Hugging Face's logo

dima806
/
cat_dog_sounds_classification

Audio Classification
Transformers
PyTorch
Safetensors
wav2vec2
Inference Endpoints
Model card Files Community
1
dima806 commited on
Commit
2506675
•
1 Parent(s): 9f73c40

Upload folder using huggingface_hub

Browse files
Files changed (12) hide show
  1. checkpoint-594/config.json +113 -0
  2. checkpoint-594/optimizer.pt +3 -0
  3. checkpoint-594/preprocessor_config.json +9 -0
  4. checkpoint-594/pytorch_model.bin +3 -0
  5. checkpoint-594/rng_state.pth +3 -0
  6. checkpoint-594/scheduler.pt +3 -0
  7. checkpoint-594/trainer_state.json +3661 -0
  8. checkpoint-594/training_args.bin +3 -0
  9. config.json +113 -0
  10. preprocessor_config.json +9 -0
  11. pytorch_model.bin +3 -0
  12. training_args.bin +3 -0
checkpoint-594/config.json ADDED
@@ -0,0 +1,113 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "facebook/wav2vec2-base-960h",
3
+ "activation_dropout": 0.1,
4
+ "adapter_kernel_size": 3,
5
+ "adapter_stride": 2,
6
+ "add_adapter": false,
7
+ "apply_spec_augment": true,
8
+ "architectures": [
9
+ "Wav2Vec2ForSequenceClassification"
10
+ ],
11
+ "attention_dropout": 0.1,
12
+ "bos_token_id": 1,
13
+ "classifier_proj_size": 256,
14
+ "codevector_dim": 256,
15
+ "contrastive_logits_temperature": 0.1,
16
+ "conv_bias": false,
17
+ "conv_dim": [
18
+ 512,
19
+ 512,
20
+ 512,
21
+ 512,
22
+ 512,
23
+ 512,
24
+ 512
25
+ ],
26
+ "conv_kernel": [
27
+ 10,
28
+ 3,
29
+ 3,
30
+ 3,
31
+ 3,
32
+ 2,
33
+ 2
34
+ ],
35
+ "conv_stride": [
36
+ 5,
37
+ 2,
38
+ 2,
39
+ 2,
40
+ 2,
41
+ 2,
42
+ 2
43
+ ],
44
+ "ctc_loss_reduction": "sum",
45
+ "ctc_zero_infinity": false,
46
+ "diversity_loss_weight": 0.1,
47
+ "do_stable_layer_norm": false,
48
+ "eos_token_id": 2,
49
+ "feat_extract_activation": "gelu",
50
+ "feat_extract_dropout": 0.0,
51
+ "feat_extract_norm": "group",
52
+ "feat_proj_dropout": 0.1,
53
+ "feat_quantizer_dropout": 0.0,
54
+ "final_dropout": 0.1,
55
+ "gradient_checkpointing": false,
56
+ "hidden_act": "gelu",
57
+ "hidden_dropout": 0.1,
58
+ "hidden_dropout_prob": 0.1,
59
+ "hidden_size": 768,
60
+ "id2label": {
61
+ "0": "cat",
62
+ "1": "dog"
63
+ },
64
+ "initializer_range": 0.02,
65
+ "intermediate_size": 3072,
66
+ "layer_norm_eps": 1e-05,
67
+ "layerdrop": 0.1,
68
+ "mask_feature_length": 10,
69
+ "mask_feature_min_masks": 0,
70
+ "mask_feature_prob": 0.0,
71
+ "mask_time_length": 10,
72
+ "mask_time_min_masks": 2,
73
+ "mask_time_prob": 0.05,
74
+ "model_type": "wav2vec2",
75
+ "num_adapter_layers": 3,
76
+ "num_attention_heads": 12,
77
+ "num_codevector_groups": 2,
78
+ "num_codevectors_per_group": 320,
79
+ "num_conv_pos_embedding_groups": 16,
80
+ "num_conv_pos_embeddings": 128,
81
+ "num_feat_extract_layers": 7,
82
+ "num_hidden_layers": 12,
83
+ "num_negatives": 100,
84
+ "output_hidden_size": 768,
85
+ "pad_token_id": 0,
86
+ "proj_codevector_dim": 256,
87
+ "tdnn_dilation": [
88
+ 1,
89
+ 2,
90
+ 3,
91
+ 1,
92
+ 1
93
+ ],
94
+ "tdnn_dim": [
95
+ 512,
96
+ 512,
97
+ 512,
98
+ 512,
99
+ 1500
100
+ ],
101
+ "tdnn_kernel": [
102
+ 5,
103
+ 3,
104
+ 3,
105
+ 1,
106
+ 1
107
+ ],
108
+ "torch_dtype": "float32",
109
+ "transformers_version": "4.28.1",
110
+ "use_weighted_layer_sum": false,
111
+ "vocab_size": 32,
112
+ "xvector_output_dim": 512
113
+ }
checkpoint-594/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:87a1e9ee5da6b81fe6fe27afd9fc04412d15489f3574047c3034b6ec5273afa9
3
+ size 756677477
checkpoint-594/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": 0.0,
7
+ "return_attention_mask": false,
8
+ "sampling_rate": 16000
9
+ }
checkpoint-594/pytorch_model.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:1c7703931a4da1e56d95c6aa0a0b88792476b5f3de2ecae89d6337234dec2b08
3
+ size 378348563
checkpoint-594/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:b31587509b5a4440ac695f871f03a0d3d046b09f6ddf5c5a685d16e2ab39c77e
3
+ size 14567
checkpoint-594/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:87126e6c4e3c926adca49c3c7813426a12d25b65fb1a19b3e4cc4187aabd6806
3
+ size 623
checkpoint-594/trainer_state.json ADDED
@@ -0,0 +1,3661 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 0.18054482340812683,
3
+ "best_model_checkpoint": "cat_dog_sounds_classification/checkpoint-594",
4
+ "epoch": 9.0,
5
+ "global_step": 594,
6
+ "is_hyper_param_search": false,
7
+ "is_local_process_zero": true,
8
+ "is_world_process_zero": true,
9
+ "log_history": [
10
+ {
11
+ "epoch": 0.02,
12
+ "learning_rate": 1.0000000000000001e-07,
13
+ "loss": 0.7073,
14
+ "step": 1
15
+ },
16
+ {
17
+ "epoch": 0.03,
18
+ "learning_rate": 2.0000000000000002e-07,
19
+ "loss": 0.6877,
20
+ "step": 2
21
+ },
22
+ {
23
+ "epoch": 0.05,
24
+ "learning_rate": 3.0000000000000004e-07,
25
+ "loss": 0.7053,
26
+ "step": 3
27
+ },
28
+ {
29
+ "epoch": 0.06,
30
+ "learning_rate": 4.0000000000000003e-07,
31
+ "loss": 0.6912,
32
+ "step": 4
33
+ },
34
+ {
35
+ "epoch": 0.08,
36
+ "learning_rate": 5.000000000000001e-07,
37
+ "loss": 0.6998,
38
+ "step": 5
39
+ },
40
+ {
41
+ "epoch": 0.09,
42
+ "learning_rate": 6.000000000000001e-07,
43
+ "loss": 0.6961,
44
+ "step": 6
45
+ },
46
+ {
47
+ "epoch": 0.11,
48
+ "learning_rate": 7.000000000000001e-07,
49
+ "loss": 0.7068,
50
+ "step": 7
51
+ },
52
+ {
53
+ "epoch": 0.12,
54
+ "learning_rate": 8.000000000000001e-07,
55
+ "loss": 0.7004,
56
+ "step": 8
57
+ },
58
+ {
59
+ "epoch": 0.14,
60
+ "learning_rate": 9.000000000000001e-07,
61
+ "loss": 0.6771,
62
+ "step": 9
63
+ },
64
+ {
65
+ "epoch": 0.15,
66
+ "learning_rate": 1.0000000000000002e-06,
67
+ "loss": 0.6778,
68
+ "step": 10
69
+ },
70
+ {
71
+ "epoch": 0.17,
72
+ "learning_rate": 1.1e-06,
73
+ "loss": 0.6763,
74
+ "step": 11
75
+ },
76
+ {
77
+ "epoch": 0.18,
78
+ "learning_rate": 1.2000000000000002e-06,
79
+ "loss": 0.6894,
80
+ "step": 12
81
+ },
82
+ {
83
+ "epoch": 0.2,
84
+ "learning_rate": 1.3e-06,
85
+ "loss": 0.6848,
86
+ "step": 13
87
+ },
88
+ {
89
+ "epoch": 0.21,
90
+ "learning_rate": 1.4000000000000001e-06,
91
+ "loss": 0.6854,
92
+ "step": 14
93
+ },
94
+ {
95
+ "epoch": 0.23,
96
+ "learning_rate": 1.5e-06,
97
+ "loss": 0.6875,
98
+ "step": 15
99
+ },
100
+ {
101
+ "epoch": 0.24,
102
+ "learning_rate": 1.6000000000000001e-06,
103
+ "loss": 0.7022,
104
+ "step": 16
105
+ },
106
+ {
107
+ "epoch": 0.26,
108
+ "learning_rate": 1.7000000000000002e-06,
109
+ "loss": 0.6683,
110
+ "step": 17
111
+ },
112
+ {
113
+ "epoch": 0.27,
114
+ "learning_rate": 1.8000000000000001e-06,
115
+ "loss": 0.7008,
116
+ "step": 18
117
+ },
118
+ {
119
+ "epoch": 0.29,
120
+ "learning_rate": 1.9000000000000002e-06,
121
+ "loss": 0.6789,
122
+ "step": 19
123
+ },
124
+ {
125
+ "epoch": 0.3,
126
+ "learning_rate": 2.0000000000000003e-06,
127
+ "loss": 0.7054,
128
+ "step": 20
129
+ },
130
+ {
131
+ "epoch": 0.32,
132
+ "learning_rate": 2.1000000000000002e-06,
133
+ "loss": 0.6824,
134
+ "step": 21
135
+ },
136
+ {
137
+ "epoch": 0.33,
138
+ "learning_rate": 2.2e-06,
139
+ "loss": 0.6826,
140
+ "step": 22
141
+ },
142
+ {
143
+ "epoch": 0.35,
144
+ "learning_rate": 2.3000000000000004e-06,
145
+ "loss": 0.688,
146
+ "step": 23
147
+ },
148
+ {
149
+ "epoch": 0.36,
150
+ "learning_rate": 2.4000000000000003e-06,
151
+ "loss": 0.6835,
152
+ "step": 24
153
+ },
154
+ {
155
+ "epoch": 0.38,
156
+ "learning_rate": 2.5e-06,
157
+ "loss": 0.7085,
158
+ "step": 25
159
+ },
160
+ {
161
+ "epoch": 0.39,
162
+ "learning_rate": 2.6e-06,
163
+ "loss": 0.7053,
164
+ "step": 26
165
+ },
166
+ {
167
+ "epoch": 0.41,
168
+ "learning_rate": 2.7000000000000004e-06,
169
+ "loss": 0.6684,
170
+ "step": 27
171
+ },
172
+ {
173
+ "epoch": 0.42,
174
+ "learning_rate": 2.8000000000000003e-06,
175
+ "loss": 0.6799,
176
+ "step": 28
177
+ },
178
+ {
179
+ "epoch": 0.44,
180
+ "learning_rate": 2.9e-06,
181
+ "loss": 0.6832,
182
+ "step": 29
183
+ },
184
+ {
185
+ "epoch": 0.45,
186
+ "learning_rate": 3e-06,
187
+ "loss": 0.6846,
188
+ "step": 30
189
+ },
190
+ {
191
+ "epoch": 0.47,
192
+ "learning_rate": 3.1000000000000004e-06,
193
+ "loss": 0.6922,
194
+ "step": 31
195
+ },
196
+ {
197
+ "epoch": 0.48,
198
+ "learning_rate": 3.2000000000000003e-06,
199
+ "loss": 0.6649,
200
+ "step": 32
201
+ },
202
+ {
203
+ "epoch": 0.5,
204
+ "learning_rate": 3.3000000000000006e-06,
205
+ "loss": 0.6956,
206
+ "step": 33
207
+ },
208
+ {
209
+ "epoch": 0.52,
210
+ "learning_rate": 3.4000000000000005e-06,
211
+ "loss": 0.6748,
212
+ "step": 34
213
+ },
214
+ {
215
+ "epoch": 0.53,
216
+ "learning_rate": 3.5e-06,
217
+ "loss": 0.686,
218
+ "step": 35
219
+ },
220
+ {
221
+ "epoch": 0.55,
222
+ "learning_rate": 3.6000000000000003e-06,
223
+ "loss": 0.6987,
224
+ "step": 36
225
+ },
226
+ {
227
+ "epoch": 0.56,
228
+ "learning_rate": 3.7e-06,
229
+ "loss": 0.7159,
230
+ "step": 37
231
+ },
232
+ {
233
+ "epoch": 0.58,
234
+ "learning_rate": 3.8000000000000005e-06,
235
+ "loss": 0.7099,
236
+ "step": 38
237
+ },
238
+ {
239
+ "epoch": 0.59,
240
+ "learning_rate": 3.900000000000001e-06,
241
+ "loss": 0.6821,
242
+ "step": 39
243
+ },
244
+ {
245
+ "epoch": 0.61,
246
+ "learning_rate": 4.000000000000001e-06,
247
+ "loss": 0.7196,
248
+ "step": 40
249
+ },
250
+ {
251
+ "epoch": 0.62,
252
+ "learning_rate": 4.1e-06,
253
+ "loss": 0.6929,
254
+ "step": 41
255
+ },
256
+ {
257
+ "epoch": 0.64,
258
+ "learning_rate": 4.2000000000000004e-06,
259
+ "loss": 0.6609,
260
+ "step": 42
261
+ },
262
+ {
263
+ "epoch": 0.65,
264
+ "learning_rate": 4.3e-06,
265
+ "loss": 0.6723,
266
+ "step": 43
267
+ },
268
+ {
269
+ "epoch": 0.67,
270
+ "learning_rate": 4.4e-06,
271
+ "loss": 0.6687,
272
+ "step": 44
273
+ },
274
+ {
275
+ "epoch": 0.68,
276
+ "learning_rate": 4.5e-06,
277
+ "loss": 0.6905,
278
+ "step": 45
279
+ },
280
+ {
281
+ "epoch": 0.7,
282
+ "learning_rate": 4.600000000000001e-06,
283
+ "loss": 0.703,
284
+ "step": 46
285
+ },
286
+ {
287
+ "epoch": 0.71,
288
+ "learning_rate": 4.7e-06,
289
+ "loss": 0.6729,
290
+ "step": 47
291
+ },
292
+ {
293
+ "epoch": 0.73,
294
+ "learning_rate": 4.800000000000001e-06,
295
+ "loss": 0.6754,
296
+ "step": 48
297
+ },
298
+ {
299
+ "epoch": 0.74,
300
+ "learning_rate": 4.9000000000000005e-06,
301
+ "loss": 0.6966,
302
+ "step": 49
303
+ },
304
+ {
305
+ "epoch": 0.76,
306
+ "learning_rate": 5e-06,
307
+ "loss": 0.6825,
308
+ "step": 50
309
+ },
310
+ {
311
+ "epoch": 0.77,
312
+ "learning_rate": 4.996062992125984e-06,
313
+ "loss": 0.6912,
314
+ "step": 51
315
+ },
316
+ {
317
+ "epoch": 0.79,
318
+ "learning_rate": 4.992125984251969e-06,
319
+ "loss": 0.6679,
320
+ "step": 52
321
+ },
322
+ {
323
+ "epoch": 0.8,
324
+ "learning_rate": 4.9881889763779535e-06,
325
+ "loss": 0.6755,
326
+ "step": 53
327
+ },
328
+ {
329
+ "epoch": 0.82,
330
+ "learning_rate": 4.984251968503937e-06,
331
+ "loss": 0.6728,
332
+ "step": 54
333
+ },
334
+ {
335
+ "epoch": 0.83,
336
+ "learning_rate": 4.980314960629922e-06,
337
+ "loss": 0.6923,
338
+ "step": 55
339
+ },
340
+ {
341
+ "epoch": 0.85,
342
+ "learning_rate": 4.976377952755906e-06,
343
+ "loss": 0.6701,
344
+ "step": 56
345
+ },
346
+ {
347
+ "epoch": 0.86,
348
+ "learning_rate": 4.97244094488189e-06,
349
+ "loss": 0.6872,
350
+ "step": 57
351
+ },
352
+ {
353
+ "epoch": 0.88,
354
+ "learning_rate": 4.968503937007874e-06,
355
+ "loss": 0.6747,
356
+ "step": 58
357
+ },
358
+ {
359
+ "epoch": 0.89,
360
+ "learning_rate": 4.964566929133859e-06,
361
+ "loss": 0.6365,
362
+ "step": 59
363
+ },
364
+ {
365
+ "epoch": 0.91,
366
+ "learning_rate": 4.960629921259843e-06,
367
+ "loss": 0.6946,
368
+ "step": 60
369
+ },
370
+ {
371
+ "epoch": 0.92,
372
+ "learning_rate": 4.956692913385827e-06,
373
+ "loss": 0.6871,
374
+ "step": 61
375
+ },
376
+ {
377
+ "epoch": 0.94,
378
+ "learning_rate": 4.952755905511811e-06,
379
+ "loss": 0.6927,
380
+ "step": 62
381
+ },
382
+ {
383
+ "epoch": 0.95,
384
+ "learning_rate": 4.948818897637796e-06,
385
+ "loss": 0.6347,
386
+ "step": 63
387
+ },
388
+ {
389
+ "epoch": 0.97,
390
+ "learning_rate": 4.94488188976378e-06,
391
+ "loss": 0.6879,
392
+ "step": 64
393
+ },
394
+ {
395
+ "epoch": 0.98,
396
+ "learning_rate": 4.940944881889764e-06,
397
+ "loss": 0.664,
398
+ "step": 65
399
+ },
400
+ {
401
+ "epoch": 1.0,
402
+ "learning_rate": 4.937007874015749e-06,
403
+ "loss": 0.6729,
404
+ "step": 66
405
+ },
406
+ {
407
+ "epoch": 1.0,
408
+ "eval_accuracy": 0.6060606060606061,
409
+ "eval_loss": 0.6856966614723206,
410
+ "eval_runtime": 6.2798,
411
+ "eval_samples_per_second": 10.51,
412
+ "eval_steps_per_second": 2.707,
413
+ "step": 66
414
+ },
415
+ {
416
+ "epoch": 1.02,
417
+ "learning_rate": 4.9330708661417326e-06,
418
+ "loss": 0.6889,
419
+ "step": 67
420
+ },
421
+ {
422
+ "epoch": 1.03,
423
+ "learning_rate": 4.929133858267716e-06,
424
+ "loss": 0.6719,
425
+ "step": 68
426
+ },
427
+ {
428
+ "epoch": 1.05,
429
+ "learning_rate": 4.925196850393702e-06,
430
+ "loss": 0.6741,
431
+ "step": 69
432
+ },
433
+ {
434
+ "epoch": 1.06,
435
+ "learning_rate": 4.921259842519686e-06,
436
+ "loss": 0.6327,
437
+ "step": 70
438
+ },
439
+ {
440
+ "epoch": 1.08,
441
+ "learning_rate": 4.9173228346456694e-06,
442
+ "loss": 0.6793,
443
+ "step": 71
444
+ },
445
+ {
446
+ "epoch": 1.09,
447
+ "learning_rate": 4.913385826771654e-06,
448
+ "loss": 0.672,
449
+ "step": 72
450
+ },
451
+ {
452
+ "epoch": 1.11,
453
+ "learning_rate": 4.909448818897638e-06,
454
+ "loss": 0.6736,
455
+ "step": 73
456
+ },
457
+ {
458
+ "epoch": 1.12,
459
+ "learning_rate": 4.9055118110236225e-06,
460
+ "loss": 0.6702,
461
+ "step": 74
462
+ },
463
+ {
464
+ "epoch": 1.14,
465
+ "learning_rate": 4.901574803149607e-06,
466
+ "loss": 0.6439,
467
+ "step": 75
468
+ },
469
+ {
470
+ "epoch": 1.15,
471
+ "learning_rate": 4.897637795275591e-06,
472
+ "loss": 0.6697,
473
+ "step": 76
474
+ },
475
+ {
476
+ "epoch": 1.17,
477
+ "learning_rate": 4.893700787401575e-06,
478
+ "loss": 0.6766,
479
+ "step": 77
480
+ },
481
+ {
482
+ "epoch": 1.18,
483
+ "learning_rate": 4.889763779527559e-06,
484
+ "loss": 0.6173,
485
+ "step": 78
486
+ },
487
+ {
488
+ "epoch": 1.2,
489
+ "learning_rate": 4.885826771653543e-06,
490
+ "loss": 0.6802,
491
+ "step": 79
492
+ },
493
+ {
494
+ "epoch": 1.21,
495
+ "learning_rate": 4.881889763779528e-06,
496
+ "loss": 0.6312,
497
+ "step": 80
498
+ },
499
+ {
500
+ "epoch": 1.23,
501
+ "learning_rate": 4.8779527559055125e-06,
502
+ "loss": 0.6695,
503
+ "step": 81
504
+ },
505
+ {
506
+ "epoch": 1.24,
507
+ "learning_rate": 4.874015748031496e-06,
508
+ "loss": 0.6467,
509
+ "step": 82
510
+ },
511
+ {
512
+ "epoch": 1.26,
513
+ "learning_rate": 4.870078740157481e-06,
514
+ "loss": 0.6835,
515
+ "step": 83
516
+ },
517
+ {
518
+ "epoch": 1.27,
519
+ "learning_rate": 4.866141732283465e-06,
520
+ "loss": 0.638,
521
+ "step": 84
522
+ },
523
+ {
524
+ "epoch": 1.29,
525
+ "learning_rate": 4.862204724409449e-06,
526
+ "loss": 0.6197,
527
+ "step": 85
528
+ },
529
+ {
530
+ "epoch": 1.3,
531
+ "learning_rate": 4.858267716535434e-06,
532
+ "loss": 0.6398,
533
+ "step": 86
534
+ },
535
+ {
536
+ "epoch": 1.32,
537
+ "learning_rate": 4.854330708661418e-06,
538
+ "loss": 0.6617,
539
+ "step": 87
540
+ },
541
+ {
542
+ "epoch": 1.33,
543
+ "learning_rate": 4.850393700787402e-06,
544
+ "loss": 0.6413,
545
+ "step": 88
546
+ },
547
+ {
548
+ "epoch": 1.35,
549
+ "learning_rate": 4.846456692913386e-06,
550
+ "loss": 0.6386,
551
+ "step": 89
552
+ },
553
+ {
554
+ "epoch": 1.36,
555
+ "learning_rate": 4.84251968503937e-06,
556
+ "loss": 0.6712,
557
+ "step": 90
558
+ },
559
+ {
560
+ "epoch": 1.38,
561
+ "learning_rate": 4.838582677165355e-06,
562
+ "loss": 0.6349,
563
+ "step": 91
564
+ },
565
+ {
566
+ "epoch": 1.39,
567
+ "learning_rate": 4.834645669291339e-06,
568
+ "loss": 0.659,
569
+ "step": 92
570
+ },
571
+ {
572
+ "epoch": 1.41,
573
+ "learning_rate": 4.830708661417323e-06,
574
+ "loss": 0.6665,
575
+ "step": 93
576
+ },
577
+ {
578
+ "epoch": 1.42,
579
+ "learning_rate": 4.826771653543308e-06,
580
+ "loss": 0.6042,
581
+ "step": 94
582
+ },
583
+ {
584
+ "epoch": 1.44,
585
+ "learning_rate": 4.8228346456692916e-06,
586
+ "loss": 0.6762,
587
+ "step": 95
588
+ },
589
+ {
590
+ "epoch": 1.45,
591
+ "learning_rate": 4.818897637795276e-06,
592
+ "loss": 0.5887,
593
+ "step": 96
594
+ },
595
+ {
596
+ "epoch": 1.47,
597
+ "learning_rate": 4.81496062992126e-06,
598
+ "loss": 0.6614,
599
+ "step": 97
600
+ },
601
+ {
602
+ "epoch": 1.48,
603
+ "learning_rate": 4.811023622047245e-06,
604
+ "loss": 0.6639,
605
+ "step": 98
606
+ },
607
+ {
608
+ "epoch": 1.5,
609
+ "learning_rate": 4.8070866141732284e-06,
610
+ "loss": 0.6283,
611
+ "step": 99
612
+ },
613
+ {
614
+ "epoch": 1.52,
615
+ "learning_rate": 4.803149606299213e-06,
616
+ "loss": 0.6996,
617
+ "step": 100
618
+ },
619
+ {
620
+ "epoch": 1.53,
621
+ "learning_rate": 4.799212598425198e-06,
622
+ "loss": 0.6321,
623
+ "step": 101
624
+ },
625
+ {
626
+ "epoch": 1.55,
627
+ "learning_rate": 4.7952755905511815e-06,
628
+ "loss": 0.6023,
629
+ "step": 102
630
+ },
631
+ {
632
+ "epoch": 1.56,
633
+ "learning_rate": 4.791338582677166e-06,
634
+ "loss": 0.6921,
635
+ "step": 103
636
+ },
637
+ {
638
+ "epoch": 1.58,
639
+ "learning_rate": 4.78740157480315e-06,
640
+ "loss": 0.6572,
641
+ "step": 104
642
+ },
643
+ {
644
+ "epoch": 1.59,
645
+ "learning_rate": 4.783464566929134e-06,
646
+ "loss": 0.6463,
647
+ "step": 105
648
+ },
649
+ {
650
+ "epoch": 1.61,
651
+ "learning_rate": 4.779527559055118e-06,
652
+ "loss": 0.5887,
653
+ "step": 106
654
+ },
655
+ {
656
+ "epoch": 1.62,
657
+ "learning_rate": 4.775590551181103e-06,
658
+ "loss": 0.6794,
659
+ "step": 107
660
+ },
661
+ {
662
+ "epoch": 1.64,
663
+ "learning_rate": 4.771653543307087e-06,
664
+ "loss": 0.6947,
665
+ "step": 108
666
+ },
667
+ {
668
+ "epoch": 1.65,
669
+ "learning_rate": 4.7677165354330715e-06,
670
+ "loss": 0.6205,
671
+ "step": 109
672
+ },
673
+ {
674
+ "epoch": 1.67,
675
+ "learning_rate": 4.763779527559055e-06,
676
+ "loss": 0.6743,
677
+ "step": 110
678
+ },
679
+ {
680
+ "epoch": 1.68,
681
+ "learning_rate": 4.75984251968504e-06,
682
+ "loss": 0.6543,
683
+ "step": 111
684
+ },
685
+ {
686
+ "epoch": 1.7,
687
+ "learning_rate": 4.7559055118110246e-06,
688
+ "loss": 0.6636,
689
+ "step": 112
690
+ },
691
+ {
692
+ "epoch": 1.71,
693
+ "learning_rate": 4.751968503937008e-06,
694
+ "loss": 0.6826,
695
+ "step": 113
696
+ },
697
+ {
698
+ "epoch": 1.73,
699
+ "learning_rate": 4.748031496062992e-06,
700
+ "loss": 0.6454,
701
+ "step": 114
702
+ },
703
+ {
704
+ "epoch": 1.74,
705
+ "learning_rate": 4.744094488188977e-06,
706
+ "loss": 0.6453,
707
+ "step": 115
708
+ },
709
+ {
710
+ "epoch": 1.76,
711
+ "learning_rate": 4.740157480314961e-06,
712
+ "loss": 0.681,
713
+ "step": 116
714
+ },
715
+ {
716
+ "epoch": 1.77,
717
+ "learning_rate": 4.736220472440945e-06,
718
+ "loss": 0.5993,
719
+ "step": 117
720
+ },
721
+ {
722
+ "epoch": 1.79,
723
+ "learning_rate": 4.73228346456693e-06,
724
+ "loss": 0.6114,
725
+ "step": 118
726
+ },
727
+ {
728
+ "epoch": 1.8,
729
+ "learning_rate": 4.728346456692914e-06,
730
+ "loss": 0.6765,
731
+ "step": 119
732
+ },
733
+ {
734
+ "epoch": 1.82,
735
+ "learning_rate": 4.724409448818898e-06,
736
+ "loss": 0.7033,
737
+ "step": 120
738
+ },
739
+ {
740
+ "epoch": 1.83,
741
+ "learning_rate": 4.720472440944882e-06,
742
+ "loss": 0.64,
743
+ "step": 121
744
+ },
745
+ {
746
+ "epoch": 1.85,
747
+ "learning_rate": 4.716535433070866e-06,
748
+ "loss": 0.6224,
749
+ "step": 122
750
+ },
751
+ {
752
+ "epoch": 1.86,
753
+ "learning_rate": 4.7125984251968506e-06,
754
+ "loss": 0.5752,
755
+ "step": 123
756
+ },
757
+ {
758
+ "epoch": 1.88,
759
+ "learning_rate": 4.708661417322835e-06,
760
+ "loss": 0.6047,
761
+ "step": 124
762
+ },
763
+ {
764
+ "epoch": 1.89,
765
+ "learning_rate": 4.704724409448819e-06,
766
+ "loss": 0.6562,
767
+ "step": 125
768
+ },
769
+ {
770
+ "epoch": 1.91,
771
+ "learning_rate": 4.700787401574804e-06,
772
+ "loss": 0.6247,
773
+ "step": 126
774
+ },
775
+ {
776
+ "epoch": 1.92,
777
+ "learning_rate": 4.6968503937007874e-06,
778
+ "loss": 0.6994,
779
+ "step": 127
780
+ },
781
+ {
782
+ "epoch": 1.94,
783
+ "learning_rate": 4.692913385826772e-06,
784
+ "loss": 0.7222,
785
+ "step": 128
786
+ },
787
+ {
788
+ "epoch": 1.95,
789
+ "learning_rate": 4.688976377952757e-06,
790
+ "loss": 0.6639,
791
+ "step": 129
792
+ },
793
+ {
794
+ "epoch": 1.97,
795
+ "learning_rate": 4.6850393700787405e-06,
796
+ "loss": 0.6009,
797
+ "step": 130
798
+ },
799
+ {
800
+ "epoch": 1.98,
801
+ "learning_rate": 4.681102362204724e-06,
802
+ "loss": 0.6718,
803
+ "step": 131
804
+ },
805
+ {
806
+ "epoch": 2.0,
807
+ "learning_rate": 4.677165354330709e-06,
808
+ "loss": 0.5929,
809
+ "step": 132
810
+ },
811
+ {
812
+ "epoch": 2.0,
813
+ "eval_accuracy": 0.7121212121212122,
814
+ "eval_loss": 0.6547654867172241,
815
+ "eval_runtime": 6.4368,
816
+ "eval_samples_per_second": 10.254,
817
+ "eval_steps_per_second": 2.641,
818
+ "step": 132
819
+ },
820
+ {
821
+ "epoch": 2.02,
822
+ "learning_rate": 4.673228346456694e-06,
823
+ "loss": 0.5657,
824
+ "step": 133
825
+ },
826
+ {
827
+ "epoch": 2.03,
828
+ "learning_rate": 4.669291338582677e-06,
829
+ "loss": 0.6252,
830
+ "step": 134
831
+ },
832
+ {
833
+ "epoch": 2.05,
834
+ "learning_rate": 4.665354330708662e-06,
835
+ "loss": 0.5993,
836
+ "step": 135
837
+ },
838
+ {
839
+ "epoch": 2.06,
840
+ "learning_rate": 4.661417322834646e-06,
841
+ "loss": 0.6276,
842
+ "step": 136
843
+ },
844
+ {
845
+ "epoch": 2.08,
846
+ "learning_rate": 4.6574803149606305e-06,
847
+ "loss": 0.5883,
848
+ "step": 137
849
+ },
850
+ {
851
+ "epoch": 2.09,
852
+ "learning_rate": 4.653543307086614e-06,
853
+ "loss": 0.6206,
854
+ "step": 138
855
+ },
856
+ {
857
+ "epoch": 2.11,
858
+ "learning_rate": 4.649606299212599e-06,
859
+ "loss": 0.5486,
860
+ "step": 139
861
+ },
862
+ {
863
+ "epoch": 2.12,
864
+ "learning_rate": 4.645669291338583e-06,
865
+ "loss": 0.5415,
866
+ "step": 140
867
+ },
868
+ {
869
+ "epoch": 2.14,
870
+ "learning_rate": 4.641732283464567e-06,
871
+ "loss": 0.6378,
872
+ "step": 141
873
+ },
874
+ {
875
+ "epoch": 2.15,
876
+ "learning_rate": 4.637795275590551e-06,
877
+ "loss": 0.5229,
878
+ "step": 142
879
+ },
880
+ {
881
+ "epoch": 2.17,
882
+ "learning_rate": 4.633858267716536e-06,
883
+ "loss": 0.6823,
884
+ "step": 143
885
+ },
886
+ {
887
+ "epoch": 2.18,
888
+ "learning_rate": 4.6299212598425204e-06,
889
+ "loss": 0.7012,
890
+ "step": 144
891
+ },
892
+ {
893
+ "epoch": 2.2,
894
+ "learning_rate": 4.625984251968504e-06,
895
+ "loss": 0.6254,
896
+ "step": 145
897
+ },
898
+ {
899
+ "epoch": 2.21,
900
+ "learning_rate": 4.622047244094489e-06,
901
+ "loss": 0.6011,
902
+ "step": 146
903
+ },
904
+ {
905
+ "epoch": 2.23,
906
+ "learning_rate": 4.618110236220473e-06,
907
+ "loss": 0.5934,
908
+ "step": 147
909
+ },
910
+ {
911
+ "epoch": 2.24,
912
+ "learning_rate": 4.6141732283464565e-06,
913
+ "loss": 0.7028,
914
+ "step": 148
915
+ },
916
+ {
917
+ "epoch": 2.26,
918
+ "learning_rate": 4.610236220472442e-06,
919
+ "loss": 0.5105,
920
+ "step": 149
921
+ },
922
+ {
923
+ "epoch": 2.27,
924
+ "learning_rate": 4.606299212598426e-06,
925
+ "loss": 0.6125,
926
+ "step": 150
927
+ },
928
+ {
929
+ "epoch": 2.29,
930
+ "learning_rate": 4.6023622047244096e-06,
931
+ "loss": 0.6041,
932
+ "step": 151
933
+ },
934
+ {
935
+ "epoch": 2.3,
936
+ "learning_rate": 4.598425196850394e-06,
937
+ "loss": 0.5185,
938
+ "step": 152
939
+ },
940
+ {
941
+ "epoch": 2.32,
942
+ "learning_rate": 4.594488188976378e-06,
943
+ "loss": 0.6009,
944
+ "step": 153
945
+ },
946
+ {
947
+ "epoch": 2.33,
948
+ "learning_rate": 4.590551181102363e-06,
949
+ "loss": 0.6171,
950
+ "step": 154
951
+ },
952
+ {
953
+ "epoch": 2.35,
954
+ "learning_rate": 4.586614173228347e-06,
955
+ "loss": 0.5724,
956
+ "step": 155
957
+ },
958
+ {
959
+ "epoch": 2.36,
960
+ "learning_rate": 4.582677165354331e-06,
961
+ "loss": 0.5557,
962
+ "step": 156
963
+ },
964
+ {
965
+ "epoch": 2.38,
966
+ "learning_rate": 4.578740157480316e-06,
967
+ "loss": 0.5141,
968
+ "step": 157
969
+ },
970
+ {
971
+ "epoch": 2.39,
972
+ "learning_rate": 4.5748031496062995e-06,
973
+ "loss": 0.5375,
974
+ "step": 158
975
+ },
976
+ {
977
+ "epoch": 2.41,
978
+ "learning_rate": 4.570866141732283e-06,
979
+ "loss": 0.5167,
980
+ "step": 159
981
+ },
982
+ {
983
+ "epoch": 2.42,
984
+ "learning_rate": 4.566929133858268e-06,
985
+ "loss": 0.7095,
986
+ "step": 160
987
+ },
988
+ {
989
+ "epoch": 2.44,
990
+ "learning_rate": 4.562992125984253e-06,
991
+ "loss": 0.6252,
992
+ "step": 161
993
+ },
994
+ {
995
+ "epoch": 2.45,
996
+ "learning_rate": 4.559055118110236e-06,
997
+ "loss": 0.5686,
998
+ "step": 162
999
+ },
1000
+ {
1001
+ "epoch": 2.47,
1002
+ "learning_rate": 4.555118110236221e-06,
1003
+ "loss": 0.5789,
1004
+ "step": 163
1005
+ },
1006
+ {
1007
+ "epoch": 2.48,
1008
+ "learning_rate": 4.551181102362205e-06,
1009
+ "loss": 0.4726,
1010
+ "step": 164
1011
+ },
1012
+ {
1013
+ "epoch": 2.5,
1014
+ "learning_rate": 4.5472440944881895e-06,
1015
+ "loss": 0.6467,
1016
+ "step": 165
1017
+ },
1018
+ {
1019
+ "epoch": 2.52,
1020
+ "learning_rate": 4.543307086614174e-06,
1021
+ "loss": 0.4756,
1022
+ "step": 166
1023
+ },
1024
+ {
1025
+ "epoch": 2.53,
1026
+ "learning_rate": 4.539370078740158e-06,
1027
+ "loss": 0.5845,
1028
+ "step": 167
1029
+ },
1030
+ {
1031
+ "epoch": 2.55,
1032
+ "learning_rate": 4.535433070866142e-06,
1033
+ "loss": 0.5993,
1034
+ "step": 168
1035
+ },
1036
+ {
1037
+ "epoch": 2.56,
1038
+ "learning_rate": 4.531496062992126e-06,
1039
+ "loss": 0.6704,
1040
+ "step": 169
1041
+ },
1042
+ {
1043
+ "epoch": 2.58,
1044
+ "learning_rate": 4.52755905511811e-06,
1045
+ "loss": 0.5848,
1046
+ "step": 170
1047
+ },
1048
+ {
1049
+ "epoch": 2.59,
1050
+ "learning_rate": 4.523622047244095e-06,
1051
+ "loss": 0.459,
1052
+ "step": 171
1053
+ },
1054
+ {
1055
+ "epoch": 2.61,
1056
+ "learning_rate": 4.5196850393700794e-06,
1057
+ "loss": 0.7056,
1058
+ "step": 172
1059
+ },
1060
+ {
1061
+ "epoch": 2.62,
1062
+ "learning_rate": 4.515748031496063e-06,
1063
+ "loss": 0.6121,
1064
+ "step": 173
1065
+ },
1066
+ {
1067
+ "epoch": 2.64,
1068
+ "learning_rate": 4.511811023622048e-06,
1069
+ "loss": 0.641,
1070
+ "step": 174
1071
+ },
1072
+ {
1073
+ "epoch": 2.65,
1074
+ "learning_rate": 4.507874015748032e-06,
1075
+ "loss": 0.5589,
1076
+ "step": 175
1077
+ },
1078
+ {
1079
+ "epoch": 2.67,
1080
+ "learning_rate": 4.503937007874016e-06,
1081
+ "loss": 0.4841,
1082
+ "step": 176
1083
+ },
1084
+ {
1085
+ "epoch": 2.68,
1086
+ "learning_rate": 4.5e-06,
1087
+ "loss": 0.5499,
1088
+ "step": 177
1089
+ },
1090
+ {
1091
+ "epoch": 2.7,
1092
+ "learning_rate": 4.496062992125985e-06,
1093
+ "loss": 0.6007,
1094
+ "step": 178
1095
+ },
1096
+ {
1097
+ "epoch": 2.71,
1098
+ "learning_rate": 4.4921259842519686e-06,
1099
+ "loss": 0.6004,
1100
+ "step": 179
1101
+ },
1102
+ {
1103
+ "epoch": 2.73,
1104
+ "learning_rate": 4.488188976377953e-06,
1105
+ "loss": 0.5338,
1106
+ "step": 180
1107
+ },
1108
+ {
1109
+ "epoch": 2.74,
1110
+ "learning_rate": 4.484251968503938e-06,
1111
+ "loss": 0.4604,
1112
+ "step": 181
1113
+ },
1114
+ {
1115
+ "epoch": 2.76,
1116
+ "learning_rate": 4.480314960629922e-06,
1117
+ "loss": 0.5016,
1118
+ "step": 182
1119
+ },
1120
+ {
1121
+ "epoch": 2.77,
1122
+ "learning_rate": 4.476377952755906e-06,
1123
+ "loss": 0.477,
1124
+ "step": 183
1125
+ },
1126
+ {
1127
+ "epoch": 2.79,
1128
+ "learning_rate": 4.47244094488189e-06,
1129
+ "loss": 0.5267,
1130
+ "step": 184
1131
+ },
1132
+ {
1133
+ "epoch": 2.8,
1134
+ "learning_rate": 4.468503937007874e-06,
1135
+ "loss": 0.5974,
1136
+ "step": 185
1137
+ },
1138
+ {
1139
+ "epoch": 2.82,
1140
+ "learning_rate": 4.4645669291338585e-06,
1141
+ "loss": 0.6451,
1142
+ "step": 186
1143
+ },
1144
+ {
1145
+ "epoch": 2.83,
1146
+ "learning_rate": 4.460629921259843e-06,
1147
+ "loss": 0.4955,
1148
+ "step": 187
1149
+ },
1150
+ {
1151
+ "epoch": 2.85,
1152
+ "learning_rate": 4.456692913385827e-06,
1153
+ "loss": 0.5164,
1154
+ "step": 188
1155
+ },
1156
+ {
1157
+ "epoch": 2.86,
1158
+ "learning_rate": 4.452755905511812e-06,
1159
+ "loss": 0.6009,
1160
+ "step": 189
1161
+ },
1162
+ {
1163
+ "epoch": 2.88,
1164
+ "learning_rate": 4.448818897637795e-06,
1165
+ "loss": 0.4405,
1166
+ "step": 190
1167
+ },
1168
+ {
1169
+ "epoch": 2.89,
1170
+ "learning_rate": 4.44488188976378e-06,
1171
+ "loss": 0.6577,
1172
+ "step": 191
1173
+ },
1174
+ {
1175
+ "epoch": 2.91,
1176
+ "learning_rate": 4.440944881889765e-06,
1177
+ "loss": 0.5552,
1178
+ "step": 192
1179
+ },
1180
+ {
1181
+ "epoch": 2.92,
1182
+ "learning_rate": 4.4370078740157485e-06,
1183
+ "loss": 0.4946,
1184
+ "step": 193
1185
+ },
1186
+ {
1187
+ "epoch": 2.94,
1188
+ "learning_rate": 4.433070866141732e-06,
1189
+ "loss": 0.6111,
1190
+ "step": 194
1191
+ },
1192
+ {
1193
+ "epoch": 2.95,
1194
+ "learning_rate": 4.429133858267717e-06,
1195
+ "loss": 0.6654,
1196
+ "step": 195
1197
+ },
1198
+ {
1199
+ "epoch": 2.97,
1200
+ "learning_rate": 4.425196850393701e-06,
1201
+ "loss": 0.5907,
1202
+ "step": 196
1203
+ },
1204
+ {
1205
+ "epoch": 2.98,
1206
+ "learning_rate": 4.421259842519685e-06,
1207
+ "loss": 0.4857,
1208
+ "step": 197
1209
+ },
1210
+ {
1211
+ "epoch": 3.0,
1212
+ "learning_rate": 4.41732283464567e-06,
1213
+ "loss": 0.3732,
1214
+ "step": 198
1215
+ },
1216
+ {
1217
+ "epoch": 3.0,
1218
+ "eval_accuracy": 0.803030303030303,
1219
+ "eval_loss": 0.567893385887146,
1220
+ "eval_runtime": 6.3298,
1221
+ "eval_samples_per_second": 10.427,
1222
+ "eval_steps_per_second": 2.686,
1223
+ "step": 198
1224
+ },
1225
+ {
1226
+ "epoch": 3.02,
1227
+ "learning_rate": 4.413385826771654e-06,
1228
+ "loss": 0.5889,
1229
+ "step": 199
1230
+ },
1231
+ {
1232
+ "epoch": 3.03,
1233
+ "learning_rate": 4.4094488188976384e-06,
1234
+ "loss": 0.5622,
1235
+ "step": 200
1236
+ },
1237
+ {
1238
+ "epoch": 3.05,
1239
+ "learning_rate": 4.405511811023622e-06,
1240
+ "loss": 0.5293,
1241
+ "step": 201
1242
+ },
1243
+ {
1244
+ "epoch": 3.06,
1245
+ "learning_rate": 4.401574803149606e-06,
1246
+ "loss": 0.5314,
1247
+ "step": 202
1248
+ },
1249
+ {
1250
+ "epoch": 3.08,
1251
+ "learning_rate": 4.397637795275591e-06,
1252
+ "loss": 0.558,
1253
+ "step": 203
1254
+ },
1255
+ {
1256
+ "epoch": 3.09,
1257
+ "learning_rate": 4.393700787401575e-06,
1258
+ "loss": 0.6215,
1259
+ "step": 204
1260
+ },
1261
+ {
1262
+ "epoch": 3.11,
1263
+ "learning_rate": 4.389763779527559e-06,
1264
+ "loss": 0.5632,
1265
+ "step": 205
1266
+ },
1267
+ {
1268
+ "epoch": 3.12,
1269
+ "learning_rate": 4.385826771653544e-06,
1270
+ "loss": 0.4325,
1271
+ "step": 206
1272
+ },
1273
+ {
1274
+ "epoch": 3.14,
1275
+ "learning_rate": 4.3818897637795276e-06,
1276
+ "loss": 0.4294,
1277
+ "step": 207
1278
+ },
1279
+ {
1280
+ "epoch": 3.15,
1281
+ "learning_rate": 4.377952755905512e-06,
1282
+ "loss": 0.5966,
1283
+ "step": 208
1284
+ },
1285
+ {
1286
+ "epoch": 3.17,
1287
+ "learning_rate": 4.374015748031497e-06,
1288
+ "loss": 0.4259,
1289
+ "step": 209
1290
+ },
1291
+ {
1292
+ "epoch": 3.18,
1293
+ "learning_rate": 4.370078740157481e-06,
1294
+ "loss": 0.5215,
1295
+ "step": 210
1296
+ },
1297
+ {
1298
+ "epoch": 3.2,
1299
+ "learning_rate": 4.3661417322834644e-06,
1300
+ "loss": 0.5925,
1301
+ "step": 211
1302
+ },
1303
+ {
1304
+ "epoch": 3.21,
1305
+ "learning_rate": 4.362204724409449e-06,
1306
+ "loss": 0.6151,
1307
+ "step": 212
1308
+ },
1309
+ {
1310
+ "epoch": 3.23,
1311
+ "learning_rate": 4.358267716535434e-06,
1312
+ "loss": 0.4599,
1313
+ "step": 213
1314
+ },
1315
+ {
1316
+ "epoch": 3.24,
1317
+ "learning_rate": 4.3543307086614175e-06,
1318
+ "loss": 0.4949,
1319
+ "step": 214
1320
+ },
1321
+ {
1322
+ "epoch": 3.26,
1323
+ "learning_rate": 4.350393700787402e-06,
1324
+ "loss": 0.5712,
1325
+ "step": 215
1326
+ },
1327
+ {
1328
+ "epoch": 3.27,
1329
+ "learning_rate": 4.346456692913386e-06,
1330
+ "loss": 0.4125,
1331
+ "step": 216
1332
+ },
1333
+ {
1334
+ "epoch": 3.29,
1335
+ "learning_rate": 4.342519685039371e-06,
1336
+ "loss": 0.5483,
1337
+ "step": 217
1338
+ },
1339
+ {
1340
+ "epoch": 3.3,
1341
+ "learning_rate": 4.338582677165354e-06,
1342
+ "loss": 0.4794,
1343
+ "step": 218
1344
+ },
1345
+ {
1346
+ "epoch": 3.32,
1347
+ "learning_rate": 4.334645669291339e-06,
1348
+ "loss": 0.5533,
1349
+ "step": 219
1350
+ },
1351
+ {
1352
+ "epoch": 3.33,
1353
+ "learning_rate": 4.330708661417324e-06,
1354
+ "loss": 0.6201,
1355
+ "step": 220
1356
+ },
1357
+ {
1358
+ "epoch": 3.35,
1359
+ "learning_rate": 4.3267716535433075e-06,
1360
+ "loss": 0.3873,
1361
+ "step": 221
1362
+ },
1363
+ {
1364
+ "epoch": 3.36,
1365
+ "learning_rate": 4.322834645669291e-06,
1366
+ "loss": 0.3827,
1367
+ "step": 222
1368
+ },
1369
+ {
1370
+ "epoch": 3.38,
1371
+ "learning_rate": 4.318897637795276e-06,
1372
+ "loss": 0.5698,
1373
+ "step": 223
1374
+ },
1375
+ {
1376
+ "epoch": 3.39,
1377
+ "learning_rate": 4.3149606299212606e-06,
1378
+ "loss": 0.3458,
1379
+ "step": 224
1380
+ },
1381
+ {
1382
+ "epoch": 3.41,
1383
+ "learning_rate": 4.311023622047244e-06,
1384
+ "loss": 0.5704,
1385
+ "step": 225
1386
+ },
1387
+ {
1388
+ "epoch": 3.42,
1389
+ "learning_rate": 4.307086614173229e-06,
1390
+ "loss": 0.432,
1391
+ "step": 226
1392
+ },
1393
+ {
1394
+ "epoch": 3.44,
1395
+ "learning_rate": 4.303149606299213e-06,
1396
+ "loss": 0.706,
1397
+ "step": 227
1398
+ },
1399
+ {
1400
+ "epoch": 3.45,
1401
+ "learning_rate": 4.299212598425197e-06,
1402
+ "loss": 0.5699,
1403
+ "step": 228
1404
+ },
1405
+ {
1406
+ "epoch": 3.47,
1407
+ "learning_rate": 4.295275590551182e-06,
1408
+ "loss": 0.5042,
1409
+ "step": 229
1410
+ },
1411
+ {
1412
+ "epoch": 3.48,
1413
+ "learning_rate": 4.291338582677166e-06,
1414
+ "loss": 0.3555,
1415
+ "step": 230
1416
+ },
1417
+ {
1418
+ "epoch": 3.5,
1419
+ "learning_rate": 4.28740157480315e-06,
1420
+ "loss": 0.4435,
1421
+ "step": 231
1422
+ },
1423
+ {
1424
+ "epoch": 3.52,
1425
+ "learning_rate": 4.283464566929134e-06,
1426
+ "loss": 0.516,
1427
+ "step": 232
1428
+ },
1429
+ {
1430
+ "epoch": 3.53,
1431
+ "learning_rate": 4.279527559055118e-06,
1432
+ "loss": 0.3766,
1433
+ "step": 233
1434
+ },
1435
+ {
1436
+ "epoch": 3.55,
1437
+ "learning_rate": 4.275590551181103e-06,
1438
+ "loss": 0.3667,
1439
+ "step": 234
1440
+ },
1441
+ {
1442
+ "epoch": 3.56,
1443
+ "learning_rate": 4.271653543307087e-06,
1444
+ "loss": 0.4945,
1445
+ "step": 235
1446
+ },
1447
+ {
1448
+ "epoch": 3.58,
1449
+ "learning_rate": 4.267716535433071e-06,
1450
+ "loss": 0.3392,
1451
+ "step": 236
1452
+ },
1453
+ {
1454
+ "epoch": 3.59,
1455
+ "learning_rate": 4.263779527559056e-06,
1456
+ "loss": 0.5006,
1457
+ "step": 237
1458
+ },
1459
+ {
1460
+ "epoch": 3.61,
1461
+ "learning_rate": 4.25984251968504e-06,
1462
+ "loss": 0.3513,
1463
+ "step": 238
1464
+ },
1465
+ {
1466
+ "epoch": 3.62,
1467
+ "learning_rate": 4.2559055118110234e-06,
1468
+ "loss": 0.5244,
1469
+ "step": 239
1470
+ },
1471
+ {
1472
+ "epoch": 3.64,
1473
+ "learning_rate": 4.251968503937008e-06,
1474
+ "loss": 0.5114,
1475
+ "step": 240
1476
+ },
1477
+ {
1478
+ "epoch": 3.65,
1479
+ "learning_rate": 4.248031496062993e-06,
1480
+ "loss": 0.2958,
1481
+ "step": 241
1482
+ },
1483
+ {
1484
+ "epoch": 3.67,
1485
+ "learning_rate": 4.2440944881889765e-06,
1486
+ "loss": 0.3114,
1487
+ "step": 242
1488
+ },
1489
+ {
1490
+ "epoch": 3.68,
1491
+ "learning_rate": 4.240157480314961e-06,
1492
+ "loss": 0.3446,
1493
+ "step": 243
1494
+ },
1495
+ {
1496
+ "epoch": 3.7,
1497
+ "learning_rate": 4.236220472440945e-06,
1498
+ "loss": 0.4279,
1499
+ "step": 244
1500
+ },
1501
+ {
1502
+ "epoch": 3.71,
1503
+ "learning_rate": 4.23228346456693e-06,
1504
+ "loss": 0.3878,
1505
+ "step": 245
1506
+ },
1507
+ {
1508
+ "epoch": 3.73,
1509
+ "learning_rate": 4.228346456692914e-06,
1510
+ "loss": 0.7247,
1511
+ "step": 246
1512
+ },
1513
+ {
1514
+ "epoch": 3.74,
1515
+ "learning_rate": 4.224409448818898e-06,
1516
+ "loss": 0.3515,
1517
+ "step": 247
1518
+ },
1519
+ {
1520
+ "epoch": 3.76,
1521
+ "learning_rate": 4.220472440944882e-06,
1522
+ "loss": 0.4386,
1523
+ "step": 248
1524
+ },
1525
+ {
1526
+ "epoch": 3.77,
1527
+ "learning_rate": 4.2165354330708665e-06,
1528
+ "loss": 0.3985,
1529
+ "step": 249
1530
+ },
1531
+ {
1532
+ "epoch": 3.79,
1533
+ "learning_rate": 4.21259842519685e-06,
1534
+ "loss": 0.2859,
1535
+ "step": 250
1536
+ },
1537
+ {
1538
+ "epoch": 3.8,
1539
+ "learning_rate": 4.208661417322835e-06,
1540
+ "loss": 0.6352,
1541
+ "step": 251
1542
+ },
1543
+ {
1544
+ "epoch": 3.82,
1545
+ "learning_rate": 4.2047244094488196e-06,
1546
+ "loss": 0.3076,
1547
+ "step": 252
1548
+ },
1549
+ {
1550
+ "epoch": 3.83,
1551
+ "learning_rate": 4.200787401574803e-06,
1552
+ "loss": 0.2918,
1553
+ "step": 253
1554
+ },
1555
+ {
1556
+ "epoch": 3.85,
1557
+ "learning_rate": 4.196850393700788e-06,
1558
+ "loss": 0.5486,
1559
+ "step": 254
1560
+ },
1561
+ {
1562
+ "epoch": 3.86,
1563
+ "learning_rate": 4.192913385826772e-06,
1564
+ "loss": 0.6028,
1565
+ "step": 255
1566
+ },
1567
+ {
1568
+ "epoch": 3.88,
1569
+ "learning_rate": 4.1889763779527564e-06,
1570
+ "loss": 0.5627,
1571
+ "step": 256
1572
+ },
1573
+ {
1574
+ "epoch": 3.89,
1575
+ "learning_rate": 4.18503937007874e-06,
1576
+ "loss": 0.6596,
1577
+ "step": 257
1578
+ },
1579
+ {
1580
+ "epoch": 3.91,
1581
+ "learning_rate": 4.181102362204725e-06,
1582
+ "loss": 0.4707,
1583
+ "step": 258
1584
+ },
1585
+ {
1586
+ "epoch": 3.92,
1587
+ "learning_rate": 4.177165354330709e-06,
1588
+ "loss": 0.3549,
1589
+ "step": 259
1590
+ },
1591
+ {
1592
+ "epoch": 3.94,
1593
+ "learning_rate": 4.173228346456693e-06,
1594
+ "loss": 0.5753,
1595
+ "step": 260
1596
+ },
1597
+ {
1598
+ "epoch": 3.95,
1599
+ "learning_rate": 4.169291338582678e-06,
1600
+ "loss": 0.5335,
1601
+ "step": 261
1602
+ },
1603
+ {
1604
+ "epoch": 3.97,
1605
+ "learning_rate": 4.165354330708662e-06,
1606
+ "loss": 0.3238,
1607
+ "step": 262
1608
+ },
1609
+ {
1610
+ "epoch": 3.98,
1611
+ "learning_rate": 4.161417322834646e-06,
1612
+ "loss": 0.4037,
1613
+ "step": 263
1614
+ },
1615
+ {
1616
+ "epoch": 4.0,
1617
+ "learning_rate": 4.15748031496063e-06,
1618
+ "loss": 0.4637,
1619
+ "step": 264
1620
+ },
1621
+ {
1622
+ "epoch": 4.0,
1623
+ "eval_accuracy": 0.8181818181818182,
1624
+ "eval_loss": 0.4488632380962372,
1625
+ "eval_runtime": 6.8798,
1626
+ "eval_samples_per_second": 9.593,
1627
+ "eval_steps_per_second": 2.471,
1628
+ "step": 264
1629
+ },
1630
+ {
1631
+ "epoch": 4.02,
1632
+ "learning_rate": 4.153543307086614e-06,
1633
+ "loss": 0.3581,
1634
+ "step": 265
1635
+ },
1636
+ {
1637
+ "epoch": 4.03,
1638
+ "learning_rate": 4.149606299212599e-06,
1639
+ "loss": 0.3822,
1640
+ "step": 266
1641
+ },
1642
+ {
1643
+ "epoch": 4.05,
1644
+ "learning_rate": 4.145669291338583e-06,
1645
+ "loss": 0.5748,
1646
+ "step": 267
1647
+ },
1648
+ {
1649
+ "epoch": 4.06,
1650
+ "learning_rate": 4.141732283464567e-06,
1651
+ "loss": 0.2967,
1652
+ "step": 268
1653
+ },
1654
+ {
1655
+ "epoch": 4.08,
1656
+ "learning_rate": 4.137795275590552e-06,
1657
+ "loss": 0.588,
1658
+ "step": 269
1659
+ },
1660
+ {
1661
+ "epoch": 4.09,
1662
+ "learning_rate": 4.1338582677165355e-06,
1663
+ "loss": 0.5945,
1664
+ "step": 270
1665
+ },
1666
+ {
1667
+ "epoch": 4.11,
1668
+ "learning_rate": 4.12992125984252e-06,
1669
+ "loss": 0.4901,
1670
+ "step": 271
1671
+ },
1672
+ {
1673
+ "epoch": 4.12,
1674
+ "learning_rate": 4.125984251968505e-06,
1675
+ "loss": 0.4632,
1676
+ "step": 272
1677
+ },
1678
+ {
1679
+ "epoch": 4.14,
1680
+ "learning_rate": 4.122047244094489e-06,
1681
+ "loss": 0.3848,
1682
+ "step": 273
1683
+ },
1684
+ {
1685
+ "epoch": 4.15,
1686
+ "learning_rate": 4.118110236220472e-06,
1687
+ "loss": 0.425,
1688
+ "step": 274
1689
+ },
1690
+ {
1691
+ "epoch": 4.17,
1692
+ "learning_rate": 4.114173228346457e-06,
1693
+ "loss": 0.5269,
1694
+ "step": 275
1695
+ },
1696
+ {
1697
+ "epoch": 4.18,
1698
+ "learning_rate": 4.110236220472441e-06,
1699
+ "loss": 0.2838,
1700
+ "step": 276
1701
+ },
1702
+ {
1703
+ "epoch": 4.2,
1704
+ "learning_rate": 4.1062992125984255e-06,
1705
+ "loss": 0.2754,
1706
+ "step": 277
1707
+ },
1708
+ {
1709
+ "epoch": 4.21,
1710
+ "learning_rate": 4.10236220472441e-06,
1711
+ "loss": 0.4213,
1712
+ "step": 278
1713
+ },
1714
+ {
1715
+ "epoch": 4.23,
1716
+ "learning_rate": 4.098425196850394e-06,
1717
+ "loss": 0.286,
1718
+ "step": 279
1719
+ },
1720
+ {
1721
+ "epoch": 4.24,
1722
+ "learning_rate": 4.0944881889763785e-06,
1723
+ "loss": 0.5367,
1724
+ "step": 280
1725
+ },
1726
+ {
1727
+ "epoch": 4.26,
1728
+ "learning_rate": 4.090551181102362e-06,
1729
+ "loss": 0.5445,
1730
+ "step": 281
1731
+ },
1732
+ {
1733
+ "epoch": 4.27,
1734
+ "learning_rate": 4.086614173228346e-06,
1735
+ "loss": 0.4772,
1736
+ "step": 282
1737
+ },
1738
+ {
1739
+ "epoch": 4.29,
1740
+ "learning_rate": 4.082677165354332e-06,
1741
+ "loss": 0.2597,
1742
+ "step": 283
1743
+ },
1744
+ {
1745
+ "epoch": 4.3,
1746
+ "learning_rate": 4.0787401574803154e-06,
1747
+ "loss": 0.378,
1748
+ "step": 284
1749
+ },
1750
+ {
1751
+ "epoch": 4.32,
1752
+ "learning_rate": 4.074803149606299e-06,
1753
+ "loss": 0.4049,
1754
+ "step": 285
1755
+ },
1756
+ {
1757
+ "epoch": 4.33,
1758
+ "learning_rate": 4.070866141732284e-06,
1759
+ "loss": 0.408,
1760
+ "step": 286
1761
+ },
1762
+ {
1763
+ "epoch": 4.35,
1764
+ "learning_rate": 4.066929133858268e-06,
1765
+ "loss": 0.5702,
1766
+ "step": 287
1767
+ },
1768
+ {
1769
+ "epoch": 4.36,
1770
+ "learning_rate": 4.062992125984252e-06,
1771
+ "loss": 0.2844,
1772
+ "step": 288
1773
+ },
1774
+ {
1775
+ "epoch": 4.38,
1776
+ "learning_rate": 4.059055118110237e-06,
1777
+ "loss": 0.2546,
1778
+ "step": 289
1779
+ },
1780
+ {
1781
+ "epoch": 4.39,
1782
+ "learning_rate": 4.055118110236221e-06,
1783
+ "loss": 0.26,
1784
+ "step": 290
1785
+ },
1786
+ {
1787
+ "epoch": 4.41,
1788
+ "learning_rate": 4.051181102362205e-06,
1789
+ "loss": 0.548,
1790
+ "step": 291
1791
+ },
1792
+ {
1793
+ "epoch": 4.42,
1794
+ "learning_rate": 4.047244094488189e-06,
1795
+ "loss": 0.5079,
1796
+ "step": 292
1797
+ },
1798
+ {
1799
+ "epoch": 4.44,
1800
+ "learning_rate": 4.043307086614174e-06,
1801
+ "loss": 0.3426,
1802
+ "step": 293
1803
+ },
1804
+ {
1805
+ "epoch": 4.45,
1806
+ "learning_rate": 4.039370078740158e-06,
1807
+ "loss": 0.2459,
1808
+ "step": 294
1809
+ },
1810
+ {
1811
+ "epoch": 4.47,
1812
+ "learning_rate": 4.035433070866142e-06,
1813
+ "loss": 0.6087,
1814
+ "step": 295
1815
+ },
1816
+ {
1817
+ "epoch": 4.48,
1818
+ "learning_rate": 4.031496062992126e-06,
1819
+ "loss": 0.303,
1820
+ "step": 296
1821
+ },
1822
+ {
1823
+ "epoch": 4.5,
1824
+ "learning_rate": 4.027559055118111e-06,
1825
+ "loss": 0.2649,
1826
+ "step": 297
1827
+ },
1828
+ {
1829
+ "epoch": 4.52,
1830
+ "learning_rate": 4.0236220472440945e-06,
1831
+ "loss": 0.4792,
1832
+ "step": 298
1833
+ },
1834
+ {
1835
+ "epoch": 4.53,
1836
+ "learning_rate": 4.019685039370079e-06,
1837
+ "loss": 0.353,
1838
+ "step": 299
1839
+ },
1840
+ {
1841
+ "epoch": 4.55,
1842
+ "learning_rate": 4.015748031496064e-06,
1843
+ "loss": 0.2387,
1844
+ "step": 300
1845
+ },
1846
+ {
1847
+ "epoch": 4.56,
1848
+ "learning_rate": 4.011811023622048e-06,
1849
+ "loss": 0.5596,
1850
+ "step": 301
1851
+ },
1852
+ {
1853
+ "epoch": 4.58,
1854
+ "learning_rate": 4.007874015748031e-06,
1855
+ "loss": 0.2684,
1856
+ "step": 302
1857
+ },
1858
+ {
1859
+ "epoch": 4.59,
1860
+ "learning_rate": 4.003937007874016e-06,
1861
+ "loss": 0.3403,
1862
+ "step": 303
1863
+ },
1864
+ {
1865
+ "epoch": 4.61,
1866
+ "learning_rate": 4.000000000000001e-06,
1867
+ "loss": 0.2609,
1868
+ "step": 304
1869
+ },
1870
+ {
1871
+ "epoch": 4.62,
1872
+ "learning_rate": 3.9960629921259845e-06,
1873
+ "loss": 0.2897,
1874
+ "step": 305
1875
+ },
1876
+ {
1877
+ "epoch": 4.64,
1878
+ "learning_rate": 3.992125984251969e-06,
1879
+ "loss": 0.4744,
1880
+ "step": 306
1881
+ },
1882
+ {
1883
+ "epoch": 4.65,
1884
+ "learning_rate": 3.988188976377953e-06,
1885
+ "loss": 0.2779,
1886
+ "step": 307
1887
+ },
1888
+ {
1889
+ "epoch": 4.67,
1890
+ "learning_rate": 3.9842519685039375e-06,
1891
+ "loss": 0.2217,
1892
+ "step": 308
1893
+ },
1894
+ {
1895
+ "epoch": 4.68,
1896
+ "learning_rate": 3.980314960629922e-06,
1897
+ "loss": 0.4549,
1898
+ "step": 309
1899
+ },
1900
+ {
1901
+ "epoch": 4.7,
1902
+ "learning_rate": 3.976377952755906e-06,
1903
+ "loss": 0.5696,
1904
+ "step": 310
1905
+ },
1906
+ {
1907
+ "epoch": 4.71,
1908
+ "learning_rate": 3.97244094488189e-06,
1909
+ "loss": 0.2175,
1910
+ "step": 311
1911
+ },
1912
+ {
1913
+ "epoch": 4.73,
1914
+ "learning_rate": 3.968503937007874e-06,
1915
+ "loss": 0.2406,
1916
+ "step": 312
1917
+ },
1918
+ {
1919
+ "epoch": 4.74,
1920
+ "learning_rate": 3.964566929133858e-06,
1921
+ "loss": 0.5512,
1922
+ "step": 313
1923
+ },
1924
+ {
1925
+ "epoch": 4.76,
1926
+ "learning_rate": 3.960629921259843e-06,
1927
+ "loss": 0.2105,
1928
+ "step": 314
1929
+ },
1930
+ {
1931
+ "epoch": 4.77,
1932
+ "learning_rate": 3.9566929133858275e-06,
1933
+ "loss": 0.8069,
1934
+ "step": 315
1935
+ },
1936
+ {
1937
+ "epoch": 4.79,
1938
+ "learning_rate": 3.952755905511811e-06,
1939
+ "loss": 0.4629,
1940
+ "step": 316
1941
+ },
1942
+ {
1943
+ "epoch": 4.8,
1944
+ "learning_rate": 3.948818897637796e-06,
1945
+ "loss": 0.2115,
1946
+ "step": 317
1947
+ },
1948
+ {
1949
+ "epoch": 4.82,
1950
+ "learning_rate": 3.94488188976378e-06,
1951
+ "loss": 0.2883,
1952
+ "step": 318
1953
+ },
1954
+ {
1955
+ "epoch": 4.83,
1956
+ "learning_rate": 3.9409448818897635e-06,
1957
+ "loss": 0.5092,
1958
+ "step": 319
1959
+ },
1960
+ {
1961
+ "epoch": 4.85,
1962
+ "learning_rate": 3.937007874015748e-06,
1963
+ "loss": 0.3486,
1964
+ "step": 320
1965
+ },
1966
+ {
1967
+ "epoch": 4.86,
1968
+ "learning_rate": 3.933070866141733e-06,
1969
+ "loss": 0.5374,
1970
+ "step": 321
1971
+ },
1972
+ {
1973
+ "epoch": 4.88,
1974
+ "learning_rate": 3.929133858267717e-06,
1975
+ "loss": 0.3302,
1976
+ "step": 322
1977
+ },
1978
+ {
1979
+ "epoch": 4.89,
1980
+ "learning_rate": 3.925196850393701e-06,
1981
+ "loss": 0.5962,
1982
+ "step": 323
1983
+ },
1984
+ {
1985
+ "epoch": 4.91,
1986
+ "learning_rate": 3.921259842519685e-06,
1987
+ "loss": 0.2028,
1988
+ "step": 324
1989
+ },
1990
+ {
1991
+ "epoch": 4.92,
1992
+ "learning_rate": 3.91732283464567e-06,
1993
+ "loss": 0.4314,
1994
+ "step": 325
1995
+ },
1996
+ {
1997
+ "epoch": 4.94,
1998
+ "learning_rate": 3.913385826771654e-06,
1999
+ "loss": 0.2254,
2000
+ "step": 326
2001
+ },
2002
+ {
2003
+ "epoch": 4.95,
2004
+ "learning_rate": 3.909448818897638e-06,
2005
+ "loss": 0.5416,
2006
+ "step": 327
2007
+ },
2008
+ {
2009
+ "epoch": 4.97,
2010
+ "learning_rate": 3.905511811023622e-06,
2011
+ "loss": 0.1982,
2012
+ "step": 328
2013
+ },
2014
+ {
2015
+ "epoch": 4.98,
2016
+ "learning_rate": 3.901574803149607e-06,
2017
+ "loss": 0.2117,
2018
+ "step": 329
2019
+ },
2020
+ {
2021
+ "epoch": 5.0,
2022
+ "learning_rate": 3.89763779527559e-06,
2023
+ "loss": 0.2166,
2024
+ "step": 330
2025
+ },
2026
+ {
2027
+ "epoch": 5.0,
2028
+ "eval_accuracy": 0.8939393939393939,
2029
+ "eval_loss": 0.3404465913772583,
2030
+ "eval_runtime": 6.3639,
2031
+ "eval_samples_per_second": 10.371,
2032
+ "eval_steps_per_second": 2.671,
2033
+ "step": 330
2034
+ },
2035
+ {
2036
+ "epoch": 5.02,
2037
+ "learning_rate": 3.893700787401575e-06,
2038
+ "loss": 0.3983,
2039
+ "step": 331
2040
+ },
2041
+ {
2042
+ "epoch": 5.03,
2043
+ "learning_rate": 3.88976377952756e-06,
2044
+ "loss": 0.566,
2045
+ "step": 332
2046
+ },
2047
+ {
2048
+ "epoch": 5.05,
2049
+ "learning_rate": 3.8858267716535435e-06,
2050
+ "loss": 0.2756,
2051
+ "step": 333
2052
+ },
2053
+ {
2054
+ "epoch": 5.06,
2055
+ "learning_rate": 3.881889763779528e-06,
2056
+ "loss": 0.2214,
2057
+ "step": 334
2058
+ },
2059
+ {
2060
+ "epoch": 5.08,
2061
+ "learning_rate": 3.877952755905512e-06,
2062
+ "loss": 0.21,
2063
+ "step": 335
2064
+ },
2065
+ {
2066
+ "epoch": 5.09,
2067
+ "learning_rate": 3.8740157480314965e-06,
2068
+ "loss": 0.2232,
2069
+ "step": 336
2070
+ },
2071
+ {
2072
+ "epoch": 5.11,
2073
+ "learning_rate": 3.87007874015748e-06,
2074
+ "loss": 0.2061,
2075
+ "step": 337
2076
+ },
2077
+ {
2078
+ "epoch": 5.12,
2079
+ "learning_rate": 3.866141732283465e-06,
2080
+ "loss": 0.311,
2081
+ "step": 338
2082
+ },
2083
+ {
2084
+ "epoch": 5.14,
2085
+ "learning_rate": 3.862204724409449e-06,
2086
+ "loss": 0.1845,
2087
+ "step": 339
2088
+ },
2089
+ {
2090
+ "epoch": 5.15,
2091
+ "learning_rate": 3.858267716535433e-06,
2092
+ "loss": 0.2081,
2093
+ "step": 340
2094
+ },
2095
+ {
2096
+ "epoch": 5.17,
2097
+ "learning_rate": 3.854330708661418e-06,
2098
+ "loss": 0.4295,
2099
+ "step": 341
2100
+ },
2101
+ {
2102
+ "epoch": 5.18,
2103
+ "learning_rate": 3.850393700787402e-06,
2104
+ "loss": 0.1863,
2105
+ "step": 342
2106
+ },
2107
+ {
2108
+ "epoch": 5.2,
2109
+ "learning_rate": 3.8464566929133865e-06,
2110
+ "loss": 0.2167,
2111
+ "step": 343
2112
+ },
2113
+ {
2114
+ "epoch": 5.21,
2115
+ "learning_rate": 3.84251968503937e-06,
2116
+ "loss": 0.5119,
2117
+ "step": 344
2118
+ },
2119
+ {
2120
+ "epoch": 5.23,
2121
+ "learning_rate": 3.838582677165354e-06,
2122
+ "loss": 0.4946,
2123
+ "step": 345
2124
+ },
2125
+ {
2126
+ "epoch": 5.24,
2127
+ "learning_rate": 3.834645669291339e-06,
2128
+ "loss": 0.2194,
2129
+ "step": 346
2130
+ },
2131
+ {
2132
+ "epoch": 5.26,
2133
+ "learning_rate": 3.830708661417323e-06,
2134
+ "loss": 0.1861,
2135
+ "step": 347
2136
+ },
2137
+ {
2138
+ "epoch": 5.27,
2139
+ "learning_rate": 3.826771653543307e-06,
2140
+ "loss": 0.1871,
2141
+ "step": 348
2142
+ },
2143
+ {
2144
+ "epoch": 5.29,
2145
+ "learning_rate": 3.822834645669292e-06,
2146
+ "loss": 0.293,
2147
+ "step": 349
2148
+ },
2149
+ {
2150
+ "epoch": 5.3,
2151
+ "learning_rate": 3.818897637795276e-06,
2152
+ "loss": 0.183,
2153
+ "step": 350
2154
+ },
2155
+ {
2156
+ "epoch": 5.32,
2157
+ "learning_rate": 3.81496062992126e-06,
2158
+ "loss": 0.4737,
2159
+ "step": 351
2160
+ },
2161
+ {
2162
+ "epoch": 5.33,
2163
+ "learning_rate": 3.8110236220472445e-06,
2164
+ "loss": 0.1968,
2165
+ "step": 352
2166
+ },
2167
+ {
2168
+ "epoch": 5.35,
2169
+ "learning_rate": 3.8070866141732287e-06,
2170
+ "loss": 0.5645,
2171
+ "step": 353
2172
+ },
2173
+ {
2174
+ "epoch": 5.36,
2175
+ "learning_rate": 3.803149606299213e-06,
2176
+ "loss": 0.2107,
2177
+ "step": 354
2178
+ },
2179
+ {
2180
+ "epoch": 5.38,
2181
+ "learning_rate": 3.799212598425197e-06,
2182
+ "loss": 0.6736,
2183
+ "step": 355
2184
+ },
2185
+ {
2186
+ "epoch": 5.39,
2187
+ "learning_rate": 3.7952755905511814e-06,
2188
+ "loss": 0.1696,
2189
+ "step": 356
2190
+ },
2191
+ {
2192
+ "epoch": 5.41,
2193
+ "learning_rate": 3.791338582677166e-06,
2194
+ "loss": 0.204,
2195
+ "step": 357
2196
+ },
2197
+ {
2198
+ "epoch": 5.42,
2199
+ "learning_rate": 3.7874015748031502e-06,
2200
+ "loss": 0.1744,
2201
+ "step": 358
2202
+ },
2203
+ {
2204
+ "epoch": 5.44,
2205
+ "learning_rate": 3.783464566929134e-06,
2206
+ "loss": 0.1769,
2207
+ "step": 359
2208
+ },
2209
+ {
2210
+ "epoch": 5.45,
2211
+ "learning_rate": 3.7795275590551182e-06,
2212
+ "loss": 0.164,
2213
+ "step": 360
2214
+ },
2215
+ {
2216
+ "epoch": 5.47,
2217
+ "learning_rate": 3.7755905511811025e-06,
2218
+ "loss": 0.7071,
2219
+ "step": 361
2220
+ },
2221
+ {
2222
+ "epoch": 5.48,
2223
+ "learning_rate": 3.7716535433070867e-06,
2224
+ "loss": 0.1572,
2225
+ "step": 362
2226
+ },
2227
+ {
2228
+ "epoch": 5.5,
2229
+ "learning_rate": 3.7677165354330713e-06,
2230
+ "loss": 0.3369,
2231
+ "step": 363
2232
+ },
2233
+ {
2234
+ "epoch": 5.52,
2235
+ "learning_rate": 3.7637795275590555e-06,
2236
+ "loss": 0.1589,
2237
+ "step": 364
2238
+ },
2239
+ {
2240
+ "epoch": 5.53,
2241
+ "learning_rate": 3.7598425196850398e-06,
2242
+ "loss": 0.1886,
2243
+ "step": 365
2244
+ },
2245
+ {
2246
+ "epoch": 5.55,
2247
+ "learning_rate": 3.755905511811024e-06,
2248
+ "loss": 0.2163,
2249
+ "step": 366
2250
+ },
2251
+ {
2252
+ "epoch": 5.56,
2253
+ "learning_rate": 3.7519685039370078e-06,
2254
+ "loss": 0.1526,
2255
+ "step": 367
2256
+ },
2257
+ {
2258
+ "epoch": 5.58,
2259
+ "learning_rate": 3.748031496062993e-06,
2260
+ "loss": 0.5631,
2261
+ "step": 368
2262
+ },
2263
+ {
2264
+ "epoch": 5.59,
2265
+ "learning_rate": 3.7440944881889766e-06,
2266
+ "loss": 0.1584,
2267
+ "step": 369
2268
+ },
2269
+ {
2270
+ "epoch": 5.61,
2271
+ "learning_rate": 3.740157480314961e-06,
2272
+ "loss": 0.5094,
2273
+ "step": 370
2274
+ },
2275
+ {
2276
+ "epoch": 5.62,
2277
+ "learning_rate": 3.736220472440945e-06,
2278
+ "loss": 0.4171,
2279
+ "step": 371
2280
+ },
2281
+ {
2282
+ "epoch": 5.64,
2283
+ "learning_rate": 3.7322834645669293e-06,
2284
+ "loss": 0.5874,
2285
+ "step": 372
2286
+ },
2287
+ {
2288
+ "epoch": 5.65,
2289
+ "learning_rate": 3.728346456692914e-06,
2290
+ "loss": 0.177,
2291
+ "step": 373
2292
+ },
2293
+ {
2294
+ "epoch": 5.67,
2295
+ "learning_rate": 3.724409448818898e-06,
2296
+ "loss": 0.1753,
2297
+ "step": 374
2298
+ },
2299
+ {
2300
+ "epoch": 5.68,
2301
+ "learning_rate": 3.7204724409448824e-06,
2302
+ "loss": 0.158,
2303
+ "step": 375
2304
+ },
2305
+ {
2306
+ "epoch": 5.7,
2307
+ "learning_rate": 3.7165354330708666e-06,
2308
+ "loss": 0.1736,
2309
+ "step": 376
2310
+ },
2311
+ {
2312
+ "epoch": 5.71,
2313
+ "learning_rate": 3.7125984251968504e-06,
2314
+ "loss": 0.2736,
2315
+ "step": 377
2316
+ },
2317
+ {
2318
+ "epoch": 5.73,
2319
+ "learning_rate": 3.7086614173228346e-06,
2320
+ "loss": 0.2054,
2321
+ "step": 378
2322
+ },
2323
+ {
2324
+ "epoch": 5.74,
2325
+ "learning_rate": 3.7047244094488193e-06,
2326
+ "loss": 0.383,
2327
+ "step": 379
2328
+ },
2329
+ {
2330
+ "epoch": 5.76,
2331
+ "learning_rate": 3.7007874015748035e-06,
2332
+ "loss": 0.146,
2333
+ "step": 380
2334
+ },
2335
+ {
2336
+ "epoch": 5.77,
2337
+ "learning_rate": 3.6968503937007877e-06,
2338
+ "loss": 0.1785,
2339
+ "step": 381
2340
+ },
2341
+ {
2342
+ "epoch": 5.79,
2343
+ "learning_rate": 3.692913385826772e-06,
2344
+ "loss": 0.599,
2345
+ "step": 382
2346
+ },
2347
+ {
2348
+ "epoch": 5.8,
2349
+ "learning_rate": 3.688976377952756e-06,
2350
+ "loss": 0.5044,
2351
+ "step": 383
2352
+ },
2353
+ {
2354
+ "epoch": 5.82,
2355
+ "learning_rate": 3.6850393700787408e-06,
2356
+ "loss": 0.1508,
2357
+ "step": 384
2358
+ },
2359
+ {
2360
+ "epoch": 5.83,
2361
+ "learning_rate": 3.681102362204725e-06,
2362
+ "loss": 0.1437,
2363
+ "step": 385
2364
+ },
2365
+ {
2366
+ "epoch": 5.85,
2367
+ "learning_rate": 3.677165354330709e-06,
2368
+ "loss": 0.2467,
2369
+ "step": 386
2370
+ },
2371
+ {
2372
+ "epoch": 5.86,
2373
+ "learning_rate": 3.673228346456693e-06,
2374
+ "loss": 0.1497,
2375
+ "step": 387
2376
+ },
2377
+ {
2378
+ "epoch": 5.88,
2379
+ "learning_rate": 3.6692913385826772e-06,
2380
+ "loss": 0.3545,
2381
+ "step": 388
2382
+ },
2383
+ {
2384
+ "epoch": 5.89,
2385
+ "learning_rate": 3.665354330708662e-06,
2386
+ "loss": 0.1441,
2387
+ "step": 389
2388
+ },
2389
+ {
2390
+ "epoch": 5.91,
2391
+ "learning_rate": 3.661417322834646e-06,
2392
+ "loss": 0.1408,
2393
+ "step": 390
2394
+ },
2395
+ {
2396
+ "epoch": 5.92,
2397
+ "learning_rate": 3.6574803149606303e-06,
2398
+ "loss": 0.156,
2399
+ "step": 391
2400
+ },
2401
+ {
2402
+ "epoch": 5.94,
2403
+ "learning_rate": 3.6535433070866145e-06,
2404
+ "loss": 0.1311,
2405
+ "step": 392
2406
+ },
2407
+ {
2408
+ "epoch": 5.95,
2409
+ "learning_rate": 3.6496062992125988e-06,
2410
+ "loss": 0.6291,
2411
+ "step": 393
2412
+ },
2413
+ {
2414
+ "epoch": 5.97,
2415
+ "learning_rate": 3.6456692913385826e-06,
2416
+ "loss": 0.408,
2417
+ "step": 394
2418
+ },
2419
+ {
2420
+ "epoch": 5.98,
2421
+ "learning_rate": 3.6417322834645676e-06,
2422
+ "loss": 0.1383,
2423
+ "step": 395
2424
+ },
2425
+ {
2426
+ "epoch": 6.0,
2427
+ "learning_rate": 3.6377952755905514e-06,
2428
+ "loss": 0.2411,
2429
+ "step": 396
2430
+ },
2431
+ {
2432
+ "epoch": 6.0,
2433
+ "eval_accuracy": 0.9393939393939394,
2434
+ "eval_loss": 0.2369035929441452,
2435
+ "eval_runtime": 6.2358,
2436
+ "eval_samples_per_second": 10.584,
2437
+ "eval_steps_per_second": 2.726,
2438
+ "step": 396
2439
+ },
2440
+ {
2441
+ "epoch": 6.02,
2442
+ "learning_rate": 3.6338582677165356e-06,
2443
+ "loss": 0.5985,
2444
+ "step": 397
2445
+ },
2446
+ {
2447
+ "epoch": 6.03,
2448
+ "learning_rate": 3.62992125984252e-06,
2449
+ "loss": 0.1448,
2450
+ "step": 398
2451
+ },
2452
+ {
2453
+ "epoch": 6.05,
2454
+ "learning_rate": 3.625984251968504e-06,
2455
+ "loss": 0.5026,
2456
+ "step": 399
2457
+ },
2458
+ {
2459
+ "epoch": 6.06,
2460
+ "learning_rate": 3.6220472440944887e-06,
2461
+ "loss": 0.1389,
2462
+ "step": 400
2463
+ },
2464
+ {
2465
+ "epoch": 6.08,
2466
+ "learning_rate": 3.618110236220473e-06,
2467
+ "loss": 0.5432,
2468
+ "step": 401
2469
+ },
2470
+ {
2471
+ "epoch": 6.09,
2472
+ "learning_rate": 3.614173228346457e-06,
2473
+ "loss": 0.5761,
2474
+ "step": 402
2475
+ },
2476
+ {
2477
+ "epoch": 6.11,
2478
+ "learning_rate": 3.610236220472441e-06,
2479
+ "loss": 0.2165,
2480
+ "step": 403
2481
+ },
2482
+ {
2483
+ "epoch": 6.12,
2484
+ "learning_rate": 3.606299212598425e-06,
2485
+ "loss": 0.1467,
2486
+ "step": 404
2487
+ },
2488
+ {
2489
+ "epoch": 6.14,
2490
+ "learning_rate": 3.60236220472441e-06,
2491
+ "loss": 0.1382,
2492
+ "step": 405
2493
+ },
2494
+ {
2495
+ "epoch": 6.15,
2496
+ "learning_rate": 3.598425196850394e-06,
2497
+ "loss": 0.3128,
2498
+ "step": 406
2499
+ },
2500
+ {
2501
+ "epoch": 6.17,
2502
+ "learning_rate": 3.5944881889763783e-06,
2503
+ "loss": 0.1911,
2504
+ "step": 407
2505
+ },
2506
+ {
2507
+ "epoch": 6.18,
2508
+ "learning_rate": 3.5905511811023625e-06,
2509
+ "loss": 0.1306,
2510
+ "step": 408
2511
+ },
2512
+ {
2513
+ "epoch": 6.2,
2514
+ "learning_rate": 3.5866141732283467e-06,
2515
+ "loss": 0.1925,
2516
+ "step": 409
2517
+ },
2518
+ {
2519
+ "epoch": 6.21,
2520
+ "learning_rate": 3.582677165354331e-06,
2521
+ "loss": 0.1275,
2522
+ "step": 410
2523
+ },
2524
+ {
2525
+ "epoch": 6.23,
2526
+ "learning_rate": 3.5787401574803156e-06,
2527
+ "loss": 0.1296,
2528
+ "step": 411
2529
+ },
2530
+ {
2531
+ "epoch": 6.24,
2532
+ "learning_rate": 3.5748031496062998e-06,
2533
+ "loss": 0.1237,
2534
+ "step": 412
2535
+ },
2536
+ {
2537
+ "epoch": 6.26,
2538
+ "learning_rate": 3.5708661417322836e-06,
2539
+ "loss": 1.1349,
2540
+ "step": 413
2541
+ },
2542
+ {
2543
+ "epoch": 6.27,
2544
+ "learning_rate": 3.566929133858268e-06,
2545
+ "loss": 0.1208,
2546
+ "step": 414
2547
+ },
2548
+ {
2549
+ "epoch": 6.29,
2550
+ "learning_rate": 3.562992125984252e-06,
2551
+ "loss": 0.1221,
2552
+ "step": 415
2553
+ },
2554
+ {
2555
+ "epoch": 6.3,
2556
+ "learning_rate": 3.5590551181102367e-06,
2557
+ "loss": 0.6214,
2558
+ "step": 416
2559
+ },
2560
+ {
2561
+ "epoch": 6.32,
2562
+ "learning_rate": 3.555118110236221e-06,
2563
+ "loss": 0.1193,
2564
+ "step": 417
2565
+ },
2566
+ {
2567
+ "epoch": 6.33,
2568
+ "learning_rate": 3.551181102362205e-06,
2569
+ "loss": 0.1218,
2570
+ "step": 418
2571
+ },
2572
+ {
2573
+ "epoch": 6.35,
2574
+ "learning_rate": 3.5472440944881893e-06,
2575
+ "loss": 0.1493,
2576
+ "step": 419
2577
+ },
2578
+ {
2579
+ "epoch": 6.36,
2580
+ "learning_rate": 3.5433070866141735e-06,
2581
+ "loss": 0.1247,
2582
+ "step": 420
2583
+ },
2584
+ {
2585
+ "epoch": 6.38,
2586
+ "learning_rate": 3.539370078740158e-06,
2587
+ "loss": 0.1158,
2588
+ "step": 421
2589
+ },
2590
+ {
2591
+ "epoch": 6.39,
2592
+ "learning_rate": 3.535433070866142e-06,
2593
+ "loss": 0.1201,
2594
+ "step": 422
2595
+ },
2596
+ {
2597
+ "epoch": 6.41,
2598
+ "learning_rate": 3.531496062992126e-06,
2599
+ "loss": 0.6259,
2600
+ "step": 423
2601
+ },
2602
+ {
2603
+ "epoch": 6.42,
2604
+ "learning_rate": 3.5275590551181104e-06,
2605
+ "loss": 0.1146,
2606
+ "step": 424
2607
+ },
2608
+ {
2609
+ "epoch": 6.44,
2610
+ "learning_rate": 3.5236220472440946e-06,
2611
+ "loss": 0.1311,
2612
+ "step": 425
2613
+ },
2614
+ {
2615
+ "epoch": 6.45,
2616
+ "learning_rate": 3.519685039370079e-06,
2617
+ "loss": 0.1097,
2618
+ "step": 426
2619
+ },
2620
+ {
2621
+ "epoch": 6.47,
2622
+ "learning_rate": 3.5157480314960635e-06,
2623
+ "loss": 0.4229,
2624
+ "step": 427
2625
+ },
2626
+ {
2627
+ "epoch": 6.48,
2628
+ "learning_rate": 3.5118110236220477e-06,
2629
+ "loss": 0.1245,
2630
+ "step": 428
2631
+ },
2632
+ {
2633
+ "epoch": 6.5,
2634
+ "learning_rate": 3.507874015748032e-06,
2635
+ "loss": 0.1066,
2636
+ "step": 429
2637
+ },
2638
+ {
2639
+ "epoch": 6.52,
2640
+ "learning_rate": 3.5039370078740157e-06,
2641
+ "loss": 0.1215,
2642
+ "step": 430
2643
+ },
2644
+ {
2645
+ "epoch": 6.53,
2646
+ "learning_rate": 3.5e-06,
2647
+ "loss": 0.1178,
2648
+ "step": 431
2649
+ },
2650
+ {
2651
+ "epoch": 6.55,
2652
+ "learning_rate": 3.4960629921259846e-06,
2653
+ "loss": 0.5898,
2654
+ "step": 432
2655
+ },
2656
+ {
2657
+ "epoch": 6.56,
2658
+ "learning_rate": 3.492125984251969e-06,
2659
+ "loss": 0.1037,
2660
+ "step": 433
2661
+ },
2662
+ {
2663
+ "epoch": 6.58,
2664
+ "learning_rate": 3.488188976377953e-06,
2665
+ "loss": 0.1185,
2666
+ "step": 434
2667
+ },
2668
+ {
2669
+ "epoch": 6.59,
2670
+ "learning_rate": 3.4842519685039372e-06,
2671
+ "loss": 0.4492,
2672
+ "step": 435
2673
+ },
2674
+ {
2675
+ "epoch": 6.61,
2676
+ "learning_rate": 3.4803149606299215e-06,
2677
+ "loss": 0.4031,
2678
+ "step": 436
2679
+ },
2680
+ {
2681
+ "epoch": 6.62,
2682
+ "learning_rate": 3.476377952755906e-06,
2683
+ "loss": 0.2397,
2684
+ "step": 437
2685
+ },
2686
+ {
2687
+ "epoch": 6.64,
2688
+ "learning_rate": 3.4724409448818903e-06,
2689
+ "loss": 0.1238,
2690
+ "step": 438
2691
+ },
2692
+ {
2693
+ "epoch": 6.65,
2694
+ "learning_rate": 3.4685039370078746e-06,
2695
+ "loss": 0.6626,
2696
+ "step": 439
2697
+ },
2698
+ {
2699
+ "epoch": 6.67,
2700
+ "learning_rate": 3.4645669291338583e-06,
2701
+ "loss": 0.1303,
2702
+ "step": 440
2703
+ },
2704
+ {
2705
+ "epoch": 6.68,
2706
+ "learning_rate": 3.4606299212598426e-06,
2707
+ "loss": 0.1235,
2708
+ "step": 441
2709
+ },
2710
+ {
2711
+ "epoch": 6.7,
2712
+ "learning_rate": 3.4566929133858268e-06,
2713
+ "loss": 0.1008,
2714
+ "step": 442
2715
+ },
2716
+ {
2717
+ "epoch": 6.71,
2718
+ "learning_rate": 3.4527559055118114e-06,
2719
+ "loss": 0.1055,
2720
+ "step": 443
2721
+ },
2722
+ {
2723
+ "epoch": 6.73,
2724
+ "learning_rate": 3.4488188976377956e-06,
2725
+ "loss": 0.0986,
2726
+ "step": 444
2727
+ },
2728
+ {
2729
+ "epoch": 6.74,
2730
+ "learning_rate": 3.44488188976378e-06,
2731
+ "loss": 0.0998,
2732
+ "step": 445
2733
+ },
2734
+ {
2735
+ "epoch": 6.76,
2736
+ "learning_rate": 3.440944881889764e-06,
2737
+ "loss": 0.1114,
2738
+ "step": 446
2739
+ },
2740
+ {
2741
+ "epoch": 6.77,
2742
+ "learning_rate": 3.437007874015748e-06,
2743
+ "loss": 0.1749,
2744
+ "step": 447
2745
+ },
2746
+ {
2747
+ "epoch": 6.79,
2748
+ "learning_rate": 3.433070866141733e-06,
2749
+ "loss": 0.0985,
2750
+ "step": 448
2751
+ },
2752
+ {
2753
+ "epoch": 6.8,
2754
+ "learning_rate": 3.4291338582677167e-06,
2755
+ "loss": 0.0948,
2756
+ "step": 449
2757
+ },
2758
+ {
2759
+ "epoch": 6.82,
2760
+ "learning_rate": 3.425196850393701e-06,
2761
+ "loss": 0.0961,
2762
+ "step": 450
2763
+ },
2764
+ {
2765
+ "epoch": 6.83,
2766
+ "learning_rate": 3.421259842519685e-06,
2767
+ "loss": 0.6144,
2768
+ "step": 451
2769
+ },
2770
+ {
2771
+ "epoch": 6.85,
2772
+ "learning_rate": 3.4173228346456694e-06,
2773
+ "loss": 0.7958,
2774
+ "step": 452
2775
+ },
2776
+ {
2777
+ "epoch": 6.86,
2778
+ "learning_rate": 3.413385826771654e-06,
2779
+ "loss": 0.2617,
2780
+ "step": 453
2781
+ },
2782
+ {
2783
+ "epoch": 6.88,
2784
+ "learning_rate": 3.4094488188976383e-06,
2785
+ "loss": 0.0962,
2786
+ "step": 454
2787
+ },
2788
+ {
2789
+ "epoch": 6.89,
2790
+ "learning_rate": 3.4055118110236225e-06,
2791
+ "loss": 0.0918,
2792
+ "step": 455
2793
+ },
2794
+ {
2795
+ "epoch": 6.91,
2796
+ "learning_rate": 3.4015748031496067e-06,
2797
+ "loss": 0.3138,
2798
+ "step": 456
2799
+ },
2800
+ {
2801
+ "epoch": 6.92,
2802
+ "learning_rate": 3.3976377952755905e-06,
2803
+ "loss": 0.0919,
2804
+ "step": 457
2805
+ },
2806
+ {
2807
+ "epoch": 6.94,
2808
+ "learning_rate": 3.3937007874015747e-06,
2809
+ "loss": 0.0918,
2810
+ "step": 458
2811
+ },
2812
+ {
2813
+ "epoch": 6.95,
2814
+ "learning_rate": 3.3897637795275594e-06,
2815
+ "loss": 0.0895,
2816
+ "step": 459
2817
+ },
2818
+ {
2819
+ "epoch": 6.97,
2820
+ "learning_rate": 3.3858267716535436e-06,
2821
+ "loss": 0.0912,
2822
+ "step": 460
2823
+ },
2824
+ {
2825
+ "epoch": 6.98,
2826
+ "learning_rate": 3.381889763779528e-06,
2827
+ "loss": 0.0922,
2828
+ "step": 461
2829
+ },
2830
+ {
2831
+ "epoch": 7.0,
2832
+ "learning_rate": 3.377952755905512e-06,
2833
+ "loss": 0.1105,
2834
+ "step": 462
2835
+ },
2836
+ {
2837
+ "epoch": 7.0,
2838
+ "eval_accuracy": 0.9393939393939394,
2839
+ "eval_loss": 0.2016882747411728,
2840
+ "eval_runtime": 6.2203,
2841
+ "eval_samples_per_second": 10.61,
2842
+ "eval_steps_per_second": 2.733,
2843
+ "step": 462
2844
+ },
2845
+ {
2846
+ "epoch": 7.02,
2847
+ "learning_rate": 3.3740157480314962e-06,
2848
+ "loss": 0.0905,
2849
+ "step": 463
2850
+ },
2851
+ {
2852
+ "epoch": 7.03,
2853
+ "learning_rate": 3.370078740157481e-06,
2854
+ "loss": 0.2391,
2855
+ "step": 464
2856
+ },
2857
+ {
2858
+ "epoch": 7.05,
2859
+ "learning_rate": 3.366141732283465e-06,
2860
+ "loss": 0.0839,
2861
+ "step": 465
2862
+ },
2863
+ {
2864
+ "epoch": 7.06,
2865
+ "learning_rate": 3.362204724409449e-06,
2866
+ "loss": 0.0859,
2867
+ "step": 466
2868
+ },
2869
+ {
2870
+ "epoch": 7.08,
2871
+ "learning_rate": 3.358267716535433e-06,
2872
+ "loss": 0.0863,
2873
+ "step": 467
2874
+ },
2875
+ {
2876
+ "epoch": 7.09,
2877
+ "learning_rate": 3.3543307086614173e-06,
2878
+ "loss": 0.169,
2879
+ "step": 468
2880
+ },
2881
+ {
2882
+ "epoch": 7.11,
2883
+ "learning_rate": 3.350393700787402e-06,
2884
+ "loss": 0.4396,
2885
+ "step": 469
2886
+ },
2887
+ {
2888
+ "epoch": 7.12,
2889
+ "learning_rate": 3.346456692913386e-06,
2890
+ "loss": 0.3005,
2891
+ "step": 470
2892
+ },
2893
+ {
2894
+ "epoch": 7.14,
2895
+ "learning_rate": 3.3425196850393704e-06,
2896
+ "loss": 0.0832,
2897
+ "step": 471
2898
+ },
2899
+ {
2900
+ "epoch": 7.15,
2901
+ "learning_rate": 3.3385826771653546e-06,
2902
+ "loss": 0.4338,
2903
+ "step": 472
2904
+ },
2905
+ {
2906
+ "epoch": 7.17,
2907
+ "learning_rate": 3.334645669291339e-06,
2908
+ "loss": 0.0898,
2909
+ "step": 473
2910
+ },
2911
+ {
2912
+ "epoch": 7.18,
2913
+ "learning_rate": 3.3307086614173227e-06,
2914
+ "loss": 0.0873,
2915
+ "step": 474
2916
+ },
2917
+ {
2918
+ "epoch": 7.2,
2919
+ "learning_rate": 3.3267716535433077e-06,
2920
+ "loss": 0.0856,
2921
+ "step": 475
2922
+ },
2923
+ {
2924
+ "epoch": 7.21,
2925
+ "learning_rate": 3.3228346456692915e-06,
2926
+ "loss": 0.6076,
2927
+ "step": 476
2928
+ },
2929
+ {
2930
+ "epoch": 7.23,
2931
+ "learning_rate": 3.3188976377952757e-06,
2932
+ "loss": 0.8815,
2933
+ "step": 477
2934
+ },
2935
+ {
2936
+ "epoch": 7.24,
2937
+ "learning_rate": 3.31496062992126e-06,
2938
+ "loss": 0.3032,
2939
+ "step": 478
2940
+ },
2941
+ {
2942
+ "epoch": 7.26,
2943
+ "learning_rate": 3.311023622047244e-06,
2944
+ "loss": 0.0893,
2945
+ "step": 479
2946
+ },
2947
+ {
2948
+ "epoch": 7.27,
2949
+ "learning_rate": 3.307086614173229e-06,
2950
+ "loss": 0.0791,
2951
+ "step": 480
2952
+ },
2953
+ {
2954
+ "epoch": 7.29,
2955
+ "learning_rate": 3.303149606299213e-06,
2956
+ "loss": 0.0757,
2957
+ "step": 481
2958
+ },
2959
+ {
2960
+ "epoch": 7.3,
2961
+ "learning_rate": 3.2992125984251973e-06,
2962
+ "loss": 0.0902,
2963
+ "step": 482
2964
+ },
2965
+ {
2966
+ "epoch": 7.32,
2967
+ "learning_rate": 3.2952755905511815e-06,
2968
+ "loss": 0.0793,
2969
+ "step": 483
2970
+ },
2971
+ {
2972
+ "epoch": 7.33,
2973
+ "learning_rate": 3.2913385826771653e-06,
2974
+ "loss": 0.7039,
2975
+ "step": 484
2976
+ },
2977
+ {
2978
+ "epoch": 7.35,
2979
+ "learning_rate": 3.2874015748031503e-06,
2980
+ "loss": 0.0776,
2981
+ "step": 485
2982
+ },
2983
+ {
2984
+ "epoch": 7.36,
2985
+ "learning_rate": 3.283464566929134e-06,
2986
+ "loss": 0.0861,
2987
+ "step": 486
2988
+ },
2989
+ {
2990
+ "epoch": 7.38,
2991
+ "learning_rate": 3.2795275590551184e-06,
2992
+ "loss": 0.9843,
2993
+ "step": 487
2994
+ },
2995
+ {
2996
+ "epoch": 7.39,
2997
+ "learning_rate": 3.2755905511811026e-06,
2998
+ "loss": 0.2719,
2999
+ "step": 488
3000
+ },
3001
+ {
3002
+ "epoch": 7.41,
3003
+ "learning_rate": 3.271653543307087e-06,
3004
+ "loss": 0.0826,
3005
+ "step": 489
3006
+ },
3007
+ {
3008
+ "epoch": 7.42,
3009
+ "learning_rate": 3.267716535433071e-06,
3010
+ "loss": 0.0747,
3011
+ "step": 490
3012
+ },
3013
+ {
3014
+ "epoch": 7.44,
3015
+ "learning_rate": 3.2637795275590557e-06,
3016
+ "loss": 0.0754,
3017
+ "step": 491
3018
+ },
3019
+ {
3020
+ "epoch": 7.45,
3021
+ "learning_rate": 3.25984251968504e-06,
3022
+ "loss": 0.0743,
3023
+ "step": 492
3024
+ },
3025
+ {
3026
+ "epoch": 7.47,
3027
+ "learning_rate": 3.2559055118110237e-06,
3028
+ "loss": 0.0739,
3029
+ "step": 493
3030
+ },
3031
+ {
3032
+ "epoch": 7.48,
3033
+ "learning_rate": 3.251968503937008e-06,
3034
+ "loss": 0.073,
3035
+ "step": 494
3036
+ },
3037
+ {
3038
+ "epoch": 7.5,
3039
+ "learning_rate": 3.248031496062992e-06,
3040
+ "loss": 0.7082,
3041
+ "step": 495
3042
+ },
3043
+ {
3044
+ "epoch": 7.52,
3045
+ "learning_rate": 3.2440944881889768e-06,
3046
+ "loss": 0.0758,
3047
+ "step": 496
3048
+ },
3049
+ {
3050
+ "epoch": 7.53,
3051
+ "learning_rate": 3.240157480314961e-06,
3052
+ "loss": 0.0714,
3053
+ "step": 497
3054
+ },
3055
+ {
3056
+ "epoch": 7.55,
3057
+ "learning_rate": 3.236220472440945e-06,
3058
+ "loss": 0.079,
3059
+ "step": 498
3060
+ },
3061
+ {
3062
+ "epoch": 7.56,
3063
+ "learning_rate": 3.2322834645669294e-06,
3064
+ "loss": 0.0703,
3065
+ "step": 499
3066
+ },
3067
+ {
3068
+ "epoch": 7.58,
3069
+ "learning_rate": 3.2283464566929136e-06,
3070
+ "loss": 0.0716,
3071
+ "step": 500
3072
+ },
3073
+ {
3074
+ "epoch": 7.59,
3075
+ "learning_rate": 3.2244094488188983e-06,
3076
+ "loss": 0.0742,
3077
+ "step": 501
3078
+ },
3079
+ {
3080
+ "epoch": 7.61,
3081
+ "learning_rate": 3.2204724409448825e-06,
3082
+ "loss": 0.0691,
3083
+ "step": 502
3084
+ },
3085
+ {
3086
+ "epoch": 7.62,
3087
+ "learning_rate": 3.2165354330708663e-06,
3088
+ "loss": 0.0697,
3089
+ "step": 503
3090
+ },
3091
+ {
3092
+ "epoch": 7.64,
3093
+ "learning_rate": 3.2125984251968505e-06,
3094
+ "loss": 0.0791,
3095
+ "step": 504
3096
+ },
3097
+ {
3098
+ "epoch": 7.65,
3099
+ "learning_rate": 3.2086614173228347e-06,
3100
+ "loss": 0.2838,
3101
+ "step": 505
3102
+ },
3103
+ {
3104
+ "epoch": 7.67,
3105
+ "learning_rate": 3.204724409448819e-06,
3106
+ "loss": 0.0683,
3107
+ "step": 506
3108
+ },
3109
+ {
3110
+ "epoch": 7.68,
3111
+ "learning_rate": 3.2007874015748036e-06,
3112
+ "loss": 0.4993,
3113
+ "step": 507
3114
+ },
3115
+ {
3116
+ "epoch": 7.7,
3117
+ "learning_rate": 3.196850393700788e-06,
3118
+ "loss": 0.2051,
3119
+ "step": 508
3120
+ },
3121
+ {
3122
+ "epoch": 7.71,
3123
+ "learning_rate": 3.192913385826772e-06,
3124
+ "loss": 0.0673,
3125
+ "step": 509
3126
+ },
3127
+ {
3128
+ "epoch": 7.73,
3129
+ "learning_rate": 3.1889763779527563e-06,
3130
+ "loss": 0.0676,
3131
+ "step": 510
3132
+ },
3133
+ {
3134
+ "epoch": 7.74,
3135
+ "learning_rate": 3.18503937007874e-06,
3136
+ "loss": 0.7316,
3137
+ "step": 511
3138
+ },
3139
+ {
3140
+ "epoch": 7.76,
3141
+ "learning_rate": 3.1811023622047247e-06,
3142
+ "loss": 0.065,
3143
+ "step": 512
3144
+ },
3145
+ {
3146
+ "epoch": 7.77,
3147
+ "learning_rate": 3.177165354330709e-06,
3148
+ "loss": 0.2066,
3149
+ "step": 513
3150
+ },
3151
+ {
3152
+ "epoch": 7.79,
3153
+ "learning_rate": 3.173228346456693e-06,
3154
+ "loss": 0.1082,
3155
+ "step": 514
3156
+ },
3157
+ {
3158
+ "epoch": 7.8,
3159
+ "learning_rate": 3.1692913385826774e-06,
3160
+ "loss": 0.1039,
3161
+ "step": 515
3162
+ },
3163
+ {
3164
+ "epoch": 7.82,
3165
+ "learning_rate": 3.1653543307086616e-06,
3166
+ "loss": 0.0752,
3167
+ "step": 516
3168
+ },
3169
+ {
3170
+ "epoch": 7.83,
3171
+ "learning_rate": 3.1614173228346462e-06,
3172
+ "loss": 0.0647,
3173
+ "step": 517
3174
+ },
3175
+ {
3176
+ "epoch": 7.85,
3177
+ "learning_rate": 3.1574803149606304e-06,
3178
+ "loss": 0.0636,
3179
+ "step": 518
3180
+ },
3181
+ {
3182
+ "epoch": 7.86,
3183
+ "learning_rate": 3.1535433070866147e-06,
3184
+ "loss": 0.2198,
3185
+ "step": 519
3186
+ },
3187
+ {
3188
+ "epoch": 7.88,
3189
+ "learning_rate": 3.1496062992125985e-06,
3190
+ "loss": 0.0719,
3191
+ "step": 520
3192
+ },
3193
+ {
3194
+ "epoch": 7.89,
3195
+ "learning_rate": 3.1456692913385827e-06,
3196
+ "loss": 0.0642,
3197
+ "step": 521
3198
+ },
3199
+ {
3200
+ "epoch": 7.91,
3201
+ "learning_rate": 3.141732283464567e-06,
3202
+ "loss": 0.0711,
3203
+ "step": 522
3204
+ },
3205
+ {
3206
+ "epoch": 7.92,
3207
+ "learning_rate": 3.1377952755905515e-06,
3208
+ "loss": 0.0645,
3209
+ "step": 523
3210
+ },
3211
+ {
3212
+ "epoch": 7.94,
3213
+ "learning_rate": 3.1338582677165358e-06,
3214
+ "loss": 0.1827,
3215
+ "step": 524
3216
+ },
3217
+ {
3218
+ "epoch": 7.95,
3219
+ "learning_rate": 3.12992125984252e-06,
3220
+ "loss": 0.0636,
3221
+ "step": 525
3222
+ },
3223
+ {
3224
+ "epoch": 7.97,
3225
+ "learning_rate": 3.125984251968504e-06,
3226
+ "loss": 0.0634,
3227
+ "step": 526
3228
+ },
3229
+ {
3230
+ "epoch": 7.98,
3231
+ "learning_rate": 3.1220472440944884e-06,
3232
+ "loss": 0.2832,
3233
+ "step": 527
3234
+ },
3235
+ {
3236
+ "epoch": 8.0,
3237
+ "learning_rate": 3.118110236220473e-06,
3238
+ "loss": 0.0683,
3239
+ "step": 528
3240
+ },
3241
+ {
3242
+ "epoch": 8.0,
3243
+ "eval_accuracy": 0.9545454545454546,
3244
+ "eval_loss": 0.18883031606674194,
3245
+ "eval_runtime": 6.9079,
3246
+ "eval_samples_per_second": 9.554,
3247
+ "eval_steps_per_second": 2.461,
3248
+ "step": 528
3249
+ },
3250
+ {
3251
+ "epoch": 8.02,
3252
+ "learning_rate": 3.1141732283464573e-06,
3253
+ "loss": 0.0693,
3254
+ "step": 529
3255
+ },
3256
+ {
3257
+ "epoch": 8.03,
3258
+ "learning_rate": 3.110236220472441e-06,
3259
+ "loss": 0.7524,
3260
+ "step": 530
3261
+ },
3262
+ {
3263
+ "epoch": 8.05,
3264
+ "learning_rate": 3.1062992125984253e-06,
3265
+ "loss": 0.1929,
3266
+ "step": 531
3267
+ },
3268
+ {
3269
+ "epoch": 8.06,
3270
+ "learning_rate": 3.1023622047244095e-06,
3271
+ "loss": 0.0604,
3272
+ "step": 532
3273
+ },
3274
+ {
3275
+ "epoch": 8.08,
3276
+ "learning_rate": 3.098425196850394e-06,
3277
+ "loss": 0.0603,
3278
+ "step": 533
3279
+ },
3280
+ {
3281
+ "epoch": 8.09,
3282
+ "learning_rate": 3.0944881889763784e-06,
3283
+ "loss": 0.1681,
3284
+ "step": 534
3285
+ },
3286
+ {
3287
+ "epoch": 8.11,
3288
+ "learning_rate": 3.0905511811023626e-06,
3289
+ "loss": 0.0663,
3290
+ "step": 535
3291
+ },
3292
+ {
3293
+ "epoch": 8.12,
3294
+ "learning_rate": 3.086614173228347e-06,
3295
+ "loss": 0.0625,
3296
+ "step": 536
3297
+ },
3298
+ {
3299
+ "epoch": 8.14,
3300
+ "learning_rate": 3.0826771653543306e-06,
3301
+ "loss": 0.0799,
3302
+ "step": 537
3303
+ },
3304
+ {
3305
+ "epoch": 8.15,
3306
+ "learning_rate": 3.078740157480315e-06,
3307
+ "loss": 0.29,
3308
+ "step": 538
3309
+ },
3310
+ {
3311
+ "epoch": 8.17,
3312
+ "learning_rate": 3.0748031496062995e-06,
3313
+ "loss": 0.5023,
3314
+ "step": 539
3315
+ },
3316
+ {
3317
+ "epoch": 8.18,
3318
+ "learning_rate": 3.0708661417322837e-06,
3319
+ "loss": 0.0811,
3320
+ "step": 540
3321
+ },
3322
+ {
3323
+ "epoch": 8.2,
3324
+ "learning_rate": 3.066929133858268e-06,
3325
+ "loss": 0.0576,
3326
+ "step": 541
3327
+ },
3328
+ {
3329
+ "epoch": 8.21,
3330
+ "learning_rate": 3.062992125984252e-06,
3331
+ "loss": 0.0572,
3332
+ "step": 542
3333
+ },
3334
+ {
3335
+ "epoch": 8.23,
3336
+ "learning_rate": 3.0590551181102364e-06,
3337
+ "loss": 0.0571,
3338
+ "step": 543
3339
+ },
3340
+ {
3341
+ "epoch": 8.24,
3342
+ "learning_rate": 3.055118110236221e-06,
3343
+ "loss": 0.0626,
3344
+ "step": 544
3345
+ },
3346
+ {
3347
+ "epoch": 8.26,
3348
+ "learning_rate": 3.0511811023622052e-06,
3349
+ "loss": 0.5849,
3350
+ "step": 545
3351
+ },
3352
+ {
3353
+ "epoch": 8.27,
3354
+ "learning_rate": 3.0472440944881894e-06,
3355
+ "loss": 0.7242,
3356
+ "step": 546
3357
+ },
3358
+ {
3359
+ "epoch": 8.29,
3360
+ "learning_rate": 3.0433070866141732e-06,
3361
+ "loss": 0.0564,
3362
+ "step": 547
3363
+ },
3364
+ {
3365
+ "epoch": 8.3,
3366
+ "learning_rate": 3.0393700787401575e-06,
3367
+ "loss": 0.0649,
3368
+ "step": 548
3369
+ },
3370
+ {
3371
+ "epoch": 8.32,
3372
+ "learning_rate": 3.035433070866142e-06,
3373
+ "loss": 0.0547,
3374
+ "step": 549
3375
+ },
3376
+ {
3377
+ "epoch": 8.33,
3378
+ "learning_rate": 3.0314960629921263e-06,
3379
+ "loss": 0.2119,
3380
+ "step": 550
3381
+ },
3382
+ {
3383
+ "epoch": 8.35,
3384
+ "learning_rate": 3.0275590551181105e-06,
3385
+ "loss": 0.0541,
3386
+ "step": 551
3387
+ },
3388
+ {
3389
+ "epoch": 8.36,
3390
+ "learning_rate": 3.0236220472440948e-06,
3391
+ "loss": 0.0551,
3392
+ "step": 552
3393
+ },
3394
+ {
3395
+ "epoch": 8.38,
3396
+ "learning_rate": 3.019685039370079e-06,
3397
+ "loss": 0.0596,
3398
+ "step": 553
3399
+ },
3400
+ {
3401
+ "epoch": 8.39,
3402
+ "learning_rate": 3.015748031496063e-06,
3403
+ "loss": 0.0533,
3404
+ "step": 554
3405
+ },
3406
+ {
3407
+ "epoch": 8.41,
3408
+ "learning_rate": 3.011811023622048e-06,
3409
+ "loss": 0.4296,
3410
+ "step": 555
3411
+ },
3412
+ {
3413
+ "epoch": 8.42,
3414
+ "learning_rate": 3.0078740157480316e-06,
3415
+ "loss": 0.1105,
3416
+ "step": 556
3417
+ },
3418
+ {
3419
+ "epoch": 8.44,
3420
+ "learning_rate": 3.003937007874016e-06,
3421
+ "loss": 0.054,
3422
+ "step": 557
3423
+ },
3424
+ {
3425
+ "epoch": 8.45,
3426
+ "learning_rate": 3e-06,
3427
+ "loss": 0.055,
3428
+ "step": 558
3429
+ },
3430
+ {
3431
+ "epoch": 8.47,
3432
+ "learning_rate": 2.9960629921259843e-06,
3433
+ "loss": 0.0517,
3434
+ "step": 559
3435
+ },
3436
+ {
3437
+ "epoch": 8.48,
3438
+ "learning_rate": 2.992125984251969e-06,
3439
+ "loss": 0.7577,
3440
+ "step": 560
3441
+ },
3442
+ {
3443
+ "epoch": 8.5,
3444
+ "learning_rate": 2.988188976377953e-06,
3445
+ "loss": 0.0598,
3446
+ "step": 561
3447
+ },
3448
+ {
3449
+ "epoch": 8.52,
3450
+ "learning_rate": 2.9842519685039374e-06,
3451
+ "loss": 0.0517,
3452
+ "step": 562
3453
+ },
3454
+ {
3455
+ "epoch": 8.53,
3456
+ "learning_rate": 2.9803149606299216e-06,
3457
+ "loss": 0.5103,
3458
+ "step": 563
3459
+ },
3460
+ {
3461
+ "epoch": 8.55,
3462
+ "learning_rate": 2.9763779527559054e-06,
3463
+ "loss": 0.0534,
3464
+ "step": 564
3465
+ },
3466
+ {
3467
+ "epoch": 8.56,
3468
+ "learning_rate": 2.9724409448818905e-06,
3469
+ "loss": 0.0527,
3470
+ "step": 565
3471
+ },
3472
+ {
3473
+ "epoch": 8.58,
3474
+ "learning_rate": 2.9685039370078743e-06,
3475
+ "loss": 0.0585,
3476
+ "step": 566
3477
+ },
3478
+ {
3479
+ "epoch": 8.59,
3480
+ "learning_rate": 2.9645669291338585e-06,
3481
+ "loss": 0.0834,
3482
+ "step": 567
3483
+ },
3484
+ {
3485
+ "epoch": 8.61,
3486
+ "learning_rate": 2.9606299212598427e-06,
3487
+ "loss": 0.7881,
3488
+ "step": 568
3489
+ },
3490
+ {
3491
+ "epoch": 8.62,
3492
+ "learning_rate": 2.956692913385827e-06,
3493
+ "loss": 0.071,
3494
+ "step": 569
3495
+ },
3496
+ {
3497
+ "epoch": 8.64,
3498
+ "learning_rate": 2.952755905511811e-06,
3499
+ "loss": 0.0518,
3500
+ "step": 570
3501
+ },
3502
+ {
3503
+ "epoch": 8.65,
3504
+ "learning_rate": 2.9488188976377958e-06,
3505
+ "loss": 0.0574,
3506
+ "step": 571
3507
+ },
3508
+ {
3509
+ "epoch": 8.67,
3510
+ "learning_rate": 2.94488188976378e-06,
3511
+ "loss": 0.0522,
3512
+ "step": 572
3513
+ },
3514
+ {
3515
+ "epoch": 8.68,
3516
+ "learning_rate": 2.9409448818897642e-06,
3517
+ "loss": 0.0486,
3518
+ "step": 573
3519
+ },
3520
+ {
3521
+ "epoch": 8.7,
3522
+ "learning_rate": 2.937007874015748e-06,
3523
+ "loss": 0.1236,
3524
+ "step": 574
3525
+ },
3526
+ {
3527
+ "epoch": 8.71,
3528
+ "learning_rate": 2.9330708661417322e-06,
3529
+ "loss": 0.0501,
3530
+ "step": 575
3531
+ },
3532
+ {
3533
+ "epoch": 8.73,
3534
+ "learning_rate": 2.929133858267717e-06,
3535
+ "loss": 0.0509,
3536
+ "step": 576
3537
+ },
3538
+ {
3539
+ "epoch": 8.74,
3540
+ "learning_rate": 2.925196850393701e-06,
3541
+ "loss": 0.0497,
3542
+ "step": 577
3543
+ },
3544
+ {
3545
+ "epoch": 8.76,
3546
+ "learning_rate": 2.9212598425196853e-06,
3547
+ "loss": 0.3165,
3548
+ "step": 578
3549
+ },
3550
+ {
3551
+ "epoch": 8.77,
3552
+ "learning_rate": 2.9173228346456695e-06,
3553
+ "loss": 0.0532,
3554
+ "step": 579
3555
+ },
3556
+ {
3557
+ "epoch": 8.79,
3558
+ "learning_rate": 2.9133858267716538e-06,
3559
+ "loss": 0.1789,
3560
+ "step": 580
3561
+ },
3562
+ {
3563
+ "epoch": 8.8,
3564
+ "learning_rate": 2.9094488188976384e-06,
3565
+ "loss": 0.119,
3566
+ "step": 581
3567
+ },
3568
+ {
3569
+ "epoch": 8.82,
3570
+ "learning_rate": 2.9055118110236226e-06,
3571
+ "loss": 0.0476,
3572
+ "step": 582
3573
+ },
3574
+ {
3575
+ "epoch": 8.83,
3576
+ "learning_rate": 2.9015748031496064e-06,
3577
+ "loss": 0.0482,
3578
+ "step": 583
3579
+ },
3580
+ {
3581
+ "epoch": 8.85,
3582
+ "learning_rate": 2.8976377952755906e-06,
3583
+ "loss": 0.2127,
3584
+ "step": 584
3585
+ },
3586
+ {
3587
+ "epoch": 8.86,
3588
+ "learning_rate": 2.893700787401575e-06,
3589
+ "loss": 0.0508,
3590
+ "step": 585
3591
+ },
3592
+ {
3593
+ "epoch": 8.88,
3594
+ "learning_rate": 2.889763779527559e-06,
3595
+ "loss": 0.0935,
3596
+ "step": 586
3597
+ },
3598
+ {
3599
+ "epoch": 8.89,
3600
+ "learning_rate": 2.8858267716535437e-06,
3601
+ "loss": 0.0468,
3602
+ "step": 587
3603
+ },
3604
+ {
3605
+ "epoch": 8.91,
3606
+ "learning_rate": 2.881889763779528e-06,
3607
+ "loss": 0.0463,
3608
+ "step": 588
3609
+ },
3610
+ {
3611
+ "epoch": 8.92,
3612
+ "learning_rate": 2.877952755905512e-06,
3613
+ "loss": 0.078,
3614
+ "step": 589
3615
+ },
3616
+ {
3617
+ "epoch": 8.94,
3618
+ "learning_rate": 2.8740157480314964e-06,
3619
+ "loss": 0.0486,
3620
+ "step": 590
3621
+ },
3622
+ {
3623
+ "epoch": 8.95,
3624
+ "learning_rate": 2.87007874015748e-06,
3625
+ "loss": 0.1974,
3626
+ "step": 591
3627
+ },
3628
+ {
3629
+ "epoch": 8.97,
3630
+ "learning_rate": 2.8661417322834652e-06,
3631
+ "loss": 1.5522,
3632
+ "step": 592
3633
+ },
3634
+ {
3635
+ "epoch": 8.98,
3636
+ "learning_rate": 2.862204724409449e-06,
3637
+ "loss": 0.046,
3638
+ "step": 593
3639
+ },
3640
+ {
3641
+ "epoch": 9.0,
3642
+ "learning_rate": 2.8582677165354333e-06,
3643
+ "loss": 0.0572,
3644
+ "step": 594
3645
+ },
3646
+ {
3647
+ "epoch": 9.0,
3648
+ "eval_accuracy": 0.9545454545454546,
3649
+ "eval_loss": 0.18054482340812683,
3650
+ "eval_runtime": 6.2699,
3651
+ "eval_samples_per_second": 10.526,
3652
+ "eval_steps_per_second": 2.711,
3653
+ "step": 594
3654
+ }
3655
+ ],
3656
+ "max_steps": 1320,
3657
+ "num_train_epochs": 20,
3658
+ "total_flos": 2.0278844132667123e+17,
3659
+ "trial_name": null,
3660
+ "trial_params": null
3661
+ }
checkpoint-594/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d4fba6b704dfb45312fb9c8b716fbccad21fadbd01864cb25088260308dbeef3
3
+ size 3567
config.json ADDED
@@ -0,0 +1,113 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "facebook/wav2vec2-base-960h",
3
+ "activation_dropout": 0.1,
4
+ "adapter_kernel_size": 3,
5
+ "adapter_stride": 2,
6
+ "add_adapter": false,
7
+ "apply_spec_augment": true,
8
+ "architectures": [
9
+ "Wav2Vec2ForSequenceClassification"
10
+ ],
11
+ "attention_dropout": 0.1,
12
+ "bos_token_id": 1,
13
+ "classifier_proj_size": 256,
14
+ "codevector_dim": 256,
15
+ "contrastive_logits_temperature": 0.1,
16
+ "conv_bias": false,
17
+ "conv_dim": [
18
+ 512,
19
+ 512,
20
+ 512,
21
+ 512,
22
+ 512,
23
+ 512,
24
+ 512
25
+ ],
26
+ "conv_kernel": [
27
+ 10,
28
+ 3,
29
+ 3,
30
+ 3,
31
+ 3,
32
+ 2,
33
+ 2
34
+ ],
35
+ "conv_stride": [
36
+ 5,
37
+ 2,
38
+ 2,
39
+ 2,
40
+ 2,
41
+ 2,
42
+ 2
43
+ ],
44
+ "ctc_loss_reduction": "sum",
45
+ "ctc_zero_infinity": false,
46
+ "diversity_loss_weight": 0.1,
47
+ "do_stable_layer_norm": false,
48
+ "eos_token_id": 2,
49
+ "feat_extract_activation": "gelu",
50
+ "feat_extract_dropout": 0.0,
51
+ "feat_extract_norm": "group",
52
+ "feat_proj_dropout": 0.1,
53
+ "feat_quantizer_dropout": 0.0,
54
+ "final_dropout": 0.1,
55
+ "gradient_checkpointing": false,
56
+ "hidden_act": "gelu",
57
+ "hidden_dropout": 0.1,
58
+ "hidden_dropout_prob": 0.1,
59
+ "hidden_size": 768,
60
+ "id2label": {
61
+ "0": "cat",
62
+ "1": "dog"
63
+ },
64
+ "initializer_range": 0.02,
65
+ "intermediate_size": 3072,
66
+ "layer_norm_eps": 1e-05,
67
+ "layerdrop": 0.1,
68
+ "mask_feature_length": 10,
69
+ "mask_feature_min_masks": 0,
70
+ "mask_feature_prob": 0.0,
71
+ "mask_time_length": 10,
72
+ "mask_time_min_masks": 2,
73
+ "mask_time_prob": 0.05,
74
+ "model_type": "wav2vec2",
75
+ "num_adapter_layers": 3,
76
+ "num_attention_heads": 12,
77
+ "num_codevector_groups": 2,
78
+ "num_codevectors_per_group": 320,
79
+ "num_conv_pos_embedding_groups": 16,
80
+ "num_conv_pos_embeddings": 128,
81
+ "num_feat_extract_layers": 7,
82
+ "num_hidden_layers": 12,
83
+ "num_negatives": 100,
84
+ "output_hidden_size": 768,
85
+ "pad_token_id": 0,
86
+ "proj_codevector_dim": 256,
87
+ "tdnn_dilation": [
88
+ 1,
89
+ 2,
90
+ 3,
91
+ 1,
92
+ 1
93
+ ],
94
+ "tdnn_dim": [
95
+ 512,
96
+ 512,
97
+ 512,
98
+ 512,
99
+ 1500
100
+ ],
101
+ "tdnn_kernel": [
102
+ 5,
103
+ 3,
104
+ 3,
105
+ 1,
106
+ 1
107
+ ],
108
+ "torch_dtype": "float32",
109
+ "transformers_version": "4.28.1",
110
+ "use_weighted_layer_sum": false,
111
+ "vocab_size": 32,
112
+ "xvector_output_dim": 512
113
+ }
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": 0.0,
7
+ "return_attention_mask": false,
8
+ "sampling_rate": 16000
9
+ }
pytorch_model.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:1c7703931a4da1e56d95c6aa0a0b88792476b5f3de2ecae89d6337234dec2b08
3
+ size 378348563
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d4fba6b704dfb45312fb9c8b716fbccad21fadbd01864cb25088260308dbeef3
3
+ size 3567