Training in progress, epoch 6, checkpoint
Browse files- checkpoint-900/config.json +96 -0
- checkpoint-900/model.safetensors +3 -0
- checkpoint-900/optimizer.pt +3 -0
- checkpoint-900/preprocessor_config.json +9 -0
- checkpoint-900/rng_state.pth +3 -0
- checkpoint-900/scheduler.pt +3 -0
- checkpoint-900/trainer_state.json +1216 -0
- checkpoint-900/training_args.bin +3 -0
checkpoint-900/config.json
ADDED
@@ -0,0 +1,96 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "arshsin/distilhubert-finetuned-gtzan",
|
3 |
+
"activation_dropout": 0.1,
|
4 |
+
"apply_spec_augment": false,
|
5 |
+
"architectures": [
|
6 |
+
"HubertForSequenceClassification"
|
7 |
+
],
|
8 |
+
"attention_dropout": 0.1,
|
9 |
+
"bos_token_id": 1,
|
10 |
+
"classifier_proj_size": 256,
|
11 |
+
"conv_bias": false,
|
12 |
+
"conv_dim": [
|
13 |
+
512,
|
14 |
+
512,
|
15 |
+
512,
|
16 |
+
512,
|
17 |
+
512,
|
18 |
+
512,
|
19 |
+
512
|
20 |
+
],
|
21 |
+
"conv_kernel": [
|
22 |
+
10,
|
23 |
+
3,
|
24 |
+
3,
|
25 |
+
3,
|
26 |
+
3,
|
27 |
+
2,
|
28 |
+
2
|
29 |
+
],
|
30 |
+
"conv_stride": [
|
31 |
+
5,
|
32 |
+
2,
|
33 |
+
2,
|
34 |
+
2,
|
35 |
+
2,
|
36 |
+
2,
|
37 |
+
2
|
38 |
+
],
|
39 |
+
"ctc_loss_reduction": "sum",
|
40 |
+
"ctc_zero_infinity": false,
|
41 |
+
"do_stable_layer_norm": false,
|
42 |
+
"eos_token_id": 2,
|
43 |
+
"feat_extract_activation": "gelu",
|
44 |
+
"feat_extract_norm": "group",
|
45 |
+
"feat_proj_dropout": 0.0,
|
46 |
+
"feat_proj_layer_norm": false,
|
47 |
+
"final_dropout": 0.0,
|
48 |
+
"hidden_act": "gelu",
|
49 |
+
"hidden_dropout": 0.1,
|
50 |
+
"hidden_size": 768,
|
51 |
+
"id2label": {
|
52 |
+
"0": "blues",
|
53 |
+
"1": "classical",
|
54 |
+
"2": "country",
|
55 |
+
"3": "disco",
|
56 |
+
"4": "hiphop",
|
57 |
+
"5": "jazz",
|
58 |
+
"6": "metal",
|
59 |
+
"7": "pop",
|
60 |
+
"8": "reggae",
|
61 |
+
"9": "rock"
|
62 |
+
},
|
63 |
+
"initializer_range": 0.02,
|
64 |
+
"intermediate_size": 3072,
|
65 |
+
"label2id": {
|
66 |
+
"blues": "0",
|
67 |
+
"classical": "1",
|
68 |
+
"country": "2",
|
69 |
+
"disco": "3",
|
70 |
+
"hiphop": "4",
|
71 |
+
"jazz": "5",
|
72 |
+
"metal": "6",
|
73 |
+
"pop": "7",
|
74 |
+
"reggae": "8",
|
75 |
+
"rock": "9"
|
76 |
+
},
|
77 |
+
"layer_norm_eps": 1e-05,
|
78 |
+
"layerdrop": 0.0,
|
79 |
+
"mask_feature_length": 10,
|
80 |
+
"mask_feature_min_masks": 0,
|
81 |
+
"mask_feature_prob": 0.0,
|
82 |
+
"mask_time_length": 10,
|
83 |
+
"mask_time_min_masks": 2,
|
84 |
+
"mask_time_prob": 0.05,
|
85 |
+
"model_type": "hubert",
|
86 |
+
"num_attention_heads": 12,
|
87 |
+
"num_conv_pos_embedding_groups": 16,
|
88 |
+
"num_conv_pos_embeddings": 128,
|
89 |
+
"num_feat_extract_layers": 7,
|
90 |
+
"num_hidden_layers": 2,
|
91 |
+
"pad_token_id": 0,
|
92 |
+
"torch_dtype": "float32",
|
93 |
+
"transformers_version": "4.35.2",
|
94 |
+
"use_weighted_layer_sum": false,
|
95 |
+
"vocab_size": 32
|
96 |
+
}
|
checkpoint-900/model.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:8628b975c5b1ea59b66d85c938ffadd34415250a7b91949d6b4cf624f43f5921
|
3 |
+
size 94771728
|
checkpoint-900/optimizer.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:524849249414157e3773b3018224c37f2d3c4baafbc2c0440637659418f07776
|
3 |
+
size 189575930
|
checkpoint-900/preprocessor_config.json
ADDED
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"do_normalize": true,
|
3 |
+
"feature_extractor_type": "Wav2Vec2FeatureExtractor",
|
4 |
+
"feature_size": 1,
|
5 |
+
"padding_side": "right",
|
6 |
+
"padding_value": 0,
|
7 |
+
"return_attention_mask": true,
|
8 |
+
"sampling_rate": 16000
|
9 |
+
}
|
checkpoint-900/rng_state.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:548253f36b10811f99524751a08c49f86b134c6b084e1ab7fc0cd75f48e6a38c
|
3 |
+
size 14244
|
checkpoint-900/scheduler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:8261de2277f027ad9198a29661762b5ec4dd00ca76fd70d399c02deb4798f963
|
3 |
+
size 1064
|
checkpoint-900/trainer_state.json
ADDED
@@ -0,0 +1,1216 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": 0.82,
|
3 |
+
"best_model_checkpoint": "distilhubert-finetuned-gtzan/checkpoint-560",
|
4 |
+
"epoch": 6.0,
|
5 |
+
"eval_steps": 500,
|
6 |
+
"global_step": 900,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.09,
|
13 |
+
"learning_rate": 4.464285714285714e-05,
|
14 |
+
"loss": 2.2976,
|
15 |
+
"step": 5
|
16 |
+
},
|
17 |
+
{
|
18 |
+
"epoch": 0.18,
|
19 |
+
"learning_rate": 8.928571428571429e-05,
|
20 |
+
"loss": 2.2855,
|
21 |
+
"step": 10
|
22 |
+
},
|
23 |
+
{
|
24 |
+
"epoch": 0.27,
|
25 |
+
"learning_rate": 0.00013392857142857144,
|
26 |
+
"loss": 2.2307,
|
27 |
+
"step": 15
|
28 |
+
},
|
29 |
+
{
|
30 |
+
"epoch": 0.35,
|
31 |
+
"learning_rate": 0.00017857142857142857,
|
32 |
+
"loss": 2.1327,
|
33 |
+
"step": 20
|
34 |
+
},
|
35 |
+
{
|
36 |
+
"epoch": 0.44,
|
37 |
+
"learning_rate": 0.00022321428571428573,
|
38 |
+
"loss": 2.0339,
|
39 |
+
"step": 25
|
40 |
+
},
|
41 |
+
{
|
42 |
+
"epoch": 0.53,
|
43 |
+
"learning_rate": 0.00026785714285714287,
|
44 |
+
"loss": 1.9633,
|
45 |
+
"step": 30
|
46 |
+
},
|
47 |
+
{
|
48 |
+
"epoch": 0.62,
|
49 |
+
"learning_rate": 0.0003125,
|
50 |
+
"loss": 1.8021,
|
51 |
+
"step": 35
|
52 |
+
},
|
53 |
+
{
|
54 |
+
"epoch": 0.71,
|
55 |
+
"learning_rate": 0.00035714285714285714,
|
56 |
+
"loss": 1.6938,
|
57 |
+
"step": 40
|
58 |
+
},
|
59 |
+
{
|
60 |
+
"epoch": 0.8,
|
61 |
+
"learning_rate": 0.00040178571428571433,
|
62 |
+
"loss": 1.5271,
|
63 |
+
"step": 45
|
64 |
+
},
|
65 |
+
{
|
66 |
+
"epoch": 0.88,
|
67 |
+
"learning_rate": 0.00044642857142857147,
|
68 |
+
"loss": 1.4038,
|
69 |
+
"step": 50
|
70 |
+
},
|
71 |
+
{
|
72 |
+
"epoch": 0.97,
|
73 |
+
"learning_rate": 0.0004910714285714286,
|
74 |
+
"loss": 1.496,
|
75 |
+
"step": 55
|
76 |
+
},
|
77 |
+
{
|
78 |
+
"epoch": 0.99,
|
79 |
+
"eval_accuracy": 0.27,
|
80 |
+
"eval_loss": 1.8467493057250977,
|
81 |
+
"eval_runtime": 72.5718,
|
82 |
+
"eval_samples_per_second": 1.378,
|
83 |
+
"eval_steps_per_second": 0.179,
|
84 |
+
"step": 56
|
85 |
+
},
|
86 |
+
{
|
87 |
+
"epoch": 1.06,
|
88 |
+
"learning_rate": 0.000496031746031746,
|
89 |
+
"loss": 1.3528,
|
90 |
+
"step": 60
|
91 |
+
},
|
92 |
+
{
|
93 |
+
"epoch": 1.15,
|
94 |
+
"learning_rate": 0.0004910714285714286,
|
95 |
+
"loss": 1.507,
|
96 |
+
"step": 65
|
97 |
+
},
|
98 |
+
{
|
99 |
+
"epoch": 1.24,
|
100 |
+
"learning_rate": 0.0004861111111111111,
|
101 |
+
"loss": 1.504,
|
102 |
+
"step": 70
|
103 |
+
},
|
104 |
+
{
|
105 |
+
"epoch": 1.33,
|
106 |
+
"learning_rate": 0.0004811507936507937,
|
107 |
+
"loss": 1.3719,
|
108 |
+
"step": 75
|
109 |
+
},
|
110 |
+
{
|
111 |
+
"epoch": 1.42,
|
112 |
+
"learning_rate": 0.0004761904761904762,
|
113 |
+
"loss": 1.2284,
|
114 |
+
"step": 80
|
115 |
+
},
|
116 |
+
{
|
117 |
+
"epoch": 1.5,
|
118 |
+
"learning_rate": 0.00047123015873015874,
|
119 |
+
"loss": 1.2997,
|
120 |
+
"step": 85
|
121 |
+
},
|
122 |
+
{
|
123 |
+
"epoch": 1.59,
|
124 |
+
"learning_rate": 0.0004662698412698413,
|
125 |
+
"loss": 1.2284,
|
126 |
+
"step": 90
|
127 |
+
},
|
128 |
+
{
|
129 |
+
"epoch": 1.68,
|
130 |
+
"learning_rate": 0.00046130952380952383,
|
131 |
+
"loss": 1.3332,
|
132 |
+
"step": 95
|
133 |
+
},
|
134 |
+
{
|
135 |
+
"epoch": 1.77,
|
136 |
+
"learning_rate": 0.0004563492063492063,
|
137 |
+
"loss": 1.1091,
|
138 |
+
"step": 100
|
139 |
+
},
|
140 |
+
{
|
141 |
+
"epoch": 1.86,
|
142 |
+
"learning_rate": 0.0004513888888888889,
|
143 |
+
"loss": 1.1335,
|
144 |
+
"step": 105
|
145 |
+
},
|
146 |
+
{
|
147 |
+
"epoch": 1.95,
|
148 |
+
"learning_rate": 0.00044642857142857147,
|
149 |
+
"loss": 1.1313,
|
150 |
+
"step": 110
|
151 |
+
},
|
152 |
+
{
|
153 |
+
"epoch": 2.0,
|
154 |
+
"eval_accuracy": 0.61,
|
155 |
+
"eval_loss": 1.175675868988037,
|
156 |
+
"eval_runtime": 71.9077,
|
157 |
+
"eval_samples_per_second": 1.391,
|
158 |
+
"eval_steps_per_second": 0.181,
|
159 |
+
"step": 113
|
160 |
+
},
|
161 |
+
{
|
162 |
+
"epoch": 2.04,
|
163 |
+
"learning_rate": 0.00044146825396825396,
|
164 |
+
"loss": 1.1765,
|
165 |
+
"step": 115
|
166 |
+
},
|
167 |
+
{
|
168 |
+
"epoch": 2.12,
|
169 |
+
"learning_rate": 0.0004365079365079365,
|
170 |
+
"loss": 1.0945,
|
171 |
+
"step": 120
|
172 |
+
},
|
173 |
+
{
|
174 |
+
"epoch": 2.21,
|
175 |
+
"learning_rate": 0.00043154761904761905,
|
176 |
+
"loss": 0.9198,
|
177 |
+
"step": 125
|
178 |
+
},
|
179 |
+
{
|
180 |
+
"epoch": 2.3,
|
181 |
+
"learning_rate": 0.0004265873015873016,
|
182 |
+
"loss": 1.1504,
|
183 |
+
"step": 130
|
184 |
+
},
|
185 |
+
{
|
186 |
+
"epoch": 2.39,
|
187 |
+
"learning_rate": 0.00042162698412698415,
|
188 |
+
"loss": 1.03,
|
189 |
+
"step": 135
|
190 |
+
},
|
191 |
+
{
|
192 |
+
"epoch": 2.48,
|
193 |
+
"learning_rate": 0.0004166666666666667,
|
194 |
+
"loss": 1.294,
|
195 |
+
"step": 140
|
196 |
+
},
|
197 |
+
{
|
198 |
+
"epoch": 2.57,
|
199 |
+
"learning_rate": 0.0004117063492063492,
|
200 |
+
"loss": 0.918,
|
201 |
+
"step": 145
|
202 |
+
},
|
203 |
+
{
|
204 |
+
"epoch": 2.65,
|
205 |
+
"learning_rate": 0.00040674603174603173,
|
206 |
+
"loss": 0.9529,
|
207 |
+
"step": 150
|
208 |
+
},
|
209 |
+
{
|
210 |
+
"epoch": 2.74,
|
211 |
+
"learning_rate": 0.00040178571428571433,
|
212 |
+
"loss": 0.9366,
|
213 |
+
"step": 155
|
214 |
+
},
|
215 |
+
{
|
216 |
+
"epoch": 2.83,
|
217 |
+
"learning_rate": 0.0003968253968253968,
|
218 |
+
"loss": 0.9388,
|
219 |
+
"step": 160
|
220 |
+
},
|
221 |
+
{
|
222 |
+
"epoch": 2.92,
|
223 |
+
"learning_rate": 0.00039186507936507937,
|
224 |
+
"loss": 1.2432,
|
225 |
+
"step": 165
|
226 |
+
},
|
227 |
+
{
|
228 |
+
"epoch": 2.99,
|
229 |
+
"eval_accuracy": 0.58,
|
230 |
+
"eval_loss": 1.3774330615997314,
|
231 |
+
"eval_runtime": 72.0805,
|
232 |
+
"eval_samples_per_second": 1.387,
|
233 |
+
"eval_steps_per_second": 0.18,
|
234 |
+
"step": 169
|
235 |
+
},
|
236 |
+
{
|
237 |
+
"epoch": 3.01,
|
238 |
+
"learning_rate": 0.0003869047619047619,
|
239 |
+
"loss": 0.8342,
|
240 |
+
"step": 170
|
241 |
+
},
|
242 |
+
{
|
243 |
+
"epoch": 3.1,
|
244 |
+
"learning_rate": 0.0003819444444444444,
|
245 |
+
"loss": 1.2782,
|
246 |
+
"step": 175
|
247 |
+
},
|
248 |
+
{
|
249 |
+
"epoch": 3.19,
|
250 |
+
"learning_rate": 0.000376984126984127,
|
251 |
+
"loss": 0.9997,
|
252 |
+
"step": 180
|
253 |
+
},
|
254 |
+
{
|
255 |
+
"epoch": 3.27,
|
256 |
+
"learning_rate": 0.00037202380952380956,
|
257 |
+
"loss": 0.6668,
|
258 |
+
"step": 185
|
259 |
+
},
|
260 |
+
{
|
261 |
+
"epoch": 3.36,
|
262 |
+
"learning_rate": 0.00036706349206349205,
|
263 |
+
"loss": 0.7267,
|
264 |
+
"step": 190
|
265 |
+
},
|
266 |
+
{
|
267 |
+
"epoch": 3.45,
|
268 |
+
"learning_rate": 0.0003621031746031746,
|
269 |
+
"loss": 0.892,
|
270 |
+
"step": 195
|
271 |
+
},
|
272 |
+
{
|
273 |
+
"epoch": 3.54,
|
274 |
+
"learning_rate": 0.00035714285714285714,
|
275 |
+
"loss": 1.0096,
|
276 |
+
"step": 200
|
277 |
+
},
|
278 |
+
{
|
279 |
+
"epoch": 3.63,
|
280 |
+
"learning_rate": 0.0003521825396825397,
|
281 |
+
"loss": 0.8909,
|
282 |
+
"step": 205
|
283 |
+
},
|
284 |
+
{
|
285 |
+
"epoch": 3.72,
|
286 |
+
"learning_rate": 0.00034722222222222224,
|
287 |
+
"loss": 1.0591,
|
288 |
+
"step": 210
|
289 |
+
},
|
290 |
+
{
|
291 |
+
"epoch": 3.81,
|
292 |
+
"learning_rate": 0.0003422619047619048,
|
293 |
+
"loss": 0.6526,
|
294 |
+
"step": 215
|
295 |
+
},
|
296 |
+
{
|
297 |
+
"epoch": 3.89,
|
298 |
+
"learning_rate": 0.00033730158730158733,
|
299 |
+
"loss": 0.847,
|
300 |
+
"step": 220
|
301 |
+
},
|
302 |
+
{
|
303 |
+
"epoch": 3.98,
|
304 |
+
"learning_rate": 0.0003323412698412698,
|
305 |
+
"loss": 0.7301,
|
306 |
+
"step": 225
|
307 |
+
},
|
308 |
+
{
|
309 |
+
"epoch": 4.0,
|
310 |
+
"eval_accuracy": 0.66,
|
311 |
+
"eval_loss": 0.9738250970840454,
|
312 |
+
"eval_runtime": 70.9865,
|
313 |
+
"eval_samples_per_second": 1.409,
|
314 |
+
"eval_steps_per_second": 0.183,
|
315 |
+
"step": 226
|
316 |
+
},
|
317 |
+
{
|
318 |
+
"epoch": 4.07,
|
319 |
+
"learning_rate": 0.00032738095238095237,
|
320 |
+
"loss": 0.8506,
|
321 |
+
"step": 230
|
322 |
+
},
|
323 |
+
{
|
324 |
+
"epoch": 4.16,
|
325 |
+
"learning_rate": 0.00032242063492063497,
|
326 |
+
"loss": 0.642,
|
327 |
+
"step": 235
|
328 |
+
},
|
329 |
+
{
|
330 |
+
"epoch": 4.25,
|
331 |
+
"learning_rate": 0.00031746031746031746,
|
332 |
+
"loss": 0.6132,
|
333 |
+
"step": 240
|
334 |
+
},
|
335 |
+
{
|
336 |
+
"epoch": 4.34,
|
337 |
+
"learning_rate": 0.0003125,
|
338 |
+
"loss": 0.6279,
|
339 |
+
"step": 245
|
340 |
+
},
|
341 |
+
{
|
342 |
+
"epoch": 4.42,
|
343 |
+
"learning_rate": 0.00030753968253968255,
|
344 |
+
"loss": 0.7194,
|
345 |
+
"step": 250
|
346 |
+
},
|
347 |
+
{
|
348 |
+
"epoch": 4.51,
|
349 |
+
"learning_rate": 0.00030257936507936505,
|
350 |
+
"loss": 0.7127,
|
351 |
+
"step": 255
|
352 |
+
},
|
353 |
+
{
|
354 |
+
"epoch": 4.6,
|
355 |
+
"learning_rate": 0.00029761904761904765,
|
356 |
+
"loss": 0.5318,
|
357 |
+
"step": 260
|
358 |
+
},
|
359 |
+
{
|
360 |
+
"epoch": 4.69,
|
361 |
+
"learning_rate": 0.0002926587301587302,
|
362 |
+
"loss": 0.7127,
|
363 |
+
"step": 265
|
364 |
+
},
|
365 |
+
{
|
366 |
+
"epoch": 4.78,
|
367 |
+
"learning_rate": 0.0002876984126984127,
|
368 |
+
"loss": 0.5685,
|
369 |
+
"step": 270
|
370 |
+
},
|
371 |
+
{
|
372 |
+
"epoch": 4.87,
|
373 |
+
"learning_rate": 0.00028273809523809523,
|
374 |
+
"loss": 0.6034,
|
375 |
+
"step": 275
|
376 |
+
},
|
377 |
+
{
|
378 |
+
"epoch": 4.96,
|
379 |
+
"learning_rate": 0.0002777777777777778,
|
380 |
+
"loss": 0.5192,
|
381 |
+
"step": 280
|
382 |
+
},
|
383 |
+
{
|
384 |
+
"epoch": 4.99,
|
385 |
+
"eval_accuracy": 0.73,
|
386 |
+
"eval_loss": 0.9078372120857239,
|
387 |
+
"eval_runtime": 71.0414,
|
388 |
+
"eval_samples_per_second": 1.408,
|
389 |
+
"eval_steps_per_second": 0.183,
|
390 |
+
"step": 282
|
391 |
+
},
|
392 |
+
{
|
393 |
+
"epoch": 5.04,
|
394 |
+
"learning_rate": 0.0002728174603174603,
|
395 |
+
"loss": 0.4625,
|
396 |
+
"step": 285
|
397 |
+
},
|
398 |
+
{
|
399 |
+
"epoch": 5.13,
|
400 |
+
"learning_rate": 0.00026785714285714287,
|
401 |
+
"loss": 0.5618,
|
402 |
+
"step": 290
|
403 |
+
},
|
404 |
+
{
|
405 |
+
"epoch": 5.22,
|
406 |
+
"learning_rate": 0.0002628968253968254,
|
407 |
+
"loss": 0.4268,
|
408 |
+
"step": 295
|
409 |
+
},
|
410 |
+
{
|
411 |
+
"epoch": 5.31,
|
412 |
+
"learning_rate": 0.00025793650793650796,
|
413 |
+
"loss": 0.545,
|
414 |
+
"step": 300
|
415 |
+
},
|
416 |
+
{
|
417 |
+
"epoch": 5.4,
|
418 |
+
"learning_rate": 0.00025297619047619046,
|
419 |
+
"loss": 0.4513,
|
420 |
+
"step": 305
|
421 |
+
},
|
422 |
+
{
|
423 |
+
"epoch": 5.49,
|
424 |
+
"learning_rate": 0.000248015873015873,
|
425 |
+
"loss": 0.4566,
|
426 |
+
"step": 310
|
427 |
+
},
|
428 |
+
{
|
429 |
+
"epoch": 5.58,
|
430 |
+
"learning_rate": 0.00024305555555555555,
|
431 |
+
"loss": 0.4533,
|
432 |
+
"step": 315
|
433 |
+
},
|
434 |
+
{
|
435 |
+
"epoch": 5.66,
|
436 |
+
"learning_rate": 0.0002380952380952381,
|
437 |
+
"loss": 0.4453,
|
438 |
+
"step": 320
|
439 |
+
},
|
440 |
+
{
|
441 |
+
"epoch": 5.75,
|
442 |
+
"learning_rate": 0.00023313492063492064,
|
443 |
+
"loss": 0.4401,
|
444 |
+
"step": 325
|
445 |
+
},
|
446 |
+
{
|
447 |
+
"epoch": 5.84,
|
448 |
+
"learning_rate": 0.00022817460317460316,
|
449 |
+
"loss": 0.3283,
|
450 |
+
"step": 330
|
451 |
+
},
|
452 |
+
{
|
453 |
+
"epoch": 5.93,
|
454 |
+
"learning_rate": 0.00022321428571428573,
|
455 |
+
"loss": 0.4163,
|
456 |
+
"step": 335
|
457 |
+
},
|
458 |
+
{
|
459 |
+
"epoch": 6.0,
|
460 |
+
"eval_accuracy": 0.71,
|
461 |
+
"eval_loss": 0.9995945692062378,
|
462 |
+
"eval_runtime": 71.0596,
|
463 |
+
"eval_samples_per_second": 1.407,
|
464 |
+
"eval_steps_per_second": 0.183,
|
465 |
+
"step": 339
|
466 |
+
},
|
467 |
+
{
|
468 |
+
"epoch": 6.02,
|
469 |
+
"learning_rate": 0.00021825396825396825,
|
470 |
+
"loss": 0.3108,
|
471 |
+
"step": 340
|
472 |
+
},
|
473 |
+
{
|
474 |
+
"epoch": 6.11,
|
475 |
+
"learning_rate": 0.0002132936507936508,
|
476 |
+
"loss": 0.2346,
|
477 |
+
"step": 345
|
478 |
+
},
|
479 |
+
{
|
480 |
+
"epoch": 6.19,
|
481 |
+
"learning_rate": 0.00020833333333333335,
|
482 |
+
"loss": 0.2996,
|
483 |
+
"step": 350
|
484 |
+
},
|
485 |
+
{
|
486 |
+
"epoch": 6.28,
|
487 |
+
"learning_rate": 0.00020337301587301587,
|
488 |
+
"loss": 0.2248,
|
489 |
+
"step": 355
|
490 |
+
},
|
491 |
+
{
|
492 |
+
"epoch": 6.37,
|
493 |
+
"learning_rate": 0.0001984126984126984,
|
494 |
+
"loss": 0.2535,
|
495 |
+
"step": 360
|
496 |
+
},
|
497 |
+
{
|
498 |
+
"epoch": 6.46,
|
499 |
+
"learning_rate": 0.00019345238095238096,
|
500 |
+
"loss": 0.1705,
|
501 |
+
"step": 365
|
502 |
+
},
|
503 |
+
{
|
504 |
+
"epoch": 6.55,
|
505 |
+
"learning_rate": 0.0001884920634920635,
|
506 |
+
"loss": 0.2647,
|
507 |
+
"step": 370
|
508 |
+
},
|
509 |
+
{
|
510 |
+
"epoch": 6.64,
|
511 |
+
"learning_rate": 0.00018353174603174602,
|
512 |
+
"loss": 0.3173,
|
513 |
+
"step": 375
|
514 |
+
},
|
515 |
+
{
|
516 |
+
"epoch": 6.73,
|
517 |
+
"learning_rate": 0.00017857142857142857,
|
518 |
+
"loss": 0.2563,
|
519 |
+
"step": 380
|
520 |
+
},
|
521 |
+
{
|
522 |
+
"epoch": 6.81,
|
523 |
+
"learning_rate": 0.00017361111111111112,
|
524 |
+
"loss": 0.0983,
|
525 |
+
"step": 385
|
526 |
+
},
|
527 |
+
{
|
528 |
+
"epoch": 6.9,
|
529 |
+
"learning_rate": 0.00016865079365079366,
|
530 |
+
"loss": 0.5197,
|
531 |
+
"step": 390
|
532 |
+
},
|
533 |
+
{
|
534 |
+
"epoch": 6.99,
|
535 |
+
"learning_rate": 0.00016369047619047618,
|
536 |
+
"loss": 0.2178,
|
537 |
+
"step": 395
|
538 |
+
},
|
539 |
+
{
|
540 |
+
"epoch": 6.99,
|
541 |
+
"eval_accuracy": 0.79,
|
542 |
+
"eval_loss": 0.7682663202285767,
|
543 |
+
"eval_runtime": 71.9225,
|
544 |
+
"eval_samples_per_second": 1.39,
|
545 |
+
"eval_steps_per_second": 0.181,
|
546 |
+
"step": 395
|
547 |
+
},
|
548 |
+
{
|
549 |
+
"epoch": 7.08,
|
550 |
+
"learning_rate": 0.00015873015873015873,
|
551 |
+
"loss": 0.125,
|
552 |
+
"step": 400
|
553 |
+
},
|
554 |
+
{
|
555 |
+
"epoch": 7.17,
|
556 |
+
"learning_rate": 0.00015376984126984128,
|
557 |
+
"loss": 0.1267,
|
558 |
+
"step": 405
|
559 |
+
},
|
560 |
+
{
|
561 |
+
"epoch": 7.26,
|
562 |
+
"learning_rate": 0.00014880952380952382,
|
563 |
+
"loss": 0.216,
|
564 |
+
"step": 410
|
565 |
+
},
|
566 |
+
{
|
567 |
+
"epoch": 7.35,
|
568 |
+
"learning_rate": 0.00014384920634920634,
|
569 |
+
"loss": 0.1007,
|
570 |
+
"step": 415
|
571 |
+
},
|
572 |
+
{
|
573 |
+
"epoch": 7.43,
|
574 |
+
"learning_rate": 0.0001388888888888889,
|
575 |
+
"loss": 0.1302,
|
576 |
+
"step": 420
|
577 |
+
},
|
578 |
+
{
|
579 |
+
"epoch": 7.52,
|
580 |
+
"learning_rate": 0.00013392857142857144,
|
581 |
+
"loss": 0.1706,
|
582 |
+
"step": 425
|
583 |
+
},
|
584 |
+
{
|
585 |
+
"epoch": 7.61,
|
586 |
+
"learning_rate": 0.00012896825396825398,
|
587 |
+
"loss": 0.0971,
|
588 |
+
"step": 430
|
589 |
+
},
|
590 |
+
{
|
591 |
+
"epoch": 7.7,
|
592 |
+
"learning_rate": 0.0001240079365079365,
|
593 |
+
"loss": 0.1253,
|
594 |
+
"step": 435
|
595 |
+
},
|
596 |
+
{
|
597 |
+
"epoch": 7.79,
|
598 |
+
"learning_rate": 0.00011904761904761905,
|
599 |
+
"loss": 0.0798,
|
600 |
+
"step": 440
|
601 |
+
},
|
602 |
+
{
|
603 |
+
"epoch": 7.88,
|
604 |
+
"learning_rate": 0.00011408730158730158,
|
605 |
+
"loss": 0.5271,
|
606 |
+
"step": 445
|
607 |
+
},
|
608 |
+
{
|
609 |
+
"epoch": 7.96,
|
610 |
+
"learning_rate": 0.00010912698412698413,
|
611 |
+
"loss": 0.0814,
|
612 |
+
"step": 450
|
613 |
+
},
|
614 |
+
{
|
615 |
+
"epoch": 8.0,
|
616 |
+
"eval_accuracy": 0.78,
|
617 |
+
"eval_loss": 0.9985226392745972,
|
618 |
+
"eval_runtime": 70.9212,
|
619 |
+
"eval_samples_per_second": 1.41,
|
620 |
+
"eval_steps_per_second": 0.183,
|
621 |
+
"step": 452
|
622 |
+
},
|
623 |
+
{
|
624 |
+
"epoch": 8.05,
|
625 |
+
"learning_rate": 0.00010416666666666667,
|
626 |
+
"loss": 0.1214,
|
627 |
+
"step": 455
|
628 |
+
},
|
629 |
+
{
|
630 |
+
"epoch": 8.14,
|
631 |
+
"learning_rate": 9.92063492063492e-05,
|
632 |
+
"loss": 0.2457,
|
633 |
+
"step": 460
|
634 |
+
},
|
635 |
+
{
|
636 |
+
"epoch": 8.23,
|
637 |
+
"learning_rate": 9.424603174603175e-05,
|
638 |
+
"loss": 0.0164,
|
639 |
+
"step": 465
|
640 |
+
},
|
641 |
+
{
|
642 |
+
"epoch": 8.32,
|
643 |
+
"learning_rate": 8.928571428571429e-05,
|
644 |
+
"loss": 0.0147,
|
645 |
+
"step": 470
|
646 |
+
},
|
647 |
+
{
|
648 |
+
"epoch": 8.41,
|
649 |
+
"learning_rate": 8.432539682539683e-05,
|
650 |
+
"loss": 0.0326,
|
651 |
+
"step": 475
|
652 |
+
},
|
653 |
+
{
|
654 |
+
"epoch": 8.5,
|
655 |
+
"learning_rate": 7.936507936507937e-05,
|
656 |
+
"loss": 0.0242,
|
657 |
+
"step": 480
|
658 |
+
},
|
659 |
+
{
|
660 |
+
"epoch": 8.58,
|
661 |
+
"learning_rate": 7.440476190476191e-05,
|
662 |
+
"loss": 0.1151,
|
663 |
+
"step": 485
|
664 |
+
},
|
665 |
+
{
|
666 |
+
"epoch": 8.67,
|
667 |
+
"learning_rate": 6.944444444444444e-05,
|
668 |
+
"loss": 0.0586,
|
669 |
+
"step": 490
|
670 |
+
},
|
671 |
+
{
|
672 |
+
"epoch": 8.76,
|
673 |
+
"learning_rate": 6.448412698412699e-05,
|
674 |
+
"loss": 0.0247,
|
675 |
+
"step": 495
|
676 |
+
},
|
677 |
+
{
|
678 |
+
"epoch": 8.85,
|
679 |
+
"learning_rate": 5.9523809523809524e-05,
|
680 |
+
"loss": 0.1615,
|
681 |
+
"step": 500
|
682 |
+
},
|
683 |
+
{
|
684 |
+
"epoch": 8.94,
|
685 |
+
"learning_rate": 5.4563492063492063e-05,
|
686 |
+
"loss": 0.0075,
|
687 |
+
"step": 505
|
688 |
+
},
|
689 |
+
{
|
690 |
+
"epoch": 8.99,
|
691 |
+
"eval_accuracy": 0.78,
|
692 |
+
"eval_loss": 1.1055810451507568,
|
693 |
+
"eval_runtime": 71.6983,
|
694 |
+
"eval_samples_per_second": 1.395,
|
695 |
+
"eval_steps_per_second": 0.181,
|
696 |
+
"step": 508
|
697 |
+
},
|
698 |
+
{
|
699 |
+
"epoch": 9.03,
|
700 |
+
"learning_rate": 4.96031746031746e-05,
|
701 |
+
"loss": 0.0089,
|
702 |
+
"step": 510
|
703 |
+
},
|
704 |
+
{
|
705 |
+
"epoch": 9.12,
|
706 |
+
"learning_rate": 4.464285714285714e-05,
|
707 |
+
"loss": 0.0107,
|
708 |
+
"step": 515
|
709 |
+
},
|
710 |
+
{
|
711 |
+
"epoch": 9.2,
|
712 |
+
"learning_rate": 3.968253968253968e-05,
|
713 |
+
"loss": 0.0767,
|
714 |
+
"step": 520
|
715 |
+
},
|
716 |
+
{
|
717 |
+
"epoch": 9.29,
|
718 |
+
"learning_rate": 3.472222222222222e-05,
|
719 |
+
"loss": 0.0075,
|
720 |
+
"step": 525
|
721 |
+
},
|
722 |
+
{
|
723 |
+
"epoch": 9.38,
|
724 |
+
"learning_rate": 2.9761904761904762e-05,
|
725 |
+
"loss": 0.0184,
|
726 |
+
"step": 530
|
727 |
+
},
|
728 |
+
{
|
729 |
+
"epoch": 9.47,
|
730 |
+
"learning_rate": 2.48015873015873e-05,
|
731 |
+
"loss": 0.0033,
|
732 |
+
"step": 535
|
733 |
+
},
|
734 |
+
{
|
735 |
+
"epoch": 9.56,
|
736 |
+
"learning_rate": 1.984126984126984e-05,
|
737 |
+
"loss": 0.0022,
|
738 |
+
"step": 540
|
739 |
+
},
|
740 |
+
{
|
741 |
+
"epoch": 9.65,
|
742 |
+
"learning_rate": 1.4880952380952381e-05,
|
743 |
+
"loss": 0.089,
|
744 |
+
"step": 545
|
745 |
+
},
|
746 |
+
{
|
747 |
+
"epoch": 9.73,
|
748 |
+
"learning_rate": 9.92063492063492e-06,
|
749 |
+
"loss": 0.0242,
|
750 |
+
"step": 550
|
751 |
+
},
|
752 |
+
{
|
753 |
+
"epoch": 9.82,
|
754 |
+
"learning_rate": 4.96031746031746e-06,
|
755 |
+
"loss": 0.0035,
|
756 |
+
"step": 555
|
757 |
+
},
|
758 |
+
{
|
759 |
+
"epoch": 9.91,
|
760 |
+
"learning_rate": 0.0,
|
761 |
+
"loss": 0.003,
|
762 |
+
"step": 560
|
763 |
+
},
|
764 |
+
{
|
765 |
+
"epoch": 9.91,
|
766 |
+
"eval_accuracy": 0.82,
|
767 |
+
"eval_loss": 1.024199366569519,
|
768 |
+
"eval_runtime": 71.6233,
|
769 |
+
"eval_samples_per_second": 1.396,
|
770 |
+
"eval_steps_per_second": 0.182,
|
771 |
+
"step": 560
|
772 |
+
},
|
773 |
+
{
|
774 |
+
"epoch": 3.77,
|
775 |
+
"learning_rate": 0.00034629629629629626,
|
776 |
+
"loss": 0.0011,
|
777 |
+
"step": 565
|
778 |
+
},
|
779 |
+
{
|
780 |
+
"epoch": 3.8,
|
781 |
+
"learning_rate": 0.0003444444444444445,
|
782 |
+
"loss": 0.0014,
|
783 |
+
"step": 570
|
784 |
+
},
|
785 |
+
{
|
786 |
+
"epoch": 3.83,
|
787 |
+
"learning_rate": 0.00034259259259259263,
|
788 |
+
"loss": 0.3692,
|
789 |
+
"step": 575
|
790 |
+
},
|
791 |
+
{
|
792 |
+
"epoch": 3.87,
|
793 |
+
"learning_rate": 0.00034074074074074074,
|
794 |
+
"loss": 0.0021,
|
795 |
+
"step": 580
|
796 |
+
},
|
797 |
+
{
|
798 |
+
"epoch": 3.9,
|
799 |
+
"learning_rate": 0.0003388888888888889,
|
800 |
+
"loss": 1.3619,
|
801 |
+
"step": 585
|
802 |
+
},
|
803 |
+
{
|
804 |
+
"epoch": 3.93,
|
805 |
+
"learning_rate": 0.00033703703703703706,
|
806 |
+
"loss": 0.6638,
|
807 |
+
"step": 590
|
808 |
+
},
|
809 |
+
{
|
810 |
+
"epoch": 3.97,
|
811 |
+
"learning_rate": 0.0003351851851851852,
|
812 |
+
"loss": 1.3796,
|
813 |
+
"step": 595
|
814 |
+
},
|
815 |
+
{
|
816 |
+
"epoch": 4.0,
|
817 |
+
"learning_rate": 0.0003333333333333333,
|
818 |
+
"loss": 1.9854,
|
819 |
+
"step": 600
|
820 |
+
},
|
821 |
+
{
|
822 |
+
"epoch": 4.0,
|
823 |
+
"eval_accuracy": 0.71,
|
824 |
+
"eval_loss": 2.9401955604553223,
|
825 |
+
"eval_runtime": 73.4555,
|
826 |
+
"eval_samples_per_second": 1.361,
|
827 |
+
"eval_steps_per_second": 0.231,
|
828 |
+
"step": 600
|
829 |
+
},
|
830 |
+
{
|
831 |
+
"epoch": 4.03,
|
832 |
+
"learning_rate": 0.0003314814814814815,
|
833 |
+
"loss": 0.9608,
|
834 |
+
"step": 605
|
835 |
+
},
|
836 |
+
{
|
837 |
+
"epoch": 4.07,
|
838 |
+
"learning_rate": 0.0003296296296296296,
|
839 |
+
"loss": 1.3334,
|
840 |
+
"step": 610
|
841 |
+
},
|
842 |
+
{
|
843 |
+
"epoch": 4.1,
|
844 |
+
"learning_rate": 0.0003277777777777778,
|
845 |
+
"loss": 2.199,
|
846 |
+
"step": 615
|
847 |
+
},
|
848 |
+
{
|
849 |
+
"epoch": 4.13,
|
850 |
+
"learning_rate": 0.00032592592592592596,
|
851 |
+
"loss": 2.818,
|
852 |
+
"step": 620
|
853 |
+
},
|
854 |
+
{
|
855 |
+
"epoch": 4.17,
|
856 |
+
"learning_rate": 0.00032407407407407406,
|
857 |
+
"loss": 1.1829,
|
858 |
+
"step": 625
|
859 |
+
},
|
860 |
+
{
|
861 |
+
"epoch": 4.2,
|
862 |
+
"learning_rate": 0.0003222222222222222,
|
863 |
+
"loss": 3.0117,
|
864 |
+
"step": 630
|
865 |
+
},
|
866 |
+
{
|
867 |
+
"epoch": 4.23,
|
868 |
+
"learning_rate": 0.0003203703703703704,
|
869 |
+
"loss": 2.559,
|
870 |
+
"step": 635
|
871 |
+
},
|
872 |
+
{
|
873 |
+
"epoch": 4.27,
|
874 |
+
"learning_rate": 0.00031851851851851854,
|
875 |
+
"loss": 0.9064,
|
876 |
+
"step": 640
|
877 |
+
},
|
878 |
+
{
|
879 |
+
"epoch": 4.3,
|
880 |
+
"learning_rate": 0.00031666666666666665,
|
881 |
+
"loss": 1.4313,
|
882 |
+
"step": 645
|
883 |
+
},
|
884 |
+
{
|
885 |
+
"epoch": 4.33,
|
886 |
+
"learning_rate": 0.0003148148148148148,
|
887 |
+
"loss": 1.5546,
|
888 |
+
"step": 650
|
889 |
+
},
|
890 |
+
{
|
891 |
+
"epoch": 4.37,
|
892 |
+
"learning_rate": 0.00031296296296296297,
|
893 |
+
"loss": 0.8546,
|
894 |
+
"step": 655
|
895 |
+
},
|
896 |
+
{
|
897 |
+
"epoch": 4.4,
|
898 |
+
"learning_rate": 0.0003111111111111111,
|
899 |
+
"loss": 1.1597,
|
900 |
+
"step": 660
|
901 |
+
},
|
902 |
+
{
|
903 |
+
"epoch": 4.43,
|
904 |
+
"learning_rate": 0.00030925925925925923,
|
905 |
+
"loss": 0.8004,
|
906 |
+
"step": 665
|
907 |
+
},
|
908 |
+
{
|
909 |
+
"epoch": 4.47,
|
910 |
+
"learning_rate": 0.0003074074074074074,
|
911 |
+
"loss": 1.4538,
|
912 |
+
"step": 670
|
913 |
+
},
|
914 |
+
{
|
915 |
+
"epoch": 4.5,
|
916 |
+
"learning_rate": 0.0003055555555555556,
|
917 |
+
"loss": 1.0613,
|
918 |
+
"step": 675
|
919 |
+
},
|
920 |
+
{
|
921 |
+
"epoch": 4.53,
|
922 |
+
"learning_rate": 0.0003037037037037037,
|
923 |
+
"loss": 0.9142,
|
924 |
+
"step": 680
|
925 |
+
},
|
926 |
+
{
|
927 |
+
"epoch": 4.57,
|
928 |
+
"learning_rate": 0.00030185185185185187,
|
929 |
+
"loss": 0.4527,
|
930 |
+
"step": 685
|
931 |
+
},
|
932 |
+
{
|
933 |
+
"epoch": 4.6,
|
934 |
+
"learning_rate": 0.0003,
|
935 |
+
"loss": 0.828,
|
936 |
+
"step": 690
|
937 |
+
},
|
938 |
+
{
|
939 |
+
"epoch": 4.63,
|
940 |
+
"learning_rate": 0.0002981481481481482,
|
941 |
+
"loss": 1.0077,
|
942 |
+
"step": 695
|
943 |
+
},
|
944 |
+
{
|
945 |
+
"epoch": 4.67,
|
946 |
+
"learning_rate": 0.0002962962962962963,
|
947 |
+
"loss": 1.5386,
|
948 |
+
"step": 700
|
949 |
+
},
|
950 |
+
{
|
951 |
+
"epoch": 4.7,
|
952 |
+
"learning_rate": 0.00029444444444444445,
|
953 |
+
"loss": 0.9658,
|
954 |
+
"step": 705
|
955 |
+
},
|
956 |
+
{
|
957 |
+
"epoch": 4.73,
|
958 |
+
"learning_rate": 0.00029259259259259256,
|
959 |
+
"loss": 0.5459,
|
960 |
+
"step": 710
|
961 |
+
},
|
962 |
+
{
|
963 |
+
"epoch": 4.77,
|
964 |
+
"learning_rate": 0.00029074074074074077,
|
965 |
+
"loss": 0.5118,
|
966 |
+
"step": 715
|
967 |
+
},
|
968 |
+
{
|
969 |
+
"epoch": 4.8,
|
970 |
+
"learning_rate": 0.0002888888888888889,
|
971 |
+
"loss": 1.6666,
|
972 |
+
"step": 720
|
973 |
+
},
|
974 |
+
{
|
975 |
+
"epoch": 4.83,
|
976 |
+
"learning_rate": 0.00028703703703703703,
|
977 |
+
"loss": 0.7948,
|
978 |
+
"step": 725
|
979 |
+
},
|
980 |
+
{
|
981 |
+
"epoch": 4.87,
|
982 |
+
"learning_rate": 0.0002851851851851852,
|
983 |
+
"loss": 1.1113,
|
984 |
+
"step": 730
|
985 |
+
},
|
986 |
+
{
|
987 |
+
"epoch": 4.9,
|
988 |
+
"learning_rate": 0.00028333333333333335,
|
989 |
+
"loss": 0.5932,
|
990 |
+
"step": 735
|
991 |
+
},
|
992 |
+
{
|
993 |
+
"epoch": 4.93,
|
994 |
+
"learning_rate": 0.0002814814814814815,
|
995 |
+
"loss": 0.6585,
|
996 |
+
"step": 740
|
997 |
+
},
|
998 |
+
{
|
999 |
+
"epoch": 4.97,
|
1000 |
+
"learning_rate": 0.0002796296296296296,
|
1001 |
+
"loss": 0.6784,
|
1002 |
+
"step": 745
|
1003 |
+
},
|
1004 |
+
{
|
1005 |
+
"epoch": 5.0,
|
1006 |
+
"learning_rate": 0.0002777777777777778,
|
1007 |
+
"loss": 1.6072,
|
1008 |
+
"step": 750
|
1009 |
+
},
|
1010 |
+
{
|
1011 |
+
"epoch": 5.0,
|
1012 |
+
"eval_accuracy": 0.59,
|
1013 |
+
"eval_loss": 2.3611490726470947,
|
1014 |
+
"eval_runtime": 74.012,
|
1015 |
+
"eval_samples_per_second": 1.351,
|
1016 |
+
"eval_steps_per_second": 0.23,
|
1017 |
+
"step": 750
|
1018 |
+
},
|
1019 |
+
{
|
1020 |
+
"epoch": 5.03,
|
1021 |
+
"learning_rate": 0.00027592592592592594,
|
1022 |
+
"loss": 1.1627,
|
1023 |
+
"step": 755
|
1024 |
+
},
|
1025 |
+
{
|
1026 |
+
"epoch": 5.07,
|
1027 |
+
"learning_rate": 0.0002740740740740741,
|
1028 |
+
"loss": 1.2122,
|
1029 |
+
"step": 760
|
1030 |
+
},
|
1031 |
+
{
|
1032 |
+
"epoch": 5.1,
|
1033 |
+
"learning_rate": 0.0002722222222222222,
|
1034 |
+
"loss": 0.9308,
|
1035 |
+
"step": 765
|
1036 |
+
},
|
1037 |
+
{
|
1038 |
+
"epoch": 5.13,
|
1039 |
+
"learning_rate": 0.00027037037037037036,
|
1040 |
+
"loss": 0.1098,
|
1041 |
+
"step": 770
|
1042 |
+
},
|
1043 |
+
{
|
1044 |
+
"epoch": 5.17,
|
1045 |
+
"learning_rate": 0.0002685185185185186,
|
1046 |
+
"loss": 0.1792,
|
1047 |
+
"step": 775
|
1048 |
+
},
|
1049 |
+
{
|
1050 |
+
"epoch": 5.2,
|
1051 |
+
"learning_rate": 0.0002666666666666667,
|
1052 |
+
"loss": 0.0576,
|
1053 |
+
"step": 780
|
1054 |
+
},
|
1055 |
+
{
|
1056 |
+
"epoch": 5.23,
|
1057 |
+
"learning_rate": 0.00026481481481481484,
|
1058 |
+
"loss": 0.4938,
|
1059 |
+
"step": 785
|
1060 |
+
},
|
1061 |
+
{
|
1062 |
+
"epoch": 5.27,
|
1063 |
+
"learning_rate": 0.00026296296296296294,
|
1064 |
+
"loss": 0.3774,
|
1065 |
+
"step": 790
|
1066 |
+
},
|
1067 |
+
{
|
1068 |
+
"epoch": 5.3,
|
1069 |
+
"learning_rate": 0.00026111111111111116,
|
1070 |
+
"loss": 0.5467,
|
1071 |
+
"step": 795
|
1072 |
+
},
|
1073 |
+
{
|
1074 |
+
"epoch": 5.33,
|
1075 |
+
"learning_rate": 0.00025925925925925926,
|
1076 |
+
"loss": 0.0763,
|
1077 |
+
"step": 800
|
1078 |
+
},
|
1079 |
+
{
|
1080 |
+
"epoch": 5.37,
|
1081 |
+
"learning_rate": 0.0002574074074074074,
|
1082 |
+
"loss": 1.8333,
|
1083 |
+
"step": 805
|
1084 |
+
},
|
1085 |
+
{
|
1086 |
+
"epoch": 5.4,
|
1087 |
+
"learning_rate": 0.00025555555555555553,
|
1088 |
+
"loss": 1.6781,
|
1089 |
+
"step": 810
|
1090 |
+
},
|
1091 |
+
{
|
1092 |
+
"epoch": 5.43,
|
1093 |
+
"learning_rate": 0.00025370370370370374,
|
1094 |
+
"loss": 1.3581,
|
1095 |
+
"step": 815
|
1096 |
+
},
|
1097 |
+
{
|
1098 |
+
"epoch": 5.47,
|
1099 |
+
"learning_rate": 0.00025185185185185185,
|
1100 |
+
"loss": 0.8076,
|
1101 |
+
"step": 820
|
1102 |
+
},
|
1103 |
+
{
|
1104 |
+
"epoch": 5.5,
|
1105 |
+
"learning_rate": 0.00025,
|
1106 |
+
"loss": 0.6483,
|
1107 |
+
"step": 825
|
1108 |
+
},
|
1109 |
+
{
|
1110 |
+
"epoch": 5.53,
|
1111 |
+
"learning_rate": 0.00024814814814814816,
|
1112 |
+
"loss": 0.4841,
|
1113 |
+
"step": 830
|
1114 |
+
},
|
1115 |
+
{
|
1116 |
+
"epoch": 5.57,
|
1117 |
+
"learning_rate": 0.00024629629629629627,
|
1118 |
+
"loss": 0.8474,
|
1119 |
+
"step": 835
|
1120 |
+
},
|
1121 |
+
{
|
1122 |
+
"epoch": 5.6,
|
1123 |
+
"learning_rate": 0.00024444444444444443,
|
1124 |
+
"loss": 1.1239,
|
1125 |
+
"step": 840
|
1126 |
+
},
|
1127 |
+
{
|
1128 |
+
"epoch": 5.63,
|
1129 |
+
"learning_rate": 0.0002425925925925926,
|
1130 |
+
"loss": 0.5482,
|
1131 |
+
"step": 845
|
1132 |
+
},
|
1133 |
+
{
|
1134 |
+
"epoch": 5.67,
|
1135 |
+
"learning_rate": 0.00024074074074074072,
|
1136 |
+
"loss": 0.0506,
|
1137 |
+
"step": 850
|
1138 |
+
},
|
1139 |
+
{
|
1140 |
+
"epoch": 5.7,
|
1141 |
+
"learning_rate": 0.0002388888888888889,
|
1142 |
+
"loss": 0.8862,
|
1143 |
+
"step": 855
|
1144 |
+
},
|
1145 |
+
{
|
1146 |
+
"epoch": 5.73,
|
1147 |
+
"learning_rate": 0.00023703703703703704,
|
1148 |
+
"loss": 1.6642,
|
1149 |
+
"step": 860
|
1150 |
+
},
|
1151 |
+
{
|
1152 |
+
"epoch": 5.77,
|
1153 |
+
"learning_rate": 0.0002351851851851852,
|
1154 |
+
"loss": 0.7866,
|
1155 |
+
"step": 865
|
1156 |
+
},
|
1157 |
+
{
|
1158 |
+
"epoch": 5.8,
|
1159 |
+
"learning_rate": 0.00023333333333333333,
|
1160 |
+
"loss": 1.0868,
|
1161 |
+
"step": 870
|
1162 |
+
},
|
1163 |
+
{
|
1164 |
+
"epoch": 5.83,
|
1165 |
+
"learning_rate": 0.0002314814814814815,
|
1166 |
+
"loss": 0.7077,
|
1167 |
+
"step": 875
|
1168 |
+
},
|
1169 |
+
{
|
1170 |
+
"epoch": 5.87,
|
1171 |
+
"learning_rate": 0.00022962962962962962,
|
1172 |
+
"loss": 0.7793,
|
1173 |
+
"step": 880
|
1174 |
+
},
|
1175 |
+
{
|
1176 |
+
"epoch": 5.9,
|
1177 |
+
"learning_rate": 0.00022777777777777778,
|
1178 |
+
"loss": 1.0322,
|
1179 |
+
"step": 885
|
1180 |
+
},
|
1181 |
+
{
|
1182 |
+
"epoch": 5.93,
|
1183 |
+
"learning_rate": 0.00022592592592592591,
|
1184 |
+
"loss": 0.6766,
|
1185 |
+
"step": 890
|
1186 |
+
},
|
1187 |
+
{
|
1188 |
+
"epoch": 5.97,
|
1189 |
+
"learning_rate": 0.00022407407407407407,
|
1190 |
+
"loss": 0.5597,
|
1191 |
+
"step": 895
|
1192 |
+
},
|
1193 |
+
{
|
1194 |
+
"epoch": 6.0,
|
1195 |
+
"learning_rate": 0.0002222222222222222,
|
1196 |
+
"loss": 1.6628,
|
1197 |
+
"step": 900
|
1198 |
+
},
|
1199 |
+
{
|
1200 |
+
"epoch": 6.0,
|
1201 |
+
"eval_accuracy": 0.68,
|
1202 |
+
"eval_loss": 2.350435495376587,
|
1203 |
+
"eval_runtime": 73.3199,
|
1204 |
+
"eval_samples_per_second": 1.364,
|
1205 |
+
"eval_steps_per_second": 0.232,
|
1206 |
+
"step": 900
|
1207 |
+
}
|
1208 |
+
],
|
1209 |
+
"logging_steps": 5,
|
1210 |
+
"max_steps": 1500,
|
1211 |
+
"num_train_epochs": 10,
|
1212 |
+
"save_steps": 500,
|
1213 |
+
"total_flos": 7.4726851594752e+17,
|
1214 |
+
"trial_name": null,
|
1215 |
+
"trial_params": null
|
1216 |
+
}
|
checkpoint-900/training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:7de0359ce29fe1545e54d26b4b7ae565785292c4d27211fcc08337321f634751
|
3 |
+
size 4600
|