Upload folder using huggingface_hub
Browse files- README.md +27 -0
- checkpoint-3462/config.json +34 -0
- checkpoint-3462/model.safetensors +3 -0
- checkpoint-3462/optimizer.pt +3 -0
- checkpoint-3462/rng_state.pth +3 -0
- checkpoint-3462/scheduler.pt +3 -0
- checkpoint-3462/trainer_state.json +1013 -0
- checkpoint-3462/training_args.bin +3 -0
- config.json +34 -0
- model.safetensors +3 -0
- runs/Apr30_11-09-01_r-abhishek-autotrain-cbd6adsx-4a7db-kjsdj/events.out.tfevents.1714475341.r-abhishek-autotrain-cbd6adsx-4a7db-kjsdj.150.0 +2 -2
- runs/Apr30_11-09-01_r-abhishek-autotrain-cbd6adsx-4a7db-kjsdj/events.out.tfevents.1714476294.r-abhishek-autotrain-cbd6adsx-4a7db-kjsdj.150.1 +3 -0
- special_tokens_map.json +7 -0
- tokenizer.json +0 -0
- tokenizer_config.json +55 -0
- training_args.bin +3 -0
- training_params.json +28 -0
- vocab.txt +0 -0
README.md
ADDED
@@ -0,0 +1,27 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
|
2 |
+
---
|
3 |
+
tags:
|
4 |
+
- autotrain
|
5 |
+
- text-regression
|
6 |
+
widget:
|
7 |
+
- text: "I love AutoTrain"
|
8 |
+
datasets:
|
9 |
+
- autotrain-99xmg-r4pqr/autotrain-data
|
10 |
+
---
|
11 |
+
|
12 |
+
# Model Trained Using AutoTrain
|
13 |
+
|
14 |
+
- Problem type: Text Regression
|
15 |
+
|
16 |
+
## Validation Metrics
|
17 |
+
loss: 0.34081029891967773
|
18 |
+
|
19 |
+
mse: 0.3408103287220001
|
20 |
+
|
21 |
+
mae: 0.4530330300331116
|
22 |
+
|
23 |
+
r2: 0.6911017288906998
|
24 |
+
|
25 |
+
rmse: 0.5837896466255188
|
26 |
+
|
27 |
+
explained_variance: 0.6929686665534973
|
checkpoint-3462/config.json
ADDED
@@ -0,0 +1,34 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "google-bert/bert-base-uncased",
|
3 |
+
"_num_labels": 1,
|
4 |
+
"architectures": [
|
5 |
+
"BertForSequenceClassification"
|
6 |
+
],
|
7 |
+
"attention_probs_dropout_prob": 0.1,
|
8 |
+
"classifier_dropout": null,
|
9 |
+
"gradient_checkpointing": false,
|
10 |
+
"hidden_act": "gelu",
|
11 |
+
"hidden_dropout_prob": 0.1,
|
12 |
+
"hidden_size": 768,
|
13 |
+
"id2label": {
|
14 |
+
"0": "target"
|
15 |
+
},
|
16 |
+
"initializer_range": 0.02,
|
17 |
+
"intermediate_size": 3072,
|
18 |
+
"label2id": {
|
19 |
+
"target": 0
|
20 |
+
},
|
21 |
+
"layer_norm_eps": 1e-12,
|
22 |
+
"max_position_embeddings": 512,
|
23 |
+
"model_type": "bert",
|
24 |
+
"num_attention_heads": 12,
|
25 |
+
"num_hidden_layers": 12,
|
26 |
+
"pad_token_id": 0,
|
27 |
+
"position_embedding_type": "absolute",
|
28 |
+
"problem_type": "regression",
|
29 |
+
"torch_dtype": "float32",
|
30 |
+
"transformers_version": "4.40.1",
|
31 |
+
"type_vocab_size": 2,
|
32 |
+
"use_cache": true,
|
33 |
+
"vocab_size": 30522
|
34 |
+
}
|
checkpoint-3462/model.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:f1cf357382ee41f38190a8ca66e1f4a0c816d0b3701854f3d2302ba19008693f
|
3 |
+
size 437955572
|
checkpoint-3462/optimizer.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:ad2b9351b6f2fb519c4c46c83d5f426c583e7735d52cd8de23c784b5ab5abd40
|
3 |
+
size 876032250
|
checkpoint-3462/rng_state.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:f5ffdbd255c3df6d107cf1e3a717edf3894da4da60169af398fe37318f89aebf
|
3 |
+
size 14244
|
checkpoint-3462/scheduler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:e7452fd8ce30d6700fbd23005f34b9d0b89bca167b9b1accf8cd27329d9fcf98
|
3 |
+
size 1064
|
checkpoint-3462/trainer_state.json
ADDED
@@ -0,0 +1,1013 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": 0.34081029891967773,
|
3 |
+
"best_model_checkpoint": "autotrain-99xmg-r4pqr/checkpoint-3462",
|
4 |
+
"epoch": 2.0,
|
5 |
+
"eval_steps": 500,
|
6 |
+
"global_step": 3462,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.014442518775274409,
|
13 |
+
"grad_norm": 109.87998962402344,
|
14 |
+
"learning_rate": 2.0192307692307692e-06,
|
15 |
+
"loss": 6.024,
|
16 |
+
"step": 25
|
17 |
+
},
|
18 |
+
{
|
19 |
+
"epoch": 0.028885037550548817,
|
20 |
+
"grad_norm": 42.21332550048828,
|
21 |
+
"learning_rate": 4.423076923076924e-06,
|
22 |
+
"loss": 4.159,
|
23 |
+
"step": 50
|
24 |
+
},
|
25 |
+
{
|
26 |
+
"epoch": 0.043327556325823226,
|
27 |
+
"grad_norm": 73.7143325805664,
|
28 |
+
"learning_rate": 6.826923076923076e-06,
|
29 |
+
"loss": 1.5598,
|
30 |
+
"step": 75
|
31 |
+
},
|
32 |
+
{
|
33 |
+
"epoch": 0.057770075101097634,
|
34 |
+
"grad_norm": 22.827505111694336,
|
35 |
+
"learning_rate": 9.230769230769232e-06,
|
36 |
+
"loss": 1.0843,
|
37 |
+
"step": 100
|
38 |
+
},
|
39 |
+
{
|
40 |
+
"epoch": 0.07221259387637204,
|
41 |
+
"grad_norm": 10.978221893310547,
|
42 |
+
"learning_rate": 1.1634615384615386e-05,
|
43 |
+
"loss": 0.8028,
|
44 |
+
"step": 125
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 0.08665511265164645,
|
48 |
+
"grad_norm": 18.381181716918945,
|
49 |
+
"learning_rate": 1.403846153846154e-05,
|
50 |
+
"loss": 0.5757,
|
51 |
+
"step": 150
|
52 |
+
},
|
53 |
+
{
|
54 |
+
"epoch": 0.10109763142692085,
|
55 |
+
"grad_norm": 26.028202056884766,
|
56 |
+
"learning_rate": 1.6442307692307695e-05,
|
57 |
+
"loss": 0.5391,
|
58 |
+
"step": 175
|
59 |
+
},
|
60 |
+
{
|
61 |
+
"epoch": 0.11554015020219527,
|
62 |
+
"grad_norm": 11.943533897399902,
|
63 |
+
"learning_rate": 1.8846153846153846e-05,
|
64 |
+
"loss": 0.7264,
|
65 |
+
"step": 200
|
66 |
+
},
|
67 |
+
{
|
68 |
+
"epoch": 0.12998266897746968,
|
69 |
+
"grad_norm": 27.598697662353516,
|
70 |
+
"learning_rate": 2.125e-05,
|
71 |
+
"loss": 0.5976,
|
72 |
+
"step": 225
|
73 |
+
},
|
74 |
+
{
|
75 |
+
"epoch": 0.14442518775274407,
|
76 |
+
"grad_norm": 2.4630095958709717,
|
77 |
+
"learning_rate": 2.3653846153846153e-05,
|
78 |
+
"loss": 0.436,
|
79 |
+
"step": 250
|
80 |
+
},
|
81 |
+
{
|
82 |
+
"epoch": 0.1588677065280185,
|
83 |
+
"grad_norm": 24.022457122802734,
|
84 |
+
"learning_rate": 2.6057692307692312e-05,
|
85 |
+
"loss": 0.7163,
|
86 |
+
"step": 275
|
87 |
+
},
|
88 |
+
{
|
89 |
+
"epoch": 0.1733102253032929,
|
90 |
+
"grad_norm": 9.978269577026367,
|
91 |
+
"learning_rate": 2.846153846153846e-05,
|
92 |
+
"loss": 0.6614,
|
93 |
+
"step": 300
|
94 |
+
},
|
95 |
+
{
|
96 |
+
"epoch": 0.1877527440785673,
|
97 |
+
"grad_norm": 23.359638214111328,
|
98 |
+
"learning_rate": 3.0865384615384616e-05,
|
99 |
+
"loss": 0.6557,
|
100 |
+
"step": 325
|
101 |
+
},
|
102 |
+
{
|
103 |
+
"epoch": 0.2021952628538417,
|
104 |
+
"grad_norm": 22.752307891845703,
|
105 |
+
"learning_rate": 3.326923076923077e-05,
|
106 |
+
"loss": 0.6954,
|
107 |
+
"step": 350
|
108 |
+
},
|
109 |
+
{
|
110 |
+
"epoch": 0.21663778162911612,
|
111 |
+
"grad_norm": 4.690310001373291,
|
112 |
+
"learning_rate": 3.5673076923076926e-05,
|
113 |
+
"loss": 0.7825,
|
114 |
+
"step": 375
|
115 |
+
},
|
116 |
+
{
|
117 |
+
"epoch": 0.23108030040439054,
|
118 |
+
"grad_norm": 20.00984764099121,
|
119 |
+
"learning_rate": 3.807692307692308e-05,
|
120 |
+
"loss": 0.836,
|
121 |
+
"step": 400
|
122 |
+
},
|
123 |
+
{
|
124 |
+
"epoch": 0.24552281917966493,
|
125 |
+
"grad_norm": 25.91275978088379,
|
126 |
+
"learning_rate": 4.0480769230769236e-05,
|
127 |
+
"loss": 0.569,
|
128 |
+
"step": 425
|
129 |
+
},
|
130 |
+
{
|
131 |
+
"epoch": 0.25996533795493937,
|
132 |
+
"grad_norm": 15.184056282043457,
|
133 |
+
"learning_rate": 4.288461538461538e-05,
|
134 |
+
"loss": 0.6616,
|
135 |
+
"step": 450
|
136 |
+
},
|
137 |
+
{
|
138 |
+
"epoch": 0.27440785673021373,
|
139 |
+
"grad_norm": 4.631957530975342,
|
140 |
+
"learning_rate": 4.528846153846154e-05,
|
141 |
+
"loss": 0.5425,
|
142 |
+
"step": 475
|
143 |
+
},
|
144 |
+
{
|
145 |
+
"epoch": 0.28885037550548814,
|
146 |
+
"grad_norm": 6.141411781311035,
|
147 |
+
"learning_rate": 4.76923076923077e-05,
|
148 |
+
"loss": 0.5024,
|
149 |
+
"step": 500
|
150 |
+
},
|
151 |
+
{
|
152 |
+
"epoch": 0.30329289428076256,
|
153 |
+
"grad_norm": 4.359855651855469,
|
154 |
+
"learning_rate": 4.9989300235394826e-05,
|
155 |
+
"loss": 0.603,
|
156 |
+
"step": 525
|
157 |
+
},
|
158 |
+
{
|
159 |
+
"epoch": 0.317735413056037,
|
160 |
+
"grad_norm": 10.599994659423828,
|
161 |
+
"learning_rate": 4.9721806120265355e-05,
|
162 |
+
"loss": 0.5994,
|
163 |
+
"step": 550
|
164 |
+
},
|
165 |
+
{
|
166 |
+
"epoch": 0.3321779318313114,
|
167 |
+
"grad_norm": 44.90914535522461,
|
168 |
+
"learning_rate": 4.945431200513589e-05,
|
169 |
+
"loss": 0.8399,
|
170 |
+
"step": 575
|
171 |
+
},
|
172 |
+
{
|
173 |
+
"epoch": 0.3466204506065858,
|
174 |
+
"grad_norm": 5.233628273010254,
|
175 |
+
"learning_rate": 4.918681789000642e-05,
|
176 |
+
"loss": 0.5791,
|
177 |
+
"step": 600
|
178 |
+
},
|
179 |
+
{
|
180 |
+
"epoch": 0.3610629693818602,
|
181 |
+
"grad_norm": 21.001466751098633,
|
182 |
+
"learning_rate": 4.8919323774876955e-05,
|
183 |
+
"loss": 0.6869,
|
184 |
+
"step": 625
|
185 |
+
},
|
186 |
+
{
|
187 |
+
"epoch": 0.3755054881571346,
|
188 |
+
"grad_norm": 17.496326446533203,
|
189 |
+
"learning_rate": 4.865182965974749e-05,
|
190 |
+
"loss": 0.5309,
|
191 |
+
"step": 650
|
192 |
+
},
|
193 |
+
{
|
194 |
+
"epoch": 0.389948006932409,
|
195 |
+
"grad_norm": 16.32991600036621,
|
196 |
+
"learning_rate": 4.838433554461802e-05,
|
197 |
+
"loss": 0.7183,
|
198 |
+
"step": 675
|
199 |
+
},
|
200 |
+
{
|
201 |
+
"epoch": 0.4043905257076834,
|
202 |
+
"grad_norm": 7.430429935455322,
|
203 |
+
"learning_rate": 4.811684142948855e-05,
|
204 |
+
"loss": 0.3932,
|
205 |
+
"step": 700
|
206 |
+
},
|
207 |
+
{
|
208 |
+
"epoch": 0.41883304448295783,
|
209 |
+
"grad_norm": 7.165083885192871,
|
210 |
+
"learning_rate": 4.784934731435909e-05,
|
211 |
+
"loss": 0.5113,
|
212 |
+
"step": 725
|
213 |
+
},
|
214 |
+
{
|
215 |
+
"epoch": 0.43327556325823224,
|
216 |
+
"grad_norm": 10.602783203125,
|
217 |
+
"learning_rate": 4.758185319922962e-05,
|
218 |
+
"loss": 0.5259,
|
219 |
+
"step": 750
|
220 |
+
},
|
221 |
+
{
|
222 |
+
"epoch": 0.44771808203350666,
|
223 |
+
"grad_norm": 22.993024826049805,
|
224 |
+
"learning_rate": 4.731435908410015e-05,
|
225 |
+
"loss": 0.678,
|
226 |
+
"step": 775
|
227 |
+
},
|
228 |
+
{
|
229 |
+
"epoch": 0.4621606008087811,
|
230 |
+
"grad_norm": 17.77105712890625,
|
231 |
+
"learning_rate": 4.7046864968970685e-05,
|
232 |
+
"loss": 0.6262,
|
233 |
+
"step": 800
|
234 |
+
},
|
235 |
+
{
|
236 |
+
"epoch": 0.47660311958405543,
|
237 |
+
"grad_norm": 6.010850429534912,
|
238 |
+
"learning_rate": 4.677937085384122e-05,
|
239 |
+
"loss": 0.5537,
|
240 |
+
"step": 825
|
241 |
+
},
|
242 |
+
{
|
243 |
+
"epoch": 0.49104563835932985,
|
244 |
+
"grad_norm": 10.288942337036133,
|
245 |
+
"learning_rate": 4.651187673871175e-05,
|
246 |
+
"loss": 0.5963,
|
247 |
+
"step": 850
|
248 |
+
},
|
249 |
+
{
|
250 |
+
"epoch": 0.5054881571346043,
|
251 |
+
"grad_norm": 20.071813583374023,
|
252 |
+
"learning_rate": 4.6244382623582286e-05,
|
253 |
+
"loss": 0.5735,
|
254 |
+
"step": 875
|
255 |
+
},
|
256 |
+
{
|
257 |
+
"epoch": 0.5199306759098787,
|
258 |
+
"grad_norm": 5.898088455200195,
|
259 |
+
"learning_rate": 4.5976888508452815e-05,
|
260 |
+
"loss": 0.4843,
|
261 |
+
"step": 900
|
262 |
+
},
|
263 |
+
{
|
264 |
+
"epoch": 0.5343731946851531,
|
265 |
+
"grad_norm": 3.5588929653167725,
|
266 |
+
"learning_rate": 4.570939439332335e-05,
|
267 |
+
"loss": 0.4247,
|
268 |
+
"step": 925
|
269 |
+
},
|
270 |
+
{
|
271 |
+
"epoch": 0.5488157134604275,
|
272 |
+
"grad_norm": 37.71608352661133,
|
273 |
+
"learning_rate": 4.544190027819388e-05,
|
274 |
+
"loss": 0.6862,
|
275 |
+
"step": 950
|
276 |
+
},
|
277 |
+
{
|
278 |
+
"epoch": 0.5632582322357019,
|
279 |
+
"grad_norm": 11.169629096984863,
|
280 |
+
"learning_rate": 4.5174406163064415e-05,
|
281 |
+
"loss": 0.5932,
|
282 |
+
"step": 975
|
283 |
+
},
|
284 |
+
{
|
285 |
+
"epoch": 0.5777007510109763,
|
286 |
+
"grad_norm": 6.53275203704834,
|
287 |
+
"learning_rate": 4.4906912047934944e-05,
|
288 |
+
"loss": 0.5161,
|
289 |
+
"step": 1000
|
290 |
+
},
|
291 |
+
{
|
292 |
+
"epoch": 0.5921432697862508,
|
293 |
+
"grad_norm": 21.197736740112305,
|
294 |
+
"learning_rate": 4.463941793280548e-05,
|
295 |
+
"loss": 0.4312,
|
296 |
+
"step": 1025
|
297 |
+
},
|
298 |
+
{
|
299 |
+
"epoch": 0.6065857885615251,
|
300 |
+
"grad_norm": 16.153993606567383,
|
301 |
+
"learning_rate": 4.4371923817676016e-05,
|
302 |
+
"loss": 0.438,
|
303 |
+
"step": 1050
|
304 |
+
},
|
305 |
+
{
|
306 |
+
"epoch": 0.6210283073367996,
|
307 |
+
"grad_norm": 21.46822166442871,
|
308 |
+
"learning_rate": 4.4104429702546545e-05,
|
309 |
+
"loss": 0.4343,
|
310 |
+
"step": 1075
|
311 |
+
},
|
312 |
+
{
|
313 |
+
"epoch": 0.635470826112074,
|
314 |
+
"grad_norm": 18.194324493408203,
|
315 |
+
"learning_rate": 4.3836935587417074e-05,
|
316 |
+
"loss": 0.4935,
|
317 |
+
"step": 1100
|
318 |
+
},
|
319 |
+
{
|
320 |
+
"epoch": 0.6499133448873483,
|
321 |
+
"grad_norm": 11.8253173828125,
|
322 |
+
"learning_rate": 4.3569441472287616e-05,
|
323 |
+
"loss": 0.509,
|
324 |
+
"step": 1125
|
325 |
+
},
|
326 |
+
{
|
327 |
+
"epoch": 0.6643558636626228,
|
328 |
+
"grad_norm": 22.477100372314453,
|
329 |
+
"learning_rate": 4.3301947357158145e-05,
|
330 |
+
"loss": 0.3698,
|
331 |
+
"step": 1150
|
332 |
+
},
|
333 |
+
{
|
334 |
+
"epoch": 0.6787983824378971,
|
335 |
+
"grad_norm": 10.39338493347168,
|
336 |
+
"learning_rate": 4.3034453242028674e-05,
|
337 |
+
"loss": 0.4084,
|
338 |
+
"step": 1175
|
339 |
+
},
|
340 |
+
{
|
341 |
+
"epoch": 0.6932409012131716,
|
342 |
+
"grad_norm": 4.328056335449219,
|
343 |
+
"learning_rate": 4.276695912689921e-05,
|
344 |
+
"loss": 0.4137,
|
345 |
+
"step": 1200
|
346 |
+
},
|
347 |
+
{
|
348 |
+
"epoch": 0.707683419988446,
|
349 |
+
"grad_norm": 7.7573628425598145,
|
350 |
+
"learning_rate": 4.2499465011769746e-05,
|
351 |
+
"loss": 0.4974,
|
352 |
+
"step": 1225
|
353 |
+
},
|
354 |
+
{
|
355 |
+
"epoch": 0.7221259387637204,
|
356 |
+
"grad_norm": 27.289525985717773,
|
357 |
+
"learning_rate": 4.2231970896640275e-05,
|
358 |
+
"loss": 0.4999,
|
359 |
+
"step": 1250
|
360 |
+
},
|
361 |
+
{
|
362 |
+
"epoch": 0.7365684575389948,
|
363 |
+
"grad_norm": 9.000728607177734,
|
364 |
+
"learning_rate": 4.196447678151081e-05,
|
365 |
+
"loss": 0.4854,
|
366 |
+
"step": 1275
|
367 |
+
},
|
368 |
+
{
|
369 |
+
"epoch": 0.7510109763142692,
|
370 |
+
"grad_norm": 9.249234199523926,
|
371 |
+
"learning_rate": 4.169698266638134e-05,
|
372 |
+
"loss": 0.43,
|
373 |
+
"step": 1300
|
374 |
+
},
|
375 |
+
{
|
376 |
+
"epoch": 0.7654534950895436,
|
377 |
+
"grad_norm": 10.179132461547852,
|
378 |
+
"learning_rate": 4.1429488551251875e-05,
|
379 |
+
"loss": 0.3916,
|
380 |
+
"step": 1325
|
381 |
+
},
|
382 |
+
{
|
383 |
+
"epoch": 0.779896013864818,
|
384 |
+
"grad_norm": 8.030287742614746,
|
385 |
+
"learning_rate": 4.116199443612241e-05,
|
386 |
+
"loss": 0.5957,
|
387 |
+
"step": 1350
|
388 |
+
},
|
389 |
+
{
|
390 |
+
"epoch": 0.7943385326400925,
|
391 |
+
"grad_norm": 10.439188003540039,
|
392 |
+
"learning_rate": 4.089450032099294e-05,
|
393 |
+
"loss": 0.3744,
|
394 |
+
"step": 1375
|
395 |
+
},
|
396 |
+
{
|
397 |
+
"epoch": 0.8087810514153668,
|
398 |
+
"grad_norm": 14.759039878845215,
|
399 |
+
"learning_rate": 4.062700620586347e-05,
|
400 |
+
"loss": 0.406,
|
401 |
+
"step": 1400
|
402 |
+
},
|
403 |
+
{
|
404 |
+
"epoch": 0.8232235701906413,
|
405 |
+
"grad_norm": 5.672801494598389,
|
406 |
+
"learning_rate": 4.035951209073401e-05,
|
407 |
+
"loss": 0.5122,
|
408 |
+
"step": 1425
|
409 |
+
},
|
410 |
+
{
|
411 |
+
"epoch": 0.8376660889659157,
|
412 |
+
"grad_norm": 5.283393383026123,
|
413 |
+
"learning_rate": 4.009201797560454e-05,
|
414 |
+
"loss": 0.3474,
|
415 |
+
"step": 1450
|
416 |
+
},
|
417 |
+
{
|
418 |
+
"epoch": 0.85210860774119,
|
419 |
+
"grad_norm": 4.710180282592773,
|
420 |
+
"learning_rate": 3.982452386047507e-05,
|
421 |
+
"loss": 0.4959,
|
422 |
+
"step": 1475
|
423 |
+
},
|
424 |
+
{
|
425 |
+
"epoch": 0.8665511265164645,
|
426 |
+
"grad_norm": 13.148910522460938,
|
427 |
+
"learning_rate": 3.9557029745345605e-05,
|
428 |
+
"loss": 0.4234,
|
429 |
+
"step": 1500
|
430 |
+
},
|
431 |
+
{
|
432 |
+
"epoch": 0.8809936452917388,
|
433 |
+
"grad_norm": 2.738633155822754,
|
434 |
+
"learning_rate": 3.9289535630216134e-05,
|
435 |
+
"loss": 0.4548,
|
436 |
+
"step": 1525
|
437 |
+
},
|
438 |
+
{
|
439 |
+
"epoch": 0.8954361640670133,
|
440 |
+
"grad_norm": 5.08731746673584,
|
441 |
+
"learning_rate": 3.902204151508667e-05,
|
442 |
+
"loss": 0.486,
|
443 |
+
"step": 1550
|
444 |
+
},
|
445 |
+
{
|
446 |
+
"epoch": 0.9098786828422877,
|
447 |
+
"grad_norm": 16.38525390625,
|
448 |
+
"learning_rate": 3.8754547399957206e-05,
|
449 |
+
"loss": 0.4189,
|
450 |
+
"step": 1575
|
451 |
+
},
|
452 |
+
{
|
453 |
+
"epoch": 0.9243212016175621,
|
454 |
+
"grad_norm": 8.546934127807617,
|
455 |
+
"learning_rate": 3.8487053284827735e-05,
|
456 |
+
"loss": 0.4164,
|
457 |
+
"step": 1600
|
458 |
+
},
|
459 |
+
{
|
460 |
+
"epoch": 0.9387637203928365,
|
461 |
+
"grad_norm": 16.895854949951172,
|
462 |
+
"learning_rate": 3.8219559169698264e-05,
|
463 |
+
"loss": 0.5782,
|
464 |
+
"step": 1625
|
465 |
+
},
|
466 |
+
{
|
467 |
+
"epoch": 0.9532062391681109,
|
468 |
+
"grad_norm": 18.25130271911621,
|
469 |
+
"learning_rate": 3.79520650545688e-05,
|
470 |
+
"loss": 0.3899,
|
471 |
+
"step": 1650
|
472 |
+
},
|
473 |
+
{
|
474 |
+
"epoch": 0.9676487579433853,
|
475 |
+
"grad_norm": 8.933642387390137,
|
476 |
+
"learning_rate": 3.7684570939439335e-05,
|
477 |
+
"loss": 0.4484,
|
478 |
+
"step": 1675
|
479 |
+
},
|
480 |
+
{
|
481 |
+
"epoch": 0.9820912767186597,
|
482 |
+
"grad_norm": 2.895547389984131,
|
483 |
+
"learning_rate": 3.7417076824309864e-05,
|
484 |
+
"loss": 0.3807,
|
485 |
+
"step": 1700
|
486 |
+
},
|
487 |
+
{
|
488 |
+
"epoch": 0.9965337954939342,
|
489 |
+
"grad_norm": 6.855337619781494,
|
490 |
+
"learning_rate": 3.71495827091804e-05,
|
491 |
+
"loss": 0.5451,
|
492 |
+
"step": 1725
|
493 |
+
},
|
494 |
+
{
|
495 |
+
"epoch": 1.0,
|
496 |
+
"eval_explained_variance": 0.642084002494812,
|
497 |
+
"eval_loss": 0.4517485201358795,
|
498 |
+
"eval_mae": 0.5261725783348083,
|
499 |
+
"eval_mse": 0.4517485201358795,
|
500 |
+
"eval_r2": 0.590551334956607,
|
501 |
+
"eval_rmse": 0.6721224188804626,
|
502 |
+
"eval_runtime": 22.0997,
|
503 |
+
"eval_samples_per_second": 156.654,
|
504 |
+
"eval_steps_per_second": 9.819,
|
505 |
+
"step": 1731
|
506 |
+
},
|
507 |
+
{
|
508 |
+
"epoch": 1.0109763142692085,
|
509 |
+
"grad_norm": 20.85631561279297,
|
510 |
+
"learning_rate": 3.6882088594050936e-05,
|
511 |
+
"loss": 0.4845,
|
512 |
+
"step": 1750
|
513 |
+
},
|
514 |
+
{
|
515 |
+
"epoch": 1.025418833044483,
|
516 |
+
"grad_norm": 14.387726783752441,
|
517 |
+
"learning_rate": 3.6614594478921465e-05,
|
518 |
+
"loss": 0.3949,
|
519 |
+
"step": 1775
|
520 |
+
},
|
521 |
+
{
|
522 |
+
"epoch": 1.0398613518197575,
|
523 |
+
"grad_norm": 12.336610794067383,
|
524 |
+
"learning_rate": 3.6347100363791994e-05,
|
525 |
+
"loss": 0.3903,
|
526 |
+
"step": 1800
|
527 |
+
},
|
528 |
+
{
|
529 |
+
"epoch": 1.0543038705950318,
|
530 |
+
"grad_norm": 12.857579231262207,
|
531 |
+
"learning_rate": 3.607960624866253e-05,
|
532 |
+
"loss": 0.3625,
|
533 |
+
"step": 1825
|
534 |
+
},
|
535 |
+
{
|
536 |
+
"epoch": 1.0687463893703062,
|
537 |
+
"grad_norm": 3.4398610591888428,
|
538 |
+
"learning_rate": 3.5812112133533065e-05,
|
539 |
+
"loss": 0.3276,
|
540 |
+
"step": 1850
|
541 |
+
},
|
542 |
+
{
|
543 |
+
"epoch": 1.0831889081455806,
|
544 |
+
"grad_norm": 18.700855255126953,
|
545 |
+
"learning_rate": 3.5544618018403594e-05,
|
546 |
+
"loss": 0.4301,
|
547 |
+
"step": 1875
|
548 |
+
},
|
549 |
+
{
|
550 |
+
"epoch": 1.097631426920855,
|
551 |
+
"grad_norm": 3.7766644954681396,
|
552 |
+
"learning_rate": 3.527712390327413e-05,
|
553 |
+
"loss": 0.3571,
|
554 |
+
"step": 1900
|
555 |
+
},
|
556 |
+
{
|
557 |
+
"epoch": 1.1120739456961295,
|
558 |
+
"grad_norm": 13.447446823120117,
|
559 |
+
"learning_rate": 3.500962978814466e-05,
|
560 |
+
"loss": 0.3691,
|
561 |
+
"step": 1925
|
562 |
+
},
|
563 |
+
{
|
564 |
+
"epoch": 1.1265164644714039,
|
565 |
+
"grad_norm": 6.039691925048828,
|
566 |
+
"learning_rate": 3.4742135673015195e-05,
|
567 |
+
"loss": 0.3966,
|
568 |
+
"step": 1950
|
569 |
+
},
|
570 |
+
{
|
571 |
+
"epoch": 1.1409589832466782,
|
572 |
+
"grad_norm": 9.641484260559082,
|
573 |
+
"learning_rate": 3.447464155788573e-05,
|
574 |
+
"loss": 0.4171,
|
575 |
+
"step": 1975
|
576 |
+
},
|
577 |
+
{
|
578 |
+
"epoch": 1.1554015020219526,
|
579 |
+
"grad_norm": 8.735544204711914,
|
580 |
+
"learning_rate": 3.420714744275626e-05,
|
581 |
+
"loss": 0.4154,
|
582 |
+
"step": 2000
|
583 |
+
},
|
584 |
+
{
|
585 |
+
"epoch": 1.169844020797227,
|
586 |
+
"grad_norm": 10.355854034423828,
|
587 |
+
"learning_rate": 3.393965332762679e-05,
|
588 |
+
"loss": 0.3968,
|
589 |
+
"step": 2025
|
590 |
+
},
|
591 |
+
{
|
592 |
+
"epoch": 1.1842865395725015,
|
593 |
+
"grad_norm": 10.740571022033691,
|
594 |
+
"learning_rate": 3.367215921249733e-05,
|
595 |
+
"loss": 0.343,
|
596 |
+
"step": 2050
|
597 |
+
},
|
598 |
+
{
|
599 |
+
"epoch": 1.1987290583477759,
|
600 |
+
"grad_norm": 3.9777560234069824,
|
601 |
+
"learning_rate": 3.340466509736786e-05,
|
602 |
+
"loss": 0.3848,
|
603 |
+
"step": 2075
|
604 |
+
},
|
605 |
+
{
|
606 |
+
"epoch": 1.2131715771230502,
|
607 |
+
"grad_norm": 8.958410263061523,
|
608 |
+
"learning_rate": 3.313717098223839e-05,
|
609 |
+
"loss": 0.4381,
|
610 |
+
"step": 2100
|
611 |
+
},
|
612 |
+
{
|
613 |
+
"epoch": 1.2276140958983246,
|
614 |
+
"grad_norm": 7.341928005218506,
|
615 |
+
"learning_rate": 3.2869676867108925e-05,
|
616 |
+
"loss": 0.4134,
|
617 |
+
"step": 2125
|
618 |
+
},
|
619 |
+
{
|
620 |
+
"epoch": 1.242056614673599,
|
621 |
+
"grad_norm": 8.02366828918457,
|
622 |
+
"learning_rate": 3.260218275197946e-05,
|
623 |
+
"loss": 0.4799,
|
624 |
+
"step": 2150
|
625 |
+
},
|
626 |
+
{
|
627 |
+
"epoch": 1.2564991334488735,
|
628 |
+
"grad_norm": 5.73162841796875,
|
629 |
+
"learning_rate": 3.233468863684999e-05,
|
630 |
+
"loss": 0.3479,
|
631 |
+
"step": 2175
|
632 |
+
},
|
633 |
+
{
|
634 |
+
"epoch": 1.270941652224148,
|
635 |
+
"grad_norm": 10.025665283203125,
|
636 |
+
"learning_rate": 3.2067194521720525e-05,
|
637 |
+
"loss": 0.4987,
|
638 |
+
"step": 2200
|
639 |
+
},
|
640 |
+
{
|
641 |
+
"epoch": 1.2853841709994223,
|
642 |
+
"grad_norm": 15.222429275512695,
|
643 |
+
"learning_rate": 3.1799700406591054e-05,
|
644 |
+
"loss": 0.4249,
|
645 |
+
"step": 2225
|
646 |
+
},
|
647 |
+
{
|
648 |
+
"epoch": 1.2998266897746968,
|
649 |
+
"grad_norm": 6.472146987915039,
|
650 |
+
"learning_rate": 3.153220629146159e-05,
|
651 |
+
"loss": 0.4069,
|
652 |
+
"step": 2250
|
653 |
+
},
|
654 |
+
{
|
655 |
+
"epoch": 1.314269208549971,
|
656 |
+
"grad_norm": 2.59798264503479,
|
657 |
+
"learning_rate": 3.1264712176332126e-05,
|
658 |
+
"loss": 0.4369,
|
659 |
+
"step": 2275
|
660 |
+
},
|
661 |
+
{
|
662 |
+
"epoch": 1.3287117273252456,
|
663 |
+
"grad_norm": 6.89563512802124,
|
664 |
+
"learning_rate": 3.0997218061202655e-05,
|
665 |
+
"loss": 0.4497,
|
666 |
+
"step": 2300
|
667 |
+
},
|
668 |
+
{
|
669 |
+
"epoch": 1.34315424610052,
|
670 |
+
"grad_norm": 7.411588668823242,
|
671 |
+
"learning_rate": 3.0729723946073184e-05,
|
672 |
+
"loss": 0.3562,
|
673 |
+
"step": 2325
|
674 |
+
},
|
675 |
+
{
|
676 |
+
"epoch": 1.3575967648757943,
|
677 |
+
"grad_norm": 21.604717254638672,
|
678 |
+
"learning_rate": 3.0462229830943723e-05,
|
679 |
+
"loss": 0.3741,
|
680 |
+
"step": 2350
|
681 |
+
},
|
682 |
+
{
|
683 |
+
"epoch": 1.3720392836510689,
|
684 |
+
"grad_norm": 6.267892360687256,
|
685 |
+
"learning_rate": 3.0194735715814255e-05,
|
686 |
+
"loss": 0.3237,
|
687 |
+
"step": 2375
|
688 |
+
},
|
689 |
+
{
|
690 |
+
"epoch": 1.3864818024263432,
|
691 |
+
"grad_norm": 17.0023250579834,
|
692 |
+
"learning_rate": 2.9927241600684784e-05,
|
693 |
+
"loss": 0.3928,
|
694 |
+
"step": 2400
|
695 |
+
},
|
696 |
+
{
|
697 |
+
"epoch": 1.4009243212016176,
|
698 |
+
"grad_norm": 3.766000509262085,
|
699 |
+
"learning_rate": 2.9659747485555317e-05,
|
700 |
+
"loss": 0.3341,
|
701 |
+
"step": 2425
|
702 |
+
},
|
703 |
+
{
|
704 |
+
"epoch": 1.415366839976892,
|
705 |
+
"grad_norm": 16.134517669677734,
|
706 |
+
"learning_rate": 2.9392253370425852e-05,
|
707 |
+
"loss": 0.3264,
|
708 |
+
"step": 2450
|
709 |
+
},
|
710 |
+
{
|
711 |
+
"epoch": 1.4298093587521663,
|
712 |
+
"grad_norm": 15.79883861541748,
|
713 |
+
"learning_rate": 2.9124759255296385e-05,
|
714 |
+
"loss": 0.3201,
|
715 |
+
"step": 2475
|
716 |
+
},
|
717 |
+
{
|
718 |
+
"epoch": 1.4442518775274409,
|
719 |
+
"grad_norm": 10.560098648071289,
|
720 |
+
"learning_rate": 2.8857265140166917e-05,
|
721 |
+
"loss": 0.3848,
|
722 |
+
"step": 2500
|
723 |
+
},
|
724 |
+
{
|
725 |
+
"epoch": 1.4586943963027152,
|
726 |
+
"grad_norm": 24.152523040771484,
|
727 |
+
"learning_rate": 2.858977102503745e-05,
|
728 |
+
"loss": 0.4073,
|
729 |
+
"step": 2525
|
730 |
+
},
|
731 |
+
{
|
732 |
+
"epoch": 1.4731369150779896,
|
733 |
+
"grad_norm": 15.787476539611816,
|
734 |
+
"learning_rate": 2.8322276909907985e-05,
|
735 |
+
"loss": 0.4058,
|
736 |
+
"step": 2550
|
737 |
+
},
|
738 |
+
{
|
739 |
+
"epoch": 1.487579433853264,
|
740 |
+
"grad_norm": 5.4662604331970215,
|
741 |
+
"learning_rate": 2.8054782794778518e-05,
|
742 |
+
"loss": 0.4019,
|
743 |
+
"step": 2575
|
744 |
+
},
|
745 |
+
{
|
746 |
+
"epoch": 1.5020219526285383,
|
747 |
+
"grad_norm": 5.6592698097229,
|
748 |
+
"learning_rate": 2.778728867964905e-05,
|
749 |
+
"loss": 0.3481,
|
750 |
+
"step": 2600
|
751 |
+
},
|
752 |
+
{
|
753 |
+
"epoch": 1.516464471403813,
|
754 |
+
"grad_norm": 2.2615883350372314,
|
755 |
+
"learning_rate": 2.751979456451958e-05,
|
756 |
+
"loss": 0.3628,
|
757 |
+
"step": 2625
|
758 |
+
},
|
759 |
+
{
|
760 |
+
"epoch": 1.5309069901790873,
|
761 |
+
"grad_norm": 12.71334457397461,
|
762 |
+
"learning_rate": 2.7252300449390118e-05,
|
763 |
+
"loss": 0.3562,
|
764 |
+
"step": 2650
|
765 |
+
},
|
766 |
+
{
|
767 |
+
"epoch": 1.5453495089543616,
|
768 |
+
"grad_norm": 6.8426408767700195,
|
769 |
+
"learning_rate": 2.6984806334260647e-05,
|
770 |
+
"loss": 0.4108,
|
771 |
+
"step": 2675
|
772 |
+
},
|
773 |
+
{
|
774 |
+
"epoch": 1.5597920277296362,
|
775 |
+
"grad_norm": 28.521926879882812,
|
776 |
+
"learning_rate": 2.671731221913118e-05,
|
777 |
+
"loss": 0.3277,
|
778 |
+
"step": 2700
|
779 |
+
},
|
780 |
+
{
|
781 |
+
"epoch": 1.5742345465049103,
|
782 |
+
"grad_norm": 5.261911869049072,
|
783 |
+
"learning_rate": 2.6449818104001712e-05,
|
784 |
+
"loss": 0.3287,
|
785 |
+
"step": 2725
|
786 |
+
},
|
787 |
+
{
|
788 |
+
"epoch": 1.588677065280185,
|
789 |
+
"grad_norm": 31.970890045166016,
|
790 |
+
"learning_rate": 2.6182323988872248e-05,
|
791 |
+
"loss": 0.3222,
|
792 |
+
"step": 2750
|
793 |
+
},
|
794 |
+
{
|
795 |
+
"epoch": 1.6031195840554593,
|
796 |
+
"grad_norm": 11.813735961914062,
|
797 |
+
"learning_rate": 2.591482987374278e-05,
|
798 |
+
"loss": 0.3125,
|
799 |
+
"step": 2775
|
800 |
+
},
|
801 |
+
{
|
802 |
+
"epoch": 1.6175621028307337,
|
803 |
+
"grad_norm": 6.268784523010254,
|
804 |
+
"learning_rate": 2.5647335758613312e-05,
|
805 |
+
"loss": 0.3741,
|
806 |
+
"step": 2800
|
807 |
+
},
|
808 |
+
{
|
809 |
+
"epoch": 1.6320046216060082,
|
810 |
+
"grad_norm": 7.095576286315918,
|
811 |
+
"learning_rate": 2.537984164348384e-05,
|
812 |
+
"loss": 0.3723,
|
813 |
+
"step": 2825
|
814 |
+
},
|
815 |
+
{
|
816 |
+
"epoch": 1.6464471403812824,
|
817 |
+
"grad_norm": 10.156100273132324,
|
818 |
+
"learning_rate": 2.511234752835438e-05,
|
819 |
+
"loss": 0.3499,
|
820 |
+
"step": 2850
|
821 |
+
},
|
822 |
+
{
|
823 |
+
"epoch": 1.660889659156557,
|
824 |
+
"grad_norm": 11.29510498046875,
|
825 |
+
"learning_rate": 2.484485341322491e-05,
|
826 |
+
"loss": 0.29,
|
827 |
+
"step": 2875
|
828 |
+
},
|
829 |
+
{
|
830 |
+
"epoch": 1.6753321779318313,
|
831 |
+
"grad_norm": 15.906551361083984,
|
832 |
+
"learning_rate": 2.4577359298095442e-05,
|
833 |
+
"loss": 0.37,
|
834 |
+
"step": 2900
|
835 |
+
},
|
836 |
+
{
|
837 |
+
"epoch": 1.6897746967071057,
|
838 |
+
"grad_norm": 6.896731853485107,
|
839 |
+
"learning_rate": 2.4309865182965978e-05,
|
840 |
+
"loss": 0.3577,
|
841 |
+
"step": 2925
|
842 |
+
},
|
843 |
+
{
|
844 |
+
"epoch": 1.7042172154823803,
|
845 |
+
"grad_norm": 3.6533708572387695,
|
846 |
+
"learning_rate": 2.4042371067836507e-05,
|
847 |
+
"loss": 0.3122,
|
848 |
+
"step": 2950
|
849 |
+
},
|
850 |
+
{
|
851 |
+
"epoch": 1.7186597342576544,
|
852 |
+
"grad_norm": 11.97821044921875,
|
853 |
+
"learning_rate": 2.3774876952707042e-05,
|
854 |
+
"loss": 0.3725,
|
855 |
+
"step": 2975
|
856 |
+
},
|
857 |
+
{
|
858 |
+
"epoch": 1.733102253032929,
|
859 |
+
"grad_norm": 12.72447395324707,
|
860 |
+
"learning_rate": 2.3507382837577575e-05,
|
861 |
+
"loss": 0.3379,
|
862 |
+
"step": 3000
|
863 |
+
},
|
864 |
+
{
|
865 |
+
"epoch": 1.7475447718082033,
|
866 |
+
"grad_norm": 8.284575462341309,
|
867 |
+
"learning_rate": 2.3239888722448107e-05,
|
868 |
+
"loss": 0.3303,
|
869 |
+
"step": 3025
|
870 |
+
},
|
871 |
+
{
|
872 |
+
"epoch": 1.7619872905834777,
|
873 |
+
"grad_norm": 7.413320064544678,
|
874 |
+
"learning_rate": 2.297239460731864e-05,
|
875 |
+
"loss": 0.3731,
|
876 |
+
"step": 3050
|
877 |
+
},
|
878 |
+
{
|
879 |
+
"epoch": 1.7764298093587523,
|
880 |
+
"grad_norm": 5.650282382965088,
|
881 |
+
"learning_rate": 2.2704900492189175e-05,
|
882 |
+
"loss": 0.3892,
|
883 |
+
"step": 3075
|
884 |
+
},
|
885 |
+
{
|
886 |
+
"epoch": 1.7908723281340264,
|
887 |
+
"grad_norm": 4.727357387542725,
|
888 |
+
"learning_rate": 2.2437406377059704e-05,
|
889 |
+
"loss": 0.3721,
|
890 |
+
"step": 3100
|
891 |
+
},
|
892 |
+
{
|
893 |
+
"epoch": 1.805314846909301,
|
894 |
+
"grad_norm": 11.350446701049805,
|
895 |
+
"learning_rate": 2.216991226193024e-05,
|
896 |
+
"loss": 0.3263,
|
897 |
+
"step": 3125
|
898 |
+
},
|
899 |
+
{
|
900 |
+
"epoch": 1.8197573656845754,
|
901 |
+
"grad_norm": 7.404331684112549,
|
902 |
+
"learning_rate": 2.1902418146800772e-05,
|
903 |
+
"loss": 0.3016,
|
904 |
+
"step": 3150
|
905 |
+
},
|
906 |
+
{
|
907 |
+
"epoch": 1.8341998844598497,
|
908 |
+
"grad_norm": 4.940402984619141,
|
909 |
+
"learning_rate": 2.1634924031671305e-05,
|
910 |
+
"loss": 0.3623,
|
911 |
+
"step": 3175
|
912 |
+
},
|
913 |
+
{
|
914 |
+
"epoch": 1.8486424032351243,
|
915 |
+
"grad_norm": 5.797356128692627,
|
916 |
+
"learning_rate": 2.1367429916541837e-05,
|
917 |
+
"loss": 0.3448,
|
918 |
+
"step": 3200
|
919 |
+
},
|
920 |
+
{
|
921 |
+
"epoch": 1.8630849220103987,
|
922 |
+
"grad_norm": 2.8347394466400146,
|
923 |
+
"learning_rate": 2.109993580141237e-05,
|
924 |
+
"loss": 0.3467,
|
925 |
+
"step": 3225
|
926 |
+
},
|
927 |
+
{
|
928 |
+
"epoch": 1.877527440785673,
|
929 |
+
"grad_norm": 6.575459003448486,
|
930 |
+
"learning_rate": 2.0832441686282902e-05,
|
931 |
+
"loss": 0.3782,
|
932 |
+
"step": 3250
|
933 |
+
},
|
934 |
+
{
|
935 |
+
"epoch": 1.8919699595609474,
|
936 |
+
"grad_norm": 11.3712797164917,
|
937 |
+
"learning_rate": 2.0564947571153438e-05,
|
938 |
+
"loss": 0.3759,
|
939 |
+
"step": 3275
|
940 |
+
},
|
941 |
+
{
|
942 |
+
"epoch": 1.9064124783362217,
|
943 |
+
"grad_norm": 11.227645874023438,
|
944 |
+
"learning_rate": 2.0297453456023967e-05,
|
945 |
+
"loss": 0.3864,
|
946 |
+
"step": 3300
|
947 |
+
},
|
948 |
+
{
|
949 |
+
"epoch": 1.9208549971114963,
|
950 |
+
"grad_norm": 24.690820693969727,
|
951 |
+
"learning_rate": 2.0029959340894502e-05,
|
952 |
+
"loss": 0.3361,
|
953 |
+
"step": 3325
|
954 |
+
},
|
955 |
+
{
|
956 |
+
"epoch": 1.9352975158867707,
|
957 |
+
"grad_norm": 6.431740760803223,
|
958 |
+
"learning_rate": 1.9762465225765035e-05,
|
959 |
+
"loss": 0.3138,
|
960 |
+
"step": 3350
|
961 |
+
},
|
962 |
+
{
|
963 |
+
"epoch": 1.949740034662045,
|
964 |
+
"grad_norm": 6.420506954193115,
|
965 |
+
"learning_rate": 1.9494971110635567e-05,
|
966 |
+
"loss": 0.282,
|
967 |
+
"step": 3375
|
968 |
+
},
|
969 |
+
{
|
970 |
+
"epoch": 1.9641825534373196,
|
971 |
+
"grad_norm": 15.711064338684082,
|
972 |
+
"learning_rate": 1.92274769955061e-05,
|
973 |
+
"loss": 0.3228,
|
974 |
+
"step": 3400
|
975 |
+
},
|
976 |
+
{
|
977 |
+
"epoch": 1.9786250722125938,
|
978 |
+
"grad_norm": 10.628539085388184,
|
979 |
+
"learning_rate": 1.8959982880376635e-05,
|
980 |
+
"loss": 0.3787,
|
981 |
+
"step": 3425
|
982 |
+
},
|
983 |
+
{
|
984 |
+
"epoch": 1.9930675909878683,
|
985 |
+
"grad_norm": 6.874371528625488,
|
986 |
+
"learning_rate": 1.8692488765247164e-05,
|
987 |
+
"loss": 0.3496,
|
988 |
+
"step": 3450
|
989 |
+
},
|
990 |
+
{
|
991 |
+
"epoch": 2.0,
|
992 |
+
"eval_explained_variance": 0.6929686665534973,
|
993 |
+
"eval_loss": 0.34081029891967773,
|
994 |
+
"eval_mae": 0.4530330300331116,
|
995 |
+
"eval_mse": 0.3408103287220001,
|
996 |
+
"eval_r2": 0.6911017288906998,
|
997 |
+
"eval_rmse": 0.5837896466255188,
|
998 |
+
"eval_runtime": 22.0954,
|
999 |
+
"eval_samples_per_second": 156.684,
|
1000 |
+
"eval_steps_per_second": 9.821,
|
1001 |
+
"step": 3462
|
1002 |
+
}
|
1003 |
+
],
|
1004 |
+
"logging_steps": 25,
|
1005 |
+
"max_steps": 5193,
|
1006 |
+
"num_input_tokens_seen": 0,
|
1007 |
+
"num_train_epochs": 3,
|
1008 |
+
"save_steps": 500,
|
1009 |
+
"total_flos": 7285479708948480.0,
|
1010 |
+
"train_batch_size": 8,
|
1011 |
+
"trial_name": null,
|
1012 |
+
"trial_params": null
|
1013 |
+
}
|
checkpoint-3462/training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:eaad2019aafc631be278d6b739195b1913233b6e829d21c819b09f5aacdc4307
|
3 |
+
size 5048
|
config.json
ADDED
@@ -0,0 +1,34 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "google-bert/bert-base-uncased",
|
3 |
+
"_num_labels": 1,
|
4 |
+
"architectures": [
|
5 |
+
"BertForSequenceClassification"
|
6 |
+
],
|
7 |
+
"attention_probs_dropout_prob": 0.1,
|
8 |
+
"classifier_dropout": null,
|
9 |
+
"gradient_checkpointing": false,
|
10 |
+
"hidden_act": "gelu",
|
11 |
+
"hidden_dropout_prob": 0.1,
|
12 |
+
"hidden_size": 768,
|
13 |
+
"id2label": {
|
14 |
+
"0": "target"
|
15 |
+
},
|
16 |
+
"initializer_range": 0.02,
|
17 |
+
"intermediate_size": 3072,
|
18 |
+
"label2id": {
|
19 |
+
"target": 0
|
20 |
+
},
|
21 |
+
"layer_norm_eps": 1e-12,
|
22 |
+
"max_position_embeddings": 512,
|
23 |
+
"model_type": "bert",
|
24 |
+
"num_attention_heads": 12,
|
25 |
+
"num_hidden_layers": 12,
|
26 |
+
"pad_token_id": 0,
|
27 |
+
"position_embedding_type": "absolute",
|
28 |
+
"problem_type": "regression",
|
29 |
+
"torch_dtype": "float32",
|
30 |
+
"transformers_version": "4.40.1",
|
31 |
+
"type_vocab_size": 2,
|
32 |
+
"use_cache": true,
|
33 |
+
"vocab_size": 30522
|
34 |
+
}
|
model.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:f1cf357382ee41f38190a8ca66e1f4a0c816d0b3701854f3d2302ba19008693f
|
3 |
+
size 437955572
|
runs/Apr30_11-09-01_r-abhishek-autotrain-cbd6adsx-4a7db-kjsdj/events.out.tfevents.1714475341.r-abhishek-autotrain-cbd6adsx-4a7db-kjsdj.150.0
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:f7f933fa3df8fdee79e869b68a23f82daa1b7a09d7c5e5d3c6b304e793b0958e
|
3 |
+
size 50386
|
runs/Apr30_11-09-01_r-abhishek-autotrain-cbd6adsx-4a7db-kjsdj/events.out.tfevents.1714476294.r-abhishek-autotrain-cbd6adsx-4a7db-kjsdj.150.1
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:29f282edff2098c9a9b21901aad5e01d51223095d298ec32217129efd7a9c788
|
3 |
+
size 609
|
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 +1,55 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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_lower_case": true,
|
47 |
+
"mask_token": "[MASK]",
|
48 |
+
"model_max_length": 512,
|
49 |
+
"pad_token": "[PAD]",
|
50 |
+
"sep_token": "[SEP]",
|
51 |
+
"strip_accents": null,
|
52 |
+
"tokenize_chinese_chars": true,
|
53 |
+
"tokenizer_class": "BertTokenizer",
|
54 |
+
"unk_token": "[UNK]"
|
55 |
+
}
|
training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:eaad2019aafc631be278d6b739195b1913233b6e829d21c819b09f5aacdc4307
|
3 |
+
size 5048
|
training_params.json
ADDED
@@ -0,0 +1,28 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"data_path": "autotrain-99xmg-r4pqr/autotrain-data",
|
3 |
+
"model": "google-bert/bert-base-uncased",
|
4 |
+
"lr": 5e-05,
|
5 |
+
"epochs": 3,
|
6 |
+
"max_seq_length": 512,
|
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-99xmg-r4pqr",
|
21 |
+
"auto_find_batch_size": false,
|
22 |
+
"mixed_precision": "fp16",
|
23 |
+
"save_total_limit": 1,
|
24 |
+
"push_to_hub": true,
|
25 |
+
"evaluation_strategy": "epoch",
|
26 |
+
"username": "abhishek",
|
27 |
+
"log": "tensorboard"
|
28 |
+
}
|
vocab.txt
ADDED
The diff for this file is too large to render.
See raw diff
|
|