Delete qqp
Browse files- qqp/README.md +0 -79
- qqp/all_results.json +0 -17
- qqp/config.json +0 -32
- qqp/eval_results.json +0 -11
- qqp/model.safetensors +0 -3
- qqp/runs/May14_17-08-38_cs-Precision-7960-Tower/events.out.tfevents.1747256924.cs-Precision-7960-Tower.131796.0 +0 -3
- qqp/runs/May14_17-08-38_cs-Precision-7960-Tower/events.out.tfevents.1747277032.cs-Precision-7960-Tower.131796.1 +0 -3
- qqp/special_tokens_map.json +0 -7
- qqp/tokenizer.json +0 -0
- qqp/tokenizer_config.json +0 -56
- qqp/train_results.json +0 -9
- qqp/trainer_state.json +0 -1631
- qqp/training_args.bin +0 -3
- qqp/vocab.txt +0 -0
qqp/README.md
DELETED
@@ -1,79 +0,0 @@
|
|
1 |
-
---
|
2 |
-
library_name: transformers
|
3 |
-
language:
|
4 |
-
- en
|
5 |
-
license: apache-2.0
|
6 |
-
base_model: google-bert/bert-base-cased
|
7 |
-
tags:
|
8 |
-
- generated_from_trainer
|
9 |
-
datasets:
|
10 |
-
- glue
|
11 |
-
metrics:
|
12 |
-
- accuracy
|
13 |
-
- f1
|
14 |
-
model-index:
|
15 |
-
- name: qqp
|
16 |
-
results:
|
17 |
-
- task:
|
18 |
-
name: Text Classification
|
19 |
-
type: text-classification
|
20 |
-
dataset:
|
21 |
-
name: GLUE QQP
|
22 |
-
type: glue
|
23 |
-
args: qqp
|
24 |
-
metrics:
|
25 |
-
- name: Accuracy
|
26 |
-
type: accuracy
|
27 |
-
value: 0.9088053425674004
|
28 |
-
- name: F1
|
29 |
-
type: f1
|
30 |
-
value: 0.8766435812506274
|
31 |
-
---
|
32 |
-
|
33 |
-
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
34 |
-
should probably proofread and complete it, then remove this comment. -->
|
35 |
-
|
36 |
-
# qqp
|
37 |
-
|
38 |
-
This model is a fine-tuned version of [google-bert/bert-base-cased](https://huggingface.co/google-bert/bert-base-cased) on the GLUE QQP dataset.
|
39 |
-
It achieves the following results on the evaluation set:
|
40 |
-
- Loss: 0.5929
|
41 |
-
- Accuracy: 0.9088
|
42 |
-
- F1: 0.8766
|
43 |
-
- Combined Score: 0.8927
|
44 |
-
|
45 |
-
## Model description
|
46 |
-
|
47 |
-
More information needed
|
48 |
-
|
49 |
-
## Intended uses & limitations
|
50 |
-
|
51 |
-
More information needed
|
52 |
-
|
53 |
-
## Training and evaluation data
|
54 |
-
|
55 |
-
More information needed
|
56 |
-
|
57 |
-
## Training procedure
|
58 |
-
|
59 |
-
### Training hyperparameters
|
60 |
-
|
61 |
-
The following hyperparameters were used during training:
|
62 |
-
- learning_rate: 1e-05
|
63 |
-
- train_batch_size: 32
|
64 |
-
- eval_batch_size: 8
|
65 |
-
- seed: 42
|
66 |
-
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
|
67 |
-
- lr_scheduler_type: linear
|
68 |
-
- num_epochs: 10.0
|
69 |
-
|
70 |
-
### Training results
|
71 |
-
|
72 |
-
|
73 |
-
|
74 |
-
### Framework versions
|
75 |
-
|
76 |
-
- Transformers 4.49.0
|
77 |
-
- Pytorch 2.6.0+cu118
|
78 |
-
- Datasets 3.3.1
|
79 |
-
- Tokenizers 0.21.0
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
qqp/all_results.json
DELETED
@@ -1,17 +0,0 @@
|
|
1 |
-
{
|
2 |
-
"epoch": 10.0,
|
3 |
-
"eval_accuracy": 0.9088053425674004,
|
4 |
-
"eval_combined_score": 0.8927244619090139,
|
5 |
-
"eval_f1": 0.8766435812506274,
|
6 |
-
"eval_loss": 0.5928972363471985,
|
7 |
-
"eval_runtime": 78.1295,
|
8 |
-
"eval_samples": 40430,
|
9 |
-
"eval_samples_per_second": 517.474,
|
10 |
-
"eval_steps_per_second": 64.687,
|
11 |
-
"total_flos": 2.4428070234989568e+17,
|
12 |
-
"train_loss": 0.1514742186763295,
|
13 |
-
"train_runtime": 20029.6511,
|
14 |
-
"train_samples": 363846,
|
15 |
-
"train_samples_per_second": 181.654,
|
16 |
-
"train_steps_per_second": 5.677
|
17 |
-
}
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
qqp/config.json
DELETED
@@ -1,32 +0,0 @@
|
|
1 |
-
{
|
2 |
-
"_name_or_path": "google-bert/bert-base-cased",
|
3 |
-
"architectures": [
|
4 |
-
"BertForSequenceClassification"
|
5 |
-
],
|
6 |
-
"attention_probs_dropout_prob": 0.1,
|
7 |
-
"classifier_dropout": null,
|
8 |
-
"finetuning_task": "qqp",
|
9 |
-
"gradient_checkpointing": false,
|
10 |
-
"hidden_act": "gelu",
|
11 |
-
"hidden_dropout_prob": 0.1,
|
12 |
-
"hidden_size": 768,
|
13 |
-
"initializer_range": 0.02,
|
14 |
-
"intermediate_size": 3072,
|
15 |
-
"label2id": {
|
16 |
-
"duplicate": 1,
|
17 |
-
"not_duplicate": 0
|
18 |
-
},
|
19 |
-
"layer_norm_eps": 1e-12,
|
20 |
-
"max_position_embeddings": 512,
|
21 |
-
"model_type": "bert",
|
22 |
-
"num_attention_heads": 12,
|
23 |
-
"num_hidden_layers": 12,
|
24 |
-
"pad_token_id": 0,
|
25 |
-
"position_embedding_type": "absolute",
|
26 |
-
"problem_type": "single_label_classification",
|
27 |
-
"torch_dtype": "float32",
|
28 |
-
"transformers_version": "4.49.0",
|
29 |
-
"type_vocab_size": 2,
|
30 |
-
"use_cache": true,
|
31 |
-
"vocab_size": 28996
|
32 |
-
}
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
qqp/eval_results.json
DELETED
@@ -1,11 +0,0 @@
|
|
1 |
-
{
|
2 |
-
"epoch": 10.0,
|
3 |
-
"eval_accuracy": 0.9088053425674004,
|
4 |
-
"eval_combined_score": 0.8927244619090139,
|
5 |
-
"eval_f1": 0.8766435812506274,
|
6 |
-
"eval_loss": 0.5928972363471985,
|
7 |
-
"eval_runtime": 78.1295,
|
8 |
-
"eval_samples": 40430,
|
9 |
-
"eval_samples_per_second": 517.474,
|
10 |
-
"eval_steps_per_second": 64.687
|
11 |
-
}
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
qqp/model.safetensors
DELETED
@@ -1,3 +0,0 @@
|
|
1 |
-
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:557400d81363c1bd136493dbce5e06be104ed016bc01fb0f0cdd8a04f198562c
|
3 |
-
size 440358464
|
|
|
|
|
|
|
|
qqp/runs/May14_17-08-38_cs-Precision-7960-Tower/events.out.tfevents.1747256924.cs-Precision-7960-Tower.131796.0
DELETED
@@ -1,3 +0,0 @@
|
|
1 |
-
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:eb497e14eca1ed4c6b40bcca838fd4ba2675b74b08dbcbe7ec9db485bfeea81e
|
3 |
-
size 54169
|
|
|
|
|
|
|
|
qqp/runs/May14_17-08-38_cs-Precision-7960-Tower/events.out.tfevents.1747277032.cs-Precision-7960-Tower.131796.1
DELETED
@@ -1,3 +0,0 @@
|
|
1 |
-
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:b9dbec5238d0673df0a8a084e053d3fa61605bd3ef9f7ca7e348ed28db2805f4
|
3 |
-
size 523
|
|
|
|
|
|
|
|
qqp/special_tokens_map.json
DELETED
@@ -1,7 +0,0 @@
|
|
1 |
-
{
|
2 |
-
"cls_token": "[CLS]",
|
3 |
-
"mask_token": "[MASK]",
|
4 |
-
"pad_token": "[PAD]",
|
5 |
-
"sep_token": "[SEP]",
|
6 |
-
"unk_token": "[UNK]"
|
7 |
-
}
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
qqp/tokenizer.json
DELETED
The diff for this file is too large to render.
See raw diff
|
|
qqp/tokenizer_config.json
DELETED
@@ -1,56 +0,0 @@
|
|
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": false,
|
45 |
-
"cls_token": "[CLS]",
|
46 |
-
"do_lower_case": false,
|
47 |
-
"extra_special_tokens": {},
|
48 |
-
"mask_token": "[MASK]",
|
49 |
-
"model_max_length": 512,
|
50 |
-
"pad_token": "[PAD]",
|
51 |
-
"sep_token": "[SEP]",
|
52 |
-
"strip_accents": null,
|
53 |
-
"tokenize_chinese_chars": true,
|
54 |
-
"tokenizer_class": "BertTokenizer",
|
55 |
-
"unk_token": "[UNK]"
|
56 |
-
}
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
qqp/train_results.json
DELETED
@@ -1,9 +0,0 @@
|
|
1 |
-
{
|
2 |
-
"epoch": 10.0,
|
3 |
-
"total_flos": 2.4428070234989568e+17,
|
4 |
-
"train_loss": 0.1514742186763295,
|
5 |
-
"train_runtime": 20029.6511,
|
6 |
-
"train_samples": 363846,
|
7 |
-
"train_samples_per_second": 181.654,
|
8 |
-
"train_steps_per_second": 5.677
|
9 |
-
}
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
qqp/trainer_state.json
DELETED
@@ -1,1631 +0,0 @@
|
|
1 |
-
{
|
2 |
-
"best_metric": null,
|
3 |
-
"best_model_checkpoint": null,
|
4 |
-
"epoch": 10.0,
|
5 |
-
"eval_steps": 500,
|
6 |
-
"global_step": 113710,
|
7 |
-
"is_hyper_param_search": false,
|
8 |
-
"is_local_process_zero": true,
|
9 |
-
"is_world_process_zero": true,
|
10 |
-
"log_history": [
|
11 |
-
{
|
12 |
-
"epoch": 0.04397150646381145,
|
13 |
-
"grad_norm": 7.127589225769043,
|
14 |
-
"learning_rate": 9.956028493536189e-06,
|
15 |
-
"loss": 0.6405,
|
16 |
-
"step": 500
|
17 |
-
},
|
18 |
-
{
|
19 |
-
"epoch": 0.0879430129276229,
|
20 |
-
"grad_norm": 10.408858299255371,
|
21 |
-
"learning_rate": 9.912056987072378e-06,
|
22 |
-
"loss": 0.4966,
|
23 |
-
"step": 1000
|
24 |
-
},
|
25 |
-
{
|
26 |
-
"epoch": 0.13191451939143434,
|
27 |
-
"grad_norm": 8.54762077331543,
|
28 |
-
"learning_rate": 9.868085480608566e-06,
|
29 |
-
"loss": 0.4625,
|
30 |
-
"step": 1500
|
31 |
-
},
|
32 |
-
{
|
33 |
-
"epoch": 0.1758860258552458,
|
34 |
-
"grad_norm": 8.460881233215332,
|
35 |
-
"learning_rate": 9.824113974144756e-06,
|
36 |
-
"loss": 0.4435,
|
37 |
-
"step": 2000
|
38 |
-
},
|
39 |
-
{
|
40 |
-
"epoch": 0.21985753231905725,
|
41 |
-
"grad_norm": 6.150853633880615,
|
42 |
-
"learning_rate": 9.780142467680944e-06,
|
43 |
-
"loss": 0.4288,
|
44 |
-
"step": 2500
|
45 |
-
},
|
46 |
-
{
|
47 |
-
"epoch": 0.2638290387828687,
|
48 |
-
"grad_norm": 7.34383487701416,
|
49 |
-
"learning_rate": 9.736170961217132e-06,
|
50 |
-
"loss": 0.4045,
|
51 |
-
"step": 3000
|
52 |
-
},
|
53 |
-
{
|
54 |
-
"epoch": 0.30780054524668016,
|
55 |
-
"grad_norm": 10.842817306518555,
|
56 |
-
"learning_rate": 9.69219945475332e-06,
|
57 |
-
"loss": 0.4014,
|
58 |
-
"step": 3500
|
59 |
-
},
|
60 |
-
{
|
61 |
-
"epoch": 0.3517720517104916,
|
62 |
-
"grad_norm": 11.085785865783691,
|
63 |
-
"learning_rate": 9.64822794828951e-06,
|
64 |
-
"loss": 0.4087,
|
65 |
-
"step": 4000
|
66 |
-
},
|
67 |
-
{
|
68 |
-
"epoch": 0.39574355817430307,
|
69 |
-
"grad_norm": 10.106760025024414,
|
70 |
-
"learning_rate": 9.604256441825697e-06,
|
71 |
-
"loss": 0.391,
|
72 |
-
"step": 4500
|
73 |
-
},
|
74 |
-
{
|
75 |
-
"epoch": 0.4397150646381145,
|
76 |
-
"grad_norm": 12.384110450744629,
|
77 |
-
"learning_rate": 9.560284935361887e-06,
|
78 |
-
"loss": 0.3846,
|
79 |
-
"step": 5000
|
80 |
-
},
|
81 |
-
{
|
82 |
-
"epoch": 0.483686571101926,
|
83 |
-
"grad_norm": 6.796555519104004,
|
84 |
-
"learning_rate": 9.516313428898075e-06,
|
85 |
-
"loss": 0.3803,
|
86 |
-
"step": 5500
|
87 |
-
},
|
88 |
-
{
|
89 |
-
"epoch": 0.5276580775657373,
|
90 |
-
"grad_norm": 10.099310874938965,
|
91 |
-
"learning_rate": 9.472341922434265e-06,
|
92 |
-
"loss": 0.3739,
|
93 |
-
"step": 6000
|
94 |
-
},
|
95 |
-
{
|
96 |
-
"epoch": 0.5716295840295489,
|
97 |
-
"grad_norm": 8.258896827697754,
|
98 |
-
"learning_rate": 9.428370415970451e-06,
|
99 |
-
"loss": 0.3694,
|
100 |
-
"step": 6500
|
101 |
-
},
|
102 |
-
{
|
103 |
-
"epoch": 0.6156010904933603,
|
104 |
-
"grad_norm": 6.4571356773376465,
|
105 |
-
"learning_rate": 9.38439890950664e-06,
|
106 |
-
"loss": 0.3582,
|
107 |
-
"step": 7000
|
108 |
-
},
|
109 |
-
{
|
110 |
-
"epoch": 0.6595725969571717,
|
111 |
-
"grad_norm": 10.41157341003418,
|
112 |
-
"learning_rate": 9.340427403042828e-06,
|
113 |
-
"loss": 0.3611,
|
114 |
-
"step": 7500
|
115 |
-
},
|
116 |
-
{
|
117 |
-
"epoch": 0.7035441034209832,
|
118 |
-
"grad_norm": 8.555697441101074,
|
119 |
-
"learning_rate": 9.296455896579018e-06,
|
120 |
-
"loss": 0.3491,
|
121 |
-
"step": 8000
|
122 |
-
},
|
123 |
-
{
|
124 |
-
"epoch": 0.7475156098847947,
|
125 |
-
"grad_norm": 10.460009574890137,
|
126 |
-
"learning_rate": 9.252484390115206e-06,
|
127 |
-
"loss": 0.3507,
|
128 |
-
"step": 8500
|
129 |
-
},
|
130 |
-
{
|
131 |
-
"epoch": 0.7914871163486061,
|
132 |
-
"grad_norm": 9.326970100402832,
|
133 |
-
"learning_rate": 9.208512883651394e-06,
|
134 |
-
"loss": 0.3465,
|
135 |
-
"step": 9000
|
136 |
-
},
|
137 |
-
{
|
138 |
-
"epoch": 0.8354586228124176,
|
139 |
-
"grad_norm": 12.12388801574707,
|
140 |
-
"learning_rate": 9.164541377187584e-06,
|
141 |
-
"loss": 0.3419,
|
142 |
-
"step": 9500
|
143 |
-
},
|
144 |
-
{
|
145 |
-
"epoch": 0.879430129276229,
|
146 |
-
"grad_norm": 9.742505073547363,
|
147 |
-
"learning_rate": 9.120569870723772e-06,
|
148 |
-
"loss": 0.3492,
|
149 |
-
"step": 10000
|
150 |
-
},
|
151 |
-
{
|
152 |
-
"epoch": 0.9234016357400404,
|
153 |
-
"grad_norm": 8.42115306854248,
|
154 |
-
"learning_rate": 9.07659836425996e-06,
|
155 |
-
"loss": 0.3405,
|
156 |
-
"step": 10500
|
157 |
-
},
|
158 |
-
{
|
159 |
-
"epoch": 0.967373142203852,
|
160 |
-
"grad_norm": 11.557007789611816,
|
161 |
-
"learning_rate": 9.03262685779615e-06,
|
162 |
-
"loss": 0.3353,
|
163 |
-
"step": 11000
|
164 |
-
},
|
165 |
-
{
|
166 |
-
"epoch": 1.0113446486676634,
|
167 |
-
"grad_norm": 6.1636786460876465,
|
168 |
-
"learning_rate": 8.988655351332337e-06,
|
169 |
-
"loss": 0.3218,
|
170 |
-
"step": 11500
|
171 |
-
},
|
172 |
-
{
|
173 |
-
"epoch": 1.0553161551314747,
|
174 |
-
"grad_norm": 8.901851654052734,
|
175 |
-
"learning_rate": 8.944683844868525e-06,
|
176 |
-
"loss": 0.2812,
|
177 |
-
"step": 12000
|
178 |
-
},
|
179 |
-
{
|
180 |
-
"epoch": 1.0992876615952862,
|
181 |
-
"grad_norm": 8.753206253051758,
|
182 |
-
"learning_rate": 8.900712338404715e-06,
|
183 |
-
"loss": 0.2744,
|
184 |
-
"step": 12500
|
185 |
-
},
|
186 |
-
{
|
187 |
-
"epoch": 1.1432591680590978,
|
188 |
-
"grad_norm": 19.687353134155273,
|
189 |
-
"learning_rate": 8.856740831940903e-06,
|
190 |
-
"loss": 0.2716,
|
191 |
-
"step": 13000
|
192 |
-
},
|
193 |
-
{
|
194 |
-
"epoch": 1.187230674522909,
|
195 |
-
"grad_norm": 8.538763999938965,
|
196 |
-
"learning_rate": 8.812769325477092e-06,
|
197 |
-
"loss": 0.2731,
|
198 |
-
"step": 13500
|
199 |
-
},
|
200 |
-
{
|
201 |
-
"epoch": 1.2312021809867206,
|
202 |
-
"grad_norm": 14.86081314086914,
|
203 |
-
"learning_rate": 8.76879781901328e-06,
|
204 |
-
"loss": 0.2686,
|
205 |
-
"step": 14000
|
206 |
-
},
|
207 |
-
{
|
208 |
-
"epoch": 1.2751736874505322,
|
209 |
-
"grad_norm": 8.427505493164062,
|
210 |
-
"learning_rate": 8.72482631254947e-06,
|
211 |
-
"loss": 0.2694,
|
212 |
-
"step": 14500
|
213 |
-
},
|
214 |
-
{
|
215 |
-
"epoch": 1.3191451939143435,
|
216 |
-
"grad_norm": 11.6419095993042,
|
217 |
-
"learning_rate": 8.680854806085656e-06,
|
218 |
-
"loss": 0.2666,
|
219 |
-
"step": 15000
|
220 |
-
},
|
221 |
-
{
|
222 |
-
"epoch": 1.363116700378155,
|
223 |
-
"grad_norm": 11.019262313842773,
|
224 |
-
"learning_rate": 8.636883299621846e-06,
|
225 |
-
"loss": 0.2738,
|
226 |
-
"step": 15500
|
227 |
-
},
|
228 |
-
{
|
229 |
-
"epoch": 1.4070882068419663,
|
230 |
-
"grad_norm": 12.447158813476562,
|
231 |
-
"learning_rate": 8.592911793158034e-06,
|
232 |
-
"loss": 0.2712,
|
233 |
-
"step": 16000
|
234 |
-
},
|
235 |
-
{
|
236 |
-
"epoch": 1.4510597133057779,
|
237 |
-
"grad_norm": 13.097723007202148,
|
238 |
-
"learning_rate": 8.548940286694223e-06,
|
239 |
-
"loss": 0.2635,
|
240 |
-
"step": 16500
|
241 |
-
},
|
242 |
-
{
|
243 |
-
"epoch": 1.4950312197695892,
|
244 |
-
"grad_norm": 15.15329360961914,
|
245 |
-
"learning_rate": 8.504968780230411e-06,
|
246 |
-
"loss": 0.2662,
|
247 |
-
"step": 17000
|
248 |
-
},
|
249 |
-
{
|
250 |
-
"epoch": 1.5390027262334007,
|
251 |
-
"grad_norm": 6.069318771362305,
|
252 |
-
"learning_rate": 8.460997273766601e-06,
|
253 |
-
"loss": 0.2604,
|
254 |
-
"step": 17500
|
255 |
-
},
|
256 |
-
{
|
257 |
-
"epoch": 1.5829742326972123,
|
258 |
-
"grad_norm": 13.966374397277832,
|
259 |
-
"learning_rate": 8.417025767302789e-06,
|
260 |
-
"loss": 0.2657,
|
261 |
-
"step": 18000
|
262 |
-
},
|
263 |
-
{
|
264 |
-
"epoch": 1.6269457391610236,
|
265 |
-
"grad_norm": 21.772634506225586,
|
266 |
-
"learning_rate": 8.373054260838977e-06,
|
267 |
-
"loss": 0.262,
|
268 |
-
"step": 18500
|
269 |
-
},
|
270 |
-
{
|
271 |
-
"epoch": 1.6709172456248351,
|
272 |
-
"grad_norm": 11.764993667602539,
|
273 |
-
"learning_rate": 8.329082754375165e-06,
|
274 |
-
"loss": 0.2721,
|
275 |
-
"step": 19000
|
276 |
-
},
|
277 |
-
{
|
278 |
-
"epoch": 1.7148887520886467,
|
279 |
-
"grad_norm": 11.220842361450195,
|
280 |
-
"learning_rate": 8.285111247911354e-06,
|
281 |
-
"loss": 0.2611,
|
282 |
-
"step": 19500
|
283 |
-
},
|
284 |
-
{
|
285 |
-
"epoch": 1.758860258552458,
|
286 |
-
"grad_norm": 12.129228591918945,
|
287 |
-
"learning_rate": 8.241139741447542e-06,
|
288 |
-
"loss": 0.2684,
|
289 |
-
"step": 20000
|
290 |
-
},
|
291 |
-
{
|
292 |
-
"epoch": 1.8028317650162693,
|
293 |
-
"grad_norm": 13.62337875366211,
|
294 |
-
"learning_rate": 8.19716823498373e-06,
|
295 |
-
"loss": 0.2593,
|
296 |
-
"step": 20500
|
297 |
-
},
|
298 |
-
{
|
299 |
-
"epoch": 1.846803271480081,
|
300 |
-
"grad_norm": 9.742755889892578,
|
301 |
-
"learning_rate": 8.15319672851992e-06,
|
302 |
-
"loss": 0.2633,
|
303 |
-
"step": 21000
|
304 |
-
},
|
305 |
-
{
|
306 |
-
"epoch": 1.8907747779438924,
|
307 |
-
"grad_norm": 11.295736312866211,
|
308 |
-
"learning_rate": 8.109225222056108e-06,
|
309 |
-
"loss": 0.2652,
|
310 |
-
"step": 21500
|
311 |
-
},
|
312 |
-
{
|
313 |
-
"epoch": 1.9347462844077037,
|
314 |
-
"grad_norm": 8.879314422607422,
|
315 |
-
"learning_rate": 8.065253715592298e-06,
|
316 |
-
"loss": 0.2651,
|
317 |
-
"step": 22000
|
318 |
-
},
|
319 |
-
{
|
320 |
-
"epoch": 1.9787177908715152,
|
321 |
-
"grad_norm": 9.949023246765137,
|
322 |
-
"learning_rate": 8.021282209128485e-06,
|
323 |
-
"loss": 0.27,
|
324 |
-
"step": 22500
|
325 |
-
},
|
326 |
-
{
|
327 |
-
"epoch": 2.0226892973353268,
|
328 |
-
"grad_norm": 4.5543622970581055,
|
329 |
-
"learning_rate": 7.977310702664673e-06,
|
330 |
-
"loss": 0.2283,
|
331 |
-
"step": 23000
|
332 |
-
},
|
333 |
-
{
|
334 |
-
"epoch": 2.066660803799138,
|
335 |
-
"grad_norm": 13.172735214233398,
|
336 |
-
"learning_rate": 7.933339196200861e-06,
|
337 |
-
"loss": 0.2061,
|
338 |
-
"step": 23500
|
339 |
-
},
|
340 |
-
{
|
341 |
-
"epoch": 2.1106323102629494,
|
342 |
-
"grad_norm": 12.874068260192871,
|
343 |
-
"learning_rate": 7.889367689737051e-06,
|
344 |
-
"loss": 0.2019,
|
345 |
-
"step": 24000
|
346 |
-
},
|
347 |
-
{
|
348 |
-
"epoch": 2.154603816726761,
|
349 |
-
"grad_norm": 17.02819061279297,
|
350 |
-
"learning_rate": 7.845396183273239e-06,
|
351 |
-
"loss": 0.2046,
|
352 |
-
"step": 24500
|
353 |
-
},
|
354 |
-
{
|
355 |
-
"epoch": 2.1985753231905725,
|
356 |
-
"grad_norm": 15.347699165344238,
|
357 |
-
"learning_rate": 7.801424676809429e-06,
|
358 |
-
"loss": 0.2035,
|
359 |
-
"step": 25000
|
360 |
-
},
|
361 |
-
{
|
362 |
-
"epoch": 2.242546829654384,
|
363 |
-
"grad_norm": 15.82715892791748,
|
364 |
-
"learning_rate": 7.757453170345617e-06,
|
365 |
-
"loss": 0.2088,
|
366 |
-
"step": 25500
|
367 |
-
},
|
368 |
-
{
|
369 |
-
"epoch": 2.2865183361181955,
|
370 |
-
"grad_norm": 7.533407211303711,
|
371 |
-
"learning_rate": 7.713481663881806e-06,
|
372 |
-
"loss": 0.2063,
|
373 |
-
"step": 26000
|
374 |
-
},
|
375 |
-
{
|
376 |
-
"epoch": 2.330489842582007,
|
377 |
-
"grad_norm": 21.629718780517578,
|
378 |
-
"learning_rate": 7.669510157417994e-06,
|
379 |
-
"loss": 0.2115,
|
380 |
-
"step": 26500
|
381 |
-
},
|
382 |
-
{
|
383 |
-
"epoch": 2.374461349045818,
|
384 |
-
"grad_norm": 15.344660758972168,
|
385 |
-
"learning_rate": 7.625538650954182e-06,
|
386 |
-
"loss": 0.2008,
|
387 |
-
"step": 27000
|
388 |
-
},
|
389 |
-
{
|
390 |
-
"epoch": 2.41843285550963,
|
391 |
-
"grad_norm": 12.559733390808105,
|
392 |
-
"learning_rate": 7.58156714449037e-06,
|
393 |
-
"loss": 0.1939,
|
394 |
-
"step": 27500
|
395 |
-
},
|
396 |
-
{
|
397 |
-
"epoch": 2.4624043619734413,
|
398 |
-
"grad_norm": 13.165969848632812,
|
399 |
-
"learning_rate": 7.537595638026559e-06,
|
400 |
-
"loss": 0.2105,
|
401 |
-
"step": 28000
|
402 |
-
},
|
403 |
-
{
|
404 |
-
"epoch": 2.5063758684372526,
|
405 |
-
"grad_norm": 12.558066368103027,
|
406 |
-
"learning_rate": 7.493624131562748e-06,
|
407 |
-
"loss": 0.1951,
|
408 |
-
"step": 28500
|
409 |
-
},
|
410 |
-
{
|
411 |
-
"epoch": 2.5503473749010643,
|
412 |
-
"grad_norm": 13.841544151306152,
|
413 |
-
"learning_rate": 7.449652625098936e-06,
|
414 |
-
"loss": 0.1997,
|
415 |
-
"step": 29000
|
416 |
-
},
|
417 |
-
{
|
418 |
-
"epoch": 2.5943188813648757,
|
419 |
-
"grad_norm": 6.036389350891113,
|
420 |
-
"learning_rate": 7.405681118635125e-06,
|
421 |
-
"loss": 0.2056,
|
422 |
-
"step": 29500
|
423 |
-
},
|
424 |
-
{
|
425 |
-
"epoch": 2.638290387828687,
|
426 |
-
"grad_norm": 24.980592727661133,
|
427 |
-
"learning_rate": 7.361709612171314e-06,
|
428 |
-
"loss": 0.2021,
|
429 |
-
"step": 30000
|
430 |
-
},
|
431 |
-
{
|
432 |
-
"epoch": 2.6822618942924983,
|
433 |
-
"grad_norm": 3.522369861602783,
|
434 |
-
"learning_rate": 7.317738105707503e-06,
|
435 |
-
"loss": 0.2109,
|
436 |
-
"step": 30500
|
437 |
-
},
|
438 |
-
{
|
439 |
-
"epoch": 2.72623340075631,
|
440 |
-
"grad_norm": 1.9453462362289429,
|
441 |
-
"learning_rate": 7.273766599243692e-06,
|
442 |
-
"loss": 0.1934,
|
443 |
-
"step": 31000
|
444 |
-
},
|
445 |
-
{
|
446 |
-
"epoch": 2.7702049072201214,
|
447 |
-
"grad_norm": 14.508398056030273,
|
448 |
-
"learning_rate": 7.229795092779879e-06,
|
449 |
-
"loss": 0.2064,
|
450 |
-
"step": 31500
|
451 |
-
},
|
452 |
-
{
|
453 |
-
"epoch": 2.8141764136839327,
|
454 |
-
"grad_norm": 11.040177345275879,
|
455 |
-
"learning_rate": 7.1858235863160675e-06,
|
456 |
-
"loss": 0.2016,
|
457 |
-
"step": 32000
|
458 |
-
},
|
459 |
-
{
|
460 |
-
"epoch": 2.8581479201477444,
|
461 |
-
"grad_norm": 7.400022506713867,
|
462 |
-
"learning_rate": 7.141852079852256e-06,
|
463 |
-
"loss": 0.2043,
|
464 |
-
"step": 32500
|
465 |
-
},
|
466 |
-
{
|
467 |
-
"epoch": 2.9021194266115558,
|
468 |
-
"grad_norm": 5.055144309997559,
|
469 |
-
"learning_rate": 7.097880573388445e-06,
|
470 |
-
"loss": 0.1952,
|
471 |
-
"step": 33000
|
472 |
-
},
|
473 |
-
{
|
474 |
-
"epoch": 2.946090933075367,
|
475 |
-
"grad_norm": 10.668570518493652,
|
476 |
-
"learning_rate": 7.053909066924634e-06,
|
477 |
-
"loss": 0.1949,
|
478 |
-
"step": 33500
|
479 |
-
},
|
480 |
-
{
|
481 |
-
"epoch": 2.9900624395391784,
|
482 |
-
"grad_norm": 2.9759585857391357,
|
483 |
-
"learning_rate": 7.009937560460822e-06,
|
484 |
-
"loss": 0.1987,
|
485 |
-
"step": 34000
|
486 |
-
},
|
487 |
-
{
|
488 |
-
"epoch": 3.03403394600299,
|
489 |
-
"grad_norm": 17.75304412841797,
|
490 |
-
"learning_rate": 6.965966053997011e-06,
|
491 |
-
"loss": 0.1568,
|
492 |
-
"step": 34500
|
493 |
-
},
|
494 |
-
{
|
495 |
-
"epoch": 3.0780054524668015,
|
496 |
-
"grad_norm": 30.556795120239258,
|
497 |
-
"learning_rate": 6.921994547533199e-06,
|
498 |
-
"loss": 0.1476,
|
499 |
-
"step": 35000
|
500 |
-
},
|
501 |
-
{
|
502 |
-
"epoch": 3.1219769589306128,
|
503 |
-
"grad_norm": 5.082170486450195,
|
504 |
-
"learning_rate": 6.878023041069387e-06,
|
505 |
-
"loss": 0.1513,
|
506 |
-
"step": 35500
|
507 |
-
},
|
508 |
-
{
|
509 |
-
"epoch": 3.1659484653944245,
|
510 |
-
"grad_norm": 1.4760559797286987,
|
511 |
-
"learning_rate": 6.834051534605576e-06,
|
512 |
-
"loss": 0.1551,
|
513 |
-
"step": 36000
|
514 |
-
},
|
515 |
-
{
|
516 |
-
"epoch": 3.209919971858236,
|
517 |
-
"grad_norm": 2.336458683013916,
|
518 |
-
"learning_rate": 6.790080028141764e-06,
|
519 |
-
"loss": 0.1554,
|
520 |
-
"step": 36500
|
521 |
-
},
|
522 |
-
{
|
523 |
-
"epoch": 3.253891478322047,
|
524 |
-
"grad_norm": 23.16608428955078,
|
525 |
-
"learning_rate": 6.746108521677953e-06,
|
526 |
-
"loss": 0.1529,
|
527 |
-
"step": 37000
|
528 |
-
},
|
529 |
-
{
|
530 |
-
"epoch": 3.297862984785859,
|
531 |
-
"grad_norm": 10.948084831237793,
|
532 |
-
"learning_rate": 6.702137015214142e-06,
|
533 |
-
"loss": 0.1583,
|
534 |
-
"step": 37500
|
535 |
-
},
|
536 |
-
{
|
537 |
-
"epoch": 3.3418344912496702,
|
538 |
-
"grad_norm": 15.917346954345703,
|
539 |
-
"learning_rate": 6.6581655087503305e-06,
|
540 |
-
"loss": 0.167,
|
541 |
-
"step": 38000
|
542 |
-
},
|
543 |
-
{
|
544 |
-
"epoch": 3.3858059977134816,
|
545 |
-
"grad_norm": 1.641739845275879,
|
546 |
-
"learning_rate": 6.614194002286519e-06,
|
547 |
-
"loss": 0.1539,
|
548 |
-
"step": 38500
|
549 |
-
},
|
550 |
-
{
|
551 |
-
"epoch": 3.4297775041772933,
|
552 |
-
"grad_norm": 0.5845322608947754,
|
553 |
-
"learning_rate": 6.570222495822708e-06,
|
554 |
-
"loss": 0.1576,
|
555 |
-
"step": 39000
|
556 |
-
},
|
557 |
-
{
|
558 |
-
"epoch": 3.4737490106411046,
|
559 |
-
"grad_norm": 16.46019744873047,
|
560 |
-
"learning_rate": 6.526250989358895e-06,
|
561 |
-
"loss": 0.1561,
|
562 |
-
"step": 39500
|
563 |
-
},
|
564 |
-
{
|
565 |
-
"epoch": 3.517720517104916,
|
566 |
-
"grad_norm": 31.895326614379883,
|
567 |
-
"learning_rate": 6.482279482895084e-06,
|
568 |
-
"loss": 0.1459,
|
569 |
-
"step": 40000
|
570 |
-
},
|
571 |
-
{
|
572 |
-
"epoch": 3.5616920235687273,
|
573 |
-
"grad_norm": 3.9819185733795166,
|
574 |
-
"learning_rate": 6.438307976431273e-06,
|
575 |
-
"loss": 0.1623,
|
576 |
-
"step": 40500
|
577 |
-
},
|
578 |
-
{
|
579 |
-
"epoch": 3.605663530032539,
|
580 |
-
"grad_norm": 13.1094970703125,
|
581 |
-
"learning_rate": 6.3943364699674615e-06,
|
582 |
-
"loss": 0.1566,
|
583 |
-
"step": 41000
|
584 |
-
},
|
585 |
-
{
|
586 |
-
"epoch": 3.6496350364963503,
|
587 |
-
"grad_norm": 6.929986953735352,
|
588 |
-
"learning_rate": 6.35036496350365e-06,
|
589 |
-
"loss": 0.1656,
|
590 |
-
"step": 41500
|
591 |
-
},
|
592 |
-
{
|
593 |
-
"epoch": 3.6936065429601617,
|
594 |
-
"grad_norm": 7.520695686340332,
|
595 |
-
"learning_rate": 6.306393457039839e-06,
|
596 |
-
"loss": 0.1599,
|
597 |
-
"step": 42000
|
598 |
-
},
|
599 |
-
{
|
600 |
-
"epoch": 3.7375780494239734,
|
601 |
-
"grad_norm": 11.514050483703613,
|
602 |
-
"learning_rate": 6.262421950576028e-06,
|
603 |
-
"loss": 0.1664,
|
604 |
-
"step": 42500
|
605 |
-
},
|
606 |
-
{
|
607 |
-
"epoch": 3.7815495558877847,
|
608 |
-
"grad_norm": 1.5625334978103638,
|
609 |
-
"learning_rate": 6.218450444112216e-06,
|
610 |
-
"loss": 0.1603,
|
611 |
-
"step": 43000
|
612 |
-
},
|
613 |
-
{
|
614 |
-
"epoch": 3.825521062351596,
|
615 |
-
"grad_norm": 22.2111873626709,
|
616 |
-
"learning_rate": 6.174478937648405e-06,
|
617 |
-
"loss": 0.1645,
|
618 |
-
"step": 43500
|
619 |
-
},
|
620 |
-
{
|
621 |
-
"epoch": 3.8694925688154074,
|
622 |
-
"grad_norm": 9.370536804199219,
|
623 |
-
"learning_rate": 6.130507431184593e-06,
|
624 |
-
"loss": 0.153,
|
625 |
-
"step": 44000
|
626 |
-
},
|
627 |
-
{
|
628 |
-
"epoch": 3.913464075279219,
|
629 |
-
"grad_norm": 1.3509089946746826,
|
630 |
-
"learning_rate": 6.086535924720781e-06,
|
631 |
-
"loss": 0.1605,
|
632 |
-
"step": 44500
|
633 |
-
},
|
634 |
-
{
|
635 |
-
"epoch": 3.9574355817430305,
|
636 |
-
"grad_norm": 1.670966386795044,
|
637 |
-
"learning_rate": 6.04256441825697e-06,
|
638 |
-
"loss": 0.1602,
|
639 |
-
"step": 45000
|
640 |
-
},
|
641 |
-
{
|
642 |
-
"epoch": 4.001407088206842,
|
643 |
-
"grad_norm": 22.55781364440918,
|
644 |
-
"learning_rate": 5.998592911793158e-06,
|
645 |
-
"loss": 0.1582,
|
646 |
-
"step": 45500
|
647 |
-
},
|
648 |
-
{
|
649 |
-
"epoch": 4.0453785946706535,
|
650 |
-
"grad_norm": 18.12227439880371,
|
651 |
-
"learning_rate": 5.954621405329347e-06,
|
652 |
-
"loss": 0.1256,
|
653 |
-
"step": 46000
|
654 |
-
},
|
655 |
-
{
|
656 |
-
"epoch": 4.089350101134465,
|
657 |
-
"grad_norm": 11.872714042663574,
|
658 |
-
"learning_rate": 5.910649898865536e-06,
|
659 |
-
"loss": 0.1241,
|
660 |
-
"step": 46500
|
661 |
-
},
|
662 |
-
{
|
663 |
-
"epoch": 4.133321607598276,
|
664 |
-
"grad_norm": 26.38855743408203,
|
665 |
-
"learning_rate": 5.8666783924017245e-06,
|
666 |
-
"loss": 0.1301,
|
667 |
-
"step": 47000
|
668 |
-
},
|
669 |
-
{
|
670 |
-
"epoch": 4.1772931140620875,
|
671 |
-
"grad_norm": 25.3267879486084,
|
672 |
-
"learning_rate": 5.822706885937913e-06,
|
673 |
-
"loss": 0.1236,
|
674 |
-
"step": 47500
|
675 |
-
},
|
676 |
-
{
|
677 |
-
"epoch": 4.221264620525899,
|
678 |
-
"grad_norm": 27.222675323486328,
|
679 |
-
"learning_rate": 5.7787353794741e-06,
|
680 |
-
"loss": 0.1217,
|
681 |
-
"step": 48000
|
682 |
-
},
|
683 |
-
{
|
684 |
-
"epoch": 4.265236126989711,
|
685 |
-
"grad_norm": 53.458518981933594,
|
686 |
-
"learning_rate": 5.734763873010289e-06,
|
687 |
-
"loss": 0.1315,
|
688 |
-
"step": 48500
|
689 |
-
},
|
690 |
-
{
|
691 |
-
"epoch": 4.309207633453522,
|
692 |
-
"grad_norm": 27.357641220092773,
|
693 |
-
"learning_rate": 5.690792366546478e-06,
|
694 |
-
"loss": 0.1253,
|
695 |
-
"step": 49000
|
696 |
-
},
|
697 |
-
{
|
698 |
-
"epoch": 4.353179139917334,
|
699 |
-
"grad_norm": 18.440649032592773,
|
700 |
-
"learning_rate": 5.646820860082667e-06,
|
701 |
-
"loss": 0.132,
|
702 |
-
"step": 49500
|
703 |
-
},
|
704 |
-
{
|
705 |
-
"epoch": 4.397150646381145,
|
706 |
-
"grad_norm": 8.659114837646484,
|
707 |
-
"learning_rate": 5.6028493536188556e-06,
|
708 |
-
"loss": 0.1262,
|
709 |
-
"step": 50000
|
710 |
-
},
|
711 |
-
{
|
712 |
-
"epoch": 4.441122152844956,
|
713 |
-
"grad_norm": 22.664106369018555,
|
714 |
-
"learning_rate": 5.558877847155044e-06,
|
715 |
-
"loss": 0.1185,
|
716 |
-
"step": 50500
|
717 |
-
},
|
718 |
-
{
|
719 |
-
"epoch": 4.485093659308768,
|
720 |
-
"grad_norm": 2.488041400909424,
|
721 |
-
"learning_rate": 5.514906340691233e-06,
|
722 |
-
"loss": 0.1264,
|
723 |
-
"step": 51000
|
724 |
-
},
|
725 |
-
{
|
726 |
-
"epoch": 4.529065165772579,
|
727 |
-
"grad_norm": 35.29222869873047,
|
728 |
-
"learning_rate": 5.470934834227422e-06,
|
729 |
-
"loss": 0.134,
|
730 |
-
"step": 51500
|
731 |
-
},
|
732 |
-
{
|
733 |
-
"epoch": 4.573036672236391,
|
734 |
-
"grad_norm": 25.144588470458984,
|
735 |
-
"learning_rate": 5.426963327763609e-06,
|
736 |
-
"loss": 0.1265,
|
737 |
-
"step": 52000
|
738 |
-
},
|
739 |
-
{
|
740 |
-
"epoch": 4.617008178700202,
|
741 |
-
"grad_norm": 1.2160580158233643,
|
742 |
-
"learning_rate": 5.382991821299798e-06,
|
743 |
-
"loss": 0.1306,
|
744 |
-
"step": 52500
|
745 |
-
},
|
746 |
-
{
|
747 |
-
"epoch": 4.660979685164014,
|
748 |
-
"grad_norm": 22.59756088256836,
|
749 |
-
"learning_rate": 5.339020314835987e-06,
|
750 |
-
"loss": 0.127,
|
751 |
-
"step": 53000
|
752 |
-
},
|
753 |
-
{
|
754 |
-
"epoch": 4.704951191627825,
|
755 |
-
"grad_norm": 17.720712661743164,
|
756 |
-
"learning_rate": 5.295048808372175e-06,
|
757 |
-
"loss": 0.1233,
|
758 |
-
"step": 53500
|
759 |
-
},
|
760 |
-
{
|
761 |
-
"epoch": 4.748922698091636,
|
762 |
-
"grad_norm": 24.757396697998047,
|
763 |
-
"learning_rate": 5.251077301908364e-06,
|
764 |
-
"loss": 0.135,
|
765 |
-
"step": 54000
|
766 |
-
},
|
767 |
-
{
|
768 |
-
"epoch": 4.792894204555449,
|
769 |
-
"grad_norm": 13.89427375793457,
|
770 |
-
"learning_rate": 5.207105795444552e-06,
|
771 |
-
"loss": 0.1232,
|
772 |
-
"step": 54500
|
773 |
-
},
|
774 |
-
{
|
775 |
-
"epoch": 4.83686571101926,
|
776 |
-
"grad_norm": 6.014657974243164,
|
777 |
-
"learning_rate": 5.163134288980741e-06,
|
778 |
-
"loss": 0.1322,
|
779 |
-
"step": 55000
|
780 |
-
},
|
781 |
-
{
|
782 |
-
"epoch": 4.880837217483071,
|
783 |
-
"grad_norm": 16.53226089477539,
|
784 |
-
"learning_rate": 5.11916278251693e-06,
|
785 |
-
"loss": 0.1254,
|
786 |
-
"step": 55500
|
787 |
-
},
|
788 |
-
{
|
789 |
-
"epoch": 4.9248087239468825,
|
790 |
-
"grad_norm": 4.393960952758789,
|
791 |
-
"learning_rate": 5.075191276053118e-06,
|
792 |
-
"loss": 0.1343,
|
793 |
-
"step": 56000
|
794 |
-
},
|
795 |
-
{
|
796 |
-
"epoch": 4.968780230410694,
|
797 |
-
"grad_norm": 6.577863693237305,
|
798 |
-
"learning_rate": 5.0312197695893065e-06,
|
799 |
-
"loss": 0.1302,
|
800 |
-
"step": 56500
|
801 |
-
},
|
802 |
-
{
|
803 |
-
"epoch": 5.012751736874505,
|
804 |
-
"grad_norm": 0.385308176279068,
|
805 |
-
"learning_rate": 4.987248263125494e-06,
|
806 |
-
"loss": 0.1134,
|
807 |
-
"step": 57000
|
808 |
-
},
|
809 |
-
{
|
810 |
-
"epoch": 5.0567232433383165,
|
811 |
-
"grad_norm": 17.352643966674805,
|
812 |
-
"learning_rate": 4.943276756661683e-06,
|
813 |
-
"loss": 0.1024,
|
814 |
-
"step": 57500
|
815 |
-
},
|
816 |
-
{
|
817 |
-
"epoch": 5.100694749802129,
|
818 |
-
"grad_norm": 44.88164520263672,
|
819 |
-
"learning_rate": 4.899305250197872e-06,
|
820 |
-
"loss": 0.1095,
|
821 |
-
"step": 58000
|
822 |
-
},
|
823 |
-
{
|
824 |
-
"epoch": 5.14466625626594,
|
825 |
-
"grad_norm": 2.88139009475708,
|
826 |
-
"learning_rate": 4.855333743734061e-06,
|
827 |
-
"loss": 0.1022,
|
828 |
-
"step": 58500
|
829 |
-
},
|
830 |
-
{
|
831 |
-
"epoch": 5.188637762729751,
|
832 |
-
"grad_norm": 30.369657516479492,
|
833 |
-
"learning_rate": 4.81136223727025e-06,
|
834 |
-
"loss": 0.1029,
|
835 |
-
"step": 59000
|
836 |
-
},
|
837 |
-
{
|
838 |
-
"epoch": 5.232609269193563,
|
839 |
-
"grad_norm": 21.04435920715332,
|
840 |
-
"learning_rate": 4.7673907308064375e-06,
|
841 |
-
"loss": 0.0973,
|
842 |
-
"step": 59500
|
843 |
-
},
|
844 |
-
{
|
845 |
-
"epoch": 5.276580775657374,
|
846 |
-
"grad_norm": 0.3326770067214966,
|
847 |
-
"learning_rate": 4.723419224342626e-06,
|
848 |
-
"loss": 0.0969,
|
849 |
-
"step": 60000
|
850 |
-
},
|
851 |
-
{
|
852 |
-
"epoch": 5.320552282121185,
|
853 |
-
"grad_norm": 26.21080207824707,
|
854 |
-
"learning_rate": 4.679447717878815e-06,
|
855 |
-
"loss": 0.1072,
|
856 |
-
"step": 60500
|
857 |
-
},
|
858 |
-
{
|
859 |
-
"epoch": 5.364523788584997,
|
860 |
-
"grad_norm": 66.27179718017578,
|
861 |
-
"learning_rate": 4.635476211415004e-06,
|
862 |
-
"loss": 0.11,
|
863 |
-
"step": 61000
|
864 |
-
},
|
865 |
-
{
|
866 |
-
"epoch": 5.408495295048809,
|
867 |
-
"grad_norm": 0.6907067894935608,
|
868 |
-
"learning_rate": 4.591504704951192e-06,
|
869 |
-
"loss": 0.1077,
|
870 |
-
"step": 61500
|
871 |
-
},
|
872 |
-
{
|
873 |
-
"epoch": 5.45246680151262,
|
874 |
-
"grad_norm": 18.443483352661133,
|
875 |
-
"learning_rate": 4.547533198487381e-06,
|
876 |
-
"loss": 0.0996,
|
877 |
-
"step": 62000
|
878 |
-
},
|
879 |
-
{
|
880 |
-
"epoch": 5.496438307976431,
|
881 |
-
"grad_norm": 30.685518264770508,
|
882 |
-
"learning_rate": 4.5035616920235695e-06,
|
883 |
-
"loss": 0.0937,
|
884 |
-
"step": 62500
|
885 |
-
},
|
886 |
-
{
|
887 |
-
"epoch": 5.540409814440243,
|
888 |
-
"grad_norm": 8.975428581237793,
|
889 |
-
"learning_rate": 4.459590185559758e-06,
|
890 |
-
"loss": 0.1074,
|
891 |
-
"step": 63000
|
892 |
-
},
|
893 |
-
{
|
894 |
-
"epoch": 5.584381320904054,
|
895 |
-
"grad_norm": 21.28555679321289,
|
896 |
-
"learning_rate": 4.415618679095946e-06,
|
897 |
-
"loss": 0.0958,
|
898 |
-
"step": 63500
|
899 |
-
},
|
900 |
-
{
|
901 |
-
"epoch": 5.628352827367865,
|
902 |
-
"grad_norm": 35.58885192871094,
|
903 |
-
"learning_rate": 4.371647172632135e-06,
|
904 |
-
"loss": 0.1072,
|
905 |
-
"step": 64000
|
906 |
-
},
|
907 |
-
{
|
908 |
-
"epoch": 5.672324333831677,
|
909 |
-
"grad_norm": 31.6656436920166,
|
910 |
-
"learning_rate": 4.327675666168324e-06,
|
911 |
-
"loss": 0.1075,
|
912 |
-
"step": 64500
|
913 |
-
},
|
914 |
-
{
|
915 |
-
"epoch": 5.716295840295489,
|
916 |
-
"grad_norm": 1.064644455909729,
|
917 |
-
"learning_rate": 4.283704159704512e-06,
|
918 |
-
"loss": 0.1069,
|
919 |
-
"step": 65000
|
920 |
-
},
|
921 |
-
{
|
922 |
-
"epoch": 5.7602673467593,
|
923 |
-
"grad_norm": 8.807537078857422,
|
924 |
-
"learning_rate": 4.2397326532407005e-06,
|
925 |
-
"loss": 0.1059,
|
926 |
-
"step": 65500
|
927 |
-
},
|
928 |
-
{
|
929 |
-
"epoch": 5.8042388532231115,
|
930 |
-
"grad_norm": 6.445720672607422,
|
931 |
-
"learning_rate": 4.1957611467768885e-06,
|
932 |
-
"loss": 0.1046,
|
933 |
-
"step": 66000
|
934 |
-
},
|
935 |
-
{
|
936 |
-
"epoch": 5.848210359686923,
|
937 |
-
"grad_norm": 10.035616874694824,
|
938 |
-
"learning_rate": 4.151789640313077e-06,
|
939 |
-
"loss": 0.1061,
|
940 |
-
"step": 66500
|
941 |
-
},
|
942 |
-
{
|
943 |
-
"epoch": 5.892181866150734,
|
944 |
-
"grad_norm": 0.3110928535461426,
|
945 |
-
"learning_rate": 4.107818133849266e-06,
|
946 |
-
"loss": 0.1087,
|
947 |
-
"step": 67000
|
948 |
-
},
|
949 |
-
{
|
950 |
-
"epoch": 5.9361533726145455,
|
951 |
-
"grad_norm": 1.1699435710906982,
|
952 |
-
"learning_rate": 4.063846627385454e-06,
|
953 |
-
"loss": 0.101,
|
954 |
-
"step": 67500
|
955 |
-
},
|
956 |
-
{
|
957 |
-
"epoch": 5.980124879078357,
|
958 |
-
"grad_norm": 4.037410736083984,
|
959 |
-
"learning_rate": 4.019875120921643e-06,
|
960 |
-
"loss": 0.1123,
|
961 |
-
"step": 68000
|
962 |
-
},
|
963 |
-
{
|
964 |
-
"epoch": 6.024096385542169,
|
965 |
-
"grad_norm": 17.392499923706055,
|
966 |
-
"learning_rate": 3.975903614457832e-06,
|
967 |
-
"loss": 0.0904,
|
968 |
-
"step": 68500
|
969 |
-
},
|
970 |
-
{
|
971 |
-
"epoch": 6.06806789200598,
|
972 |
-
"grad_norm": 2.474785089492798,
|
973 |
-
"learning_rate": 3.93193210799402e-06,
|
974 |
-
"loss": 0.078,
|
975 |
-
"step": 69000
|
976 |
-
},
|
977 |
-
{
|
978 |
-
"epoch": 6.112039398469792,
|
979 |
-
"grad_norm": 6.585563659667969,
|
980 |
-
"learning_rate": 3.887960601530208e-06,
|
981 |
-
"loss": 0.0805,
|
982 |
-
"step": 69500
|
983 |
-
},
|
984 |
-
{
|
985 |
-
"epoch": 6.156010904933603,
|
986 |
-
"grad_norm": 22.513330459594727,
|
987 |
-
"learning_rate": 3.843989095066397e-06,
|
988 |
-
"loss": 0.0839,
|
989 |
-
"step": 70000
|
990 |
-
},
|
991 |
-
{
|
992 |
-
"epoch": 6.199982411397414,
|
993 |
-
"grad_norm": 13.566338539123535,
|
994 |
-
"learning_rate": 3.800017588602586e-06,
|
995 |
-
"loss": 0.0812,
|
996 |
-
"step": 70500
|
997 |
-
},
|
998 |
-
{
|
999 |
-
"epoch": 6.2439539178612256,
|
1000 |
-
"grad_norm": 0.06740322709083557,
|
1001 |
-
"learning_rate": 3.7560460821387747e-06,
|
1002 |
-
"loss": 0.085,
|
1003 |
-
"step": 71000
|
1004 |
-
},
|
1005 |
-
{
|
1006 |
-
"epoch": 6.287925424325038,
|
1007 |
-
"grad_norm": 7.70227575302124,
|
1008 |
-
"learning_rate": 3.7120745756749626e-06,
|
1009 |
-
"loss": 0.0797,
|
1010 |
-
"step": 71500
|
1011 |
-
},
|
1012 |
-
{
|
1013 |
-
"epoch": 6.331896930788849,
|
1014 |
-
"grad_norm": 0.8043323159217834,
|
1015 |
-
"learning_rate": 3.6681030692111514e-06,
|
1016 |
-
"loss": 0.083,
|
1017 |
-
"step": 72000
|
1018 |
-
},
|
1019 |
-
{
|
1020 |
-
"epoch": 6.37586843725266,
|
1021 |
-
"grad_norm": 0.23601041734218597,
|
1022 |
-
"learning_rate": 3.62413156274734e-06,
|
1023 |
-
"loss": 0.0881,
|
1024 |
-
"step": 72500
|
1025 |
-
},
|
1026 |
-
{
|
1027 |
-
"epoch": 6.419839943716472,
|
1028 |
-
"grad_norm": 24.715349197387695,
|
1029 |
-
"learning_rate": 3.5801600562835286e-06,
|
1030 |
-
"loss": 0.0845,
|
1031 |
-
"step": 73000
|
1032 |
-
},
|
1033 |
-
{
|
1034 |
-
"epoch": 6.463811450180283,
|
1035 |
-
"grad_norm": 32.790096282958984,
|
1036 |
-
"learning_rate": 3.5361885498197174e-06,
|
1037 |
-
"loss": 0.0873,
|
1038 |
-
"step": 73500
|
1039 |
-
},
|
1040 |
-
{
|
1041 |
-
"epoch": 6.507782956644094,
|
1042 |
-
"grad_norm": 0.44961002469062805,
|
1043 |
-
"learning_rate": 3.4922170433559053e-06,
|
1044 |
-
"loss": 0.0926,
|
1045 |
-
"step": 74000
|
1046 |
-
},
|
1047 |
-
{
|
1048 |
-
"epoch": 6.5517544631079065,
|
1049 |
-
"grad_norm": 30.2086181640625,
|
1050 |
-
"learning_rate": 3.448245536892094e-06,
|
1051 |
-
"loss": 0.0869,
|
1052 |
-
"step": 74500
|
1053 |
-
},
|
1054 |
-
{
|
1055 |
-
"epoch": 6.595725969571718,
|
1056 |
-
"grad_norm": 21.381420135498047,
|
1057 |
-
"learning_rate": 3.404274030428283e-06,
|
1058 |
-
"loss": 0.0897,
|
1059 |
-
"step": 75000
|
1060 |
-
},
|
1061 |
-
{
|
1062 |
-
"epoch": 6.639697476035529,
|
1063 |
-
"grad_norm": 9.947957038879395,
|
1064 |
-
"learning_rate": 3.3603025239644717e-06,
|
1065 |
-
"loss": 0.0862,
|
1066 |
-
"step": 75500
|
1067 |
-
},
|
1068 |
-
{
|
1069 |
-
"epoch": 6.6836689824993405,
|
1070 |
-
"grad_norm": 0.4237179160118103,
|
1071 |
-
"learning_rate": 3.3163310175006597e-06,
|
1072 |
-
"loss": 0.0839,
|
1073 |
-
"step": 76000
|
1074 |
-
},
|
1075 |
-
{
|
1076 |
-
"epoch": 6.727640488963152,
|
1077 |
-
"grad_norm": 8.52582836151123,
|
1078 |
-
"learning_rate": 3.2723595110368485e-06,
|
1079 |
-
"loss": 0.0838,
|
1080 |
-
"step": 76500
|
1081 |
-
},
|
1082 |
-
{
|
1083 |
-
"epoch": 6.771611995426963,
|
1084 |
-
"grad_norm": 21.18242073059082,
|
1085 |
-
"learning_rate": 3.228388004573037e-06,
|
1086 |
-
"loss": 0.0858,
|
1087 |
-
"step": 77000
|
1088 |
-
},
|
1089 |
-
{
|
1090 |
-
"epoch": 6.815583501890774,
|
1091 |
-
"grad_norm": 42.046844482421875,
|
1092 |
-
"learning_rate": 3.1844164981092256e-06,
|
1093 |
-
"loss": 0.0825,
|
1094 |
-
"step": 77500
|
1095 |
-
},
|
1096 |
-
{
|
1097 |
-
"epoch": 6.859555008354587,
|
1098 |
-
"grad_norm": 3.5966274738311768,
|
1099 |
-
"learning_rate": 3.140444991645414e-06,
|
1100 |
-
"loss": 0.0873,
|
1101 |
-
"step": 78000
|
1102 |
-
},
|
1103 |
-
{
|
1104 |
-
"epoch": 6.903526514818398,
|
1105 |
-
"grad_norm": 25.500396728515625,
|
1106 |
-
"learning_rate": 3.0964734851816024e-06,
|
1107 |
-
"loss": 0.0885,
|
1108 |
-
"step": 78500
|
1109 |
-
},
|
1110 |
-
{
|
1111 |
-
"epoch": 6.947498021282209,
|
1112 |
-
"grad_norm": 59.15459442138672,
|
1113 |
-
"learning_rate": 3.052501978717791e-06,
|
1114 |
-
"loss": 0.0855,
|
1115 |
-
"step": 79000
|
1116 |
-
},
|
1117 |
-
{
|
1118 |
-
"epoch": 6.991469527746021,
|
1119 |
-
"grad_norm": 0.11808668822050095,
|
1120 |
-
"learning_rate": 3.00853047225398e-06,
|
1121 |
-
"loss": 0.0837,
|
1122 |
-
"step": 79500
|
1123 |
-
},
|
1124 |
-
{
|
1125 |
-
"epoch": 7.035441034209832,
|
1126 |
-
"grad_norm": 0.7973224520683289,
|
1127 |
-
"learning_rate": 2.964558965790168e-06,
|
1128 |
-
"loss": 0.0648,
|
1129 |
-
"step": 80000
|
1130 |
-
},
|
1131 |
-
{
|
1132 |
-
"epoch": 7.079412540673643,
|
1133 |
-
"grad_norm": 46.84673309326172,
|
1134 |
-
"learning_rate": 2.9205874593263567e-06,
|
1135 |
-
"loss": 0.0709,
|
1136 |
-
"step": 80500
|
1137 |
-
},
|
1138 |
-
{
|
1139 |
-
"epoch": 7.1233840471374545,
|
1140 |
-
"grad_norm": 0.13476693630218506,
|
1141 |
-
"learning_rate": 2.8766159528625455e-06,
|
1142 |
-
"loss": 0.0751,
|
1143 |
-
"step": 81000
|
1144 |
-
},
|
1145 |
-
{
|
1146 |
-
"epoch": 7.167355553601267,
|
1147 |
-
"grad_norm": 30.29783821105957,
|
1148 |
-
"learning_rate": 2.832644446398734e-06,
|
1149 |
-
"loss": 0.0677,
|
1150 |
-
"step": 81500
|
1151 |
-
},
|
1152 |
-
{
|
1153 |
-
"epoch": 7.211327060065078,
|
1154 |
-
"grad_norm": 12.256621360778809,
|
1155 |
-
"learning_rate": 2.7886729399349222e-06,
|
1156 |
-
"loss": 0.0717,
|
1157 |
-
"step": 82000
|
1158 |
-
},
|
1159 |
-
{
|
1160 |
-
"epoch": 7.255298566528889,
|
1161 |
-
"grad_norm": 18.782052993774414,
|
1162 |
-
"learning_rate": 2.744701433471111e-06,
|
1163 |
-
"loss": 0.0652,
|
1164 |
-
"step": 82500
|
1165 |
-
},
|
1166 |
-
{
|
1167 |
-
"epoch": 7.299270072992701,
|
1168 |
-
"grad_norm": 4.884202480316162,
|
1169 |
-
"learning_rate": 2.7007299270072994e-06,
|
1170 |
-
"loss": 0.0702,
|
1171 |
-
"step": 83000
|
1172 |
-
},
|
1173 |
-
{
|
1174 |
-
"epoch": 7.343241579456512,
|
1175 |
-
"grad_norm": 0.8015443682670593,
|
1176 |
-
"learning_rate": 2.656758420543488e-06,
|
1177 |
-
"loss": 0.0742,
|
1178 |
-
"step": 83500
|
1179 |
-
},
|
1180 |
-
{
|
1181 |
-
"epoch": 7.387213085920323,
|
1182 |
-
"grad_norm": 0.11882288008928299,
|
1183 |
-
"learning_rate": 2.6127869140796765e-06,
|
1184 |
-
"loss": 0.0677,
|
1185 |
-
"step": 84000
|
1186 |
-
},
|
1187 |
-
{
|
1188 |
-
"epoch": 7.431184592384135,
|
1189 |
-
"grad_norm": 24.17609214782715,
|
1190 |
-
"learning_rate": 2.568815407615865e-06,
|
1191 |
-
"loss": 0.0693,
|
1192 |
-
"step": 84500
|
1193 |
-
},
|
1194 |
-
{
|
1195 |
-
"epoch": 7.475156098847947,
|
1196 |
-
"grad_norm": 8.958883285522461,
|
1197 |
-
"learning_rate": 2.5248439011520537e-06,
|
1198 |
-
"loss": 0.0754,
|
1199 |
-
"step": 85000
|
1200 |
-
},
|
1201 |
-
{
|
1202 |
-
"epoch": 7.519127605311758,
|
1203 |
-
"grad_norm": 0.03229560703039169,
|
1204 |
-
"learning_rate": 2.480872394688242e-06,
|
1205 |
-
"loss": 0.0696,
|
1206 |
-
"step": 85500
|
1207 |
-
},
|
1208 |
-
{
|
1209 |
-
"epoch": 7.5630991117755695,
|
1210 |
-
"grad_norm": 26.437501907348633,
|
1211 |
-
"learning_rate": 2.436900888224431e-06,
|
1212 |
-
"loss": 0.0704,
|
1213 |
-
"step": 86000
|
1214 |
-
},
|
1215 |
-
{
|
1216 |
-
"epoch": 7.607070618239381,
|
1217 |
-
"grad_norm": 33.26008605957031,
|
1218 |
-
"learning_rate": 2.3929293817606197e-06,
|
1219 |
-
"loss": 0.0679,
|
1220 |
-
"step": 86500
|
1221 |
-
},
|
1222 |
-
{
|
1223 |
-
"epoch": 7.651042124703192,
|
1224 |
-
"grad_norm": 4.0587334632873535,
|
1225 |
-
"learning_rate": 2.348957875296808e-06,
|
1226 |
-
"loss": 0.0727,
|
1227 |
-
"step": 87000
|
1228 |
-
},
|
1229 |
-
{
|
1230 |
-
"epoch": 7.695013631167003,
|
1231 |
-
"grad_norm": 1.8055332899093628,
|
1232 |
-
"learning_rate": 2.3049863688329964e-06,
|
1233 |
-
"loss": 0.0714,
|
1234 |
-
"step": 87500
|
1235 |
-
},
|
1236 |
-
{
|
1237 |
-
"epoch": 7.738985137630815,
|
1238 |
-
"grad_norm": 0.08867678046226501,
|
1239 |
-
"learning_rate": 2.2610148623691848e-06,
|
1240 |
-
"loss": 0.0714,
|
1241 |
-
"step": 88000
|
1242 |
-
},
|
1243 |
-
{
|
1244 |
-
"epoch": 7.782956644094627,
|
1245 |
-
"grad_norm": 51.05652618408203,
|
1246 |
-
"learning_rate": 2.2170433559053736e-06,
|
1247 |
-
"loss": 0.0662,
|
1248 |
-
"step": 88500
|
1249 |
-
},
|
1250 |
-
{
|
1251 |
-
"epoch": 7.826928150558438,
|
1252 |
-
"grad_norm": 0.3058519959449768,
|
1253 |
-
"learning_rate": 2.173071849441562e-06,
|
1254 |
-
"loss": 0.0637,
|
1255 |
-
"step": 89000
|
1256 |
-
},
|
1257 |
-
{
|
1258 |
-
"epoch": 7.87089965702225,
|
1259 |
-
"grad_norm": 0.05084119364619255,
|
1260 |
-
"learning_rate": 2.1291003429777507e-06,
|
1261 |
-
"loss": 0.0676,
|
1262 |
-
"step": 89500
|
1263 |
-
},
|
1264 |
-
{
|
1265 |
-
"epoch": 7.914871163486061,
|
1266 |
-
"grad_norm": 0.23956036567687988,
|
1267 |
-
"learning_rate": 2.085128836513939e-06,
|
1268 |
-
"loss": 0.0818,
|
1269 |
-
"step": 90000
|
1270 |
-
},
|
1271 |
-
{
|
1272 |
-
"epoch": 7.958842669949872,
|
1273 |
-
"grad_norm": 15.964754104614258,
|
1274 |
-
"learning_rate": 2.041157330050128e-06,
|
1275 |
-
"loss": 0.076,
|
1276 |
-
"step": 90500
|
1277 |
-
},
|
1278 |
-
{
|
1279 |
-
"epoch": 8.002814176413684,
|
1280 |
-
"grad_norm": 1.4704182147979736,
|
1281 |
-
"learning_rate": 1.9971858235863163e-06,
|
1282 |
-
"loss": 0.0664,
|
1283 |
-
"step": 91000
|
1284 |
-
},
|
1285 |
-
{
|
1286 |
-
"epoch": 8.046785682877495,
|
1287 |
-
"grad_norm": 63.657440185546875,
|
1288 |
-
"learning_rate": 1.953214317122505e-06,
|
1289 |
-
"loss": 0.0583,
|
1290 |
-
"step": 91500
|
1291 |
-
},
|
1292 |
-
{
|
1293 |
-
"epoch": 8.090757189341307,
|
1294 |
-
"grad_norm": 8.421917915344238,
|
1295 |
-
"learning_rate": 1.9092428106586934e-06,
|
1296 |
-
"loss": 0.0613,
|
1297 |
-
"step": 92000
|
1298 |
-
},
|
1299 |
-
{
|
1300 |
-
"epoch": 8.134728695805117,
|
1301 |
-
"grad_norm": 0.17341230809688568,
|
1302 |
-
"learning_rate": 1.865271304194882e-06,
|
1303 |
-
"loss": 0.0554,
|
1304 |
-
"step": 92500
|
1305 |
-
},
|
1306 |
-
{
|
1307 |
-
"epoch": 8.17870020226893,
|
1308 |
-
"grad_norm": 0.09282279014587402,
|
1309 |
-
"learning_rate": 1.8212997977310704e-06,
|
1310 |
-
"loss": 0.0607,
|
1311 |
-
"step": 93000
|
1312 |
-
},
|
1313 |
-
{
|
1314 |
-
"epoch": 8.222671708732742,
|
1315 |
-
"grad_norm": 0.0653434619307518,
|
1316 |
-
"learning_rate": 1.777328291267259e-06,
|
1317 |
-
"loss": 0.058,
|
1318 |
-
"step": 93500
|
1319 |
-
},
|
1320 |
-
{
|
1321 |
-
"epoch": 8.266643215196552,
|
1322 |
-
"grad_norm": 20.4820556640625,
|
1323 |
-
"learning_rate": 1.7333567848034475e-06,
|
1324 |
-
"loss": 0.0564,
|
1325 |
-
"step": 94000
|
1326 |
-
},
|
1327 |
-
{
|
1328 |
-
"epoch": 8.310614721660365,
|
1329 |
-
"grad_norm": 2.014326333999634,
|
1330 |
-
"learning_rate": 1.6893852783396361e-06,
|
1331 |
-
"loss": 0.0589,
|
1332 |
-
"step": 94500
|
1333 |
-
},
|
1334 |
-
{
|
1335 |
-
"epoch": 8.354586228124175,
|
1336 |
-
"grad_norm": 0.2292569875717163,
|
1337 |
-
"learning_rate": 1.6454137718758245e-06,
|
1338 |
-
"loss": 0.0572,
|
1339 |
-
"step": 95000
|
1340 |
-
},
|
1341 |
-
{
|
1342 |
-
"epoch": 8.398557734587987,
|
1343 |
-
"grad_norm": 0.014584074728190899,
|
1344 |
-
"learning_rate": 1.6014422654120133e-06,
|
1345 |
-
"loss": 0.0497,
|
1346 |
-
"step": 95500
|
1347 |
-
},
|
1348 |
-
{
|
1349 |
-
"epoch": 8.442529241051798,
|
1350 |
-
"grad_norm": 30.090499877929688,
|
1351 |
-
"learning_rate": 1.5574707589482016e-06,
|
1352 |
-
"loss": 0.0609,
|
1353 |
-
"step": 96000
|
1354 |
-
},
|
1355 |
-
{
|
1356 |
-
"epoch": 8.48650074751561,
|
1357 |
-
"grad_norm": 0.038359276950359344,
|
1358 |
-
"learning_rate": 1.5134992524843902e-06,
|
1359 |
-
"loss": 0.0544,
|
1360 |
-
"step": 96500
|
1361 |
-
},
|
1362 |
-
{
|
1363 |
-
"epoch": 8.530472253979422,
|
1364 |
-
"grad_norm": 0.1624363213777542,
|
1365 |
-
"learning_rate": 1.4695277460205786e-06,
|
1366 |
-
"loss": 0.0578,
|
1367 |
-
"step": 97000
|
1368 |
-
},
|
1369 |
-
{
|
1370 |
-
"epoch": 8.574443760443232,
|
1371 |
-
"grad_norm": 0.23937764763832092,
|
1372 |
-
"learning_rate": 1.4255562395567674e-06,
|
1373 |
-
"loss": 0.058,
|
1374 |
-
"step": 97500
|
1375 |
-
},
|
1376 |
-
{
|
1377 |
-
"epoch": 8.618415266907045,
|
1378 |
-
"grad_norm": 0.08367595821619034,
|
1379 |
-
"learning_rate": 1.3815847330929558e-06,
|
1380 |
-
"loss": 0.0567,
|
1381 |
-
"step": 98000
|
1382 |
-
},
|
1383 |
-
{
|
1384 |
-
"epoch": 8.662386773370855,
|
1385 |
-
"grad_norm": 0.07520689815282822,
|
1386 |
-
"learning_rate": 1.3376132266291445e-06,
|
1387 |
-
"loss": 0.0507,
|
1388 |
-
"step": 98500
|
1389 |
-
},
|
1390 |
-
{
|
1391 |
-
"epoch": 8.706358279834667,
|
1392 |
-
"grad_norm": 0.20980244874954224,
|
1393 |
-
"learning_rate": 1.293641720165333e-06,
|
1394 |
-
"loss": 0.0621,
|
1395 |
-
"step": 99000
|
1396 |
-
},
|
1397 |
-
{
|
1398 |
-
"epoch": 8.75032978629848,
|
1399 |
-
"grad_norm": 2.3352205753326416,
|
1400 |
-
"learning_rate": 1.2496702137015215e-06,
|
1401 |
-
"loss": 0.053,
|
1402 |
-
"step": 99500
|
1403 |
-
},
|
1404 |
-
{
|
1405 |
-
"epoch": 8.79430129276229,
|
1406 |
-
"grad_norm": 0.1555749624967575,
|
1407 |
-
"learning_rate": 1.20569870723771e-06,
|
1408 |
-
"loss": 0.0572,
|
1409 |
-
"step": 100000
|
1410 |
-
},
|
1411 |
-
{
|
1412 |
-
"epoch": 8.838272799226102,
|
1413 |
-
"grad_norm": 17.412338256835938,
|
1414 |
-
"learning_rate": 1.1617272007738987e-06,
|
1415 |
-
"loss": 0.0562,
|
1416 |
-
"step": 100500
|
1417 |
-
},
|
1418 |
-
{
|
1419 |
-
"epoch": 8.882244305689913,
|
1420 |
-
"grad_norm": 0.07252756506204605,
|
1421 |
-
"learning_rate": 1.1177556943100872e-06,
|
1422 |
-
"loss": 0.0627,
|
1423 |
-
"step": 101000
|
1424 |
-
},
|
1425 |
-
{
|
1426 |
-
"epoch": 8.926215812153725,
|
1427 |
-
"grad_norm": 2.5696682929992676,
|
1428 |
-
"learning_rate": 1.0737841878462756e-06,
|
1429 |
-
"loss": 0.0593,
|
1430 |
-
"step": 101500
|
1431 |
-
},
|
1432 |
-
{
|
1433 |
-
"epoch": 8.970187318617535,
|
1434 |
-
"grad_norm": 38.372249603271484,
|
1435 |
-
"learning_rate": 1.0298126813824642e-06,
|
1436 |
-
"loss": 0.0533,
|
1437 |
-
"step": 102000
|
1438 |
-
},
|
1439 |
-
{
|
1440 |
-
"epoch": 9.014158825081347,
|
1441 |
-
"grad_norm": 0.0533902570605278,
|
1442 |
-
"learning_rate": 9.858411749186528e-07,
|
1443 |
-
"loss": 0.0542,
|
1444 |
-
"step": 102500
|
1445 |
-
},
|
1446 |
-
{
|
1447 |
-
"epoch": 9.05813033154516,
|
1448 |
-
"grad_norm": 1.9466789960861206,
|
1449 |
-
"learning_rate": 9.418696684548414e-07,
|
1450 |
-
"loss": 0.0524,
|
1451 |
-
"step": 103000
|
1452 |
-
},
|
1453 |
-
{
|
1454 |
-
"epoch": 9.10210183800897,
|
1455 |
-
"grad_norm": 38.15435791015625,
|
1456 |
-
"learning_rate": 8.978981619910298e-07,
|
1457 |
-
"loss": 0.0459,
|
1458 |
-
"step": 103500
|
1459 |
-
},
|
1460 |
-
{
|
1461 |
-
"epoch": 9.146073344472782,
|
1462 |
-
"grad_norm": 0.12077120691537857,
|
1463 |
-
"learning_rate": 8.539266555272184e-07,
|
1464 |
-
"loss": 0.0486,
|
1465 |
-
"step": 104000
|
1466 |
-
},
|
1467 |
-
{
|
1468 |
-
"epoch": 9.190044850936593,
|
1469 |
-
"grad_norm": 5.501252174377441,
|
1470 |
-
"learning_rate": 8.09955149063407e-07,
|
1471 |
-
"loss": 0.0491,
|
1472 |
-
"step": 104500
|
1473 |
-
},
|
1474 |
-
{
|
1475 |
-
"epoch": 9.234016357400405,
|
1476 |
-
"grad_norm": 0.05747182294726372,
|
1477 |
-
"learning_rate": 7.659836425995955e-07,
|
1478 |
-
"loss": 0.053,
|
1479 |
-
"step": 105000
|
1480 |
-
},
|
1481 |
-
{
|
1482 |
-
"epoch": 9.277987863864215,
|
1483 |
-
"grad_norm": 0.712147057056427,
|
1484 |
-
"learning_rate": 7.22012136135784e-07,
|
1485 |
-
"loss": 0.0612,
|
1486 |
-
"step": 105500
|
1487 |
-
},
|
1488 |
-
{
|
1489 |
-
"epoch": 9.321959370328027,
|
1490 |
-
"grad_norm": 79.47268676757812,
|
1491 |
-
"learning_rate": 6.780406296719725e-07,
|
1492 |
-
"loss": 0.0445,
|
1493 |
-
"step": 106000
|
1494 |
-
},
|
1495 |
-
{
|
1496 |
-
"epoch": 9.36593087679184,
|
1497 |
-
"grad_norm": 0.05525458604097366,
|
1498 |
-
"learning_rate": 6.340691232081611e-07,
|
1499 |
-
"loss": 0.0484,
|
1500 |
-
"step": 106500
|
1501 |
-
},
|
1502 |
-
{
|
1503 |
-
"epoch": 9.40990238325565,
|
1504 |
-
"grad_norm": 80.07630157470703,
|
1505 |
-
"learning_rate": 5.900976167443497e-07,
|
1506 |
-
"loss": 0.0486,
|
1507 |
-
"step": 107000
|
1508 |
-
},
|
1509 |
-
{
|
1510 |
-
"epoch": 9.453873889719462,
|
1511 |
-
"grad_norm": 31.79228973388672,
|
1512 |
-
"learning_rate": 5.461261102805383e-07,
|
1513 |
-
"loss": 0.0488,
|
1514 |
-
"step": 107500
|
1515 |
-
},
|
1516 |
-
{
|
1517 |
-
"epoch": 9.497845396183273,
|
1518 |
-
"grad_norm": 27.02912139892578,
|
1519 |
-
"learning_rate": 5.021546038167269e-07,
|
1520 |
-
"loss": 0.0533,
|
1521 |
-
"step": 108000
|
1522 |
-
},
|
1523 |
-
{
|
1524 |
-
"epoch": 9.541816902647085,
|
1525 |
-
"grad_norm": 0.05077936500310898,
|
1526 |
-
"learning_rate": 4.581830973529153e-07,
|
1527 |
-
"loss": 0.0485,
|
1528 |
-
"step": 108500
|
1529 |
-
},
|
1530 |
-
{
|
1531 |
-
"epoch": 9.585788409110895,
|
1532 |
-
"grad_norm": 0.13254009187221527,
|
1533 |
-
"learning_rate": 4.142115908891039e-07,
|
1534 |
-
"loss": 0.0475,
|
1535 |
-
"step": 109000
|
1536 |
-
},
|
1537 |
-
{
|
1538 |
-
"epoch": 9.629759915574708,
|
1539 |
-
"grad_norm": 4.606433391571045,
|
1540 |
-
"learning_rate": 3.7024008442529244e-07,
|
1541 |
-
"loss": 0.0465,
|
1542 |
-
"step": 109500
|
1543 |
-
},
|
1544 |
-
{
|
1545 |
-
"epoch": 9.67373142203852,
|
1546 |
-
"grad_norm": 12.37204647064209,
|
1547 |
-
"learning_rate": 3.2626857796148096e-07,
|
1548 |
-
"loss": 0.0431,
|
1549 |
-
"step": 110000
|
1550 |
-
},
|
1551 |
-
{
|
1552 |
-
"epoch": 9.71770292850233,
|
1553 |
-
"grad_norm": 68.52936553955078,
|
1554 |
-
"learning_rate": 2.8229707149766955e-07,
|
1555 |
-
"loss": 0.0498,
|
1556 |
-
"step": 110500
|
1557 |
-
},
|
1558 |
-
{
|
1559 |
-
"epoch": 9.761674434966142,
|
1560 |
-
"grad_norm": 11.432622909545898,
|
1561 |
-
"learning_rate": 2.3832556503385807e-07,
|
1562 |
-
"loss": 0.0512,
|
1563 |
-
"step": 111000
|
1564 |
-
},
|
1565 |
-
{
|
1566 |
-
"epoch": 9.805645941429953,
|
1567 |
-
"grad_norm": 0.3197621703147888,
|
1568 |
-
"learning_rate": 1.9435405857004663e-07,
|
1569 |
-
"loss": 0.0494,
|
1570 |
-
"step": 111500
|
1571 |
-
},
|
1572 |
-
{
|
1573 |
-
"epoch": 9.849617447893765,
|
1574 |
-
"grad_norm": 0.03288858011364937,
|
1575 |
-
"learning_rate": 1.5038255210623516e-07,
|
1576 |
-
"loss": 0.0504,
|
1577 |
-
"step": 112000
|
1578 |
-
},
|
1579 |
-
{
|
1580 |
-
"epoch": 9.893588954357575,
|
1581 |
-
"grad_norm": 0.5140511989593506,
|
1582 |
-
"learning_rate": 1.0641104564242372e-07,
|
1583 |
-
"loss": 0.0476,
|
1584 |
-
"step": 112500
|
1585 |
-
},
|
1586 |
-
{
|
1587 |
-
"epoch": 9.937560460821388,
|
1588 |
-
"grad_norm": 0.2467552274465561,
|
1589 |
-
"learning_rate": 6.243953917861227e-08,
|
1590 |
-
"loss": 0.0484,
|
1591 |
-
"step": 113000
|
1592 |
-
},
|
1593 |
-
{
|
1594 |
-
"epoch": 9.9815319672852,
|
1595 |
-
"grad_norm": 9.55329418182373,
|
1596 |
-
"learning_rate": 1.846803271480081e-08,
|
1597 |
-
"loss": 0.0474,
|
1598 |
-
"step": 113500
|
1599 |
-
},
|
1600 |
-
{
|
1601 |
-
"epoch": 10.0,
|
1602 |
-
"step": 113710,
|
1603 |
-
"total_flos": 2.4428070234989568e+17,
|
1604 |
-
"train_loss": 0.1514742186763295,
|
1605 |
-
"train_runtime": 20029.6511,
|
1606 |
-
"train_samples_per_second": 181.654,
|
1607 |
-
"train_steps_per_second": 5.677
|
1608 |
-
}
|
1609 |
-
],
|
1610 |
-
"logging_steps": 500,
|
1611 |
-
"max_steps": 113710,
|
1612 |
-
"num_input_tokens_seen": 0,
|
1613 |
-
"num_train_epochs": 10,
|
1614 |
-
"save_steps": 500,
|
1615 |
-
"stateful_callbacks": {
|
1616 |
-
"TrainerControl": {
|
1617 |
-
"args": {
|
1618 |
-
"should_epoch_stop": false,
|
1619 |
-
"should_evaluate": false,
|
1620 |
-
"should_log": false,
|
1621 |
-
"should_save": true,
|
1622 |
-
"should_training_stop": true
|
1623 |
-
},
|
1624 |
-
"attributes": {}
|
1625 |
-
}
|
1626 |
-
},
|
1627 |
-
"total_flos": 2.4428070234989568e+17,
|
1628 |
-
"train_batch_size": 32,
|
1629 |
-
"trial_name": null,
|
1630 |
-
"trial_params": null
|
1631 |
-
}
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
qqp/training_args.bin
DELETED
@@ -1,3 +0,0 @@
|
|
1 |
-
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:a261d42e7036391510c8a43a896afac531bf5570083d0797565a66d0a5033ea2
|
3 |
-
size 5304
|
|
|
|
|
|
|
|
qqp/vocab.txt
DELETED
The diff for this file is too large to render.
See raw diff
|
|