e725c00f6e4415b289b670a7cb21136eb66e95f
|
3 |
+
size 4856
|
checkpoint-3159/vocab.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|