ulisesbravo
commited on
Commit
•
7655b85
1
Parent(s):
a6e3062
Upload folder using huggingface_hub
Browse files- README.md +36 -0
- checkpoint-8454/config.json +48 -0
- checkpoint-8454/model.safetensors +3 -0
- checkpoint-8454/optimizer.pt +3 -0
- checkpoint-8454/rng_state.pth +3 -0
- checkpoint-8454/scheduler.pt +3 -0
- checkpoint-8454/trainer_state.json +2462 -0
- checkpoint-8454/training_args.bin +3 -0
- config.json +48 -0
- model.safetensors +3 -0
- runs/Oct30_19-52-50_r-ulisesbravo-treino-teste-boqirknt-9f37e-oreva/events.out.tfevents.1730317972.r-ulisesbravo-treino-teste-boqirknt-9f37e-oreva.112.0 +2 -2
- runs/Oct30_19-52-50_r-ulisesbravo-treino-teste-boqirknt-9f37e-oreva/events.out.tfevents.1730377445.r-ulisesbravo-treino-teste-boqirknt-9f37e-oreva.112.1 +3 -0
- special_tokens_map.json +7 -0
- tokenizer.json +0 -0
- tokenizer_config.json +57 -0
- training_args.bin +3 -0
- training_params.json +30 -0
- vocab.txt +0 -0
README.md
ADDED
@@ -0,0 +1,36 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
|
2 |
+
---
|
3 |
+
tags:
|
4 |
+
- autotrain
|
5 |
+
- text-classification
|
6 |
+
base_model: neuralmind/bert-base-portuguese-cased
|
7 |
+
widget:
|
8 |
+
- text: "I love AutoTrain"
|
9 |
+
---
|
10 |
+
|
11 |
+
# Model Trained Using AutoTrain
|
12 |
+
|
13 |
+
- Problem type: Text Classification
|
14 |
+
|
15 |
+
## Validation Metrics
|
16 |
+
loss: 0.7668559551239014
|
17 |
+
|
18 |
+
f1_macro: 0.6934027713968594
|
19 |
+
|
20 |
+
f1_micro: 0.6885536823425022
|
21 |
+
|
22 |
+
f1_weighted: 0.6903326985699842
|
23 |
+
|
24 |
+
precision_macro: 0.7104396368026238
|
25 |
+
|
26 |
+
precision_micro: 0.6885536823425022
|
27 |
+
|
28 |
+
precision_weighted: 0.705612321743312
|
29 |
+
|
30 |
+
recall_macro: 0.6898371166175705
|
31 |
+
|
32 |
+
recall_micro: 0.6885536823425022
|
33 |
+
|
34 |
+
recall_weighted: 0.6885536823425022
|
35 |
+
|
36 |
+
accuracy: 0.6885536823425022
|
checkpoint-8454/config.json
ADDED
@@ -0,0 +1,48 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "neuralmind/bert-base-portuguese-cased",
|
3 |
+
"_num_labels": 5,
|
4 |
+
"architectures": [
|
5 |
+
"BertForSequenceClassification"
|
6 |
+
],
|
7 |
+
"attention_probs_dropout_prob": 0.1,
|
8 |
+
"classifier_dropout": null,
|
9 |
+
"directionality": "bidi",
|
10 |
+
"hidden_act": "gelu",
|
11 |
+
"hidden_dropout_prob": 0.1,
|
12 |
+
"hidden_size": 768,
|
13 |
+
"id2label": {
|
14 |
+
"0": "1 - INTIMA\u00c7\u00c3O INICIAL",
|
15 |
+
"1": "2 - INTIMA\u00c7\u00c3O INSTRU\u00c7\u00c3O",
|
16 |
+
"2": "3 - INTIMA\u00c7\u00c3O RECURSAL",
|
17 |
+
"3": "4 - INTIMA\u00c7\u00c3O CUMPRIMENTO DE SENTEN\u00c7A",
|
18 |
+
"4": "5 - INTIMA\u00c7\u00c3O TR\u00c2NSITO"
|
19 |
+
},
|
20 |
+
"initializer_range": 0.02,
|
21 |
+
"intermediate_size": 3072,
|
22 |
+
"label2id": {
|
23 |
+
"1 - INTIMA\u00c7\u00c3O INICIAL": 0,
|
24 |
+
"2 - INTIMA\u00c7\u00c3O INSTRU\u00c7\u00c3O": 1,
|
25 |
+
"3 - INTIMA\u00c7\u00c3O RECURSAL": 2,
|
26 |
+
"4 - INTIMA\u00c7\u00c3O CUMPRIMENTO DE SENTEN\u00c7A": 3,
|
27 |
+
"5 - INTIMA\u00c7\u00c3O TR\u00c2NSITO": 4
|
28 |
+
},
|
29 |
+
"layer_norm_eps": 1e-12,
|
30 |
+
"max_position_embeddings": 512,
|
31 |
+
"model_type": "bert",
|
32 |
+
"num_attention_heads": 12,
|
33 |
+
"num_hidden_layers": 12,
|
34 |
+
"output_past": true,
|
35 |
+
"pad_token_id": 0,
|
36 |
+
"pooler_fc_size": 768,
|
37 |
+
"pooler_num_attention_heads": 12,
|
38 |
+
"pooler_num_fc_layers": 3,
|
39 |
+
"pooler_size_per_head": 128,
|
40 |
+
"pooler_type": "first_token_transform",
|
41 |
+
"position_embedding_type": "absolute",
|
42 |
+
"problem_type": "single_label_classification",
|
43 |
+
"torch_dtype": "float32",
|
44 |
+
"transformers_version": "4.45.0",
|
45 |
+
"type_vocab_size": 2,
|
46 |
+
"use_cache": true,
|
47 |
+
"vocab_size": 29794
|
48 |
+
}
|
checkpoint-8454/model.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:b7b5aea858f25e24827711cfbc02c35b160928b6c19e405df1c24d90f5be4a7d
|
3 |
+
size 435731452
|
checkpoint-8454/optimizer.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:c8500747b1f542fd7722e9ad75be164317058c0f43f1f6ed49a98609035bade2
|
3 |
+
size 871578362
|
checkpoint-8454/rng_state.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:e9dfee3efe76126be1b59aa57fecfecdae10b2991270f6288b7b3669660418ce
|
3 |
+
size 13990
|
checkpoint-8454/scheduler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:892595011cd8f92081483aabb2f75366581579d7002ddf5c707401b4c494b888
|
3 |
+
size 1064
|
checkpoint-8454/trainer_state.json
ADDED
@@ -0,0 +1,2462 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": 0.7668559551239014,
|
3 |
+
"best_model_checkpoint": "autotrain-k9ag8-b7nm0/checkpoint-8454",
|
4 |
+
"epoch": 3.0,
|
5 |
+
"eval_steps": 500,
|
6 |
+
"global_step": 8454,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.008871540099361249,
|
13 |
+
"grad_norm": 7.602209568023682,
|
14 |
+
"learning_rate": 1.4775413711583925e-06,
|
15 |
+
"loss": 1.6215,
|
16 |
+
"step": 25
|
17 |
+
},
|
18 |
+
{
|
19 |
+
"epoch": 0.017743080198722498,
|
20 |
+
"grad_norm": 10.643656730651855,
|
21 |
+
"learning_rate": 2.955082742316785e-06,
|
22 |
+
"loss": 1.6427,
|
23 |
+
"step": 50
|
24 |
+
},
|
25 |
+
{
|
26 |
+
"epoch": 0.026614620298083747,
|
27 |
+
"grad_norm": 7.053741455078125,
|
28 |
+
"learning_rate": 4.432624113475177e-06,
|
29 |
+
"loss": 1.614,
|
30 |
+
"step": 75
|
31 |
+
},
|
32 |
+
{
|
33 |
+
"epoch": 0.035486160397444996,
|
34 |
+
"grad_norm": 6.636758804321289,
|
35 |
+
"learning_rate": 5.91016548463357e-06,
|
36 |
+
"loss": 1.5967,
|
37 |
+
"step": 100
|
38 |
+
},
|
39 |
+
{
|
40 |
+
"epoch": 0.04435770049680625,
|
41 |
+
"grad_norm": 6.755153656005859,
|
42 |
+
"learning_rate": 7.387706855791962e-06,
|
43 |
+
"loss": 1.596,
|
44 |
+
"step": 125
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 0.053229240596167494,
|
48 |
+
"grad_norm": 6.6177239418029785,
|
49 |
+
"learning_rate": 8.865248226950355e-06,
|
50 |
+
"loss": 1.564,
|
51 |
+
"step": 150
|
52 |
+
},
|
53 |
+
{
|
54 |
+
"epoch": 0.06210078069552875,
|
55 |
+
"grad_norm": 4.62630558013916,
|
56 |
+
"learning_rate": 1.0342789598108746e-05,
|
57 |
+
"loss": 1.5625,
|
58 |
+
"step": 175
|
59 |
+
},
|
60 |
+
{
|
61 |
+
"epoch": 0.07097232079488999,
|
62 |
+
"grad_norm": 5.605529308319092,
|
63 |
+
"learning_rate": 1.182033096926714e-05,
|
64 |
+
"loss": 1.5312,
|
65 |
+
"step": 200
|
66 |
+
},
|
67 |
+
{
|
68 |
+
"epoch": 0.07984386089425125,
|
69 |
+
"grad_norm": 9.841400146484375,
|
70 |
+
"learning_rate": 1.3297872340425532e-05,
|
71 |
+
"loss": 1.4957,
|
72 |
+
"step": 225
|
73 |
+
},
|
74 |
+
{
|
75 |
+
"epoch": 0.0887154009936125,
|
76 |
+
"grad_norm": 6.7550458908081055,
|
77 |
+
"learning_rate": 1.4775413711583924e-05,
|
78 |
+
"loss": 1.4394,
|
79 |
+
"step": 250
|
80 |
+
},
|
81 |
+
{
|
82 |
+
"epoch": 0.09758694109297374,
|
83 |
+
"grad_norm": 8.143739700317383,
|
84 |
+
"learning_rate": 1.6252955082742317e-05,
|
85 |
+
"loss": 1.298,
|
86 |
+
"step": 275
|
87 |
+
},
|
88 |
+
{
|
89 |
+
"epoch": 0.10645848119233499,
|
90 |
+
"grad_norm": 8.003219604492188,
|
91 |
+
"learning_rate": 1.773049645390071e-05,
|
92 |
+
"loss": 1.2673,
|
93 |
+
"step": 300
|
94 |
+
},
|
95 |
+
{
|
96 |
+
"epoch": 0.11533002129169624,
|
97 |
+
"grad_norm": 11.118531227111816,
|
98 |
+
"learning_rate": 1.92080378250591e-05,
|
99 |
+
"loss": 1.3083,
|
100 |
+
"step": 325
|
101 |
+
},
|
102 |
+
{
|
103 |
+
"epoch": 0.1242015613910575,
|
104 |
+
"grad_norm": 12.492416381835938,
|
105 |
+
"learning_rate": 2.0685579196217493e-05,
|
106 |
+
"loss": 1.2445,
|
107 |
+
"step": 350
|
108 |
+
},
|
109 |
+
{
|
110 |
+
"epoch": 0.13307310149041873,
|
111 |
+
"grad_norm": 4.358503818511963,
|
112 |
+
"learning_rate": 2.2163120567375885e-05,
|
113 |
+
"loss": 1.146,
|
114 |
+
"step": 375
|
115 |
+
},
|
116 |
+
{
|
117 |
+
"epoch": 0.14194464158977999,
|
118 |
+
"grad_norm": 7.787415504455566,
|
119 |
+
"learning_rate": 2.364066193853428e-05,
|
120 |
+
"loss": 1.3067,
|
121 |
+
"step": 400
|
122 |
+
},
|
123 |
+
{
|
124 |
+
"epoch": 0.15081618168914124,
|
125 |
+
"grad_norm": 5.6704912185668945,
|
126 |
+
"learning_rate": 2.5118203309692672e-05,
|
127 |
+
"loss": 1.2465,
|
128 |
+
"step": 425
|
129 |
+
},
|
130 |
+
{
|
131 |
+
"epoch": 0.1596877217885025,
|
132 |
+
"grad_norm": 6.449095249176025,
|
133 |
+
"learning_rate": 2.6595744680851064e-05,
|
134 |
+
"loss": 1.144,
|
135 |
+
"step": 450
|
136 |
+
},
|
137 |
+
{
|
138 |
+
"epoch": 0.16855926188786374,
|
139 |
+
"grad_norm": 10.410565376281738,
|
140 |
+
"learning_rate": 2.8073286052009455e-05,
|
141 |
+
"loss": 1.2432,
|
142 |
+
"step": 475
|
143 |
+
},
|
144 |
+
{
|
145 |
+
"epoch": 0.177430801987225,
|
146 |
+
"grad_norm": 11.332856178283691,
|
147 |
+
"learning_rate": 2.9550827423167847e-05,
|
148 |
+
"loss": 1.1153,
|
149 |
+
"step": 500
|
150 |
+
},
|
151 |
+
{
|
152 |
+
"epoch": 0.18630234208658622,
|
153 |
+
"grad_norm": 5.967296600341797,
|
154 |
+
"learning_rate": 3.102836879432624e-05,
|
155 |
+
"loss": 1.0873,
|
156 |
+
"step": 525
|
157 |
+
},
|
158 |
+
{
|
159 |
+
"epoch": 0.19517388218594747,
|
160 |
+
"grad_norm": 8.682112693786621,
|
161 |
+
"learning_rate": 3.2505910165484634e-05,
|
162 |
+
"loss": 1.1949,
|
163 |
+
"step": 550
|
164 |
+
},
|
165 |
+
{
|
166 |
+
"epoch": 0.20404542228530873,
|
167 |
+
"grad_norm": 9.76791763305664,
|
168 |
+
"learning_rate": 3.3983451536643026e-05,
|
169 |
+
"loss": 1.2161,
|
170 |
+
"step": 575
|
171 |
+
},
|
172 |
+
{
|
173 |
+
"epoch": 0.21291696238466998,
|
174 |
+
"grad_norm": 5.555416107177734,
|
175 |
+
"learning_rate": 3.546099290780142e-05,
|
176 |
+
"loss": 1.2722,
|
177 |
+
"step": 600
|
178 |
+
},
|
179 |
+
{
|
180 |
+
"epoch": 0.22178850248403123,
|
181 |
+
"grad_norm": 7.815185546875,
|
182 |
+
"learning_rate": 3.693853427895981e-05,
|
183 |
+
"loss": 1.0951,
|
184 |
+
"step": 625
|
185 |
+
},
|
186 |
+
{
|
187 |
+
"epoch": 0.23066004258339248,
|
188 |
+
"grad_norm": 6.9715895652771,
|
189 |
+
"learning_rate": 3.84160756501182e-05,
|
190 |
+
"loss": 1.1922,
|
191 |
+
"step": 650
|
192 |
+
},
|
193 |
+
{
|
194 |
+
"epoch": 0.23953158268275374,
|
195 |
+
"grad_norm": 5.526481628417969,
|
196 |
+
"learning_rate": 3.9893617021276594e-05,
|
197 |
+
"loss": 1.2998,
|
198 |
+
"step": 675
|
199 |
+
},
|
200 |
+
{
|
201 |
+
"epoch": 0.248403122782115,
|
202 |
+
"grad_norm": 10.200905799865723,
|
203 |
+
"learning_rate": 4.1371158392434986e-05,
|
204 |
+
"loss": 1.113,
|
205 |
+
"step": 700
|
206 |
+
},
|
207 |
+
{
|
208 |
+
"epoch": 0.2572746628814762,
|
209 |
+
"grad_norm": 8.1790771484375,
|
210 |
+
"learning_rate": 4.284869976359338e-05,
|
211 |
+
"loss": 1.0354,
|
212 |
+
"step": 725
|
213 |
+
},
|
214 |
+
{
|
215 |
+
"epoch": 0.26614620298083747,
|
216 |
+
"grad_norm": 12.212372779846191,
|
217 |
+
"learning_rate": 4.432624113475177e-05,
|
218 |
+
"loss": 1.1553,
|
219 |
+
"step": 750
|
220 |
+
},
|
221 |
+
{
|
222 |
+
"epoch": 0.2750177430801987,
|
223 |
+
"grad_norm": 7.486617565155029,
|
224 |
+
"learning_rate": 4.580378250591017e-05,
|
225 |
+
"loss": 1.0368,
|
226 |
+
"step": 775
|
227 |
+
},
|
228 |
+
{
|
229 |
+
"epoch": 0.28388928317955997,
|
230 |
+
"grad_norm": 5.094996929168701,
|
231 |
+
"learning_rate": 4.728132387706856e-05,
|
232 |
+
"loss": 1.0357,
|
233 |
+
"step": 800
|
234 |
+
},
|
235 |
+
{
|
236 |
+
"epoch": 0.2927608232789212,
|
237 |
+
"grad_norm": 7.159431457519531,
|
238 |
+
"learning_rate": 4.875886524822695e-05,
|
239 |
+
"loss": 1.0414,
|
240 |
+
"step": 825
|
241 |
+
},
|
242 |
+
{
|
243 |
+
"epoch": 0.3016323633782825,
|
244 |
+
"grad_norm": 7.34111213684082,
|
245 |
+
"learning_rate": 4.9973711882229235e-05,
|
246 |
+
"loss": 1.0777,
|
247 |
+
"step": 850
|
248 |
+
},
|
249 |
+
{
|
250 |
+
"epoch": 0.31050390347764373,
|
251 |
+
"grad_norm": 10.668549537658691,
|
252 |
+
"learning_rate": 4.980941114616194e-05,
|
253 |
+
"loss": 1.0795,
|
254 |
+
"step": 875
|
255 |
+
},
|
256 |
+
{
|
257 |
+
"epoch": 0.319375443577005,
|
258 |
+
"grad_norm": 10.225701332092285,
|
259 |
+
"learning_rate": 4.9645110410094644e-05,
|
260 |
+
"loss": 1.0581,
|
261 |
+
"step": 900
|
262 |
+
},
|
263 |
+
{
|
264 |
+
"epoch": 0.32824698367636623,
|
265 |
+
"grad_norm": 10.795150756835938,
|
266 |
+
"learning_rate": 4.948080967402734e-05,
|
267 |
+
"loss": 1.0562,
|
268 |
+
"step": 925
|
269 |
+
},
|
270 |
+
{
|
271 |
+
"epoch": 0.3371185237757275,
|
272 |
+
"grad_norm": 5.316555500030518,
|
273 |
+
"learning_rate": 4.931650893796004e-05,
|
274 |
+
"loss": 0.9869,
|
275 |
+
"step": 950
|
276 |
+
},
|
277 |
+
{
|
278 |
+
"epoch": 0.34599006387508874,
|
279 |
+
"grad_norm": 5.70430850982666,
|
280 |
+
"learning_rate": 4.9152208201892744e-05,
|
281 |
+
"loss": 1.0267,
|
282 |
+
"step": 975
|
283 |
+
},
|
284 |
+
{
|
285 |
+
"epoch": 0.35486160397445,
|
286 |
+
"grad_norm": 8.478789329528809,
|
287 |
+
"learning_rate": 4.898790746582545e-05,
|
288 |
+
"loss": 1.0044,
|
289 |
+
"step": 1000
|
290 |
+
},
|
291 |
+
{
|
292 |
+
"epoch": 0.3637331440738112,
|
293 |
+
"grad_norm": 8.099587440490723,
|
294 |
+
"learning_rate": 4.8823606729758154e-05,
|
295 |
+
"loss": 0.9652,
|
296 |
+
"step": 1025
|
297 |
+
},
|
298 |
+
{
|
299 |
+
"epoch": 0.37260468417317244,
|
300 |
+
"grad_norm": 7.185507774353027,
|
301 |
+
"learning_rate": 4.865930599369085e-05,
|
302 |
+
"loss": 0.979,
|
303 |
+
"step": 1050
|
304 |
+
},
|
305 |
+
{
|
306 |
+
"epoch": 0.3814762242725337,
|
307 |
+
"grad_norm": 5.971964359283447,
|
308 |
+
"learning_rate": 4.8495005257623556e-05,
|
309 |
+
"loss": 1.0463,
|
310 |
+
"step": 1075
|
311 |
+
},
|
312 |
+
{
|
313 |
+
"epoch": 0.39034776437189495,
|
314 |
+
"grad_norm": 7.249493598937988,
|
315 |
+
"learning_rate": 4.833070452155626e-05,
|
316 |
+
"loss": 0.9667,
|
317 |
+
"step": 1100
|
318 |
+
},
|
319 |
+
{
|
320 |
+
"epoch": 0.3992193044712562,
|
321 |
+
"grad_norm": 5.658076763153076,
|
322 |
+
"learning_rate": 4.8166403785488965e-05,
|
323 |
+
"loss": 1.1338,
|
324 |
+
"step": 1125
|
325 |
+
},
|
326 |
+
{
|
327 |
+
"epoch": 0.40809084457061745,
|
328 |
+
"grad_norm": 9.11898136138916,
|
329 |
+
"learning_rate": 4.800210304942166e-05,
|
330 |
+
"loss": 1.0147,
|
331 |
+
"step": 1150
|
332 |
+
},
|
333 |
+
{
|
334 |
+
"epoch": 0.4169623846699787,
|
335 |
+
"grad_norm": 6.678395748138428,
|
336 |
+
"learning_rate": 4.783780231335437e-05,
|
337 |
+
"loss": 0.8906,
|
338 |
+
"step": 1175
|
339 |
+
},
|
340 |
+
{
|
341 |
+
"epoch": 0.42583392476933996,
|
342 |
+
"grad_norm": 6.076191425323486,
|
343 |
+
"learning_rate": 4.7673501577287065e-05,
|
344 |
+
"loss": 1.0508,
|
345 |
+
"step": 1200
|
346 |
+
},
|
347 |
+
{
|
348 |
+
"epoch": 0.4347054648687012,
|
349 |
+
"grad_norm": 4.180179119110107,
|
350 |
+
"learning_rate": 4.750920084121977e-05,
|
351 |
+
"loss": 0.9826,
|
352 |
+
"step": 1225
|
353 |
+
},
|
354 |
+
{
|
355 |
+
"epoch": 0.44357700496806246,
|
356 |
+
"grad_norm": 7.360926628112793,
|
357 |
+
"learning_rate": 4.7344900105152474e-05,
|
358 |
+
"loss": 0.9848,
|
359 |
+
"step": 1250
|
360 |
+
},
|
361 |
+
{
|
362 |
+
"epoch": 0.4524485450674237,
|
363 |
+
"grad_norm": 4.815805435180664,
|
364 |
+
"learning_rate": 4.718059936908518e-05,
|
365 |
+
"loss": 0.9799,
|
366 |
+
"step": 1275
|
367 |
+
},
|
368 |
+
{
|
369 |
+
"epoch": 0.46132008516678497,
|
370 |
+
"grad_norm": 6.276717662811279,
|
371 |
+
"learning_rate": 4.701629863301788e-05,
|
372 |
+
"loss": 1.0078,
|
373 |
+
"step": 1300
|
374 |
+
},
|
375 |
+
{
|
376 |
+
"epoch": 0.4701916252661462,
|
377 |
+
"grad_norm": 6.218778610229492,
|
378 |
+
"learning_rate": 4.685199789695058e-05,
|
379 |
+
"loss": 1.0242,
|
380 |
+
"step": 1325
|
381 |
+
},
|
382 |
+
{
|
383 |
+
"epoch": 0.47906316536550747,
|
384 |
+
"grad_norm": 7.256498336791992,
|
385 |
+
"learning_rate": 4.668769716088328e-05,
|
386 |
+
"loss": 0.8731,
|
387 |
+
"step": 1350
|
388 |
+
},
|
389 |
+
{
|
390 |
+
"epoch": 0.4879347054648687,
|
391 |
+
"grad_norm": 5.647130966186523,
|
392 |
+
"learning_rate": 4.652339642481598e-05,
|
393 |
+
"loss": 0.9373,
|
394 |
+
"step": 1375
|
395 |
+
},
|
396 |
+
{
|
397 |
+
"epoch": 0.49680624556423,
|
398 |
+
"grad_norm": 8.66212272644043,
|
399 |
+
"learning_rate": 4.635909568874869e-05,
|
400 |
+
"loss": 0.9476,
|
401 |
+
"step": 1400
|
402 |
+
},
|
403 |
+
{
|
404 |
+
"epoch": 0.5056777856635912,
|
405 |
+
"grad_norm": 5.111779689788818,
|
406 |
+
"learning_rate": 4.619479495268139e-05,
|
407 |
+
"loss": 0.9185,
|
408 |
+
"step": 1425
|
409 |
+
},
|
410 |
+
{
|
411 |
+
"epoch": 0.5145493257629524,
|
412 |
+
"grad_norm": 4.9285502433776855,
|
413 |
+
"learning_rate": 4.6030494216614097e-05,
|
414 |
+
"loss": 1.0187,
|
415 |
+
"step": 1450
|
416 |
+
},
|
417 |
+
{
|
418 |
+
"epoch": 0.5234208658623137,
|
419 |
+
"grad_norm": 7.633114814758301,
|
420 |
+
"learning_rate": 4.5866193480546794e-05,
|
421 |
+
"loss": 0.9257,
|
422 |
+
"step": 1475
|
423 |
+
},
|
424 |
+
{
|
425 |
+
"epoch": 0.5322924059616749,
|
426 |
+
"grad_norm": 5.585442543029785,
|
427 |
+
"learning_rate": 4.57018927444795e-05,
|
428 |
+
"loss": 1.0399,
|
429 |
+
"step": 1500
|
430 |
+
},
|
431 |
+
{
|
432 |
+
"epoch": 0.5411639460610362,
|
433 |
+
"grad_norm": 4.591919898986816,
|
434 |
+
"learning_rate": 4.5537592008412197e-05,
|
435 |
+
"loss": 0.9151,
|
436 |
+
"step": 1525
|
437 |
+
},
|
438 |
+
{
|
439 |
+
"epoch": 0.5500354861603974,
|
440 |
+
"grad_norm": 6.754642486572266,
|
441 |
+
"learning_rate": 4.53732912723449e-05,
|
442 |
+
"loss": 1.0153,
|
443 |
+
"step": 1550
|
444 |
+
},
|
445 |
+
{
|
446 |
+
"epoch": 0.5589070262597587,
|
447 |
+
"grad_norm": 6.780356407165527,
|
448 |
+
"learning_rate": 4.5208990536277606e-05,
|
449 |
+
"loss": 0.9998,
|
450 |
+
"step": 1575
|
451 |
+
},
|
452 |
+
{
|
453 |
+
"epoch": 0.5677785663591199,
|
454 |
+
"grad_norm": 7.279979228973389,
|
455 |
+
"learning_rate": 4.50446898002103e-05,
|
456 |
+
"loss": 0.998,
|
457 |
+
"step": 1600
|
458 |
+
},
|
459 |
+
{
|
460 |
+
"epoch": 0.5766501064584811,
|
461 |
+
"grad_norm": 18.642566680908203,
|
462 |
+
"learning_rate": 4.488038906414301e-05,
|
463 |
+
"loss": 0.8556,
|
464 |
+
"step": 1625
|
465 |
+
},
|
466 |
+
{
|
467 |
+
"epoch": 0.5855216465578424,
|
468 |
+
"grad_norm": 5.179675579071045,
|
469 |
+
"learning_rate": 4.471608832807571e-05,
|
470 |
+
"loss": 0.9329,
|
471 |
+
"step": 1650
|
472 |
+
},
|
473 |
+
{
|
474 |
+
"epoch": 0.5943931866572036,
|
475 |
+
"grad_norm": 11.334458351135254,
|
476 |
+
"learning_rate": 4.455178759200842e-05,
|
477 |
+
"loss": 0.9082,
|
478 |
+
"step": 1675
|
479 |
+
},
|
480 |
+
{
|
481 |
+
"epoch": 0.603264726756565,
|
482 |
+
"grad_norm": 7.290953159332275,
|
483 |
+
"learning_rate": 4.438748685594112e-05,
|
484 |
+
"loss": 0.8716,
|
485 |
+
"step": 1700
|
486 |
+
},
|
487 |
+
{
|
488 |
+
"epoch": 0.6121362668559261,
|
489 |
+
"grad_norm": 3.186927556991577,
|
490 |
+
"learning_rate": 4.422318611987382e-05,
|
491 |
+
"loss": 0.9728,
|
492 |
+
"step": 1725
|
493 |
+
},
|
494 |
+
{
|
495 |
+
"epoch": 0.6210078069552875,
|
496 |
+
"grad_norm": 6.01223087310791,
|
497 |
+
"learning_rate": 4.405888538380652e-05,
|
498 |
+
"loss": 0.9188,
|
499 |
+
"step": 1750
|
500 |
+
},
|
501 |
+
{
|
502 |
+
"epoch": 0.6298793470546487,
|
503 |
+
"grad_norm": 7.13861608505249,
|
504 |
+
"learning_rate": 4.389458464773922e-05,
|
505 |
+
"loss": 0.907,
|
506 |
+
"step": 1775
|
507 |
+
},
|
508 |
+
{
|
509 |
+
"epoch": 0.63875088715401,
|
510 |
+
"grad_norm": 5.580389499664307,
|
511 |
+
"learning_rate": 4.3730283911671926e-05,
|
512 |
+
"loss": 1.0589,
|
513 |
+
"step": 1800
|
514 |
+
},
|
515 |
+
{
|
516 |
+
"epoch": 0.6476224272533712,
|
517 |
+
"grad_norm": 7.246824264526367,
|
518 |
+
"learning_rate": 4.356598317560463e-05,
|
519 |
+
"loss": 0.9974,
|
520 |
+
"step": 1825
|
521 |
+
},
|
522 |
+
{
|
523 |
+
"epoch": 0.6564939673527325,
|
524 |
+
"grad_norm": 4.785336017608643,
|
525 |
+
"learning_rate": 4.3401682439537335e-05,
|
526 |
+
"loss": 0.9484,
|
527 |
+
"step": 1850
|
528 |
+
},
|
529 |
+
{
|
530 |
+
"epoch": 0.6653655074520937,
|
531 |
+
"grad_norm": 6.392651081085205,
|
532 |
+
"learning_rate": 4.323738170347003e-05,
|
533 |
+
"loss": 1.0558,
|
534 |
+
"step": 1875
|
535 |
+
},
|
536 |
+
{
|
537 |
+
"epoch": 0.674237047551455,
|
538 |
+
"grad_norm": 5.654791831970215,
|
539 |
+
"learning_rate": 4.307308096740274e-05,
|
540 |
+
"loss": 0.904,
|
541 |
+
"step": 1900
|
542 |
+
},
|
543 |
+
{
|
544 |
+
"epoch": 0.6831085876508162,
|
545 |
+
"grad_norm": 8.35096263885498,
|
546 |
+
"learning_rate": 4.2908780231335435e-05,
|
547 |
+
"loss": 0.9147,
|
548 |
+
"step": 1925
|
549 |
+
},
|
550 |
+
{
|
551 |
+
"epoch": 0.6919801277501775,
|
552 |
+
"grad_norm": 6.575385570526123,
|
553 |
+
"learning_rate": 4.274447949526814e-05,
|
554 |
+
"loss": 0.9009,
|
555 |
+
"step": 1950
|
556 |
+
},
|
557 |
+
{
|
558 |
+
"epoch": 0.7008516678495387,
|
559 |
+
"grad_norm": 5.978839874267578,
|
560 |
+
"learning_rate": 4.2580178759200844e-05,
|
561 |
+
"loss": 0.9722,
|
562 |
+
"step": 1975
|
563 |
+
},
|
564 |
+
{
|
565 |
+
"epoch": 0.7097232079489,
|
566 |
+
"grad_norm": 5.449729919433594,
|
567 |
+
"learning_rate": 4.241587802313355e-05,
|
568 |
+
"loss": 0.8602,
|
569 |
+
"step": 2000
|
570 |
+
},
|
571 |
+
{
|
572 |
+
"epoch": 0.7185947480482612,
|
573 |
+
"grad_norm": 4.398986339569092,
|
574 |
+
"learning_rate": 4.2251577287066246e-05,
|
575 |
+
"loss": 0.9699,
|
576 |
+
"step": 2025
|
577 |
+
},
|
578 |
+
{
|
579 |
+
"epoch": 0.7274662881476224,
|
580 |
+
"grad_norm": 7.566812515258789,
|
581 |
+
"learning_rate": 4.208727655099895e-05,
|
582 |
+
"loss": 0.8767,
|
583 |
+
"step": 2050
|
584 |
+
},
|
585 |
+
{
|
586 |
+
"epoch": 0.7363378282469837,
|
587 |
+
"grad_norm": 4.754166603088379,
|
588 |
+
"learning_rate": 4.1922975814931655e-05,
|
589 |
+
"loss": 0.9233,
|
590 |
+
"step": 2075
|
591 |
+
},
|
592 |
+
{
|
593 |
+
"epoch": 0.7452093683463449,
|
594 |
+
"grad_norm": 8.481706619262695,
|
595 |
+
"learning_rate": 4.175867507886436e-05,
|
596 |
+
"loss": 0.7744,
|
597 |
+
"step": 2100
|
598 |
+
},
|
599 |
+
{
|
600 |
+
"epoch": 0.7540809084457062,
|
601 |
+
"grad_norm": 5.274106502532959,
|
602 |
+
"learning_rate": 4.159437434279706e-05,
|
603 |
+
"loss": 0.9135,
|
604 |
+
"step": 2125
|
605 |
+
},
|
606 |
+
{
|
607 |
+
"epoch": 0.7629524485450674,
|
608 |
+
"grad_norm": 5.358260631561279,
|
609 |
+
"learning_rate": 4.1430073606729755e-05,
|
610 |
+
"loss": 0.8705,
|
611 |
+
"step": 2150
|
612 |
+
},
|
613 |
+
{
|
614 |
+
"epoch": 0.7718239886444287,
|
615 |
+
"grad_norm": 7.29016637802124,
|
616 |
+
"learning_rate": 4.126577287066246e-05,
|
617 |
+
"loss": 0.9884,
|
618 |
+
"step": 2175
|
619 |
+
},
|
620 |
+
{
|
621 |
+
"epoch": 0.7806955287437899,
|
622 |
+
"grad_norm": 4.230587005615234,
|
623 |
+
"learning_rate": 4.1101472134595165e-05,
|
624 |
+
"loss": 1.0909,
|
625 |
+
"step": 2200
|
626 |
+
},
|
627 |
+
{
|
628 |
+
"epoch": 0.7895670688431512,
|
629 |
+
"grad_norm": 3.3235785961151123,
|
630 |
+
"learning_rate": 4.093717139852787e-05,
|
631 |
+
"loss": 0.9675,
|
632 |
+
"step": 2225
|
633 |
+
},
|
634 |
+
{
|
635 |
+
"epoch": 0.7984386089425124,
|
636 |
+
"grad_norm": 6.612360954284668,
|
637 |
+
"learning_rate": 4.0772870662460574e-05,
|
638 |
+
"loss": 0.8865,
|
639 |
+
"step": 2250
|
640 |
+
},
|
641 |
+
{
|
642 |
+
"epoch": 0.8073101490418737,
|
643 |
+
"grad_norm": 3.8408925533294678,
|
644 |
+
"learning_rate": 4.060856992639327e-05,
|
645 |
+
"loss": 0.9141,
|
646 |
+
"step": 2275
|
647 |
+
},
|
648 |
+
{
|
649 |
+
"epoch": 0.8161816891412349,
|
650 |
+
"grad_norm": 8.467307090759277,
|
651 |
+
"learning_rate": 4.0444269190325976e-05,
|
652 |
+
"loss": 0.9242,
|
653 |
+
"step": 2300
|
654 |
+
},
|
655 |
+
{
|
656 |
+
"epoch": 0.8250532292405962,
|
657 |
+
"grad_norm": 6.088973522186279,
|
658 |
+
"learning_rate": 4.0279968454258674e-05,
|
659 |
+
"loss": 0.9406,
|
660 |
+
"step": 2325
|
661 |
+
},
|
662 |
+
{
|
663 |
+
"epoch": 0.8339247693399574,
|
664 |
+
"grad_norm": 5.104999542236328,
|
665 |
+
"learning_rate": 4.011566771819138e-05,
|
666 |
+
"loss": 0.9163,
|
667 |
+
"step": 2350
|
668 |
+
},
|
669 |
+
{
|
670 |
+
"epoch": 0.8427963094393187,
|
671 |
+
"grad_norm": 5.350615501403809,
|
672 |
+
"learning_rate": 3.995136698212408e-05,
|
673 |
+
"loss": 0.892,
|
674 |
+
"step": 2375
|
675 |
+
},
|
676 |
+
{
|
677 |
+
"epoch": 0.8516678495386799,
|
678 |
+
"grad_norm": 4.470179557800293,
|
679 |
+
"learning_rate": 3.978706624605679e-05,
|
680 |
+
"loss": 0.9243,
|
681 |
+
"step": 2400
|
682 |
+
},
|
683 |
+
{
|
684 |
+
"epoch": 0.8605393896380412,
|
685 |
+
"grad_norm": 7.627182483673096,
|
686 |
+
"learning_rate": 3.9622765509989485e-05,
|
687 |
+
"loss": 0.9249,
|
688 |
+
"step": 2425
|
689 |
+
},
|
690 |
+
{
|
691 |
+
"epoch": 0.8694109297374024,
|
692 |
+
"grad_norm": 3.69128155708313,
|
693 |
+
"learning_rate": 3.945846477392219e-05,
|
694 |
+
"loss": 0.9161,
|
695 |
+
"step": 2450
|
696 |
+
},
|
697 |
+
{
|
698 |
+
"epoch": 0.8782824698367636,
|
699 |
+
"grad_norm": 4.180213928222656,
|
700 |
+
"learning_rate": 3.9294164037854894e-05,
|
701 |
+
"loss": 0.8598,
|
702 |
+
"step": 2475
|
703 |
+
},
|
704 |
+
{
|
705 |
+
"epoch": 0.8871540099361249,
|
706 |
+
"grad_norm": 5.930824279785156,
|
707 |
+
"learning_rate": 3.912986330178759e-05,
|
708 |
+
"loss": 0.9908,
|
709 |
+
"step": 2500
|
710 |
+
},
|
711 |
+
{
|
712 |
+
"epoch": 0.8960255500354861,
|
713 |
+
"grad_norm": 5.566065311431885,
|
714 |
+
"learning_rate": 3.8965562565720296e-05,
|
715 |
+
"loss": 0.9378,
|
716 |
+
"step": 2525
|
717 |
+
},
|
718 |
+
{
|
719 |
+
"epoch": 0.9048970901348474,
|
720 |
+
"grad_norm": 5.347686767578125,
|
721 |
+
"learning_rate": 3.8801261829652994e-05,
|
722 |
+
"loss": 0.9627,
|
723 |
+
"step": 2550
|
724 |
+
},
|
725 |
+
{
|
726 |
+
"epoch": 0.9137686302342086,
|
727 |
+
"grad_norm": 4.1419525146484375,
|
728 |
+
"learning_rate": 3.86369610935857e-05,
|
729 |
+
"loss": 0.7985,
|
730 |
+
"step": 2575
|
731 |
+
},
|
732 |
+
{
|
733 |
+
"epoch": 0.9226401703335699,
|
734 |
+
"grad_norm": 4.296880722045898,
|
735 |
+
"learning_rate": 3.84726603575184e-05,
|
736 |
+
"loss": 0.8847,
|
737 |
+
"step": 2600
|
738 |
+
},
|
739 |
+
{
|
740 |
+
"epoch": 0.9315117104329311,
|
741 |
+
"grad_norm": 5.749390602111816,
|
742 |
+
"learning_rate": 3.830835962145111e-05,
|
743 |
+
"loss": 0.8881,
|
744 |
+
"step": 2625
|
745 |
+
},
|
746 |
+
{
|
747 |
+
"epoch": 0.9403832505322924,
|
748 |
+
"grad_norm": 4.67301607131958,
|
749 |
+
"learning_rate": 3.814405888538381e-05,
|
750 |
+
"loss": 0.9763,
|
751 |
+
"step": 2650
|
752 |
+
},
|
753 |
+
{
|
754 |
+
"epoch": 0.9492547906316536,
|
755 |
+
"grad_norm": 7.461897373199463,
|
756 |
+
"learning_rate": 3.7979758149316517e-05,
|
757 |
+
"loss": 0.9073,
|
758 |
+
"step": 2675
|
759 |
+
},
|
760 |
+
{
|
761 |
+
"epoch": 0.9581263307310149,
|
762 |
+
"grad_norm": 5.127830982208252,
|
763 |
+
"learning_rate": 3.7815457413249214e-05,
|
764 |
+
"loss": 0.8915,
|
765 |
+
"step": 2700
|
766 |
+
},
|
767 |
+
{
|
768 |
+
"epoch": 0.9669978708303761,
|
769 |
+
"grad_norm": 3.610241413116455,
|
770 |
+
"learning_rate": 3.765115667718191e-05,
|
771 |
+
"loss": 0.8039,
|
772 |
+
"step": 2725
|
773 |
+
},
|
774 |
+
{
|
775 |
+
"epoch": 0.9758694109297374,
|
776 |
+
"grad_norm": 7.237741470336914,
|
777 |
+
"learning_rate": 3.7486855941114617e-05,
|
778 |
+
"loss": 0.8631,
|
779 |
+
"step": 2750
|
780 |
+
},
|
781 |
+
{
|
782 |
+
"epoch": 0.9847409510290986,
|
783 |
+
"grad_norm": 5.400920867919922,
|
784 |
+
"learning_rate": 3.732255520504732e-05,
|
785 |
+
"loss": 0.9269,
|
786 |
+
"step": 2775
|
787 |
+
},
|
788 |
+
{
|
789 |
+
"epoch": 0.99361249112846,
|
790 |
+
"grad_norm": 7.000077247619629,
|
791 |
+
"learning_rate": 3.7158254468980026e-05,
|
792 |
+
"loss": 0.8502,
|
793 |
+
"step": 2800
|
794 |
+
},
|
795 |
+
{
|
796 |
+
"epoch": 1.0,
|
797 |
+
"eval_accuracy": 0.6351375332741792,
|
798 |
+
"eval_f1_macro": 0.646122256511988,
|
799 |
+
"eval_f1_micro": 0.6351375332741792,
|
800 |
+
"eval_f1_weighted": 0.64322619559571,
|
801 |
+
"eval_loss": 0.8854864835739136,
|
802 |
+
"eval_precision_macro": 0.7018139832423136,
|
803 |
+
"eval_precision_micro": 0.6351375332741792,
|
804 |
+
"eval_precision_weighted": 0.6951112379231563,
|
805 |
+
"eval_recall_macro": 0.6347383469069486,
|
806 |
+
"eval_recall_micro": 0.6351375332741792,
|
807 |
+
"eval_recall_weighted": 0.6351375332741792,
|
808 |
+
"eval_runtime": 1148.734,
|
809 |
+
"eval_samples_per_second": 4.905,
|
810 |
+
"eval_steps_per_second": 0.307,
|
811 |
+
"step": 2818
|
812 |
+
},
|
813 |
+
{
|
814 |
+
"epoch": 1.0024840312278211,
|
815 |
+
"grad_norm": 2.3094370365142822,
|
816 |
+
"learning_rate": 3.6993953732912723e-05,
|
817 |
+
"loss": 0.7619,
|
818 |
+
"step": 2825
|
819 |
+
},
|
820 |
+
{
|
821 |
+
"epoch": 1.0113555713271825,
|
822 |
+
"grad_norm": 6.9726386070251465,
|
823 |
+
"learning_rate": 3.682965299684543e-05,
|
824 |
+
"loss": 0.8545,
|
825 |
+
"step": 2850
|
826 |
+
},
|
827 |
+
{
|
828 |
+
"epoch": 1.0202271114265435,
|
829 |
+
"grad_norm": 6.961376667022705,
|
830 |
+
"learning_rate": 3.666535226077813e-05,
|
831 |
+
"loss": 0.8677,
|
832 |
+
"step": 2875
|
833 |
+
},
|
834 |
+
{
|
835 |
+
"epoch": 1.0290986515259049,
|
836 |
+
"grad_norm": 5.254246234893799,
|
837 |
+
"learning_rate": 3.650105152471083e-05,
|
838 |
+
"loss": 0.9094,
|
839 |
+
"step": 2900
|
840 |
+
},
|
841 |
+
{
|
842 |
+
"epoch": 1.0379701916252662,
|
843 |
+
"grad_norm": 4.578902244567871,
|
844 |
+
"learning_rate": 3.6336750788643535e-05,
|
845 |
+
"loss": 0.8537,
|
846 |
+
"step": 2925
|
847 |
+
},
|
848 |
+
{
|
849 |
+
"epoch": 1.0468417317246275,
|
850 |
+
"grad_norm": 3.2812981605529785,
|
851 |
+
"learning_rate": 3.617245005257624e-05,
|
852 |
+
"loss": 0.9155,
|
853 |
+
"step": 2950
|
854 |
+
},
|
855 |
+
{
|
856 |
+
"epoch": 1.0557132718239886,
|
857 |
+
"grad_norm": 4.157433032989502,
|
858 |
+
"learning_rate": 3.600814931650894e-05,
|
859 |
+
"loss": 0.8686,
|
860 |
+
"step": 2975
|
861 |
+
},
|
862 |
+
{
|
863 |
+
"epoch": 1.0645848119233499,
|
864 |
+
"grad_norm": 8.107535362243652,
|
865 |
+
"learning_rate": 3.584384858044164e-05,
|
866 |
+
"loss": 0.8142,
|
867 |
+
"step": 3000
|
868 |
+
},
|
869 |
+
{
|
870 |
+
"epoch": 1.0734563520227112,
|
871 |
+
"grad_norm": 4.729946613311768,
|
872 |
+
"learning_rate": 3.5679547844374346e-05,
|
873 |
+
"loss": 0.8848,
|
874 |
+
"step": 3025
|
875 |
+
},
|
876 |
+
{
|
877 |
+
"epoch": 1.0823278921220725,
|
878 |
+
"grad_norm": 4.649665832519531,
|
879 |
+
"learning_rate": 3.551524710830705e-05,
|
880 |
+
"loss": 0.82,
|
881 |
+
"step": 3050
|
882 |
+
},
|
883 |
+
{
|
884 |
+
"epoch": 1.0911994322214336,
|
885 |
+
"grad_norm": 6.006737232208252,
|
886 |
+
"learning_rate": 3.535094637223975e-05,
|
887 |
+
"loss": 0.928,
|
888 |
+
"step": 3075
|
889 |
+
},
|
890 |
+
{
|
891 |
+
"epoch": 1.1000709723207949,
|
892 |
+
"grad_norm": 6.667446613311768,
|
893 |
+
"learning_rate": 3.518664563617245e-05,
|
894 |
+
"loss": 0.8371,
|
895 |
+
"step": 3100
|
896 |
+
},
|
897 |
+
{
|
898 |
+
"epoch": 1.1089425124201562,
|
899 |
+
"grad_norm": 5.0947418212890625,
|
900 |
+
"learning_rate": 3.502234490010515e-05,
|
901 |
+
"loss": 0.807,
|
902 |
+
"step": 3125
|
903 |
+
},
|
904 |
+
{
|
905 |
+
"epoch": 1.1178140525195175,
|
906 |
+
"grad_norm": 7.8628129959106445,
|
907 |
+
"learning_rate": 3.4858044164037855e-05,
|
908 |
+
"loss": 0.8762,
|
909 |
+
"step": 3150
|
910 |
+
},
|
911 |
+
{
|
912 |
+
"epoch": 1.1266855926188786,
|
913 |
+
"grad_norm": 7.366974830627441,
|
914 |
+
"learning_rate": 3.469374342797056e-05,
|
915 |
+
"loss": 0.9567,
|
916 |
+
"step": 3175
|
917 |
+
},
|
918 |
+
{
|
919 |
+
"epoch": 1.1355571327182399,
|
920 |
+
"grad_norm": 7.182910442352295,
|
921 |
+
"learning_rate": 3.4529442691903264e-05,
|
922 |
+
"loss": 0.8733,
|
923 |
+
"step": 3200
|
924 |
+
},
|
925 |
+
{
|
926 |
+
"epoch": 1.1444286728176012,
|
927 |
+
"grad_norm": 4.816949844360352,
|
928 |
+
"learning_rate": 3.436514195583596e-05,
|
929 |
+
"loss": 0.9105,
|
930 |
+
"step": 3225
|
931 |
+
},
|
932 |
+
{
|
933 |
+
"epoch": 1.1533002129169625,
|
934 |
+
"grad_norm": 5.3113813400268555,
|
935 |
+
"learning_rate": 3.4200841219768666e-05,
|
936 |
+
"loss": 0.9543,
|
937 |
+
"step": 3250
|
938 |
+
},
|
939 |
+
{
|
940 |
+
"epoch": 1.1621717530163236,
|
941 |
+
"grad_norm": 8.444610595703125,
|
942 |
+
"learning_rate": 3.403654048370137e-05,
|
943 |
+
"loss": 0.8729,
|
944 |
+
"step": 3275
|
945 |
+
},
|
946 |
+
{
|
947 |
+
"epoch": 1.171043293115685,
|
948 |
+
"grad_norm": 13.175244331359863,
|
949 |
+
"learning_rate": 3.387223974763407e-05,
|
950 |
+
"loss": 0.84,
|
951 |
+
"step": 3300
|
952 |
+
},
|
953 |
+
{
|
954 |
+
"epoch": 1.1799148332150462,
|
955 |
+
"grad_norm": 4.161907196044922,
|
956 |
+
"learning_rate": 3.370793901156677e-05,
|
957 |
+
"loss": 0.8264,
|
958 |
+
"step": 3325
|
959 |
+
},
|
960 |
+
{
|
961 |
+
"epoch": 1.1887863733144073,
|
962 |
+
"grad_norm": 5.216485977172852,
|
963 |
+
"learning_rate": 3.354363827549948e-05,
|
964 |
+
"loss": 0.8398,
|
965 |
+
"step": 3350
|
966 |
+
},
|
967 |
+
{
|
968 |
+
"epoch": 1.1976579134137686,
|
969 |
+
"grad_norm": 5.230435371398926,
|
970 |
+
"learning_rate": 3.3379337539432175e-05,
|
971 |
+
"loss": 0.9218,
|
972 |
+
"step": 3375
|
973 |
+
},
|
974 |
+
{
|
975 |
+
"epoch": 1.20652945351313,
|
976 |
+
"grad_norm": 6.927298069000244,
|
977 |
+
"learning_rate": 3.321503680336488e-05,
|
978 |
+
"loss": 0.8361,
|
979 |
+
"step": 3400
|
980 |
+
},
|
981 |
+
{
|
982 |
+
"epoch": 1.2154009936124912,
|
983 |
+
"grad_norm": 8.193685531616211,
|
984 |
+
"learning_rate": 3.3050736067297585e-05,
|
985 |
+
"loss": 0.8125,
|
986 |
+
"step": 3425
|
987 |
+
},
|
988 |
+
{
|
989 |
+
"epoch": 1.2242725337118523,
|
990 |
+
"grad_norm": 4.92389440536499,
|
991 |
+
"learning_rate": 3.288643533123029e-05,
|
992 |
+
"loss": 0.9335,
|
993 |
+
"step": 3450
|
994 |
+
},
|
995 |
+
{
|
996 |
+
"epoch": 1.2331440738112136,
|
997 |
+
"grad_norm": 7.39652156829834,
|
998 |
+
"learning_rate": 3.272213459516299e-05,
|
999 |
+
"loss": 0.8435,
|
1000 |
+
"step": 3475
|
1001 |
+
},
|
1002 |
+
{
|
1003 |
+
"epoch": 1.242015613910575,
|
1004 |
+
"grad_norm": 5.768881320953369,
|
1005 |
+
"learning_rate": 3.2557833859095685e-05,
|
1006 |
+
"loss": 0.8422,
|
1007 |
+
"step": 3500
|
1008 |
+
},
|
1009 |
+
{
|
1010 |
+
"epoch": 1.250887154009936,
|
1011 |
+
"grad_norm": 6.411141872406006,
|
1012 |
+
"learning_rate": 3.239353312302839e-05,
|
1013 |
+
"loss": 0.8596,
|
1014 |
+
"step": 3525
|
1015 |
+
},
|
1016 |
+
{
|
1017 |
+
"epoch": 1.2597586941092973,
|
1018 |
+
"grad_norm": 2.415675163269043,
|
1019 |
+
"learning_rate": 3.2229232386961094e-05,
|
1020 |
+
"loss": 0.761,
|
1021 |
+
"step": 3550
|
1022 |
+
},
|
1023 |
+
{
|
1024 |
+
"epoch": 1.2686302342086586,
|
1025 |
+
"grad_norm": 4.490350246429443,
|
1026 |
+
"learning_rate": 3.20649316508938e-05,
|
1027 |
+
"loss": 0.8352,
|
1028 |
+
"step": 3575
|
1029 |
+
},
|
1030 |
+
{
|
1031 |
+
"epoch": 1.27750177430802,
|
1032 |
+
"grad_norm": 6.4845871925354,
|
1033 |
+
"learning_rate": 3.19006309148265e-05,
|
1034 |
+
"loss": 0.9389,
|
1035 |
+
"step": 3600
|
1036 |
+
},
|
1037 |
+
{
|
1038 |
+
"epoch": 1.2863733144073812,
|
1039 |
+
"grad_norm": 9.419644355773926,
|
1040 |
+
"learning_rate": 3.173633017875921e-05,
|
1041 |
+
"loss": 0.8249,
|
1042 |
+
"step": 3625
|
1043 |
+
},
|
1044 |
+
{
|
1045 |
+
"epoch": 1.2952448545067423,
|
1046 |
+
"grad_norm": 4.427757740020752,
|
1047 |
+
"learning_rate": 3.1572029442691905e-05,
|
1048 |
+
"loss": 0.8947,
|
1049 |
+
"step": 3650
|
1050 |
+
},
|
1051 |
+
{
|
1052 |
+
"epoch": 1.3041163946061036,
|
1053 |
+
"grad_norm": 5.791045665740967,
|
1054 |
+
"learning_rate": 3.140772870662461e-05,
|
1055 |
+
"loss": 0.9288,
|
1056 |
+
"step": 3675
|
1057 |
+
},
|
1058 |
+
{
|
1059 |
+
"epoch": 1.312987934705465,
|
1060 |
+
"grad_norm": 6.885122299194336,
|
1061 |
+
"learning_rate": 3.124342797055731e-05,
|
1062 |
+
"loss": 0.8869,
|
1063 |
+
"step": 3700
|
1064 |
+
},
|
1065 |
+
{
|
1066 |
+
"epoch": 1.321859474804826,
|
1067 |
+
"grad_norm": 4.827605247497559,
|
1068 |
+
"learning_rate": 3.107912723449001e-05,
|
1069 |
+
"loss": 0.8798,
|
1070 |
+
"step": 3725
|
1071 |
+
},
|
1072 |
+
{
|
1073 |
+
"epoch": 1.3307310149041873,
|
1074 |
+
"grad_norm": 5.087188243865967,
|
1075 |
+
"learning_rate": 3.0914826498422716e-05,
|
1076 |
+
"loss": 0.8865,
|
1077 |
+
"step": 3750
|
1078 |
+
},
|
1079 |
+
{
|
1080 |
+
"epoch": 1.3396025550035486,
|
1081 |
+
"grad_norm": 6.508386135101318,
|
1082 |
+
"learning_rate": 3.0750525762355414e-05,
|
1083 |
+
"loss": 0.769,
|
1084 |
+
"step": 3775
|
1085 |
+
},
|
1086 |
+
{
|
1087 |
+
"epoch": 1.34847409510291,
|
1088 |
+
"grad_norm": 3.5530879497528076,
|
1089 |
+
"learning_rate": 3.058622502628812e-05,
|
1090 |
+
"loss": 0.8959,
|
1091 |
+
"step": 3800
|
1092 |
+
},
|
1093 |
+
{
|
1094 |
+
"epoch": 1.3573456352022713,
|
1095 |
+
"grad_norm": 5.191397666931152,
|
1096 |
+
"learning_rate": 3.042192429022082e-05,
|
1097 |
+
"loss": 0.9568,
|
1098 |
+
"step": 3825
|
1099 |
+
},
|
1100 |
+
{
|
1101 |
+
"epoch": 1.3662171753016323,
|
1102 |
+
"grad_norm": 6.676424980163574,
|
1103 |
+
"learning_rate": 3.0257623554153524e-05,
|
1104 |
+
"loss": 0.9181,
|
1105 |
+
"step": 3850
|
1106 |
+
},
|
1107 |
+
{
|
1108 |
+
"epoch": 1.3750887154009936,
|
1109 |
+
"grad_norm": 3.397516965866089,
|
1110 |
+
"learning_rate": 3.009332281808623e-05,
|
1111 |
+
"loss": 0.7627,
|
1112 |
+
"step": 3875
|
1113 |
+
},
|
1114 |
+
{
|
1115 |
+
"epoch": 1.3839602555003547,
|
1116 |
+
"grad_norm": 6.955685615539551,
|
1117 |
+
"learning_rate": 2.9929022082018933e-05,
|
1118 |
+
"loss": 0.8065,
|
1119 |
+
"step": 3900
|
1120 |
+
},
|
1121 |
+
{
|
1122 |
+
"epoch": 1.392831795599716,
|
1123 |
+
"grad_norm": 4.397638320922852,
|
1124 |
+
"learning_rate": 2.976472134595163e-05,
|
1125 |
+
"loss": 0.9026,
|
1126 |
+
"step": 3925
|
1127 |
+
},
|
1128 |
+
{
|
1129 |
+
"epoch": 1.4017033356990773,
|
1130 |
+
"grad_norm": 4.824989318847656,
|
1131 |
+
"learning_rate": 2.9600420609884332e-05,
|
1132 |
+
"loss": 0.8852,
|
1133 |
+
"step": 3950
|
1134 |
+
},
|
1135 |
+
{
|
1136 |
+
"epoch": 1.4105748757984387,
|
1137 |
+
"grad_norm": 6.728146076202393,
|
1138 |
+
"learning_rate": 2.9436119873817037e-05,
|
1139 |
+
"loss": 0.8408,
|
1140 |
+
"step": 3975
|
1141 |
+
},
|
1142 |
+
{
|
1143 |
+
"epoch": 1.4194464158978,
|
1144 |
+
"grad_norm": 16.979982376098633,
|
1145 |
+
"learning_rate": 2.927181913774974e-05,
|
1146 |
+
"loss": 0.9352,
|
1147 |
+
"step": 4000
|
1148 |
+
},
|
1149 |
+
{
|
1150 |
+
"epoch": 1.428317955997161,
|
1151 |
+
"grad_norm": 6.757816791534424,
|
1152 |
+
"learning_rate": 2.9107518401682442e-05,
|
1153 |
+
"loss": 0.89,
|
1154 |
+
"step": 4025
|
1155 |
+
},
|
1156 |
+
{
|
1157 |
+
"epoch": 1.4371894960965224,
|
1158 |
+
"grad_norm": 9.163891792297363,
|
1159 |
+
"learning_rate": 2.894321766561514e-05,
|
1160 |
+
"loss": 0.9316,
|
1161 |
+
"step": 4050
|
1162 |
+
},
|
1163 |
+
{
|
1164 |
+
"epoch": 1.4460610361958837,
|
1165 |
+
"grad_norm": 9.104488372802734,
|
1166 |
+
"learning_rate": 2.8778916929547845e-05,
|
1167 |
+
"loss": 0.9046,
|
1168 |
+
"step": 4075
|
1169 |
+
},
|
1170 |
+
{
|
1171 |
+
"epoch": 1.4549325762952448,
|
1172 |
+
"grad_norm": 6.510610580444336,
|
1173 |
+
"learning_rate": 2.861461619348055e-05,
|
1174 |
+
"loss": 0.7608,
|
1175 |
+
"step": 4100
|
1176 |
+
},
|
1177 |
+
{
|
1178 |
+
"epoch": 1.463804116394606,
|
1179 |
+
"grad_norm": 6.328439235687256,
|
1180 |
+
"learning_rate": 2.845031545741325e-05,
|
1181 |
+
"loss": 1.0008,
|
1182 |
+
"step": 4125
|
1183 |
+
},
|
1184 |
+
{
|
1185 |
+
"epoch": 1.4726756564939674,
|
1186 |
+
"grad_norm": 6.498648166656494,
|
1187 |
+
"learning_rate": 2.8286014721345955e-05,
|
1188 |
+
"loss": 0.918,
|
1189 |
+
"step": 4150
|
1190 |
+
},
|
1191 |
+
{
|
1192 |
+
"epoch": 1.4815471965933287,
|
1193 |
+
"grad_norm": 6.506234169006348,
|
1194 |
+
"learning_rate": 2.8121713985278653e-05,
|
1195 |
+
"loss": 0.8831,
|
1196 |
+
"step": 4175
|
1197 |
+
},
|
1198 |
+
{
|
1199 |
+
"epoch": 1.49041873669269,
|
1200 |
+
"grad_norm": 3.214972734451294,
|
1201 |
+
"learning_rate": 2.7957413249211357e-05,
|
1202 |
+
"loss": 0.8107,
|
1203 |
+
"step": 4200
|
1204 |
+
},
|
1205 |
+
{
|
1206 |
+
"epoch": 1.499290276792051,
|
1207 |
+
"grad_norm": 4.053207874298096,
|
1208 |
+
"learning_rate": 2.7793112513144058e-05,
|
1209 |
+
"loss": 0.7369,
|
1210 |
+
"step": 4225
|
1211 |
+
},
|
1212 |
+
{
|
1213 |
+
"epoch": 1.5081618168914124,
|
1214 |
+
"grad_norm": 7.692103385925293,
|
1215 |
+
"learning_rate": 2.7628811777076763e-05,
|
1216 |
+
"loss": 0.8413,
|
1217 |
+
"step": 4250
|
1218 |
+
},
|
1219 |
+
{
|
1220 |
+
"epoch": 1.5170333569907735,
|
1221 |
+
"grad_norm": 7.168026447296143,
|
1222 |
+
"learning_rate": 2.7464511041009467e-05,
|
1223 |
+
"loss": 0.7727,
|
1224 |
+
"step": 4275
|
1225 |
+
},
|
1226 |
+
{
|
1227 |
+
"epoch": 1.5259048970901348,
|
1228 |
+
"grad_norm": 37.76559066772461,
|
1229 |
+
"learning_rate": 2.730021030494217e-05,
|
1230 |
+
"loss": 0.896,
|
1231 |
+
"step": 4300
|
1232 |
+
},
|
1233 |
+
{
|
1234 |
+
"epoch": 1.534776437189496,
|
1235 |
+
"grad_norm": 7.820963382720947,
|
1236 |
+
"learning_rate": 2.7135909568874866e-05,
|
1237 |
+
"loss": 0.9137,
|
1238 |
+
"step": 4325
|
1239 |
+
},
|
1240 |
+
{
|
1241 |
+
"epoch": 1.5436479772888574,
|
1242 |
+
"grad_norm": 5.012437343597412,
|
1243 |
+
"learning_rate": 2.697160883280757e-05,
|
1244 |
+
"loss": 0.8227,
|
1245 |
+
"step": 4350
|
1246 |
+
},
|
1247 |
+
{
|
1248 |
+
"epoch": 1.5525195173882187,
|
1249 |
+
"grad_norm": 4.973189353942871,
|
1250 |
+
"learning_rate": 2.6807308096740275e-05,
|
1251 |
+
"loss": 0.7805,
|
1252 |
+
"step": 4375
|
1253 |
+
},
|
1254 |
+
{
|
1255 |
+
"epoch": 1.56139105748758,
|
1256 |
+
"grad_norm": 5.134377956390381,
|
1257 |
+
"learning_rate": 2.664300736067298e-05,
|
1258 |
+
"loss": 0.8911,
|
1259 |
+
"step": 4400
|
1260 |
+
},
|
1261 |
+
{
|
1262 |
+
"epoch": 1.570262597586941,
|
1263 |
+
"grad_norm": 4.107070446014404,
|
1264 |
+
"learning_rate": 2.647870662460568e-05,
|
1265 |
+
"loss": 0.9355,
|
1266 |
+
"step": 4425
|
1267 |
+
},
|
1268 |
+
{
|
1269 |
+
"epoch": 1.5791341376863024,
|
1270 |
+
"grad_norm": 4.052985191345215,
|
1271 |
+
"learning_rate": 2.631440588853838e-05,
|
1272 |
+
"loss": 0.9195,
|
1273 |
+
"step": 4450
|
1274 |
+
},
|
1275 |
+
{
|
1276 |
+
"epoch": 1.5880056777856635,
|
1277 |
+
"grad_norm": 6.549808025360107,
|
1278 |
+
"learning_rate": 2.6150105152471083e-05,
|
1279 |
+
"loss": 0.8856,
|
1280 |
+
"step": 4475
|
1281 |
+
},
|
1282 |
+
{
|
1283 |
+
"epoch": 1.5968772178850248,
|
1284 |
+
"grad_norm": 4.466334819793701,
|
1285 |
+
"learning_rate": 2.5985804416403788e-05,
|
1286 |
+
"loss": 0.9777,
|
1287 |
+
"step": 4500
|
1288 |
+
},
|
1289 |
+
{
|
1290 |
+
"epoch": 1.605748757984386,
|
1291 |
+
"grad_norm": 4.111423015594482,
|
1292 |
+
"learning_rate": 2.582150368033649e-05,
|
1293 |
+
"loss": 0.8266,
|
1294 |
+
"step": 4525
|
1295 |
+
},
|
1296 |
+
{
|
1297 |
+
"epoch": 1.6146202980837474,
|
1298 |
+
"grad_norm": 5.717258453369141,
|
1299 |
+
"learning_rate": 2.5657202944269193e-05,
|
1300 |
+
"loss": 0.773,
|
1301 |
+
"step": 4550
|
1302 |
+
},
|
1303 |
+
{
|
1304 |
+
"epoch": 1.6234918381831087,
|
1305 |
+
"grad_norm": 5.022154331207275,
|
1306 |
+
"learning_rate": 2.5492902208201898e-05,
|
1307 |
+
"loss": 0.8747,
|
1308 |
+
"step": 4575
|
1309 |
+
},
|
1310 |
+
{
|
1311 |
+
"epoch": 1.6323633782824698,
|
1312 |
+
"grad_norm": 3.223011016845703,
|
1313 |
+
"learning_rate": 2.5328601472134596e-05,
|
1314 |
+
"loss": 0.8246,
|
1315 |
+
"step": 4600
|
1316 |
+
},
|
1317 |
+
{
|
1318 |
+
"epoch": 1.641234918381831,
|
1319 |
+
"grad_norm": 5.4209303855896,
|
1320 |
+
"learning_rate": 2.5164300736067297e-05,
|
1321 |
+
"loss": 0.8347,
|
1322 |
+
"step": 4625
|
1323 |
+
},
|
1324 |
+
{
|
1325 |
+
"epoch": 1.6501064584811922,
|
1326 |
+
"grad_norm": 6.209916114807129,
|
1327 |
+
"learning_rate": 2.5e-05,
|
1328 |
+
"loss": 0.946,
|
1329 |
+
"step": 4650
|
1330 |
+
},
|
1331 |
+
{
|
1332 |
+
"epoch": 1.6589779985805535,
|
1333 |
+
"grad_norm": 4.774755477905273,
|
1334 |
+
"learning_rate": 2.4835699263932706e-05,
|
1335 |
+
"loss": 0.8054,
|
1336 |
+
"step": 4675
|
1337 |
+
},
|
1338 |
+
{
|
1339 |
+
"epoch": 1.6678495386799148,
|
1340 |
+
"grad_norm": 7.4865193367004395,
|
1341 |
+
"learning_rate": 2.4671398527865407e-05,
|
1342 |
+
"loss": 0.7584,
|
1343 |
+
"step": 4700
|
1344 |
+
},
|
1345 |
+
{
|
1346 |
+
"epoch": 1.6767210787792761,
|
1347 |
+
"grad_norm": 6.235969543457031,
|
1348 |
+
"learning_rate": 2.4507097791798108e-05,
|
1349 |
+
"loss": 0.7856,
|
1350 |
+
"step": 4725
|
1351 |
+
},
|
1352 |
+
{
|
1353 |
+
"epoch": 1.6855926188786374,
|
1354 |
+
"grad_norm": 5.785863399505615,
|
1355 |
+
"learning_rate": 2.4342797055730813e-05,
|
1356 |
+
"loss": 0.8978,
|
1357 |
+
"step": 4750
|
1358 |
+
},
|
1359 |
+
{
|
1360 |
+
"epoch": 1.6944641589779987,
|
1361 |
+
"grad_norm": 4.585093021392822,
|
1362 |
+
"learning_rate": 2.4178496319663514e-05,
|
1363 |
+
"loss": 0.6833,
|
1364 |
+
"step": 4775
|
1365 |
+
},
|
1366 |
+
{
|
1367 |
+
"epoch": 1.7033356990773598,
|
1368 |
+
"grad_norm": 5.399811744689941,
|
1369 |
+
"learning_rate": 2.4014195583596215e-05,
|
1370 |
+
"loss": 0.7674,
|
1371 |
+
"step": 4800
|
1372 |
+
},
|
1373 |
+
{
|
1374 |
+
"epoch": 1.7122072391767211,
|
1375 |
+
"grad_norm": 5.478691101074219,
|
1376 |
+
"learning_rate": 2.3849894847528916e-05,
|
1377 |
+
"loss": 0.8765,
|
1378 |
+
"step": 4825
|
1379 |
+
},
|
1380 |
+
{
|
1381 |
+
"epoch": 1.7210787792760822,
|
1382 |
+
"grad_norm": 5.945518970489502,
|
1383 |
+
"learning_rate": 2.368559411146162e-05,
|
1384 |
+
"loss": 0.8706,
|
1385 |
+
"step": 4850
|
1386 |
+
},
|
1387 |
+
{
|
1388 |
+
"epoch": 1.7299503193754435,
|
1389 |
+
"grad_norm": 4.882993698120117,
|
1390 |
+
"learning_rate": 2.3521293375394325e-05,
|
1391 |
+
"loss": 0.7293,
|
1392 |
+
"step": 4875
|
1393 |
+
},
|
1394 |
+
{
|
1395 |
+
"epoch": 1.7388218594748048,
|
1396 |
+
"grad_norm": 6.987505912780762,
|
1397 |
+
"learning_rate": 2.3356992639327023e-05,
|
1398 |
+
"loss": 0.7372,
|
1399 |
+
"step": 4900
|
1400 |
+
},
|
1401 |
+
{
|
1402 |
+
"epoch": 1.7476933995741661,
|
1403 |
+
"grad_norm": 4.7848286628723145,
|
1404 |
+
"learning_rate": 2.3192691903259727e-05,
|
1405 |
+
"loss": 0.9114,
|
1406 |
+
"step": 4925
|
1407 |
+
},
|
1408 |
+
{
|
1409 |
+
"epoch": 1.7565649396735274,
|
1410 |
+
"grad_norm": 6.290490627288818,
|
1411 |
+
"learning_rate": 2.3028391167192432e-05,
|
1412 |
+
"loss": 0.8896,
|
1413 |
+
"step": 4950
|
1414 |
+
},
|
1415 |
+
{
|
1416 |
+
"epoch": 1.7654364797728885,
|
1417 |
+
"grad_norm": 6.204107284545898,
|
1418 |
+
"learning_rate": 2.2864090431125133e-05,
|
1419 |
+
"loss": 0.7874,
|
1420 |
+
"step": 4975
|
1421 |
+
},
|
1422 |
+
{
|
1423 |
+
"epoch": 1.7743080198722498,
|
1424 |
+
"grad_norm": 5.911350250244141,
|
1425 |
+
"learning_rate": 2.2699789695057834e-05,
|
1426 |
+
"loss": 0.8717,
|
1427 |
+
"step": 5000
|
1428 |
+
},
|
1429 |
+
{
|
1430 |
+
"epoch": 1.783179559971611,
|
1431 |
+
"grad_norm": 6.586339473724365,
|
1432 |
+
"learning_rate": 2.2535488958990535e-05,
|
1433 |
+
"loss": 0.924,
|
1434 |
+
"step": 5025
|
1435 |
+
},
|
1436 |
+
{
|
1437 |
+
"epoch": 1.7920511000709722,
|
1438 |
+
"grad_norm": 7.093676567077637,
|
1439 |
+
"learning_rate": 2.237118822292324e-05,
|
1440 |
+
"loss": 0.8317,
|
1441 |
+
"step": 5050
|
1442 |
+
},
|
1443 |
+
{
|
1444 |
+
"epoch": 1.8009226401703335,
|
1445 |
+
"grad_norm": 7.202934265136719,
|
1446 |
+
"learning_rate": 2.2206887486855944e-05,
|
1447 |
+
"loss": 0.7207,
|
1448 |
+
"step": 5075
|
1449 |
+
},
|
1450 |
+
{
|
1451 |
+
"epoch": 1.8097941802696949,
|
1452 |
+
"grad_norm": 9.095272064208984,
|
1453 |
+
"learning_rate": 2.2042586750788642e-05,
|
1454 |
+
"loss": 0.7929,
|
1455 |
+
"step": 5100
|
1456 |
+
},
|
1457 |
+
{
|
1458 |
+
"epoch": 1.8186657203690562,
|
1459 |
+
"grad_norm": 6.040229320526123,
|
1460 |
+
"learning_rate": 2.1878286014721347e-05,
|
1461 |
+
"loss": 0.9413,
|
1462 |
+
"step": 5125
|
1463 |
+
},
|
1464 |
+
{
|
1465 |
+
"epoch": 1.8275372604684175,
|
1466 |
+
"grad_norm": 4.86398983001709,
|
1467 |
+
"learning_rate": 2.171398527865405e-05,
|
1468 |
+
"loss": 0.8813,
|
1469 |
+
"step": 5150
|
1470 |
+
},
|
1471 |
+
{
|
1472 |
+
"epoch": 1.8364088005677786,
|
1473 |
+
"grad_norm": 4.922494888305664,
|
1474 |
+
"learning_rate": 2.1549684542586752e-05,
|
1475 |
+
"loss": 0.8695,
|
1476 |
+
"step": 5175
|
1477 |
+
},
|
1478 |
+
{
|
1479 |
+
"epoch": 1.8452803406671399,
|
1480 |
+
"grad_norm": 6.124248504638672,
|
1481 |
+
"learning_rate": 2.1385383806519453e-05,
|
1482 |
+
"loss": 0.7623,
|
1483 |
+
"step": 5200
|
1484 |
+
},
|
1485 |
+
{
|
1486 |
+
"epoch": 1.854151880766501,
|
1487 |
+
"grad_norm": 5.949371814727783,
|
1488 |
+
"learning_rate": 2.1221083070452158e-05,
|
1489 |
+
"loss": 0.8198,
|
1490 |
+
"step": 5225
|
1491 |
+
},
|
1492 |
+
{
|
1493 |
+
"epoch": 1.8630234208658623,
|
1494 |
+
"grad_norm": 5.420801162719727,
|
1495 |
+
"learning_rate": 2.105678233438486e-05,
|
1496 |
+
"loss": 0.8091,
|
1497 |
+
"step": 5250
|
1498 |
+
},
|
1499 |
+
{
|
1500 |
+
"epoch": 1.8718949609652236,
|
1501 |
+
"grad_norm": 4.861514091491699,
|
1502 |
+
"learning_rate": 2.0892481598317563e-05,
|
1503 |
+
"loss": 0.7612,
|
1504 |
+
"step": 5275
|
1505 |
+
},
|
1506 |
+
{
|
1507 |
+
"epoch": 1.8807665010645849,
|
1508 |
+
"grad_norm": 7.055742263793945,
|
1509 |
+
"learning_rate": 2.072818086225026e-05,
|
1510 |
+
"loss": 0.9407,
|
1511 |
+
"step": 5300
|
1512 |
+
},
|
1513 |
+
{
|
1514 |
+
"epoch": 1.8896380411639462,
|
1515 |
+
"grad_norm": 5.109190940856934,
|
1516 |
+
"learning_rate": 2.0563880126182966e-05,
|
1517 |
+
"loss": 0.835,
|
1518 |
+
"step": 5325
|
1519 |
+
},
|
1520 |
+
{
|
1521 |
+
"epoch": 1.8985095812633073,
|
1522 |
+
"grad_norm": 7.075034141540527,
|
1523 |
+
"learning_rate": 2.039957939011567e-05,
|
1524 |
+
"loss": 0.7638,
|
1525 |
+
"step": 5350
|
1526 |
+
},
|
1527 |
+
{
|
1528 |
+
"epoch": 1.9073811213626686,
|
1529 |
+
"grad_norm": 10.149177551269531,
|
1530 |
+
"learning_rate": 2.023527865404837e-05,
|
1531 |
+
"loss": 0.7629,
|
1532 |
+
"step": 5375
|
1533 |
+
},
|
1534 |
+
{
|
1535 |
+
"epoch": 1.9162526614620297,
|
1536 |
+
"grad_norm": 5.505281448364258,
|
1537 |
+
"learning_rate": 2.0070977917981073e-05,
|
1538 |
+
"loss": 0.8724,
|
1539 |
+
"step": 5400
|
1540 |
+
},
|
1541 |
+
{
|
1542 |
+
"epoch": 1.925124201561391,
|
1543 |
+
"grad_norm": 4.993834495544434,
|
1544 |
+
"learning_rate": 1.9906677181913777e-05,
|
1545 |
+
"loss": 0.8732,
|
1546 |
+
"step": 5425
|
1547 |
+
},
|
1548 |
+
{
|
1549 |
+
"epoch": 1.9339957416607523,
|
1550 |
+
"grad_norm": 8.533299446105957,
|
1551 |
+
"learning_rate": 1.9742376445846478e-05,
|
1552 |
+
"loss": 0.7291,
|
1553 |
+
"step": 5450
|
1554 |
+
},
|
1555 |
+
{
|
1556 |
+
"epoch": 1.9428672817601136,
|
1557 |
+
"grad_norm": 5.450367450714111,
|
1558 |
+
"learning_rate": 1.9578075709779183e-05,
|
1559 |
+
"loss": 0.8014,
|
1560 |
+
"step": 5475
|
1561 |
+
},
|
1562 |
+
{
|
1563 |
+
"epoch": 1.951738821859475,
|
1564 |
+
"grad_norm": 6.007541179656982,
|
1565 |
+
"learning_rate": 1.941377497371188e-05,
|
1566 |
+
"loss": 0.7869,
|
1567 |
+
"step": 5500
|
1568 |
+
},
|
1569 |
+
{
|
1570 |
+
"epoch": 1.9606103619588362,
|
1571 |
+
"grad_norm": 4.755675792694092,
|
1572 |
+
"learning_rate": 1.9249474237644585e-05,
|
1573 |
+
"loss": 0.7357,
|
1574 |
+
"step": 5525
|
1575 |
+
},
|
1576 |
+
{
|
1577 |
+
"epoch": 1.9694819020581973,
|
1578 |
+
"grad_norm": 6.058708667755127,
|
1579 |
+
"learning_rate": 1.908517350157729e-05,
|
1580 |
+
"loss": 0.8856,
|
1581 |
+
"step": 5550
|
1582 |
+
},
|
1583 |
+
{
|
1584 |
+
"epoch": 1.9783534421575586,
|
1585 |
+
"grad_norm": 5.893248558044434,
|
1586 |
+
"learning_rate": 1.892087276550999e-05,
|
1587 |
+
"loss": 0.7709,
|
1588 |
+
"step": 5575
|
1589 |
+
},
|
1590 |
+
{
|
1591 |
+
"epoch": 1.9872249822569197,
|
1592 |
+
"grad_norm": 6.941923141479492,
|
1593 |
+
"learning_rate": 1.8756572029442692e-05,
|
1594 |
+
"loss": 0.8291,
|
1595 |
+
"step": 5600
|
1596 |
+
},
|
1597 |
+
{
|
1598 |
+
"epoch": 1.996096522356281,
|
1599 |
+
"grad_norm": 5.693519115447998,
|
1600 |
+
"learning_rate": 1.8592271293375396e-05,
|
1601 |
+
"loss": 0.7554,
|
1602 |
+
"step": 5625
|
1603 |
+
},
|
1604 |
+
{
|
1605 |
+
"epoch": 2.0,
|
1606 |
+
"eval_accuracy": 0.6713398402839397,
|
1607 |
+
"eval_f1_macro": 0.6784994509782545,
|
1608 |
+
"eval_f1_micro": 0.6713398402839397,
|
1609 |
+
"eval_f1_weighted": 0.6752966842367127,
|
1610 |
+
"eval_loss": 0.7940883040428162,
|
1611 |
+
"eval_precision_macro": 0.6994216245852686,
|
1612 |
+
"eval_precision_micro": 0.6713398402839397,
|
1613 |
+
"eval_precision_weighted": 0.6949112315057265,
|
1614 |
+
"eval_recall_macro": 0.6730557962224918,
|
1615 |
+
"eval_recall_micro": 0.6713398402839397,
|
1616 |
+
"eval_recall_weighted": 0.6713398402839397,
|
1617 |
+
"eval_runtime": 1183.1474,
|
1618 |
+
"eval_samples_per_second": 4.763,
|
1619 |
+
"eval_steps_per_second": 0.298,
|
1620 |
+
"step": 5636
|
1621 |
+
},
|
1622 |
+
{
|
1623 |
+
"epoch": 2.0049680624556423,
|
1624 |
+
"grad_norm": 6.007699489593506,
|
1625 |
+
"learning_rate": 1.8427970557308097e-05,
|
1626 |
+
"loss": 0.7755,
|
1627 |
+
"step": 5650
|
1628 |
+
},
|
1629 |
+
{
|
1630 |
+
"epoch": 2.0138396025550036,
|
1631 |
+
"grad_norm": 6.981593132019043,
|
1632 |
+
"learning_rate": 1.82636698212408e-05,
|
1633 |
+
"loss": 0.8676,
|
1634 |
+
"step": 5675
|
1635 |
+
},
|
1636 |
+
{
|
1637 |
+
"epoch": 2.022711142654365,
|
1638 |
+
"grad_norm": 4.4236040115356445,
|
1639 |
+
"learning_rate": 1.8099369085173503e-05,
|
1640 |
+
"loss": 0.7124,
|
1641 |
+
"step": 5700
|
1642 |
+
},
|
1643 |
+
{
|
1644 |
+
"epoch": 2.031582682753726,
|
1645 |
+
"grad_norm": 6.685351371765137,
|
1646 |
+
"learning_rate": 1.7935068349106204e-05,
|
1647 |
+
"loss": 0.864,
|
1648 |
+
"step": 5725
|
1649 |
+
},
|
1650 |
+
{
|
1651 |
+
"epoch": 2.040454222853087,
|
1652 |
+
"grad_norm": 6.873079776763916,
|
1653 |
+
"learning_rate": 1.777076761303891e-05,
|
1654 |
+
"loss": 0.8414,
|
1655 |
+
"step": 5750
|
1656 |
+
},
|
1657 |
+
{
|
1658 |
+
"epoch": 2.0493257629524484,
|
1659 |
+
"grad_norm": 7.3745317459106445,
|
1660 |
+
"learning_rate": 1.760646687697161e-05,
|
1661 |
+
"loss": 0.7731,
|
1662 |
+
"step": 5775
|
1663 |
+
},
|
1664 |
+
{
|
1665 |
+
"epoch": 2.0581973030518097,
|
1666 |
+
"grad_norm": 4.843000411987305,
|
1667 |
+
"learning_rate": 1.744216614090431e-05,
|
1668 |
+
"loss": 0.6793,
|
1669 |
+
"step": 5800
|
1670 |
+
},
|
1671 |
+
{
|
1672 |
+
"epoch": 2.067068843151171,
|
1673 |
+
"grad_norm": 8.414238929748535,
|
1674 |
+
"learning_rate": 1.7277865404837016e-05,
|
1675 |
+
"loss": 0.808,
|
1676 |
+
"step": 5825
|
1677 |
+
},
|
1678 |
+
{
|
1679 |
+
"epoch": 2.0759403832505323,
|
1680 |
+
"grad_norm": 4.896043300628662,
|
1681 |
+
"learning_rate": 1.7113564668769717e-05,
|
1682 |
+
"loss": 0.7711,
|
1683 |
+
"step": 5850
|
1684 |
+
},
|
1685 |
+
{
|
1686 |
+
"epoch": 2.0848119233498936,
|
1687 |
+
"grad_norm": 5.479866981506348,
|
1688 |
+
"learning_rate": 1.6949263932702418e-05,
|
1689 |
+
"loss": 0.8178,
|
1690 |
+
"step": 5875
|
1691 |
+
},
|
1692 |
+
{
|
1693 |
+
"epoch": 2.093683463449255,
|
1694 |
+
"grad_norm": 5.603784561157227,
|
1695 |
+
"learning_rate": 1.6784963196635122e-05,
|
1696 |
+
"loss": 0.647,
|
1697 |
+
"step": 5900
|
1698 |
+
},
|
1699 |
+
{
|
1700 |
+
"epoch": 2.1025550035486162,
|
1701 |
+
"grad_norm": 4.867652893066406,
|
1702 |
+
"learning_rate": 1.6620662460567824e-05,
|
1703 |
+
"loss": 0.795,
|
1704 |
+
"step": 5925
|
1705 |
+
},
|
1706 |
+
{
|
1707 |
+
"epoch": 2.111426543647977,
|
1708 |
+
"grad_norm": 5.600367069244385,
|
1709 |
+
"learning_rate": 1.6456361724500528e-05,
|
1710 |
+
"loss": 0.8532,
|
1711 |
+
"step": 5950
|
1712 |
+
},
|
1713 |
+
{
|
1714 |
+
"epoch": 2.1202980837473384,
|
1715 |
+
"grad_norm": 7.279195308685303,
|
1716 |
+
"learning_rate": 1.629206098843323e-05,
|
1717 |
+
"loss": 0.6361,
|
1718 |
+
"step": 5975
|
1719 |
+
},
|
1720 |
+
{
|
1721 |
+
"epoch": 2.1291696238466997,
|
1722 |
+
"grad_norm": 11.310209274291992,
|
1723 |
+
"learning_rate": 1.612776025236593e-05,
|
1724 |
+
"loss": 0.7322,
|
1725 |
+
"step": 6000
|
1726 |
+
},
|
1727 |
+
{
|
1728 |
+
"epoch": 2.138041163946061,
|
1729 |
+
"grad_norm": 8.624905586242676,
|
1730 |
+
"learning_rate": 1.5963459516298635e-05,
|
1731 |
+
"loss": 0.8561,
|
1732 |
+
"step": 6025
|
1733 |
+
},
|
1734 |
+
{
|
1735 |
+
"epoch": 2.1469127040454223,
|
1736 |
+
"grad_norm": 7.717365741729736,
|
1737 |
+
"learning_rate": 1.5799158780231336e-05,
|
1738 |
+
"loss": 0.7117,
|
1739 |
+
"step": 6050
|
1740 |
+
},
|
1741 |
+
{
|
1742 |
+
"epoch": 2.1557842441447836,
|
1743 |
+
"grad_norm": 5.242558479309082,
|
1744 |
+
"learning_rate": 1.5634858044164037e-05,
|
1745 |
+
"loss": 0.8348,
|
1746 |
+
"step": 6075
|
1747 |
+
},
|
1748 |
+
{
|
1749 |
+
"epoch": 2.164655784244145,
|
1750 |
+
"grad_norm": 8.414390563964844,
|
1751 |
+
"learning_rate": 1.547055730809674e-05,
|
1752 |
+
"loss": 0.8712,
|
1753 |
+
"step": 6100
|
1754 |
+
},
|
1755 |
+
{
|
1756 |
+
"epoch": 2.173527324343506,
|
1757 |
+
"grad_norm": 4.2956461906433105,
|
1758 |
+
"learning_rate": 1.5306256572029443e-05,
|
1759 |
+
"loss": 0.8593,
|
1760 |
+
"step": 6125
|
1761 |
+
},
|
1762 |
+
{
|
1763 |
+
"epoch": 2.182398864442867,
|
1764 |
+
"grad_norm": 5.302322864532471,
|
1765 |
+
"learning_rate": 1.5141955835962146e-05,
|
1766 |
+
"loss": 0.8543,
|
1767 |
+
"step": 6150
|
1768 |
+
},
|
1769 |
+
{
|
1770 |
+
"epoch": 2.1912704045422284,
|
1771 |
+
"grad_norm": 8.463561058044434,
|
1772 |
+
"learning_rate": 1.497765509989485e-05,
|
1773 |
+
"loss": 0.7953,
|
1774 |
+
"step": 6175
|
1775 |
+
},
|
1776 |
+
{
|
1777 |
+
"epoch": 2.2001419446415897,
|
1778 |
+
"grad_norm": 7.6317853927612305,
|
1779 |
+
"learning_rate": 1.481335436382755e-05,
|
1780 |
+
"loss": 0.8429,
|
1781 |
+
"step": 6200
|
1782 |
+
},
|
1783 |
+
{
|
1784 |
+
"epoch": 2.209013484740951,
|
1785 |
+
"grad_norm": 8.177587509155273,
|
1786 |
+
"learning_rate": 1.4649053627760254e-05,
|
1787 |
+
"loss": 0.8472,
|
1788 |
+
"step": 6225
|
1789 |
+
},
|
1790 |
+
{
|
1791 |
+
"epoch": 2.2178850248403124,
|
1792 |
+
"grad_norm": 9.943741798400879,
|
1793 |
+
"learning_rate": 1.4484752891692954e-05,
|
1794 |
+
"loss": 0.7034,
|
1795 |
+
"step": 6250
|
1796 |
+
},
|
1797 |
+
{
|
1798 |
+
"epoch": 2.2267565649396737,
|
1799 |
+
"grad_norm": 5.518933296203613,
|
1800 |
+
"learning_rate": 1.4320452155625658e-05,
|
1801 |
+
"loss": 0.8279,
|
1802 |
+
"step": 6275
|
1803 |
+
},
|
1804 |
+
{
|
1805 |
+
"epoch": 2.235628105039035,
|
1806 |
+
"grad_norm": 5.986506462097168,
|
1807 |
+
"learning_rate": 1.4156151419558361e-05,
|
1808 |
+
"loss": 0.7338,
|
1809 |
+
"step": 6300
|
1810 |
+
},
|
1811 |
+
{
|
1812 |
+
"epoch": 2.244499645138396,
|
1813 |
+
"grad_norm": 6.913864612579346,
|
1814 |
+
"learning_rate": 1.3991850683491062e-05,
|
1815 |
+
"loss": 0.75,
|
1816 |
+
"step": 6325
|
1817 |
+
},
|
1818 |
+
{
|
1819 |
+
"epoch": 2.253371185237757,
|
1820 |
+
"grad_norm": 14.090570449829102,
|
1821 |
+
"learning_rate": 1.3827549947423765e-05,
|
1822 |
+
"loss": 0.8477,
|
1823 |
+
"step": 6350
|
1824 |
+
},
|
1825 |
+
{
|
1826 |
+
"epoch": 2.2622427253371185,
|
1827 |
+
"grad_norm": 6.265283584594727,
|
1828 |
+
"learning_rate": 1.366324921135647e-05,
|
1829 |
+
"loss": 0.8558,
|
1830 |
+
"step": 6375
|
1831 |
+
},
|
1832 |
+
{
|
1833 |
+
"epoch": 2.2711142654364798,
|
1834 |
+
"grad_norm": 5.962440013885498,
|
1835 |
+
"learning_rate": 1.3498948475289169e-05,
|
1836 |
+
"loss": 0.7053,
|
1837 |
+
"step": 6400
|
1838 |
+
},
|
1839 |
+
{
|
1840 |
+
"epoch": 2.279985805535841,
|
1841 |
+
"grad_norm": 6.866328239440918,
|
1842 |
+
"learning_rate": 1.3334647739221873e-05,
|
1843 |
+
"loss": 0.7223,
|
1844 |
+
"step": 6425
|
1845 |
+
},
|
1846 |
+
{
|
1847 |
+
"epoch": 2.2888573456352024,
|
1848 |
+
"grad_norm": 9.418810844421387,
|
1849 |
+
"learning_rate": 1.3170347003154576e-05,
|
1850 |
+
"loss": 0.8068,
|
1851 |
+
"step": 6450
|
1852 |
+
},
|
1853 |
+
{
|
1854 |
+
"epoch": 2.2977288857345637,
|
1855 |
+
"grad_norm": 10.400421142578125,
|
1856 |
+
"learning_rate": 1.3006046267087277e-05,
|
1857 |
+
"loss": 0.7997,
|
1858 |
+
"step": 6475
|
1859 |
+
},
|
1860 |
+
{
|
1861 |
+
"epoch": 2.306600425833925,
|
1862 |
+
"grad_norm": 6.021897792816162,
|
1863 |
+
"learning_rate": 1.284174553101998e-05,
|
1864 |
+
"loss": 0.7601,
|
1865 |
+
"step": 6500
|
1866 |
+
},
|
1867 |
+
{
|
1868 |
+
"epoch": 2.315471965933286,
|
1869 |
+
"grad_norm": 4.0054521560668945,
|
1870 |
+
"learning_rate": 1.2677444794952681e-05,
|
1871 |
+
"loss": 0.8377,
|
1872 |
+
"step": 6525
|
1873 |
+
},
|
1874 |
+
{
|
1875 |
+
"epoch": 2.324343506032647,
|
1876 |
+
"grad_norm": 4.744009971618652,
|
1877 |
+
"learning_rate": 1.2513144058885384e-05,
|
1878 |
+
"loss": 0.8302,
|
1879 |
+
"step": 6550
|
1880 |
+
},
|
1881 |
+
{
|
1882 |
+
"epoch": 2.3332150461320085,
|
1883 |
+
"grad_norm": 12.244515419006348,
|
1884 |
+
"learning_rate": 1.2348843322818087e-05,
|
1885 |
+
"loss": 0.797,
|
1886 |
+
"step": 6575
|
1887 |
+
},
|
1888 |
+
{
|
1889 |
+
"epoch": 2.34208658623137,
|
1890 |
+
"grad_norm": 5.934150218963623,
|
1891 |
+
"learning_rate": 1.218454258675079e-05,
|
1892 |
+
"loss": 0.7326,
|
1893 |
+
"step": 6600
|
1894 |
+
},
|
1895 |
+
{
|
1896 |
+
"epoch": 2.350958126330731,
|
1897 |
+
"grad_norm": 7.615633010864258,
|
1898 |
+
"learning_rate": 1.2020241850683493e-05,
|
1899 |
+
"loss": 0.6852,
|
1900 |
+
"step": 6625
|
1901 |
+
},
|
1902 |
+
{
|
1903 |
+
"epoch": 2.3598296664300924,
|
1904 |
+
"grad_norm": 2.2285540103912354,
|
1905 |
+
"learning_rate": 1.1855941114616194e-05,
|
1906 |
+
"loss": 0.6879,
|
1907 |
+
"step": 6650
|
1908 |
+
},
|
1909 |
+
{
|
1910 |
+
"epoch": 2.3687012065294537,
|
1911 |
+
"grad_norm": 9.67764949798584,
|
1912 |
+
"learning_rate": 1.1691640378548897e-05,
|
1913 |
+
"loss": 0.7886,
|
1914 |
+
"step": 6675
|
1915 |
+
},
|
1916 |
+
{
|
1917 |
+
"epoch": 2.3775727466288146,
|
1918 |
+
"grad_norm": 12.79229736328125,
|
1919 |
+
"learning_rate": 1.15273396424816e-05,
|
1920 |
+
"loss": 0.8171,
|
1921 |
+
"step": 6700
|
1922 |
+
},
|
1923 |
+
{
|
1924 |
+
"epoch": 2.386444286728176,
|
1925 |
+
"grad_norm": 8.917281150817871,
|
1926 |
+
"learning_rate": 1.1363038906414302e-05,
|
1927 |
+
"loss": 0.7607,
|
1928 |
+
"step": 6725
|
1929 |
+
},
|
1930 |
+
{
|
1931 |
+
"epoch": 2.395315826827537,
|
1932 |
+
"grad_norm": 6.359137535095215,
|
1933 |
+
"learning_rate": 1.1198738170347003e-05,
|
1934 |
+
"loss": 0.7509,
|
1935 |
+
"step": 6750
|
1936 |
+
},
|
1937 |
+
{
|
1938 |
+
"epoch": 2.4041873669268985,
|
1939 |
+
"grad_norm": 5.579113960266113,
|
1940 |
+
"learning_rate": 1.1034437434279706e-05,
|
1941 |
+
"loss": 0.7344,
|
1942 |
+
"step": 6775
|
1943 |
+
},
|
1944 |
+
{
|
1945 |
+
"epoch": 2.41305890702626,
|
1946 |
+
"grad_norm": 5.791996002197266,
|
1947 |
+
"learning_rate": 1.0870136698212409e-05,
|
1948 |
+
"loss": 0.7222,
|
1949 |
+
"step": 6800
|
1950 |
+
},
|
1951 |
+
{
|
1952 |
+
"epoch": 2.421930447125621,
|
1953 |
+
"grad_norm": 4.481837272644043,
|
1954 |
+
"learning_rate": 1.070583596214511e-05,
|
1955 |
+
"loss": 0.6455,
|
1956 |
+
"step": 6825
|
1957 |
+
},
|
1958 |
+
{
|
1959 |
+
"epoch": 2.4308019872249824,
|
1960 |
+
"grad_norm": 5.7892069816589355,
|
1961 |
+
"learning_rate": 1.0541535226077813e-05,
|
1962 |
+
"loss": 0.6221,
|
1963 |
+
"step": 6850
|
1964 |
+
},
|
1965 |
+
{
|
1966 |
+
"epoch": 2.4396735273243433,
|
1967 |
+
"grad_norm": 4.64011287689209,
|
1968 |
+
"learning_rate": 1.0377234490010516e-05,
|
1969 |
+
"loss": 0.6901,
|
1970 |
+
"step": 6875
|
1971 |
+
},
|
1972 |
+
{
|
1973 |
+
"epoch": 2.4485450674237046,
|
1974 |
+
"grad_norm": 12.223133087158203,
|
1975 |
+
"learning_rate": 1.0212933753943219e-05,
|
1976 |
+
"loss": 0.7315,
|
1977 |
+
"step": 6900
|
1978 |
+
},
|
1979 |
+
{
|
1980 |
+
"epoch": 2.457416607523066,
|
1981 |
+
"grad_norm": 7.667706489562988,
|
1982 |
+
"learning_rate": 1.004863301787592e-05,
|
1983 |
+
"loss": 0.7421,
|
1984 |
+
"step": 6925
|
1985 |
+
},
|
1986 |
+
{
|
1987 |
+
"epoch": 2.466288147622427,
|
1988 |
+
"grad_norm": 6.26972770690918,
|
1989 |
+
"learning_rate": 9.884332281808623e-06,
|
1990 |
+
"loss": 0.8319,
|
1991 |
+
"step": 6950
|
1992 |
+
},
|
1993 |
+
{
|
1994 |
+
"epoch": 2.4751596877217885,
|
1995 |
+
"grad_norm": 4.876287937164307,
|
1996 |
+
"learning_rate": 9.720031545741325e-06,
|
1997 |
+
"loss": 0.7305,
|
1998 |
+
"step": 6975
|
1999 |
+
},
|
2000 |
+
{
|
2001 |
+
"epoch": 2.48403122782115,
|
2002 |
+
"grad_norm": 8.227882385253906,
|
2003 |
+
"learning_rate": 9.555730809674028e-06,
|
2004 |
+
"loss": 0.8635,
|
2005 |
+
"step": 7000
|
2006 |
+
},
|
2007 |
+
{
|
2008 |
+
"epoch": 2.492902767920511,
|
2009 |
+
"grad_norm": 4.739542007446289,
|
2010 |
+
"learning_rate": 9.39143007360673e-06,
|
2011 |
+
"loss": 0.7291,
|
2012 |
+
"step": 7025
|
2013 |
+
},
|
2014 |
+
{
|
2015 |
+
"epoch": 2.501774308019872,
|
2016 |
+
"grad_norm": 1.6183698177337646,
|
2017 |
+
"learning_rate": 9.227129337539432e-06,
|
2018 |
+
"loss": 0.7295,
|
2019 |
+
"step": 7050
|
2020 |
+
},
|
2021 |
+
{
|
2022 |
+
"epoch": 2.5106458481192337,
|
2023 |
+
"grad_norm": 8.615501403808594,
|
2024 |
+
"learning_rate": 9.062828601472135e-06,
|
2025 |
+
"loss": 0.7208,
|
2026 |
+
"step": 7075
|
2027 |
+
},
|
2028 |
+
{
|
2029 |
+
"epoch": 2.5195173882185946,
|
2030 |
+
"grad_norm": 6.233531951904297,
|
2031 |
+
"learning_rate": 8.898527865404838e-06,
|
2032 |
+
"loss": 0.7005,
|
2033 |
+
"step": 7100
|
2034 |
+
},
|
2035 |
+
{
|
2036 |
+
"epoch": 2.528388928317956,
|
2037 |
+
"grad_norm": 5.194847106933594,
|
2038 |
+
"learning_rate": 8.734227129337539e-06,
|
2039 |
+
"loss": 0.8115,
|
2040 |
+
"step": 7125
|
2041 |
+
},
|
2042 |
+
{
|
2043 |
+
"epoch": 2.5372604684173172,
|
2044 |
+
"grad_norm": 5.162277698516846,
|
2045 |
+
"learning_rate": 8.569926393270242e-06,
|
2046 |
+
"loss": 0.6818,
|
2047 |
+
"step": 7150
|
2048 |
+
},
|
2049 |
+
{
|
2050 |
+
"epoch": 2.5461320085166785,
|
2051 |
+
"grad_norm": 10.57759952545166,
|
2052 |
+
"learning_rate": 8.405625657202945e-06,
|
2053 |
+
"loss": 0.7705,
|
2054 |
+
"step": 7175
|
2055 |
+
},
|
2056 |
+
{
|
2057 |
+
"epoch": 2.55500354861604,
|
2058 |
+
"grad_norm": 6.097165584564209,
|
2059 |
+
"learning_rate": 8.241324921135648e-06,
|
2060 |
+
"loss": 0.7589,
|
2061 |
+
"step": 7200
|
2062 |
+
},
|
2063 |
+
{
|
2064 |
+
"epoch": 2.563875088715401,
|
2065 |
+
"grad_norm": 2.8841516971588135,
|
2066 |
+
"learning_rate": 8.077024185068349e-06,
|
2067 |
+
"loss": 0.7758,
|
2068 |
+
"step": 7225
|
2069 |
+
},
|
2070 |
+
{
|
2071 |
+
"epoch": 2.5727466288147625,
|
2072 |
+
"grad_norm": 8.131023406982422,
|
2073 |
+
"learning_rate": 7.912723449001051e-06,
|
2074 |
+
"loss": 0.7349,
|
2075 |
+
"step": 7250
|
2076 |
+
},
|
2077 |
+
{
|
2078 |
+
"epoch": 2.5816181689141233,
|
2079 |
+
"grad_norm": 9.21007251739502,
|
2080 |
+
"learning_rate": 7.748422712933754e-06,
|
2081 |
+
"loss": 0.7964,
|
2082 |
+
"step": 7275
|
2083 |
+
},
|
2084 |
+
{
|
2085 |
+
"epoch": 2.5904897090134846,
|
2086 |
+
"grad_norm": 4.194328784942627,
|
2087 |
+
"learning_rate": 7.584121976866457e-06,
|
2088 |
+
"loss": 0.8019,
|
2089 |
+
"step": 7300
|
2090 |
+
},
|
2091 |
+
{
|
2092 |
+
"epoch": 2.599361249112846,
|
2093 |
+
"grad_norm": 7.350373268127441,
|
2094 |
+
"learning_rate": 7.419821240799159e-06,
|
2095 |
+
"loss": 0.7725,
|
2096 |
+
"step": 7325
|
2097 |
+
},
|
2098 |
+
{
|
2099 |
+
"epoch": 2.6082327892122072,
|
2100 |
+
"grad_norm": 9.057943344116211,
|
2101 |
+
"learning_rate": 7.255520504731862e-06,
|
2102 |
+
"loss": 0.8212,
|
2103 |
+
"step": 7350
|
2104 |
+
},
|
2105 |
+
{
|
2106 |
+
"epoch": 2.6171043293115686,
|
2107 |
+
"grad_norm": 4.8207478523254395,
|
2108 |
+
"learning_rate": 7.091219768664564e-06,
|
2109 |
+
"loss": 0.7288,
|
2110 |
+
"step": 7375
|
2111 |
+
},
|
2112 |
+
{
|
2113 |
+
"epoch": 2.62597586941093,
|
2114 |
+
"grad_norm": 5.385066032409668,
|
2115 |
+
"learning_rate": 6.926919032597266e-06,
|
2116 |
+
"loss": 0.7013,
|
2117 |
+
"step": 7400
|
2118 |
+
},
|
2119 |
+
{
|
2120 |
+
"epoch": 2.634847409510291,
|
2121 |
+
"grad_norm": 7.983443737030029,
|
2122 |
+
"learning_rate": 6.762618296529969e-06,
|
2123 |
+
"loss": 0.6656,
|
2124 |
+
"step": 7425
|
2125 |
+
},
|
2126 |
+
{
|
2127 |
+
"epoch": 2.643718949609652,
|
2128 |
+
"grad_norm": 9.354117393493652,
|
2129 |
+
"learning_rate": 6.598317560462672e-06,
|
2130 |
+
"loss": 0.7363,
|
2131 |
+
"step": 7450
|
2132 |
+
},
|
2133 |
+
{
|
2134 |
+
"epoch": 2.6525904897090133,
|
2135 |
+
"grad_norm": 6.475661754608154,
|
2136 |
+
"learning_rate": 6.4340168243953736e-06,
|
2137 |
+
"loss": 0.7651,
|
2138 |
+
"step": 7475
|
2139 |
+
},
|
2140 |
+
{
|
2141 |
+
"epoch": 2.6614620298083747,
|
2142 |
+
"grad_norm": 5.2187676429748535,
|
2143 |
+
"learning_rate": 6.2697160883280756e-06,
|
2144 |
+
"loss": 0.7259,
|
2145 |
+
"step": 7500
|
2146 |
+
},
|
2147 |
+
{
|
2148 |
+
"epoch": 2.670333569907736,
|
2149 |
+
"grad_norm": 10.267646789550781,
|
2150 |
+
"learning_rate": 6.105415352260778e-06,
|
2151 |
+
"loss": 0.7818,
|
2152 |
+
"step": 7525
|
2153 |
+
},
|
2154 |
+
{
|
2155 |
+
"epoch": 2.6792051100070973,
|
2156 |
+
"grad_norm": 8.05725383758545,
|
2157 |
+
"learning_rate": 5.94111461619348e-06,
|
2158 |
+
"loss": 0.7006,
|
2159 |
+
"step": 7550
|
2160 |
+
},
|
2161 |
+
{
|
2162 |
+
"epoch": 2.6880766501064586,
|
2163 |
+
"grad_norm": 6.517486095428467,
|
2164 |
+
"learning_rate": 5.776813880126183e-06,
|
2165 |
+
"loss": 0.7342,
|
2166 |
+
"step": 7575
|
2167 |
+
},
|
2168 |
+
{
|
2169 |
+
"epoch": 2.69694819020582,
|
2170 |
+
"grad_norm": 5.03231954574585,
|
2171 |
+
"learning_rate": 5.612513144058885e-06,
|
2172 |
+
"loss": 0.7959,
|
2173 |
+
"step": 7600
|
2174 |
+
},
|
2175 |
+
{
|
2176 |
+
"epoch": 2.7058197303051807,
|
2177 |
+
"grad_norm": 3.084221124649048,
|
2178 |
+
"learning_rate": 5.448212407991588e-06,
|
2179 |
+
"loss": 0.7391,
|
2180 |
+
"step": 7625
|
2181 |
+
},
|
2182 |
+
{
|
2183 |
+
"epoch": 2.7146912704045425,
|
2184 |
+
"grad_norm": 6.011415004730225,
|
2185 |
+
"learning_rate": 5.28391167192429e-06,
|
2186 |
+
"loss": 0.7073,
|
2187 |
+
"step": 7650
|
2188 |
+
},
|
2189 |
+
{
|
2190 |
+
"epoch": 2.7235628105039034,
|
2191 |
+
"grad_norm": 1.8170585632324219,
|
2192 |
+
"learning_rate": 5.119610935856993e-06,
|
2193 |
+
"loss": 0.6981,
|
2194 |
+
"step": 7675
|
2195 |
+
},
|
2196 |
+
{
|
2197 |
+
"epoch": 2.7324343506032647,
|
2198 |
+
"grad_norm": 8.507579803466797,
|
2199 |
+
"learning_rate": 4.955310199789695e-06,
|
2200 |
+
"loss": 0.8989,
|
2201 |
+
"step": 7700
|
2202 |
+
},
|
2203 |
+
{
|
2204 |
+
"epoch": 2.741305890702626,
|
2205 |
+
"grad_norm": 4.660305976867676,
|
2206 |
+
"learning_rate": 4.791009463722398e-06,
|
2207 |
+
"loss": 0.7881,
|
2208 |
+
"step": 7725
|
2209 |
+
},
|
2210 |
+
{
|
2211 |
+
"epoch": 2.7501774308019873,
|
2212 |
+
"grad_norm": 5.1059088706970215,
|
2213 |
+
"learning_rate": 4.6267087276551e-06,
|
2214 |
+
"loss": 0.6829,
|
2215 |
+
"step": 7750
|
2216 |
+
},
|
2217 |
+
{
|
2218 |
+
"epoch": 2.7590489709013486,
|
2219 |
+
"grad_norm": 6.890865802764893,
|
2220 |
+
"learning_rate": 4.4624079915878024e-06,
|
2221 |
+
"loss": 0.7441,
|
2222 |
+
"step": 7775
|
2223 |
+
},
|
2224 |
+
{
|
2225 |
+
"epoch": 2.7679205110007095,
|
2226 |
+
"grad_norm": 6.044835090637207,
|
2227 |
+
"learning_rate": 4.298107255520505e-06,
|
2228 |
+
"loss": 0.7416,
|
2229 |
+
"step": 7800
|
2230 |
+
},
|
2231 |
+
{
|
2232 |
+
"epoch": 2.776792051100071,
|
2233 |
+
"grad_norm": 9.076371192932129,
|
2234 |
+
"learning_rate": 4.133806519453207e-06,
|
2235 |
+
"loss": 0.7572,
|
2236 |
+
"step": 7825
|
2237 |
+
},
|
2238 |
+
{
|
2239 |
+
"epoch": 2.785663591199432,
|
2240 |
+
"grad_norm": 8.244555473327637,
|
2241 |
+
"learning_rate": 3.96950578338591e-06,
|
2242 |
+
"loss": 0.7547,
|
2243 |
+
"step": 7850
|
2244 |
+
},
|
2245 |
+
{
|
2246 |
+
"epoch": 2.7945351312987934,
|
2247 |
+
"grad_norm": 10.965091705322266,
|
2248 |
+
"learning_rate": 3.805205047318612e-06,
|
2249 |
+
"loss": 0.7462,
|
2250 |
+
"step": 7875
|
2251 |
+
},
|
2252 |
+
{
|
2253 |
+
"epoch": 2.8034066713981547,
|
2254 |
+
"grad_norm": 10.940464973449707,
|
2255 |
+
"learning_rate": 3.640904311251315e-06,
|
2256 |
+
"loss": 0.8307,
|
2257 |
+
"step": 7900
|
2258 |
+
},
|
2259 |
+
{
|
2260 |
+
"epoch": 2.812278211497516,
|
2261 |
+
"grad_norm": 6.724726676940918,
|
2262 |
+
"learning_rate": 3.476603575184017e-06,
|
2263 |
+
"loss": 0.7771,
|
2264 |
+
"step": 7925
|
2265 |
+
},
|
2266 |
+
{
|
2267 |
+
"epoch": 2.8211497515968773,
|
2268 |
+
"grad_norm": 8.394052505493164,
|
2269 |
+
"learning_rate": 3.3123028391167197e-06,
|
2270 |
+
"loss": 0.7948,
|
2271 |
+
"step": 7950
|
2272 |
+
},
|
2273 |
+
{
|
2274 |
+
"epoch": 2.8300212916962386,
|
2275 |
+
"grad_norm": 3.6263391971588135,
|
2276 |
+
"learning_rate": 3.1480021030494217e-06,
|
2277 |
+
"loss": 0.6567,
|
2278 |
+
"step": 7975
|
2279 |
+
},
|
2280 |
+
{
|
2281 |
+
"epoch": 2.8388928317956,
|
2282 |
+
"grad_norm": 7.270437717437744,
|
2283 |
+
"learning_rate": 2.983701366982124e-06,
|
2284 |
+
"loss": 0.7087,
|
2285 |
+
"step": 8000
|
2286 |
+
},
|
2287 |
+
{
|
2288 |
+
"epoch": 2.847764371894961,
|
2289 |
+
"grad_norm": 6.618618965148926,
|
2290 |
+
"learning_rate": 2.819400630914827e-06,
|
2291 |
+
"loss": 0.6796,
|
2292 |
+
"step": 8025
|
2293 |
+
},
|
2294 |
+
{
|
2295 |
+
"epoch": 2.856635911994322,
|
2296 |
+
"grad_norm": 7.489841938018799,
|
2297 |
+
"learning_rate": 2.6550998948475293e-06,
|
2298 |
+
"loss": 0.8368,
|
2299 |
+
"step": 8050
|
2300 |
+
},
|
2301 |
+
{
|
2302 |
+
"epoch": 2.8655074520936834,
|
2303 |
+
"grad_norm": 3.919420003890991,
|
2304 |
+
"learning_rate": 2.4907991587802318e-06,
|
2305 |
+
"loss": 0.7596,
|
2306 |
+
"step": 8075
|
2307 |
+
},
|
2308 |
+
{
|
2309 |
+
"epoch": 2.8743789921930447,
|
2310 |
+
"grad_norm": 7.457404136657715,
|
2311 |
+
"learning_rate": 2.326498422712934e-06,
|
2312 |
+
"loss": 0.7399,
|
2313 |
+
"step": 8100
|
2314 |
+
},
|
2315 |
+
{
|
2316 |
+
"epoch": 2.883250532292406,
|
2317 |
+
"grad_norm": 11.167478561401367,
|
2318 |
+
"learning_rate": 2.1621976866456366e-06,
|
2319 |
+
"loss": 0.8489,
|
2320 |
+
"step": 8125
|
2321 |
+
},
|
2322 |
+
{
|
2323 |
+
"epoch": 2.8921220723917673,
|
2324 |
+
"grad_norm": 11.763769149780273,
|
2325 |
+
"learning_rate": 1.9978969505783385e-06,
|
2326 |
+
"loss": 0.6573,
|
2327 |
+
"step": 8150
|
2328 |
+
},
|
2329 |
+
{
|
2330 |
+
"epoch": 2.9009936124911286,
|
2331 |
+
"grad_norm": 5.394194602966309,
|
2332 |
+
"learning_rate": 1.8335962145110412e-06,
|
2333 |
+
"loss": 0.6636,
|
2334 |
+
"step": 8175
|
2335 |
+
},
|
2336 |
+
{
|
2337 |
+
"epoch": 2.9098651525904895,
|
2338 |
+
"grad_norm": 7.921031475067139,
|
2339 |
+
"learning_rate": 1.6692954784437436e-06,
|
2340 |
+
"loss": 0.7437,
|
2341 |
+
"step": 8200
|
2342 |
+
},
|
2343 |
+
{
|
2344 |
+
"epoch": 2.918736692689851,
|
2345 |
+
"grad_norm": 5.872561454772949,
|
2346 |
+
"learning_rate": 1.504994742376446e-06,
|
2347 |
+
"loss": 0.7926,
|
2348 |
+
"step": 8225
|
2349 |
+
},
|
2350 |
+
{
|
2351 |
+
"epoch": 2.927608232789212,
|
2352 |
+
"grad_norm": 4.337924480438232,
|
2353 |
+
"learning_rate": 1.3406940063091484e-06,
|
2354 |
+
"loss": 0.7415,
|
2355 |
+
"step": 8250
|
2356 |
+
},
|
2357 |
+
{
|
2358 |
+
"epoch": 2.9364797728885734,
|
2359 |
+
"grad_norm": 6.103896617889404,
|
2360 |
+
"learning_rate": 1.1763932702418508e-06,
|
2361 |
+
"loss": 0.7814,
|
2362 |
+
"step": 8275
|
2363 |
+
},
|
2364 |
+
{
|
2365 |
+
"epoch": 2.9453513129879347,
|
2366 |
+
"grad_norm": 3.75592041015625,
|
2367 |
+
"learning_rate": 1.0120925341745532e-06,
|
2368 |
+
"loss": 0.7166,
|
2369 |
+
"step": 8300
|
2370 |
+
},
|
2371 |
+
{
|
2372 |
+
"epoch": 2.954222853087296,
|
2373 |
+
"grad_norm": 4.261561870574951,
|
2374 |
+
"learning_rate": 8.477917981072555e-07,
|
2375 |
+
"loss": 0.735,
|
2376 |
+
"step": 8325
|
2377 |
+
},
|
2378 |
+
{
|
2379 |
+
"epoch": 2.9630943931866573,
|
2380 |
+
"grad_norm": 6.112985134124756,
|
2381 |
+
"learning_rate": 6.83491062039958e-07,
|
2382 |
+
"loss": 0.7205,
|
2383 |
+
"step": 8350
|
2384 |
+
},
|
2385 |
+
{
|
2386 |
+
"epoch": 2.971965933286018,
|
2387 |
+
"grad_norm": 4.848855018615723,
|
2388 |
+
"learning_rate": 5.191903259726603e-07,
|
2389 |
+
"loss": 0.7653,
|
2390 |
+
"step": 8375
|
2391 |
+
},
|
2392 |
+
{
|
2393 |
+
"epoch": 2.98083747338538,
|
2394 |
+
"grad_norm": 7.813061714172363,
|
2395 |
+
"learning_rate": 3.548895899053628e-07,
|
2396 |
+
"loss": 0.7253,
|
2397 |
+
"step": 8400
|
2398 |
+
},
|
2399 |
+
{
|
2400 |
+
"epoch": 2.989709013484741,
|
2401 |
+
"grad_norm": 6.210537433624268,
|
2402 |
+
"learning_rate": 1.905888538380652e-07,
|
2403 |
+
"loss": 0.8043,
|
2404 |
+
"step": 8425
|
2405 |
+
},
|
2406 |
+
{
|
2407 |
+
"epoch": 2.998580553584102,
|
2408 |
+
"grad_norm": 4.216333389282227,
|
2409 |
+
"learning_rate": 2.6288117770767614e-08,
|
2410 |
+
"loss": 0.7481,
|
2411 |
+
"step": 8450
|
2412 |
+
},
|
2413 |
+
{
|
2414 |
+
"epoch": 3.0,
|
2415 |
+
"eval_accuracy": 0.6885536823425022,
|
2416 |
+
"eval_f1_macro": 0.6934027713968594,
|
2417 |
+
"eval_f1_micro": 0.6885536823425022,
|
2418 |
+
"eval_f1_weighted": 0.6903326985699842,
|
2419 |
+
"eval_loss": 0.7668559551239014,
|
2420 |
+
"eval_precision_macro": 0.7104396368026238,
|
2421 |
+
"eval_precision_micro": 0.6885536823425022,
|
2422 |
+
"eval_precision_weighted": 0.705612321743312,
|
2423 |
+
"eval_recall_macro": 0.6898371166175705,
|
2424 |
+
"eval_recall_micro": 0.6885536823425022,
|
2425 |
+
"eval_recall_weighted": 0.6885536823425022,
|
2426 |
+
"eval_runtime": 1239.6725,
|
2427 |
+
"eval_samples_per_second": 4.546,
|
2428 |
+
"eval_steps_per_second": 0.285,
|
2429 |
+
"step": 8454
|
2430 |
+
}
|
2431 |
+
],
|
2432 |
+
"logging_steps": 25,
|
2433 |
+
"max_steps": 8454,
|
2434 |
+
"num_input_tokens_seen": 0,
|
2435 |
+
"num_train_epochs": 3,
|
2436 |
+
"save_steps": 500,
|
2437 |
+
"stateful_callbacks": {
|
2438 |
+
"EarlyStoppingCallback": {
|
2439 |
+
"args": {
|
2440 |
+
"early_stopping_patience": 5,
|
2441 |
+
"early_stopping_threshold": 0.01
|
2442 |
+
},
|
2443 |
+
"attributes": {
|
2444 |
+
"early_stopping_patience_counter": 0
|
2445 |
+
}
|
2446 |
+
},
|
2447 |
+
"TrainerControl": {
|
2448 |
+
"args": {
|
2449 |
+
"should_epoch_stop": false,
|
2450 |
+
"should_evaluate": false,
|
2451 |
+
"should_log": false,
|
2452 |
+
"should_save": true,
|
2453 |
+
"should_training_stop": true
|
2454 |
+
},
|
2455 |
+
"attributes": {}
|
2456 |
+
}
|
2457 |
+
},
|
2458 |
+
"total_flos": 4447420182533376.0,
|
2459 |
+
"train_batch_size": 8,
|
2460 |
+
"trial_name": null,
|
2461 |
+
"trial_params": null
|
2462 |
+
}
|
checkpoint-8454/training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:53979d3a7c4167b7fc8acf3d54bf0328b9ab43910addc7c9b0949c14f05c4483
|
3 |
+
size 5240
|
config.json
ADDED
@@ -0,0 +1,48 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "neuralmind/bert-base-portuguese-cased",
|
3 |
+
"_num_labels": 5,
|
4 |
+
"architectures": [
|
5 |
+
"BertForSequenceClassification"
|
6 |
+
],
|
7 |
+
"attention_probs_dropout_prob": 0.1,
|
8 |
+
"classifier_dropout": null,
|
9 |
+
"directionality": "bidi",
|
10 |
+
"hidden_act": "gelu",
|
11 |
+
"hidden_dropout_prob": 0.1,
|
12 |
+
"hidden_size": 768,
|
13 |
+
"id2label": {
|
14 |
+
"0": "1 - INTIMA\u00c7\u00c3O INICIAL",
|
15 |
+
"1": "2 - INTIMA\u00c7\u00c3O INSTRU\u00c7\u00c3O",
|
16 |
+
"2": "3 - INTIMA\u00c7\u00c3O RECURSAL",
|
17 |
+
"3": "4 - INTIMA\u00c7\u00c3O CUMPRIMENTO DE SENTEN\u00c7A",
|
18 |
+
"4": "5 - INTIMA\u00c7\u00c3O TR\u00c2NSITO"
|
19 |
+
},
|
20 |
+
"initializer_range": 0.02,
|
21 |
+
"intermediate_size": 3072,
|
22 |
+
"label2id": {
|
23 |
+
"1 - INTIMA\u00c7\u00c3O INICIAL": 0,
|
24 |
+
"2 - INTIMA\u00c7\u00c3O INSTRU\u00c7\u00c3O": 1,
|
25 |
+
"3 - INTIMA\u00c7\u00c3O RECURSAL": 2,
|
26 |
+
"4 - INTIMA\u00c7\u00c3O CUMPRIMENTO DE SENTEN\u00c7A": 3,
|
27 |
+
"5 - INTIMA\u00c7\u00c3O TR\u00c2NSITO": 4
|
28 |
+
},
|
29 |
+
"layer_norm_eps": 1e-12,
|
30 |
+
"max_position_embeddings": 512,
|
31 |
+
"model_type": "bert",
|
32 |
+
"num_attention_heads": 12,
|
33 |
+
"num_hidden_layers": 12,
|
34 |
+
"output_past": true,
|
35 |
+
"pad_token_id": 0,
|
36 |
+
"pooler_fc_size": 768,
|
37 |
+
"pooler_num_attention_heads": 12,
|
38 |
+
"pooler_num_fc_layers": 3,
|
39 |
+
"pooler_size_per_head": 128,
|
40 |
+
"pooler_type": "first_token_transform",
|
41 |
+
"position_embedding_type": "absolute",
|
42 |
+
"problem_type": "single_label_classification",
|
43 |
+
"torch_dtype": "float32",
|
44 |
+
"transformers_version": "4.45.0",
|
45 |
+
"type_vocab_size": 2,
|
46 |
+
"use_cache": true,
|
47 |
+
"vocab_size": 29794
|
48 |
+
}
|
model.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:b7b5aea858f25e24827711cfbc02c35b160928b6c19e405df1c24d90f5be4a7d
|
3 |
+
size 435731452
|
runs/Oct30_19-52-50_r-ulisesbravo-treino-teste-boqirknt-9f37e-oreva/events.out.tfevents.1730317972.r-ulisesbravo-treino-teste-boqirknt-9f37e-oreva.112.0
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
-
size
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:d7d32a5bd25a1376d5e195451aebc68b8991c1afd7eb19cb027903b565e887c0
|
3 |
+
size 79890
|
runs/Oct30_19-52-50_r-ulisesbravo-treino-teste-boqirknt-9f37e-oreva/events.out.tfevents.1730377445.r-ulisesbravo-treino-teste-boqirknt-9f37e-oreva.112.1
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:e4db22b0bcb567a589fb70930710cc3490d846471da2098519c2d172761ec4aa
|
3 |
+
size 921
|
special_tokens_map.json
ADDED
@@ -0,0 +1,7 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"cls_token": "[CLS]",
|
3 |
+
"mask_token": "[MASK]",
|
4 |
+
"pad_token": "[PAD]",
|
5 |
+
"sep_token": "[SEP]",
|
6 |
+
"unk_token": "[UNK]"
|
7 |
+
}
|
tokenizer.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|
tokenizer_config.json
ADDED
@@ -0,0 +1,57 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"added_tokens_decoder": {
|
3 |
+
"0": {
|
4 |
+
"content": "[PAD]",
|
5 |
+
"lstrip": false,
|
6 |
+
"normalized": false,
|
7 |
+
"rstrip": false,
|
8 |
+
"single_word": false,
|
9 |
+
"special": true
|
10 |
+
},
|
11 |
+
"100": {
|
12 |
+
"content": "[UNK]",
|
13 |
+
"lstrip": false,
|
14 |
+
"normalized": false,
|
15 |
+
"rstrip": false,
|
16 |
+
"single_word": false,
|
17 |
+
"special": true
|
18 |
+
},
|
19 |
+
"101": {
|
20 |
+
"content": "[CLS]",
|
21 |
+
"lstrip": false,
|
22 |
+
"normalized": false,
|
23 |
+
"rstrip": false,
|
24 |
+
"single_word": false,
|
25 |
+
"special": true
|
26 |
+
},
|
27 |
+
"102": {
|
28 |
+
"content": "[SEP]",
|
29 |
+
"lstrip": false,
|
30 |
+
"normalized": false,
|
31 |
+
"rstrip": false,
|
32 |
+
"single_word": false,
|
33 |
+
"special": true
|
34 |
+
},
|
35 |
+
"103": {
|
36 |
+
"content": "[MASK]",
|
37 |
+
"lstrip": false,
|
38 |
+
"normalized": false,
|
39 |
+
"rstrip": false,
|
40 |
+
"single_word": false,
|
41 |
+
"special": true
|
42 |
+
}
|
43 |
+
},
|
44 |
+
"clean_up_tokenization_spaces": true,
|
45 |
+
"cls_token": "[CLS]",
|
46 |
+
"do_basic_tokenize": true,
|
47 |
+
"do_lower_case": false,
|
48 |
+
"mask_token": "[MASK]",
|
49 |
+
"model_max_length": 1000000000000000019884624838656,
|
50 |
+
"never_split": null,
|
51 |
+
"pad_token": "[PAD]",
|
52 |
+
"sep_token": "[SEP]",
|
53 |
+
"strip_accents": null,
|
54 |
+
"tokenize_chinese_chars": true,
|
55 |
+
"tokenizer_class": "BertTokenizer",
|
56 |
+
"unk_token": "[UNK]"
|
57 |
+
}
|
training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:53979d3a7c4167b7fc8acf3d54bf0328b9ab43910addc7c9b0949c14f05c4483
|
3 |
+
size 5240
|
training_params.json
ADDED
@@ -0,0 +1,30 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"data_path": "autotrain-k9ag8-b7nm0/autotrain-data",
|
3 |
+
"model": "neuralmind/bert-base-portuguese-cased",
|
4 |
+
"lr": 5e-05,
|
5 |
+
"epochs": 3,
|
6 |
+
"max_seq_length": 128,
|
7 |
+
"batch_size": 8,
|
8 |
+
"warmup_ratio": 0.1,
|
9 |
+
"gradient_accumulation": 1,
|
10 |
+
"optimizer": "adamw_torch",
|
11 |
+
"scheduler": "linear",
|
12 |
+
"weight_decay": 0.0,
|
13 |
+
"max_grad_norm": 1.0,
|
14 |
+
"seed": 42,
|
15 |
+
"train_split": "train",
|
16 |
+
"valid_split": "validation",
|
17 |
+
"text_column": "autotrain_text",
|
18 |
+
"target_column": "autotrain_label",
|
19 |
+
"logging_steps": -1,
|
20 |
+
"project_name": "autotrain-k9ag8-b7nm0",
|
21 |
+
"auto_find_batch_size": false,
|
22 |
+
"mixed_precision": "fp16",
|
23 |
+
"save_total_limit": 1,
|
24 |
+
"push_to_hub": true,
|
25 |
+
"eval_strategy": "epoch",
|
26 |
+
"username": "ulisesbravo",
|
27 |
+
"log": "tensorboard",
|
28 |
+
"early_stopping_patience": 5,
|
29 |
+
"early_stopping_threshold": 0.01
|
30 |
+
}
|
vocab.txt
ADDED
The diff for this file is too large to render.
See raw diff
|
|