Add model files
Browse files- config.json +76 -0
- optimizer.pt +3 -0
- preprocessor_config.json +8 -0
- pytorch_model.bin +3 -0
- scheduler.pt +3 -0
- special_tokens_map.json +1 -0
- tokenizer_config.json +1 -0
- trainer_state.json +2866 -0
- training_args.bin +3 -0
- vocab.json +0 -0
config.json
ADDED
@@ -0,0 +1,76 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "/workspace/output_models/wav2vec-v2-large-xlsr-zh-CN-TW/checkpoint-2200",
|
3 |
+
"activation_dropout": 0.0,
|
4 |
+
"apply_spec_augment": true,
|
5 |
+
"architectures": [
|
6 |
+
"Wav2Vec2ForCTC"
|
7 |
+
],
|
8 |
+
"attention_dropout": 0.1,
|
9 |
+
"bos_token_id": 1,
|
10 |
+
"conv_bias": true,
|
11 |
+
"conv_dim": [
|
12 |
+
512,
|
13 |
+
512,
|
14 |
+
512,
|
15 |
+
512,
|
16 |
+
512,
|
17 |
+
512,
|
18 |
+
512
|
19 |
+
],
|
20 |
+
"conv_kernel": [
|
21 |
+
10,
|
22 |
+
3,
|
23 |
+
3,
|
24 |
+
3,
|
25 |
+
3,
|
26 |
+
2,
|
27 |
+
2
|
28 |
+
],
|
29 |
+
"conv_stride": [
|
30 |
+
5,
|
31 |
+
2,
|
32 |
+
2,
|
33 |
+
2,
|
34 |
+
2,
|
35 |
+
2,
|
36 |
+
2
|
37 |
+
],
|
38 |
+
"ctc_loss_reduction": "mean",
|
39 |
+
"ctc_zero_infinity": false,
|
40 |
+
"do_stable_layer_norm": true,
|
41 |
+
"eos_token_id": 2,
|
42 |
+
"feat_extract_activation": "gelu",
|
43 |
+
"feat_extract_dropout": 0.0,
|
44 |
+
"feat_extract_norm": "layer",
|
45 |
+
"feat_proj_dropout": 0.0,
|
46 |
+
"final_dropout": 0.0,
|
47 |
+
"gradient_checkpointing": true,
|
48 |
+
"hidden_act": "gelu",
|
49 |
+
"hidden_dropout": 0.1,
|
50 |
+
"hidden_size": 1024,
|
51 |
+
"initializer_range": 0.02,
|
52 |
+
"intermediate_size": 4096,
|
53 |
+
"layer_norm_eps": 1e-05,
|
54 |
+
"layerdrop": 0.1,
|
55 |
+
"mask_channel_length": 10,
|
56 |
+
"mask_channel_min_space": 1,
|
57 |
+
"mask_channel_other": 0.0,
|
58 |
+
"mask_channel_prob": 0.0,
|
59 |
+
"mask_channel_selection": "static",
|
60 |
+
"mask_feature_length": 10,
|
61 |
+
"mask_feature_prob": 0.0,
|
62 |
+
"mask_time_length": 10,
|
63 |
+
"mask_time_min_space": 1,
|
64 |
+
"mask_time_other": 0.0,
|
65 |
+
"mask_time_prob": 0.05,
|
66 |
+
"mask_time_selection": "static",
|
67 |
+
"model_type": "wav2vec2",
|
68 |
+
"num_attention_heads": 16,
|
69 |
+
"num_conv_pos_embedding_groups": 16,
|
70 |
+
"num_conv_pos_embeddings": 128,
|
71 |
+
"num_feat_extract_layers": 7,
|
72 |
+
"num_hidden_layers": 24,
|
73 |
+
"pad_token_id": 0,
|
74 |
+
"transformers_version": "4.5.0.dev0",
|
75 |
+
"vocab_size": 21128
|
76 |
+
}
|
optimizer.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:972c6c94353167e2e7528894c56c56c497bf2902623665b4df3b9fdba1213df6
|
3 |
+
size 2697025919
|
preprocessor_config.json
ADDED
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"do_normalize": true,
|
3 |
+
"feature_size": 1,
|
4 |
+
"padding_side": "right",
|
5 |
+
"padding_value": 0.0,
|
6 |
+
"return_attention_mask": true,
|
7 |
+
"sampling_rate": 16000
|
8 |
+
}
|
pytorch_model.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:39e384f943a86f4c65cf37476a4782c5918bb7b9a38858ece8dc0d9e7bd21185
|
3 |
+
size 1348558615
|
scheduler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:9fbdb458a40d16bed9dcf355a15882c08c42b323b7fd06e93eda7bb7987e9a0e
|
3 |
+
size 623
|
special_tokens_map.json
ADDED
@@ -0,0 +1 @@
|
|
|
|
|
1 |
+
{"bos_token": "<s>", "eos_token": "</s>", "unk_token": "[UNK]", "pad_token": "[PAD]"}
|
tokenizer_config.json
ADDED
@@ -0,0 +1 @@
|
|
|
|
|
1 |
+
{"unk_token": "[UNK]", "bos_token": "<s>", "eos_token": "</s>", "pad_token": "[PAD]", "do_lower_case": false, "word_delimiter_token": "|"}
|
trainer_state.json
ADDED
@@ -0,0 +1,2866 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": null,
|
3 |
+
"best_model_checkpoint": null,
|
4 |
+
"epoch": 4.024486226497595,
|
5 |
+
"global_step": 4600,
|
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": 4.9999999999999996e-06,
|
13 |
+
"loss": 155.33,
|
14 |
+
"step": 10
|
15 |
+
},
|
16 |
+
{
|
17 |
+
"epoch": 0.03,
|
18 |
+
"learning_rate": 9.999999999999999e-06,
|
19 |
+
"loss": 175.1775,
|
20 |
+
"step": 20
|
21 |
+
},
|
22 |
+
{
|
23 |
+
"epoch": 0.05,
|
24 |
+
"learning_rate": 1.4999999999999999e-05,
|
25 |
+
"loss": 165.6332,
|
26 |
+
"step": 30
|
27 |
+
},
|
28 |
+
{
|
29 |
+
"epoch": 0.07,
|
30 |
+
"learning_rate": 1.9999999999999998e-05,
|
31 |
+
"loss": 161.1489,
|
32 |
+
"step": 40
|
33 |
+
},
|
34 |
+
{
|
35 |
+
"epoch": 0.09,
|
36 |
+
"learning_rate": 2.4999999999999998e-05,
|
37 |
+
"loss": 176.11,
|
38 |
+
"step": 50
|
39 |
+
},
|
40 |
+
{
|
41 |
+
"epoch": 0.1,
|
42 |
+
"learning_rate": 2.9999999999999997e-05,
|
43 |
+
"loss": 153.7462,
|
44 |
+
"step": 60
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 0.12,
|
48 |
+
"learning_rate": 3.5e-05,
|
49 |
+
"loss": 170.9414,
|
50 |
+
"step": 70
|
51 |
+
},
|
52 |
+
{
|
53 |
+
"epoch": 0.14,
|
54 |
+
"learning_rate": 3.9999999999999996e-05,
|
55 |
+
"loss": 160.0549,
|
56 |
+
"step": 80
|
57 |
+
},
|
58 |
+
{
|
59 |
+
"epoch": 0.16,
|
60 |
+
"learning_rate": 4.4999999999999996e-05,
|
61 |
+
"loss": 151.4735,
|
62 |
+
"step": 90
|
63 |
+
},
|
64 |
+
{
|
65 |
+
"epoch": 0.17,
|
66 |
+
"learning_rate": 4.9999999999999996e-05,
|
67 |
+
"loss": 167.8096,
|
68 |
+
"step": 100
|
69 |
+
},
|
70 |
+
{
|
71 |
+
"epoch": 0.19,
|
72 |
+
"learning_rate": 5.499999999999999e-05,
|
73 |
+
"loss": 141.9121,
|
74 |
+
"step": 110
|
75 |
+
},
|
76 |
+
{
|
77 |
+
"epoch": 0.21,
|
78 |
+
"learning_rate": 5.9999999999999995e-05,
|
79 |
+
"loss": 153.8951,
|
80 |
+
"step": 120
|
81 |
+
},
|
82 |
+
{
|
83 |
+
"epoch": 0.23,
|
84 |
+
"learning_rate": 6.5e-05,
|
85 |
+
"loss": 131.0289,
|
86 |
+
"step": 130
|
87 |
+
},
|
88 |
+
{
|
89 |
+
"epoch": 0.24,
|
90 |
+
"learning_rate": 7e-05,
|
91 |
+
"loss": 101.1117,
|
92 |
+
"step": 140
|
93 |
+
},
|
94 |
+
{
|
95 |
+
"epoch": 0.26,
|
96 |
+
"learning_rate": 7.5e-05,
|
97 |
+
"loss": 100.5863,
|
98 |
+
"step": 150
|
99 |
+
},
|
100 |
+
{
|
101 |
+
"epoch": 0.28,
|
102 |
+
"learning_rate": 7.999999999999999e-05,
|
103 |
+
"loss": 80.6457,
|
104 |
+
"step": 160
|
105 |
+
},
|
106 |
+
{
|
107 |
+
"epoch": 0.3,
|
108 |
+
"learning_rate": 8.499999999999999e-05,
|
109 |
+
"loss": 80.4102,
|
110 |
+
"step": 170
|
111 |
+
},
|
112 |
+
{
|
113 |
+
"epoch": 0.31,
|
114 |
+
"learning_rate": 8.999999999999999e-05,
|
115 |
+
"loss": 70.8443,
|
116 |
+
"step": 180
|
117 |
+
},
|
118 |
+
{
|
119 |
+
"epoch": 0.33,
|
120 |
+
"learning_rate": 9.499999999999999e-05,
|
121 |
+
"loss": 61.107,
|
122 |
+
"step": 190
|
123 |
+
},
|
124 |
+
{
|
125 |
+
"epoch": 0.35,
|
126 |
+
"learning_rate": 9.999999999999999e-05,
|
127 |
+
"loss": 56.9596,
|
128 |
+
"step": 200
|
129 |
+
},
|
130 |
+
{
|
131 |
+
"epoch": 0.37,
|
132 |
+
"learning_rate": 0.00010499999999999999,
|
133 |
+
"loss": 40.8098,
|
134 |
+
"step": 210
|
135 |
+
},
|
136 |
+
{
|
137 |
+
"epoch": 0.38,
|
138 |
+
"learning_rate": 0.00010999999999999998,
|
139 |
+
"loss": 36.5124,
|
140 |
+
"step": 220
|
141 |
+
},
|
142 |
+
{
|
143 |
+
"epoch": 0.4,
|
144 |
+
"learning_rate": 0.000115,
|
145 |
+
"loss": 28.1064,
|
146 |
+
"step": 230
|
147 |
+
},
|
148 |
+
{
|
149 |
+
"epoch": 0.42,
|
150 |
+
"learning_rate": 0.00011999999999999999,
|
151 |
+
"loss": 20.9962,
|
152 |
+
"step": 240
|
153 |
+
},
|
154 |
+
{
|
155 |
+
"epoch": 0.44,
|
156 |
+
"learning_rate": 0.000125,
|
157 |
+
"loss": 16.4393,
|
158 |
+
"step": 250
|
159 |
+
},
|
160 |
+
{
|
161 |
+
"epoch": 0.45,
|
162 |
+
"learning_rate": 0.00013,
|
163 |
+
"loss": 10.9059,
|
164 |
+
"step": 260
|
165 |
+
},
|
166 |
+
{
|
167 |
+
"epoch": 0.47,
|
168 |
+
"learning_rate": 0.000135,
|
169 |
+
"loss": 8.8954,
|
170 |
+
"step": 270
|
171 |
+
},
|
172 |
+
{
|
173 |
+
"epoch": 0.49,
|
174 |
+
"learning_rate": 0.00014,
|
175 |
+
"loss": 7.7207,
|
176 |
+
"step": 280
|
177 |
+
},
|
178 |
+
{
|
179 |
+
"epoch": 0.51,
|
180 |
+
"learning_rate": 0.000145,
|
181 |
+
"loss": 7.0725,
|
182 |
+
"step": 290
|
183 |
+
},
|
184 |
+
{
|
185 |
+
"epoch": 0.52,
|
186 |
+
"learning_rate": 0.00015,
|
187 |
+
"loss": 6.9189,
|
188 |
+
"step": 300
|
189 |
+
},
|
190 |
+
{
|
191 |
+
"epoch": 0.54,
|
192 |
+
"learning_rate": 0.000155,
|
193 |
+
"loss": 6.9459,
|
194 |
+
"step": 310
|
195 |
+
},
|
196 |
+
{
|
197 |
+
"epoch": 0.56,
|
198 |
+
"learning_rate": 0.00015999999999999999,
|
199 |
+
"loss": 6.8881,
|
200 |
+
"step": 320
|
201 |
+
},
|
202 |
+
{
|
203 |
+
"epoch": 0.58,
|
204 |
+
"learning_rate": 0.000165,
|
205 |
+
"loss": 6.8779,
|
206 |
+
"step": 330
|
207 |
+
},
|
208 |
+
{
|
209 |
+
"epoch": 0.59,
|
210 |
+
"learning_rate": 0.00016999999999999999,
|
211 |
+
"loss": 6.897,
|
212 |
+
"step": 340
|
213 |
+
},
|
214 |
+
{
|
215 |
+
"epoch": 0.61,
|
216 |
+
"learning_rate": 0.000175,
|
217 |
+
"loss": 6.7802,
|
218 |
+
"step": 350
|
219 |
+
},
|
220 |
+
{
|
221 |
+
"epoch": 0.63,
|
222 |
+
"learning_rate": 0.00017999999999999998,
|
223 |
+
"loss": 6.8897,
|
224 |
+
"step": 360
|
225 |
+
},
|
226 |
+
{
|
227 |
+
"epoch": 0.65,
|
228 |
+
"learning_rate": 0.000185,
|
229 |
+
"loss": 6.8261,
|
230 |
+
"step": 370
|
231 |
+
},
|
232 |
+
{
|
233 |
+
"epoch": 0.66,
|
234 |
+
"learning_rate": 0.00018999999999999998,
|
235 |
+
"loss": 6.7646,
|
236 |
+
"step": 380
|
237 |
+
},
|
238 |
+
{
|
239 |
+
"epoch": 0.68,
|
240 |
+
"learning_rate": 0.000195,
|
241 |
+
"loss": 6.7816,
|
242 |
+
"step": 390
|
243 |
+
},
|
244 |
+
{
|
245 |
+
"epoch": 0.7,
|
246 |
+
"learning_rate": 0.00019999999999999998,
|
247 |
+
"loss": 6.7041,
|
248 |
+
"step": 400
|
249 |
+
},
|
250 |
+
{
|
251 |
+
"epoch": 0.72,
|
252 |
+
"learning_rate": 0.000205,
|
253 |
+
"loss": 6.7975,
|
254 |
+
"step": 410
|
255 |
+
},
|
256 |
+
{
|
257 |
+
"epoch": 0.73,
|
258 |
+
"learning_rate": 0.00020999999999999998,
|
259 |
+
"loss": 6.6509,
|
260 |
+
"step": 420
|
261 |
+
},
|
262 |
+
{
|
263 |
+
"epoch": 0.75,
|
264 |
+
"learning_rate": 0.000215,
|
265 |
+
"loss": 6.6573,
|
266 |
+
"step": 430
|
267 |
+
},
|
268 |
+
{
|
269 |
+
"epoch": 0.77,
|
270 |
+
"learning_rate": 0.00021999999999999995,
|
271 |
+
"loss": 6.6817,
|
272 |
+
"step": 440
|
273 |
+
},
|
274 |
+
{
|
275 |
+
"epoch": 0.79,
|
276 |
+
"learning_rate": 0.000225,
|
277 |
+
"loss": 6.5168,
|
278 |
+
"step": 450
|
279 |
+
},
|
280 |
+
{
|
281 |
+
"epoch": 0.8,
|
282 |
+
"learning_rate": 0.00023,
|
283 |
+
"loss": 6.7404,
|
284 |
+
"step": 460
|
285 |
+
},
|
286 |
+
{
|
287 |
+
"epoch": 0.82,
|
288 |
+
"learning_rate": 0.00023499999999999997,
|
289 |
+
"loss": 6.605,
|
290 |
+
"step": 470
|
291 |
+
},
|
292 |
+
{
|
293 |
+
"epoch": 0.84,
|
294 |
+
"learning_rate": 0.00023999999999999998,
|
295 |
+
"loss": 6.5657,
|
296 |
+
"step": 480
|
297 |
+
},
|
298 |
+
{
|
299 |
+
"epoch": 0.86,
|
300 |
+
"learning_rate": 0.000245,
|
301 |
+
"loss": 6.6316,
|
302 |
+
"step": 490
|
303 |
+
},
|
304 |
+
{
|
305 |
+
"epoch": 0.87,
|
306 |
+
"learning_rate": 0.00025,
|
307 |
+
"loss": 6.4709,
|
308 |
+
"step": 500
|
309 |
+
},
|
310 |
+
{
|
311 |
+
"epoch": 0.89,
|
312 |
+
"learning_rate": 0.00025499999999999996,
|
313 |
+
"loss": 6.6643,
|
314 |
+
"step": 510
|
315 |
+
},
|
316 |
+
{
|
317 |
+
"epoch": 0.91,
|
318 |
+
"learning_rate": 0.00026,
|
319 |
+
"loss": 6.5056,
|
320 |
+
"step": 520
|
321 |
+
},
|
322 |
+
{
|
323 |
+
"epoch": 0.93,
|
324 |
+
"learning_rate": 0.000265,
|
325 |
+
"loss": 6.5331,
|
326 |
+
"step": 530
|
327 |
+
},
|
328 |
+
{
|
329 |
+
"epoch": 0.94,
|
330 |
+
"learning_rate": 0.00027,
|
331 |
+
"loss": 6.5842,
|
332 |
+
"step": 540
|
333 |
+
},
|
334 |
+
{
|
335 |
+
"epoch": 0.96,
|
336 |
+
"learning_rate": 0.00027499999999999996,
|
337 |
+
"loss": 6.4195,
|
338 |
+
"step": 550
|
339 |
+
},
|
340 |
+
{
|
341 |
+
"epoch": 0.98,
|
342 |
+
"learning_rate": 0.00028,
|
343 |
+
"loss": 6.6377,
|
344 |
+
"step": 560
|
345 |
+
},
|
346 |
+
{
|
347 |
+
"epoch": 1.0,
|
348 |
+
"learning_rate": 0.000285,
|
349 |
+
"loss": 6.4403,
|
350 |
+
"step": 570
|
351 |
+
},
|
352 |
+
{
|
353 |
+
"epoch": 1.01,
|
354 |
+
"learning_rate": 0.00029,
|
355 |
+
"loss": 6.5407,
|
356 |
+
"step": 580
|
357 |
+
},
|
358 |
+
{
|
359 |
+
"epoch": 1.03,
|
360 |
+
"learning_rate": 0.00029499999999999996,
|
361 |
+
"loss": 6.5123,
|
362 |
+
"step": 590
|
363 |
+
},
|
364 |
+
{
|
365 |
+
"epoch": 1.05,
|
366 |
+
"learning_rate": 0.0003,
|
367 |
+
"loss": 6.4086,
|
368 |
+
"step": 600
|
369 |
+
},
|
370 |
+
{
|
371 |
+
"epoch": 1.05,
|
372 |
+
"eval_cer": 1.0,
|
373 |
+
"eval_loss": 6.509830951690674,
|
374 |
+
"eval_runtime": 1134.0889,
|
375 |
+
"eval_samples_per_second": 7.724,
|
376 |
+
"eval_wer": 1.0,
|
377 |
+
"step": 600
|
378 |
+
},
|
379 |
+
{
|
380 |
+
"epoch": 1.07,
|
381 |
+
"learning_rate": 0.00029986535008976655,
|
382 |
+
"loss": 6.5638,
|
383 |
+
"step": 610
|
384 |
+
},
|
385 |
+
{
|
386 |
+
"epoch": 1.08,
|
387 |
+
"learning_rate": 0.0002997307001795332,
|
388 |
+
"loss": 6.4348,
|
389 |
+
"step": 620
|
390 |
+
},
|
391 |
+
{
|
392 |
+
"epoch": 1.1,
|
393 |
+
"learning_rate": 0.0002995960502692998,
|
394 |
+
"loss": 6.5179,
|
395 |
+
"step": 630
|
396 |
+
},
|
397 |
+
{
|
398 |
+
"epoch": 1.12,
|
399 |
+
"learning_rate": 0.0002994614003590664,
|
400 |
+
"loss": 6.4513,
|
401 |
+
"step": 640
|
402 |
+
},
|
403 |
+
{
|
404 |
+
"epoch": 1.14,
|
405 |
+
"learning_rate": 0.000299326750448833,
|
406 |
+
"loss": 6.4153,
|
407 |
+
"step": 650
|
408 |
+
},
|
409 |
+
{
|
410 |
+
"epoch": 1.15,
|
411 |
+
"learning_rate": 0.0002991921005385996,
|
412 |
+
"loss": 6.5478,
|
413 |
+
"step": 660
|
414 |
+
},
|
415 |
+
{
|
416 |
+
"epoch": 1.17,
|
417 |
+
"learning_rate": 0.0002990574506283662,
|
418 |
+
"loss": 6.3301,
|
419 |
+
"step": 670
|
420 |
+
},
|
421 |
+
{
|
422 |
+
"epoch": 1.19,
|
423 |
+
"learning_rate": 0.0002989228007181328,
|
424 |
+
"loss": 6.5422,
|
425 |
+
"step": 680
|
426 |
+
},
|
427 |
+
{
|
428 |
+
"epoch": 1.21,
|
429 |
+
"learning_rate": 0.00029878815080789945,
|
430 |
+
"loss": 6.4761,
|
431 |
+
"step": 690
|
432 |
+
},
|
433 |
+
{
|
434 |
+
"epoch": 1.22,
|
435 |
+
"learning_rate": 0.0002986535008976661,
|
436 |
+
"loss": 6.3739,
|
437 |
+
"step": 700
|
438 |
+
},
|
439 |
+
{
|
440 |
+
"epoch": 1.24,
|
441 |
+
"learning_rate": 0.00029851885098743265,
|
442 |
+
"loss": 6.5702,
|
443 |
+
"step": 710
|
444 |
+
},
|
445 |
+
{
|
446 |
+
"epoch": 1.26,
|
447 |
+
"learning_rate": 0.0002983842010771993,
|
448 |
+
"loss": 6.3541,
|
449 |
+
"step": 720
|
450 |
+
},
|
451 |
+
{
|
452 |
+
"epoch": 1.28,
|
453 |
+
"learning_rate": 0.00029824955116696585,
|
454 |
+
"loss": 6.5389,
|
455 |
+
"step": 730
|
456 |
+
},
|
457 |
+
{
|
458 |
+
"epoch": 1.29,
|
459 |
+
"learning_rate": 0.0002981149012567325,
|
460 |
+
"loss": 6.4416,
|
461 |
+
"step": 740
|
462 |
+
},
|
463 |
+
{
|
464 |
+
"epoch": 1.31,
|
465 |
+
"learning_rate": 0.00029798025134649905,
|
466 |
+
"loss": 6.3941,
|
467 |
+
"step": 750
|
468 |
+
},
|
469 |
+
{
|
470 |
+
"epoch": 1.33,
|
471 |
+
"learning_rate": 0.0002978456014362657,
|
472 |
+
"loss": 6.784,
|
473 |
+
"step": 760
|
474 |
+
},
|
475 |
+
{
|
476 |
+
"epoch": 1.35,
|
477 |
+
"learning_rate": 0.0002977109515260323,
|
478 |
+
"loss": 6.3669,
|
479 |
+
"step": 770
|
480 |
+
},
|
481 |
+
{
|
482 |
+
"epoch": 1.36,
|
483 |
+
"learning_rate": 0.0002975763016157989,
|
484 |
+
"loss": 6.5267,
|
485 |
+
"step": 780
|
486 |
+
},
|
487 |
+
{
|
488 |
+
"epoch": 1.38,
|
489 |
+
"learning_rate": 0.0002974416517055655,
|
490 |
+
"loss": 6.4389,
|
491 |
+
"step": 790
|
492 |
+
},
|
493 |
+
{
|
494 |
+
"epoch": 1.4,
|
495 |
+
"learning_rate": 0.0002973070017953321,
|
496 |
+
"loss": 6.3461,
|
497 |
+
"step": 800
|
498 |
+
},
|
499 |
+
{
|
500 |
+
"epoch": 1.42,
|
501 |
+
"learning_rate": 0.0002971723518850987,
|
502 |
+
"loss": 6.5165,
|
503 |
+
"step": 810
|
504 |
+
},
|
505 |
+
{
|
506 |
+
"epoch": 1.43,
|
507 |
+
"learning_rate": 0.00029703770197486533,
|
508 |
+
"loss": 6.3583,
|
509 |
+
"step": 820
|
510 |
+
},
|
511 |
+
{
|
512 |
+
"epoch": 1.45,
|
513 |
+
"learning_rate": 0.00029690305206463196,
|
514 |
+
"loss": 6.5063,
|
515 |
+
"step": 830
|
516 |
+
},
|
517 |
+
{
|
518 |
+
"epoch": 1.47,
|
519 |
+
"learning_rate": 0.00029676840215439853,
|
520 |
+
"loss": 6.4102,
|
521 |
+
"step": 840
|
522 |
+
},
|
523 |
+
{
|
524 |
+
"epoch": 1.49,
|
525 |
+
"learning_rate": 0.00029663375224416516,
|
526 |
+
"loss": 6.3466,
|
527 |
+
"step": 850
|
528 |
+
},
|
529 |
+
{
|
530 |
+
"epoch": 1.5,
|
531 |
+
"learning_rate": 0.00029649910233393173,
|
532 |
+
"loss": 6.5043,
|
533 |
+
"step": 860
|
534 |
+
},
|
535 |
+
{
|
536 |
+
"epoch": 1.52,
|
537 |
+
"learning_rate": 0.00029636445242369836,
|
538 |
+
"loss": 6.3248,
|
539 |
+
"step": 870
|
540 |
+
},
|
541 |
+
{
|
542 |
+
"epoch": 1.54,
|
543 |
+
"learning_rate": 0.000296229802513465,
|
544 |
+
"loss": 6.4586,
|
545 |
+
"step": 880
|
546 |
+
},
|
547 |
+
{
|
548 |
+
"epoch": 1.56,
|
549 |
+
"learning_rate": 0.00029609515260323155,
|
550 |
+
"loss": 6.4547,
|
551 |
+
"step": 890
|
552 |
+
},
|
553 |
+
{
|
554 |
+
"epoch": 1.57,
|
555 |
+
"learning_rate": 0.0002959605026929982,
|
556 |
+
"loss": 6.3167,
|
557 |
+
"step": 900
|
558 |
+
},
|
559 |
+
{
|
560 |
+
"epoch": 1.59,
|
561 |
+
"learning_rate": 0.00029582585278276475,
|
562 |
+
"loss": 6.4654,
|
563 |
+
"step": 910
|
564 |
+
},
|
565 |
+
{
|
566 |
+
"epoch": 1.61,
|
567 |
+
"learning_rate": 0.0002956912028725314,
|
568 |
+
"loss": 6.2638,
|
569 |
+
"step": 920
|
570 |
+
},
|
571 |
+
{
|
572 |
+
"epoch": 1.63,
|
573 |
+
"learning_rate": 0.000295556552962298,
|
574 |
+
"loss": 6.4081,
|
575 |
+
"step": 930
|
576 |
+
},
|
577 |
+
{
|
578 |
+
"epoch": 1.64,
|
579 |
+
"learning_rate": 0.00029542190305206463,
|
580 |
+
"loss": 6.367,
|
581 |
+
"step": 940
|
582 |
+
},
|
583 |
+
{
|
584 |
+
"epoch": 1.66,
|
585 |
+
"learning_rate": 0.0002952872531418312,
|
586 |
+
"loss": 6.3051,
|
587 |
+
"step": 950
|
588 |
+
},
|
589 |
+
{
|
590 |
+
"epoch": 1.68,
|
591 |
+
"learning_rate": 0.00029515260323159783,
|
592 |
+
"loss": 6.481,
|
593 |
+
"step": 960
|
594 |
+
},
|
595 |
+
{
|
596 |
+
"epoch": 1.7,
|
597 |
+
"learning_rate": 0.0002950179533213644,
|
598 |
+
"loss": 6.2663,
|
599 |
+
"step": 970
|
600 |
+
},
|
601 |
+
{
|
602 |
+
"epoch": 1.71,
|
603 |
+
"learning_rate": 0.00029488330341113103,
|
604 |
+
"loss": 6.4301,
|
605 |
+
"step": 980
|
606 |
+
},
|
607 |
+
{
|
608 |
+
"epoch": 1.73,
|
609 |
+
"learning_rate": 0.00029474865350089766,
|
610 |
+
"loss": 6.2978,
|
611 |
+
"step": 990
|
612 |
+
},
|
613 |
+
{
|
614 |
+
"epoch": 1.75,
|
615 |
+
"learning_rate": 0.0002946140035906643,
|
616 |
+
"loss": 6.2719,
|
617 |
+
"step": 1000
|
618 |
+
},
|
619 |
+
{
|
620 |
+
"epoch": 1.77,
|
621 |
+
"learning_rate": 0.00029447935368043086,
|
622 |
+
"loss": 6.41,
|
623 |
+
"step": 1010
|
624 |
+
},
|
625 |
+
{
|
626 |
+
"epoch": 1.78,
|
627 |
+
"learning_rate": 0.0002943447037701975,
|
628 |
+
"loss": 6.2289,
|
629 |
+
"step": 1020
|
630 |
+
},
|
631 |
+
{
|
632 |
+
"epoch": 1.8,
|
633 |
+
"learning_rate": 0.00029421005385996406,
|
634 |
+
"loss": 6.3948,
|
635 |
+
"step": 1030
|
636 |
+
},
|
637 |
+
{
|
638 |
+
"epoch": 1.82,
|
639 |
+
"learning_rate": 0.0002940754039497307,
|
640 |
+
"loss": 6.3203,
|
641 |
+
"step": 1040
|
642 |
+
},
|
643 |
+
{
|
644 |
+
"epoch": 1.84,
|
645 |
+
"learning_rate": 0.00029394075403949726,
|
646 |
+
"loss": 6.1822,
|
647 |
+
"step": 1050
|
648 |
+
},
|
649 |
+
{
|
650 |
+
"epoch": 1.85,
|
651 |
+
"learning_rate": 0.0002938061041292639,
|
652 |
+
"loss": 6.3675,
|
653 |
+
"step": 1060
|
654 |
+
},
|
655 |
+
{
|
656 |
+
"epoch": 1.87,
|
657 |
+
"learning_rate": 0.0002936714542190305,
|
658 |
+
"loss": 6.2043,
|
659 |
+
"step": 1070
|
660 |
+
},
|
661 |
+
{
|
662 |
+
"epoch": 1.89,
|
663 |
+
"learning_rate": 0.0002935368043087971,
|
664 |
+
"loss": 6.3436,
|
665 |
+
"step": 1080
|
666 |
+
},
|
667 |
+
{
|
668 |
+
"epoch": 1.91,
|
669 |
+
"learning_rate": 0.0002934021543985637,
|
670 |
+
"loss": 6.2709,
|
671 |
+
"step": 1090
|
672 |
+
},
|
673 |
+
{
|
674 |
+
"epoch": 1.92,
|
675 |
+
"learning_rate": 0.0002932675044883303,
|
676 |
+
"loss": 6.171,
|
677 |
+
"step": 1100
|
678 |
+
},
|
679 |
+
{
|
680 |
+
"epoch": 1.94,
|
681 |
+
"learning_rate": 0.0002931328545780969,
|
682 |
+
"loss": 6.296,
|
683 |
+
"step": 1110
|
684 |
+
},
|
685 |
+
{
|
686 |
+
"epoch": 1.96,
|
687 |
+
"learning_rate": 0.00029299820466786354,
|
688 |
+
"loss": 6.1652,
|
689 |
+
"step": 1120
|
690 |
+
},
|
691 |
+
{
|
692 |
+
"epoch": 1.98,
|
693 |
+
"learning_rate": 0.00029286355475763016,
|
694 |
+
"loss": 6.2756,
|
695 |
+
"step": 1130
|
696 |
+
},
|
697 |
+
{
|
698 |
+
"epoch": 1.99,
|
699 |
+
"learning_rate": 0.00029272890484739674,
|
700 |
+
"loss": 6.1802,
|
701 |
+
"step": 1140
|
702 |
+
},
|
703 |
+
{
|
704 |
+
"epoch": 2.01,
|
705 |
+
"learning_rate": 0.00029259425493716336,
|
706 |
+
"loss": 6.1664,
|
707 |
+
"step": 1150
|
708 |
+
},
|
709 |
+
{
|
710 |
+
"epoch": 2.03,
|
711 |
+
"learning_rate": 0.00029245960502692994,
|
712 |
+
"loss": 6.1878,
|
713 |
+
"step": 1160
|
714 |
+
},
|
715 |
+
{
|
716 |
+
"epoch": 2.05,
|
717 |
+
"learning_rate": 0.00029232495511669656,
|
718 |
+
"loss": 5.9369,
|
719 |
+
"step": 1170
|
720 |
+
},
|
721 |
+
{
|
722 |
+
"epoch": 2.06,
|
723 |
+
"learning_rate": 0.0002921903052064632,
|
724 |
+
"loss": 6.1776,
|
725 |
+
"step": 1180
|
726 |
+
},
|
727 |
+
{
|
728 |
+
"epoch": 2.08,
|
729 |
+
"learning_rate": 0.00029205565529622976,
|
730 |
+
"loss": 6.0142,
|
731 |
+
"step": 1190
|
732 |
+
},
|
733 |
+
{
|
734 |
+
"epoch": 2.1,
|
735 |
+
"learning_rate": 0.0002919210053859964,
|
736 |
+
"loss": 6.1265,
|
737 |
+
"step": 1200
|
738 |
+
},
|
739 |
+
{
|
740 |
+
"epoch": 2.1,
|
741 |
+
"eval_cer": 0.9626404073685787,
|
742 |
+
"eval_loss": 5.982735633850098,
|
743 |
+
"eval_runtime": 1169.314,
|
744 |
+
"eval_samples_per_second": 7.492,
|
745 |
+
"eval_wer": 1.0,
|
746 |
+
"step": 1200
|
747 |
+
},
|
748 |
+
{
|
749 |
+
"epoch": 2.12,
|
750 |
+
"learning_rate": 0.00029178635547576296,
|
751 |
+
"loss": 5.9301,
|
752 |
+
"step": 1210
|
753 |
+
},
|
754 |
+
{
|
755 |
+
"epoch": 2.13,
|
756 |
+
"learning_rate": 0.0002916517055655296,
|
757 |
+
"loss": 5.9003,
|
758 |
+
"step": 1220
|
759 |
+
},
|
760 |
+
{
|
761 |
+
"epoch": 2.15,
|
762 |
+
"learning_rate": 0.0002915170556552962,
|
763 |
+
"loss": 5.7485,
|
764 |
+
"step": 1230
|
765 |
+
},
|
766 |
+
{
|
767 |
+
"epoch": 2.17,
|
768 |
+
"learning_rate": 0.00029138240574506284,
|
769 |
+
"loss": 5.6099,
|
770 |
+
"step": 1240
|
771 |
+
},
|
772 |
+
{
|
773 |
+
"epoch": 2.19,
|
774 |
+
"learning_rate": 0.0002912477558348294,
|
775 |
+
"loss": 5.5064,
|
776 |
+
"step": 1250
|
777 |
+
},
|
778 |
+
{
|
779 |
+
"epoch": 2.2,
|
780 |
+
"learning_rate": 0.00029111310592459604,
|
781 |
+
"loss": 5.3511,
|
782 |
+
"step": 1260
|
783 |
+
},
|
784 |
+
{
|
785 |
+
"epoch": 2.22,
|
786 |
+
"learning_rate": 0.0002909784560143626,
|
787 |
+
"loss": 5.1143,
|
788 |
+
"step": 1270
|
789 |
+
},
|
790 |
+
{
|
791 |
+
"epoch": 2.24,
|
792 |
+
"learning_rate": 0.00029084380610412924,
|
793 |
+
"loss": 4.9744,
|
794 |
+
"step": 1280
|
795 |
+
},
|
796 |
+
{
|
797 |
+
"epoch": 2.26,
|
798 |
+
"learning_rate": 0.00029070915619389587,
|
799 |
+
"loss": 4.6601,
|
800 |
+
"step": 1290
|
801 |
+
},
|
802 |
+
{
|
803 |
+
"epoch": 2.27,
|
804 |
+
"learning_rate": 0.00029057450628366244,
|
805 |
+
"loss": 4.3969,
|
806 |
+
"step": 1300
|
807 |
+
},
|
808 |
+
{
|
809 |
+
"epoch": 2.29,
|
810 |
+
"learning_rate": 0.00029043985637342907,
|
811 |
+
"loss": 4.2051,
|
812 |
+
"step": 1310
|
813 |
+
},
|
814 |
+
{
|
815 |
+
"epoch": 2.31,
|
816 |
+
"learning_rate": 0.00029030520646319564,
|
817 |
+
"loss": 4.1824,
|
818 |
+
"step": 1320
|
819 |
+
},
|
820 |
+
{
|
821 |
+
"epoch": 2.33,
|
822 |
+
"learning_rate": 0.00029017055655296227,
|
823 |
+
"loss": 4.0095,
|
824 |
+
"step": 1330
|
825 |
+
},
|
826 |
+
{
|
827 |
+
"epoch": 2.34,
|
828 |
+
"learning_rate": 0.00029003590664272884,
|
829 |
+
"loss": 3.8963,
|
830 |
+
"step": 1340
|
831 |
+
},
|
832 |
+
{
|
833 |
+
"epoch": 2.36,
|
834 |
+
"learning_rate": 0.00028990125673249547,
|
835 |
+
"loss": 3.7867,
|
836 |
+
"step": 1350
|
837 |
+
},
|
838 |
+
{
|
839 |
+
"epoch": 2.38,
|
840 |
+
"learning_rate": 0.0002897666068222621,
|
841 |
+
"loss": 3.7578,
|
842 |
+
"step": 1360
|
843 |
+
},
|
844 |
+
{
|
845 |
+
"epoch": 2.4,
|
846 |
+
"learning_rate": 0.0002896319569120287,
|
847 |
+
"loss": 3.7065,
|
848 |
+
"step": 1370
|
849 |
+
},
|
850 |
+
{
|
851 |
+
"epoch": 2.41,
|
852 |
+
"learning_rate": 0.0002894973070017953,
|
853 |
+
"loss": 3.5965,
|
854 |
+
"step": 1380
|
855 |
+
},
|
856 |
+
{
|
857 |
+
"epoch": 2.43,
|
858 |
+
"learning_rate": 0.0002893626570915619,
|
859 |
+
"loss": 3.5597,
|
860 |
+
"step": 1390
|
861 |
+
},
|
862 |
+
{
|
863 |
+
"epoch": 2.45,
|
864 |
+
"learning_rate": 0.0002892280071813285,
|
865 |
+
"loss": 3.5877,
|
866 |
+
"step": 1400
|
867 |
+
},
|
868 |
+
{
|
869 |
+
"epoch": 2.47,
|
870 |
+
"learning_rate": 0.0002890933572710951,
|
871 |
+
"loss": 3.5316,
|
872 |
+
"step": 1410
|
873 |
+
},
|
874 |
+
{
|
875 |
+
"epoch": 2.48,
|
876 |
+
"learning_rate": 0.00028895870736086175,
|
877 |
+
"loss": 3.5905,
|
878 |
+
"step": 1420
|
879 |
+
},
|
880 |
+
{
|
881 |
+
"epoch": 2.5,
|
882 |
+
"learning_rate": 0.00028882405745062837,
|
883 |
+
"loss": 3.5515,
|
884 |
+
"step": 1430
|
885 |
+
},
|
886 |
+
{
|
887 |
+
"epoch": 2.52,
|
888 |
+
"learning_rate": 0.00028868940754039495,
|
889 |
+
"loss": 3.4082,
|
890 |
+
"step": 1440
|
891 |
+
},
|
892 |
+
{
|
893 |
+
"epoch": 2.53,
|
894 |
+
"learning_rate": 0.00028855475763016157,
|
895 |
+
"loss": 3.5074,
|
896 |
+
"step": 1450
|
897 |
+
},
|
898 |
+
{
|
899 |
+
"epoch": 2.55,
|
900 |
+
"learning_rate": 0.00028842010771992814,
|
901 |
+
"loss": 3.5773,
|
902 |
+
"step": 1460
|
903 |
+
},
|
904 |
+
{
|
905 |
+
"epoch": 2.57,
|
906 |
+
"learning_rate": 0.00028828545780969477,
|
907 |
+
"loss": 3.426,
|
908 |
+
"step": 1470
|
909 |
+
},
|
910 |
+
{
|
911 |
+
"epoch": 2.59,
|
912 |
+
"learning_rate": 0.0002881508078994614,
|
913 |
+
"loss": 3.3261,
|
914 |
+
"step": 1480
|
915 |
+
},
|
916 |
+
{
|
917 |
+
"epoch": 2.6,
|
918 |
+
"learning_rate": 0.00028801615798922797,
|
919 |
+
"loss": 3.3198,
|
920 |
+
"step": 1490
|
921 |
+
},
|
922 |
+
{
|
923 |
+
"epoch": 2.62,
|
924 |
+
"learning_rate": 0.0002878815080789946,
|
925 |
+
"loss": 3.3809,
|
926 |
+
"step": 1500
|
927 |
+
},
|
928 |
+
{
|
929 |
+
"epoch": 2.64,
|
930 |
+
"learning_rate": 0.00028774685816876117,
|
931 |
+
"loss": 3.3378,
|
932 |
+
"step": 1510
|
933 |
+
},
|
934 |
+
{
|
935 |
+
"epoch": 2.66,
|
936 |
+
"learning_rate": 0.0002876122082585278,
|
937 |
+
"loss": 3.2242,
|
938 |
+
"step": 1520
|
939 |
+
},
|
940 |
+
{
|
941 |
+
"epoch": 2.67,
|
942 |
+
"learning_rate": 0.0002874775583482944,
|
943 |
+
"loss": 3.2431,
|
944 |
+
"step": 1530
|
945 |
+
},
|
946 |
+
{
|
947 |
+
"epoch": 2.69,
|
948 |
+
"learning_rate": 0.00028734290843806105,
|
949 |
+
"loss": 3.2502,
|
950 |
+
"step": 1540
|
951 |
+
},
|
952 |
+
{
|
953 |
+
"epoch": 2.71,
|
954 |
+
"learning_rate": 0.0002872082585278276,
|
955 |
+
"loss": 3.2542,
|
956 |
+
"step": 1550
|
957 |
+
},
|
958 |
+
{
|
959 |
+
"epoch": 2.73,
|
960 |
+
"learning_rate": 0.00028707360861759425,
|
961 |
+
"loss": 3.1088,
|
962 |
+
"step": 1560
|
963 |
+
},
|
964 |
+
{
|
965 |
+
"epoch": 2.74,
|
966 |
+
"learning_rate": 0.0002869389587073608,
|
967 |
+
"loss": 3.0092,
|
968 |
+
"step": 1570
|
969 |
+
},
|
970 |
+
{
|
971 |
+
"epoch": 2.76,
|
972 |
+
"learning_rate": 0.00028680430879712745,
|
973 |
+
"loss": 3.0566,
|
974 |
+
"step": 1580
|
975 |
+
},
|
976 |
+
{
|
977 |
+
"epoch": 2.78,
|
978 |
+
"learning_rate": 0.000286669658886894,
|
979 |
+
"loss": 3.0401,
|
980 |
+
"step": 1590
|
981 |
+
},
|
982 |
+
{
|
983 |
+
"epoch": 2.8,
|
984 |
+
"learning_rate": 0.00028653500897666065,
|
985 |
+
"loss": 2.9808,
|
986 |
+
"step": 1600
|
987 |
+
},
|
988 |
+
{
|
989 |
+
"epoch": 2.81,
|
990 |
+
"learning_rate": 0.0002864003590664273,
|
991 |
+
"loss": 3.0996,
|
992 |
+
"step": 1610
|
993 |
+
},
|
994 |
+
{
|
995 |
+
"epoch": 2.83,
|
996 |
+
"learning_rate": 0.00028626570915619385,
|
997 |
+
"loss": 3.0149,
|
998 |
+
"step": 1620
|
999 |
+
},
|
1000 |
+
{
|
1001 |
+
"epoch": 2.85,
|
1002 |
+
"learning_rate": 0.0002861310592459605,
|
1003 |
+
"loss": 3.0153,
|
1004 |
+
"step": 1630
|
1005 |
+
},
|
1006 |
+
{
|
1007 |
+
"epoch": 2.87,
|
1008 |
+
"learning_rate": 0.00028599640933572705,
|
1009 |
+
"loss": 3.0267,
|
1010 |
+
"step": 1640
|
1011 |
+
},
|
1012 |
+
{
|
1013 |
+
"epoch": 2.88,
|
1014 |
+
"learning_rate": 0.0002858617594254937,
|
1015 |
+
"loss": 2.8632,
|
1016 |
+
"step": 1650
|
1017 |
+
},
|
1018 |
+
{
|
1019 |
+
"epoch": 2.9,
|
1020 |
+
"learning_rate": 0.0002857271095152603,
|
1021 |
+
"loss": 2.8897,
|
1022 |
+
"step": 1660
|
1023 |
+
},
|
1024 |
+
{
|
1025 |
+
"epoch": 2.92,
|
1026 |
+
"learning_rate": 0.00028559245960502693,
|
1027 |
+
"loss": 2.8773,
|
1028 |
+
"step": 1670
|
1029 |
+
},
|
1030 |
+
{
|
1031 |
+
"epoch": 2.94,
|
1032 |
+
"learning_rate": 0.0002854578096947935,
|
1033 |
+
"loss": 2.8656,
|
1034 |
+
"step": 1680
|
1035 |
+
},
|
1036 |
+
{
|
1037 |
+
"epoch": 2.95,
|
1038 |
+
"learning_rate": 0.00028532315978456013,
|
1039 |
+
"loss": 2.8248,
|
1040 |
+
"step": 1690
|
1041 |
+
},
|
1042 |
+
{
|
1043 |
+
"epoch": 2.97,
|
1044 |
+
"learning_rate": 0.0002851885098743267,
|
1045 |
+
"loss": 2.9358,
|
1046 |
+
"step": 1700
|
1047 |
+
},
|
1048 |
+
{
|
1049 |
+
"epoch": 2.99,
|
1050 |
+
"learning_rate": 0.0002850538599640933,
|
1051 |
+
"loss": 2.9389,
|
1052 |
+
"step": 1710
|
1053 |
+
},
|
1054 |
+
{
|
1055 |
+
"epoch": 3.01,
|
1056 |
+
"learning_rate": 0.00028491921005385995,
|
1057 |
+
"loss": 2.7758,
|
1058 |
+
"step": 1720
|
1059 |
+
},
|
1060 |
+
{
|
1061 |
+
"epoch": 3.02,
|
1062 |
+
"learning_rate": 0.0002847845601436266,
|
1063 |
+
"loss": 2.8451,
|
1064 |
+
"step": 1730
|
1065 |
+
},
|
1066 |
+
{
|
1067 |
+
"epoch": 3.04,
|
1068 |
+
"learning_rate": 0.00028464991023339315,
|
1069 |
+
"loss": 2.7879,
|
1070 |
+
"step": 1740
|
1071 |
+
},
|
1072 |
+
{
|
1073 |
+
"epoch": 3.06,
|
1074 |
+
"learning_rate": 0.0002845152603231597,
|
1075 |
+
"loss": 2.7708,
|
1076 |
+
"step": 1750
|
1077 |
+
},
|
1078 |
+
{
|
1079 |
+
"epoch": 3.08,
|
1080 |
+
"learning_rate": 0.00028438061041292635,
|
1081 |
+
"loss": 2.7697,
|
1082 |
+
"step": 1760
|
1083 |
+
},
|
1084 |
+
{
|
1085 |
+
"epoch": 3.09,
|
1086 |
+
"learning_rate": 0.000284245960502693,
|
1087 |
+
"loss": 2.6994,
|
1088 |
+
"step": 1770
|
1089 |
+
},
|
1090 |
+
{
|
1091 |
+
"epoch": 3.11,
|
1092 |
+
"learning_rate": 0.0002841113105924596,
|
1093 |
+
"loss": 2.646,
|
1094 |
+
"step": 1780
|
1095 |
+
},
|
1096 |
+
{
|
1097 |
+
"epoch": 3.13,
|
1098 |
+
"learning_rate": 0.0002839766606822262,
|
1099 |
+
"loss": 2.7175,
|
1100 |
+
"step": 1790
|
1101 |
+
},
|
1102 |
+
{
|
1103 |
+
"epoch": 3.15,
|
1104 |
+
"learning_rate": 0.0002838420107719928,
|
1105 |
+
"loss": 2.5818,
|
1106 |
+
"step": 1800
|
1107 |
+
},
|
1108 |
+
{
|
1109 |
+
"epoch": 3.15,
|
1110 |
+
"eval_cer1": 0.5706086897808987,
|
1111 |
+
"eval_cer2": 0.5588515176374077,
|
1112 |
+
"eval_cer3": 0.5401176086246324,
|
1113 |
+
"eval_cer4": 0.5407772304324029,
|
1114 |
+
"eval_cer5": 0.5651804670912951,
|
1115 |
+
"eval_loss": 2.5096516609191895,
|
1116 |
+
"eval_runtime": 1141.0448,
|
1117 |
+
"eval_samples_per_second": 7.677,
|
1118 |
+
"step": 1800
|
1119 |
+
},
|
1120 |
+
{
|
1121 |
+
"epoch": 3.16,
|
1122 |
+
"learning_rate": 0.0002837073608617594,
|
1123 |
+
"loss": 2.7269,
|
1124 |
+
"step": 1810
|
1125 |
+
},
|
1126 |
+
{
|
1127 |
+
"epoch": 3.18,
|
1128 |
+
"learning_rate": 0.000283572710951526,
|
1129 |
+
"loss": 2.8614,
|
1130 |
+
"step": 1820
|
1131 |
+
},
|
1132 |
+
{
|
1133 |
+
"epoch": 3.2,
|
1134 |
+
"learning_rate": 0.00028343806104129263,
|
1135 |
+
"loss": 2.6653,
|
1136 |
+
"step": 1830
|
1137 |
+
},
|
1138 |
+
{
|
1139 |
+
"epoch": 3.22,
|
1140 |
+
"learning_rate": 0.00028330341113105926,
|
1141 |
+
"loss": 2.689,
|
1142 |
+
"step": 1840
|
1143 |
+
},
|
1144 |
+
{
|
1145 |
+
"epoch": 3.23,
|
1146 |
+
"learning_rate": 0.00028316876122082583,
|
1147 |
+
"loss": 2.5852,
|
1148 |
+
"step": 1850
|
1149 |
+
},
|
1150 |
+
{
|
1151 |
+
"epoch": 3.25,
|
1152 |
+
"learning_rate": 0.00028303411131059246,
|
1153 |
+
"loss": 2.6783,
|
1154 |
+
"step": 1860
|
1155 |
+
},
|
1156 |
+
{
|
1157 |
+
"epoch": 3.27,
|
1158 |
+
"learning_rate": 0.00028289946140035903,
|
1159 |
+
"loss": 2.5618,
|
1160 |
+
"step": 1870
|
1161 |
+
},
|
1162 |
+
{
|
1163 |
+
"epoch": 3.29,
|
1164 |
+
"learning_rate": 0.00028276481149012566,
|
1165 |
+
"loss": 2.6193,
|
1166 |
+
"step": 1880
|
1167 |
+
},
|
1168 |
+
{
|
1169 |
+
"epoch": 3.3,
|
1170 |
+
"learning_rate": 0.00028263016157989223,
|
1171 |
+
"loss": 2.5681,
|
1172 |
+
"step": 1890
|
1173 |
+
},
|
1174 |
+
{
|
1175 |
+
"epoch": 3.32,
|
1176 |
+
"learning_rate": 0.00028249551166965886,
|
1177 |
+
"loss": 2.5623,
|
1178 |
+
"step": 1900
|
1179 |
+
},
|
1180 |
+
{
|
1181 |
+
"epoch": 3.32,
|
1182 |
+
"eval_cer1": 0.5584551500624557,
|
1183 |
+
"eval_cer2": 0.5466119770303528,
|
1184 |
+
"eval_cer3": 0.522999019928128,
|
1185 |
+
"eval_cer4": 0.524195885250652,
|
1186 |
+
"eval_cer5": 0.5435244161358811,
|
1187 |
+
"eval_loss": 2.379859447479248,
|
1188 |
+
"eval_runtime": 1137.4958,
|
1189 |
+
"eval_samples_per_second": 7.701,
|
1190 |
+
"step": 1900
|
1191 |
+
},
|
1192 |
+
{
|
1193 |
+
"epoch": 3.34,
|
1194 |
+
"learning_rate": 0.0002823608617594255,
|
1195 |
+
"loss": 2.5353,
|
1196 |
+
"step": 1910
|
1197 |
+
},
|
1198 |
+
{
|
1199 |
+
"epoch": 3.36,
|
1200 |
+
"learning_rate": 0.00028222621184919206,
|
1201 |
+
"loss": 2.5668,
|
1202 |
+
"step": 1920
|
1203 |
+
},
|
1204 |
+
{
|
1205 |
+
"epoch": 3.37,
|
1206 |
+
"learning_rate": 0.0002820915619389587,
|
1207 |
+
"loss": 2.4749,
|
1208 |
+
"step": 1930
|
1209 |
+
},
|
1210 |
+
{
|
1211 |
+
"epoch": 3.39,
|
1212 |
+
"learning_rate": 0.00028195691202872526,
|
1213 |
+
"loss": 2.4638,
|
1214 |
+
"step": 1940
|
1215 |
+
},
|
1216 |
+
{
|
1217 |
+
"epoch": 3.41,
|
1218 |
+
"learning_rate": 0.0002818222621184919,
|
1219 |
+
"loss": 2.53,
|
1220 |
+
"step": 1950
|
1221 |
+
},
|
1222 |
+
{
|
1223 |
+
"epoch": 3.43,
|
1224 |
+
"learning_rate": 0.0002816876122082585,
|
1225 |
+
"loss": 2.3977,
|
1226 |
+
"step": 1960
|
1227 |
+
},
|
1228 |
+
{
|
1229 |
+
"epoch": 3.44,
|
1230 |
+
"learning_rate": 0.00028155296229802514,
|
1231 |
+
"loss": 2.4476,
|
1232 |
+
"step": 1970
|
1233 |
+
},
|
1234 |
+
{
|
1235 |
+
"epoch": 3.46,
|
1236 |
+
"learning_rate": 0.0002814183123877917,
|
1237 |
+
"loss": 2.3519,
|
1238 |
+
"step": 1980
|
1239 |
+
},
|
1240 |
+
{
|
1241 |
+
"epoch": 3.48,
|
1242 |
+
"learning_rate": 0.00028128366247755834,
|
1243 |
+
"loss": 2.3922,
|
1244 |
+
"step": 1990
|
1245 |
+
},
|
1246 |
+
{
|
1247 |
+
"epoch": 3.5,
|
1248 |
+
"learning_rate": 0.0002811490125673249,
|
1249 |
+
"loss": 2.3761,
|
1250 |
+
"step": 2000
|
1251 |
+
},
|
1252 |
+
{
|
1253 |
+
"epoch": 3.51,
|
1254 |
+
"learning_rate": 0.00028101436265709154,
|
1255 |
+
"loss": 2.4301,
|
1256 |
+
"step": 2010
|
1257 |
+
},
|
1258 |
+
{
|
1259 |
+
"epoch": 3.53,
|
1260 |
+
"learning_rate": 0.00028087971274685816,
|
1261 |
+
"loss": 2.5032,
|
1262 |
+
"step": 2020
|
1263 |
+
},
|
1264 |
+
{
|
1265 |
+
"epoch": 3.55,
|
1266 |
+
"learning_rate": 0.00028074506283662473,
|
1267 |
+
"loss": 2.4313,
|
1268 |
+
"step": 2030
|
1269 |
+
},
|
1270 |
+
{
|
1271 |
+
"epoch": 3.57,
|
1272 |
+
"learning_rate": 0.00028061041292639136,
|
1273 |
+
"loss": 2.3814,
|
1274 |
+
"step": 2040
|
1275 |
+
},
|
1276 |
+
{
|
1277 |
+
"epoch": 3.58,
|
1278 |
+
"learning_rate": 0.00028047576301615793,
|
1279 |
+
"loss": 2.4016,
|
1280 |
+
"step": 2050
|
1281 |
+
},
|
1282 |
+
{
|
1283 |
+
"epoch": 3.6,
|
1284 |
+
"learning_rate": 0.00028034111310592456,
|
1285 |
+
"loss": 2.2827,
|
1286 |
+
"step": 2060
|
1287 |
+
},
|
1288 |
+
{
|
1289 |
+
"epoch": 3.62,
|
1290 |
+
"learning_rate": 0.0002802064631956912,
|
1291 |
+
"loss": 2.3379,
|
1292 |
+
"step": 2070
|
1293 |
+
},
|
1294 |
+
{
|
1295 |
+
"epoch": 3.64,
|
1296 |
+
"learning_rate": 0.0002800718132854578,
|
1297 |
+
"loss": 2.3315,
|
1298 |
+
"step": 2080
|
1299 |
+
},
|
1300 |
+
{
|
1301 |
+
"epoch": 3.65,
|
1302 |
+
"learning_rate": 0.0002799371633752244,
|
1303 |
+
"loss": 2.2943,
|
1304 |
+
"step": 2090
|
1305 |
+
},
|
1306 |
+
{
|
1307 |
+
"epoch": 3.67,
|
1308 |
+
"learning_rate": 0.000279802513464991,
|
1309 |
+
"loss": 2.4029,
|
1310 |
+
"step": 2100
|
1311 |
+
},
|
1312 |
+
{
|
1313 |
+
"epoch": 3.69,
|
1314 |
+
"learning_rate": 0.0002796678635547576,
|
1315 |
+
"loss": 2.3145,
|
1316 |
+
"step": 2110
|
1317 |
+
},
|
1318 |
+
{
|
1319 |
+
"epoch": 3.71,
|
1320 |
+
"learning_rate": 0.0002795332136445242,
|
1321 |
+
"loss": 2.2538,
|
1322 |
+
"step": 2120
|
1323 |
+
},
|
1324 |
+
{
|
1325 |
+
"epoch": 3.72,
|
1326 |
+
"learning_rate": 0.00027939856373429084,
|
1327 |
+
"loss": 2.2717,
|
1328 |
+
"step": 2130
|
1329 |
+
},
|
1330 |
+
{
|
1331 |
+
"epoch": 3.74,
|
1332 |
+
"learning_rate": 0.0002792639138240574,
|
1333 |
+
"loss": 2.1891,
|
1334 |
+
"step": 2140
|
1335 |
+
},
|
1336 |
+
{
|
1337 |
+
"epoch": 3.76,
|
1338 |
+
"learning_rate": 0.00027912926391382404,
|
1339 |
+
"loss": 2.2323,
|
1340 |
+
"step": 2150
|
1341 |
+
},
|
1342 |
+
{
|
1343 |
+
"epoch": 3.78,
|
1344 |
+
"learning_rate": 0.00027899461400359067,
|
1345 |
+
"loss": 2.2378,
|
1346 |
+
"step": 2160
|
1347 |
+
},
|
1348 |
+
{
|
1349 |
+
"epoch": 3.79,
|
1350 |
+
"learning_rate": 0.00027885996409335724,
|
1351 |
+
"loss": 2.2133,
|
1352 |
+
"step": 2170
|
1353 |
+
},
|
1354 |
+
{
|
1355 |
+
"epoch": 3.81,
|
1356 |
+
"learning_rate": 0.0002787253141831238,
|
1357 |
+
"loss": 2.1628,
|
1358 |
+
"step": 2180
|
1359 |
+
},
|
1360 |
+
{
|
1361 |
+
"epoch": 3.83,
|
1362 |
+
"learning_rate": 0.00027859066427289044,
|
1363 |
+
"loss": 2.1824,
|
1364 |
+
"step": 2190
|
1365 |
+
},
|
1366 |
+
{
|
1367 |
+
"epoch": 3.85,
|
1368 |
+
"learning_rate": 0.00027845601436265706,
|
1369 |
+
"loss": 2.1867,
|
1370 |
+
"step": 2200
|
1371 |
+
},
|
1372 |
+
{
|
1373 |
+
"epoch": 1.93,
|
1374 |
+
"learning_rate": 0.00028929521276595743,
|
1375 |
+
"loss": 2.1458,
|
1376 |
+
"step": 2210
|
1377 |
+
},
|
1378 |
+
{
|
1379 |
+
"epoch": 1.94,
|
1380 |
+
"learning_rate": 0.00028922872340425527,
|
1381 |
+
"loss": 2.2512,
|
1382 |
+
"step": 2220
|
1383 |
+
},
|
1384 |
+
{
|
1385 |
+
"epoch": 1.95,
|
1386 |
+
"learning_rate": 0.00028916223404255317,
|
1387 |
+
"loss": 2.2017,
|
1388 |
+
"step": 2230
|
1389 |
+
},
|
1390 |
+
{
|
1391 |
+
"epoch": 1.96,
|
1392 |
+
"learning_rate": 0.000289095744680851,
|
1393 |
+
"loss": 2.2122,
|
1394 |
+
"step": 2240
|
1395 |
+
},
|
1396 |
+
{
|
1397 |
+
"epoch": 1.97,
|
1398 |
+
"learning_rate": 0.0002890292553191489,
|
1399 |
+
"loss": 2.2943,
|
1400 |
+
"step": 2250
|
1401 |
+
},
|
1402 |
+
{
|
1403 |
+
"epoch": 1.98,
|
1404 |
+
"learning_rate": 0.00028896276595744675,
|
1405 |
+
"loss": 2.1862,
|
1406 |
+
"step": 2260
|
1407 |
+
},
|
1408 |
+
{
|
1409 |
+
"epoch": 1.99,
|
1410 |
+
"learning_rate": 0.00028889627659574465,
|
1411 |
+
"loss": 2.1958,
|
1412 |
+
"step": 2270
|
1413 |
+
},
|
1414 |
+
{
|
1415 |
+
"epoch": 1.99,
|
1416 |
+
"learning_rate": 0.00028882978723404254,
|
1417 |
+
"loss": 2.1499,
|
1418 |
+
"step": 2280
|
1419 |
+
},
|
1420 |
+
{
|
1421 |
+
"epoch": 2.0,
|
1422 |
+
"learning_rate": 0.0002887632978723404,
|
1423 |
+
"loss": 2.4003,
|
1424 |
+
"step": 2290
|
1425 |
+
},
|
1426 |
+
{
|
1427 |
+
"epoch": 2.01,
|
1428 |
+
"learning_rate": 0.0002886968085106383,
|
1429 |
+
"loss": 2.205,
|
1430 |
+
"step": 2300
|
1431 |
+
},
|
1432 |
+
{
|
1433 |
+
"epoch": 2.02,
|
1434 |
+
"learning_rate": 0.0002886303191489361,
|
1435 |
+
"loss": 2.2114,
|
1436 |
+
"step": 2310
|
1437 |
+
},
|
1438 |
+
{
|
1439 |
+
"epoch": 2.03,
|
1440 |
+
"learning_rate": 0.000288563829787234,
|
1441 |
+
"loss": 2.2381,
|
1442 |
+
"step": 2320
|
1443 |
+
},
|
1444 |
+
{
|
1445 |
+
"epoch": 2.04,
|
1446 |
+
"learning_rate": 0.00028849734042553187,
|
1447 |
+
"loss": 2.0985,
|
1448 |
+
"step": 2330
|
1449 |
+
},
|
1450 |
+
{
|
1451 |
+
"epoch": 2.05,
|
1452 |
+
"learning_rate": 0.00028843085106382976,
|
1453 |
+
"loss": 2.3753,
|
1454 |
+
"step": 2340
|
1455 |
+
},
|
1456 |
+
{
|
1457 |
+
"epoch": 2.06,
|
1458 |
+
"learning_rate": 0.00028836436170212766,
|
1459 |
+
"loss": 2.1873,
|
1460 |
+
"step": 2350
|
1461 |
+
},
|
1462 |
+
{
|
1463 |
+
"epoch": 2.06,
|
1464 |
+
"learning_rate": 0.0002882978723404255,
|
1465 |
+
"loss": 2.2122,
|
1466 |
+
"step": 2360
|
1467 |
+
},
|
1468 |
+
{
|
1469 |
+
"epoch": 2.07,
|
1470 |
+
"learning_rate": 0.0002882313829787234,
|
1471 |
+
"loss": 2.0525,
|
1472 |
+
"step": 2370
|
1473 |
+
},
|
1474 |
+
{
|
1475 |
+
"epoch": 2.08,
|
1476 |
+
"learning_rate": 0.00028816489361702124,
|
1477 |
+
"loss": 2.1569,
|
1478 |
+
"step": 2380
|
1479 |
+
},
|
1480 |
+
{
|
1481 |
+
"epoch": 2.09,
|
1482 |
+
"learning_rate": 0.00028809840425531914,
|
1483 |
+
"loss": 2.2276,
|
1484 |
+
"step": 2390
|
1485 |
+
},
|
1486 |
+
{
|
1487 |
+
"epoch": 2.1,
|
1488 |
+
"learning_rate": 0.000288031914893617,
|
1489 |
+
"loss": 2.0076,
|
1490 |
+
"step": 2400
|
1491 |
+
},
|
1492 |
+
{
|
1493 |
+
"epoch": 2.1,
|
1494 |
+
"eval_cer1": 0.48924749333243306,
|
1495 |
+
"eval_cer2": 0.47238720262510253,
|
1496 |
+
"eval_cer3": 0.4526951976478275,
|
1497 |
+
"eval_cer4": 0.45085160500982,
|
1498 |
+
"eval_cer5": 0.46989384288747343,
|
1499 |
+
"eval_loss": 1.9238340854644775,
|
1500 |
+
"eval_runtime": 1120.0867,
|
1501 |
+
"eval_samples_per_second": 7.821,
|
1502 |
+
"step": 2400
|
1503 |
+
},
|
1504 |
+
{
|
1505 |
+
"epoch": 2.11,
|
1506 |
+
"learning_rate": 0.0002879654255319149,
|
1507 |
+
"loss": 1.9779,
|
1508 |
+
"step": 2410
|
1509 |
+
},
|
1510 |
+
{
|
1511 |
+
"epoch": 2.12,
|
1512 |
+
"learning_rate": 0.0002878989361702127,
|
1513 |
+
"loss": 2.1389,
|
1514 |
+
"step": 2420
|
1515 |
+
},
|
1516 |
+
{
|
1517 |
+
"epoch": 2.13,
|
1518 |
+
"learning_rate": 0.0002878324468085106,
|
1519 |
+
"loss": 2.2141,
|
1520 |
+
"step": 2430
|
1521 |
+
},
|
1522 |
+
{
|
1523 |
+
"epoch": 2.13,
|
1524 |
+
"learning_rate": 0.0002877659574468085,
|
1525 |
+
"loss": 2.251,
|
1526 |
+
"step": 2440
|
1527 |
+
},
|
1528 |
+
{
|
1529 |
+
"epoch": 2.14,
|
1530 |
+
"learning_rate": 0.00028769946808510636,
|
1531 |
+
"loss": 2.2231,
|
1532 |
+
"step": 2450
|
1533 |
+
},
|
1534 |
+
{
|
1535 |
+
"epoch": 2.15,
|
1536 |
+
"learning_rate": 0.00028763297872340426,
|
1537 |
+
"loss": 2.155,
|
1538 |
+
"step": 2460
|
1539 |
+
},
|
1540 |
+
{
|
1541 |
+
"epoch": 2.16,
|
1542 |
+
"learning_rate": 0.0002875664893617021,
|
1543 |
+
"loss": 2.1766,
|
1544 |
+
"step": 2470
|
1545 |
+
},
|
1546 |
+
{
|
1547 |
+
"epoch": 2.17,
|
1548 |
+
"learning_rate": 0.0002875,
|
1549 |
+
"loss": 2.079,
|
1550 |
+
"step": 2480
|
1551 |
+
},
|
1552 |
+
{
|
1553 |
+
"epoch": 2.18,
|
1554 |
+
"learning_rate": 0.00028743351063829784,
|
1555 |
+
"loss": 2.1769,
|
1556 |
+
"step": 2490
|
1557 |
+
},
|
1558 |
+
{
|
1559 |
+
"epoch": 2.19,
|
1560 |
+
"learning_rate": 0.00028736702127659573,
|
1561 |
+
"loss": 2.131,
|
1562 |
+
"step": 2500
|
1563 |
+
},
|
1564 |
+
{
|
1565 |
+
"epoch": 2.2,
|
1566 |
+
"learning_rate": 0.00028730053191489363,
|
1567 |
+
"loss": 2.1497,
|
1568 |
+
"step": 2510
|
1569 |
+
},
|
1570 |
+
{
|
1571 |
+
"epoch": 2.2,
|
1572 |
+
"learning_rate": 0.0002872340425531915,
|
1573 |
+
"loss": 2.1463,
|
1574 |
+
"step": 2520
|
1575 |
+
},
|
1576 |
+
{
|
1577 |
+
"epoch": 2.21,
|
1578 |
+
"learning_rate": 0.00028716755319148937,
|
1579 |
+
"loss": 2.1748,
|
1580 |
+
"step": 2530
|
1581 |
+
},
|
1582 |
+
{
|
1583 |
+
"epoch": 2.22,
|
1584 |
+
"learning_rate": 0.0002871010638297872,
|
1585 |
+
"loss": 2.2521,
|
1586 |
+
"step": 2540
|
1587 |
+
},
|
1588 |
+
{
|
1589 |
+
"epoch": 2.23,
|
1590 |
+
"learning_rate": 0.00028703457446808506,
|
1591 |
+
"loss": 2.0849,
|
1592 |
+
"step": 2550
|
1593 |
+
},
|
1594 |
+
{
|
1595 |
+
"epoch": 2.24,
|
1596 |
+
"learning_rate": 0.00028696808510638295,
|
1597 |
+
"loss": 2.0427,
|
1598 |
+
"step": 2560
|
1599 |
+
},
|
1600 |
+
{
|
1601 |
+
"epoch": 2.25,
|
1602 |
+
"learning_rate": 0.0002869015957446808,
|
1603 |
+
"loss": 2.0855,
|
1604 |
+
"step": 2570
|
1605 |
+
},
|
1606 |
+
{
|
1607 |
+
"epoch": 2.26,
|
1608 |
+
"learning_rate": 0.0002868351063829787,
|
1609 |
+
"loss": 2.0552,
|
1610 |
+
"step": 2580
|
1611 |
+
},
|
1612 |
+
{
|
1613 |
+
"epoch": 2.27,
|
1614 |
+
"learning_rate": 0.00028676861702127654,
|
1615 |
+
"loss": 2.1035,
|
1616 |
+
"step": 2590
|
1617 |
+
},
|
1618 |
+
{
|
1619 |
+
"epoch": 2.27,
|
1620 |
+
"learning_rate": 0.00028670212765957443,
|
1621 |
+
"loss": 2.1035,
|
1622 |
+
"step": 2600
|
1623 |
+
},
|
1624 |
+
{
|
1625 |
+
"epoch": 2.28,
|
1626 |
+
"learning_rate": 0.00028663563829787233,
|
1627 |
+
"loss": 2.1345,
|
1628 |
+
"step": 2610
|
1629 |
+
},
|
1630 |
+
{
|
1631 |
+
"epoch": 2.29,
|
1632 |
+
"learning_rate": 0.0002865691489361702,
|
1633 |
+
"loss": 2.1135,
|
1634 |
+
"step": 2620
|
1635 |
+
},
|
1636 |
+
{
|
1637 |
+
"epoch": 2.3,
|
1638 |
+
"learning_rate": 0.00028650265957446807,
|
1639 |
+
"loss": 2.1364,
|
1640 |
+
"step": 2630
|
1641 |
+
},
|
1642 |
+
{
|
1643 |
+
"epoch": 2.31,
|
1644 |
+
"learning_rate": 0.0002864361702127659,
|
1645 |
+
"loss": 2.3248,
|
1646 |
+
"step": 2640
|
1647 |
+
},
|
1648 |
+
{
|
1649 |
+
"epoch": 2.32,
|
1650 |
+
"learning_rate": 0.0002863696808510638,
|
1651 |
+
"loss": 2.3336,
|
1652 |
+
"step": 2650
|
1653 |
+
},
|
1654 |
+
{
|
1655 |
+
"epoch": 2.33,
|
1656 |
+
"learning_rate": 0.00028630319148936165,
|
1657 |
+
"loss": 2.1158,
|
1658 |
+
"step": 2660
|
1659 |
+
},
|
1660 |
+
{
|
1661 |
+
"epoch": 2.34,
|
1662 |
+
"learning_rate": 0.00028623670212765955,
|
1663 |
+
"loss": 2.1155,
|
1664 |
+
"step": 2670
|
1665 |
+
},
|
1666 |
+
{
|
1667 |
+
"epoch": 2.34,
|
1668 |
+
"learning_rate": 0.0002861702127659574,
|
1669 |
+
"loss": 2.1989,
|
1670 |
+
"step": 2680
|
1671 |
+
},
|
1672 |
+
{
|
1673 |
+
"epoch": 2.35,
|
1674 |
+
"learning_rate": 0.0002861037234042553,
|
1675 |
+
"loss": 2.2268,
|
1676 |
+
"step": 2690
|
1677 |
+
},
|
1678 |
+
{
|
1679 |
+
"epoch": 2.36,
|
1680 |
+
"learning_rate": 0.0002860372340425532,
|
1681 |
+
"loss": 2.0541,
|
1682 |
+
"step": 2700
|
1683 |
+
},
|
1684 |
+
{
|
1685 |
+
"epoch": 2.37,
|
1686 |
+
"learning_rate": 0.00028597074468085103,
|
1687 |
+
"loss": 1.9792,
|
1688 |
+
"step": 2710
|
1689 |
+
},
|
1690 |
+
{
|
1691 |
+
"epoch": 2.38,
|
1692 |
+
"learning_rate": 0.0002859042553191489,
|
1693 |
+
"loss": 2.2246,
|
1694 |
+
"step": 2720
|
1695 |
+
},
|
1696 |
+
{
|
1697 |
+
"epoch": 2.39,
|
1698 |
+
"learning_rate": 0.00028583776595744677,
|
1699 |
+
"loss": 1.9866,
|
1700 |
+
"step": 2730
|
1701 |
+
},
|
1702 |
+
{
|
1703 |
+
"epoch": 2.4,
|
1704 |
+
"learning_rate": 0.00028577127659574467,
|
1705 |
+
"loss": 2.1589,
|
1706 |
+
"step": 2740
|
1707 |
+
},
|
1708 |
+
{
|
1709 |
+
"epoch": 2.41,
|
1710 |
+
"learning_rate": 0.0002857047872340425,
|
1711 |
+
"loss": 2.0232,
|
1712 |
+
"step": 2750
|
1713 |
+
},
|
1714 |
+
{
|
1715 |
+
"epoch": 2.41,
|
1716 |
+
"learning_rate": 0.0002856382978723404,
|
1717 |
+
"loss": 2.0295,
|
1718 |
+
"step": 2760
|
1719 |
+
},
|
1720 |
+
{
|
1721 |
+
"epoch": 2.42,
|
1722 |
+
"learning_rate": 0.0002855718085106383,
|
1723 |
+
"loss": 2.0344,
|
1724 |
+
"step": 2770
|
1725 |
+
},
|
1726 |
+
{
|
1727 |
+
"epoch": 2.43,
|
1728 |
+
"learning_rate": 0.00028550531914893615,
|
1729 |
+
"loss": 2.0738,
|
1730 |
+
"step": 2780
|
1731 |
+
},
|
1732 |
+
{
|
1733 |
+
"epoch": 2.44,
|
1734 |
+
"learning_rate": 0.00028543882978723404,
|
1735 |
+
"loss": 2.2399,
|
1736 |
+
"step": 2790
|
1737 |
+
},
|
1738 |
+
{
|
1739 |
+
"epoch": 2.45,
|
1740 |
+
"learning_rate": 0.0002853723404255319,
|
1741 |
+
"loss": 2.1269,
|
1742 |
+
"step": 2800
|
1743 |
+
},
|
1744 |
+
{
|
1745 |
+
"epoch": 2.46,
|
1746 |
+
"learning_rate": 0.0002853058510638298,
|
1747 |
+
"loss": 2.1242,
|
1748 |
+
"step": 2810
|
1749 |
+
},
|
1750 |
+
{
|
1751 |
+
"epoch": 2.47,
|
1752 |
+
"learning_rate": 0.0002852393617021276,
|
1753 |
+
"loss": 2.1683,
|
1754 |
+
"step": 2820
|
1755 |
+
},
|
1756 |
+
{
|
1757 |
+
"epoch": 2.48,
|
1758 |
+
"learning_rate": 0.0002851728723404255,
|
1759 |
+
"loss": 1.9675,
|
1760 |
+
"step": 2830
|
1761 |
+
},
|
1762 |
+
{
|
1763 |
+
"epoch": 2.48,
|
1764 |
+
"learning_rate": 0.00028510638297872336,
|
1765 |
+
"loss": 2.0978,
|
1766 |
+
"step": 2840
|
1767 |
+
},
|
1768 |
+
{
|
1769 |
+
"epoch": 2.49,
|
1770 |
+
"learning_rate": 0.00028503989361702126,
|
1771 |
+
"loss": 2.1067,
|
1772 |
+
"step": 2850
|
1773 |
+
},
|
1774 |
+
{
|
1775 |
+
"epoch": 2.5,
|
1776 |
+
"learning_rate": 0.00028497340425531916,
|
1777 |
+
"loss": 1.9776,
|
1778 |
+
"step": 2860
|
1779 |
+
},
|
1780 |
+
{
|
1781 |
+
"epoch": 2.51,
|
1782 |
+
"learning_rate": 0.000284906914893617,
|
1783 |
+
"loss": 1.9753,
|
1784 |
+
"step": 2870
|
1785 |
+
},
|
1786 |
+
{
|
1787 |
+
"epoch": 2.52,
|
1788 |
+
"learning_rate": 0.0002848404255319149,
|
1789 |
+
"loss": 2.0909,
|
1790 |
+
"step": 2880
|
1791 |
+
},
|
1792 |
+
{
|
1793 |
+
"epoch": 2.53,
|
1794 |
+
"learning_rate": 0.00028477393617021274,
|
1795 |
+
"loss": 1.9942,
|
1796 |
+
"step": 2890
|
1797 |
+
},
|
1798 |
+
{
|
1799 |
+
"epoch": 2.54,
|
1800 |
+
"learning_rate": 0.0002847074468085106,
|
1801 |
+
"loss": 1.9181,
|
1802 |
+
"step": 2900
|
1803 |
+
},
|
1804 |
+
{
|
1805 |
+
"epoch": 2.55,
|
1806 |
+
"learning_rate": 0.0002846409574468085,
|
1807 |
+
"loss": 2.1184,
|
1808 |
+
"step": 2910
|
1809 |
+
},
|
1810 |
+
{
|
1811 |
+
"epoch": 2.55,
|
1812 |
+
"learning_rate": 0.0002845744680851063,
|
1813 |
+
"loss": 2.0608,
|
1814 |
+
"step": 2920
|
1815 |
+
},
|
1816 |
+
{
|
1817 |
+
"epoch": 2.56,
|
1818 |
+
"learning_rate": 0.0002845079787234042,
|
1819 |
+
"loss": 2.1055,
|
1820 |
+
"step": 2930
|
1821 |
+
},
|
1822 |
+
{
|
1823 |
+
"epoch": 2.57,
|
1824 |
+
"learning_rate": 0.0002844414893617021,
|
1825 |
+
"loss": 2.1383,
|
1826 |
+
"step": 2940
|
1827 |
+
},
|
1828 |
+
{
|
1829 |
+
"epoch": 2.58,
|
1830 |
+
"learning_rate": 0.00028437499999999996,
|
1831 |
+
"loss": 1.97,
|
1832 |
+
"step": 2950
|
1833 |
+
},
|
1834 |
+
{
|
1835 |
+
"epoch": 2.59,
|
1836 |
+
"learning_rate": 0.00028430851063829786,
|
1837 |
+
"loss": 2.0785,
|
1838 |
+
"step": 2960
|
1839 |
+
},
|
1840 |
+
{
|
1841 |
+
"epoch": 2.6,
|
1842 |
+
"learning_rate": 0.0002842420212765957,
|
1843 |
+
"loss": 2.1369,
|
1844 |
+
"step": 2970
|
1845 |
+
},
|
1846 |
+
{
|
1847 |
+
"epoch": 2.61,
|
1848 |
+
"learning_rate": 0.0002841755319148936,
|
1849 |
+
"loss": 2.0299,
|
1850 |
+
"step": 2980
|
1851 |
+
},
|
1852 |
+
{
|
1853 |
+
"epoch": 2.62,
|
1854 |
+
"learning_rate": 0.00028410904255319144,
|
1855 |
+
"loss": 2.0835,
|
1856 |
+
"step": 2990
|
1857 |
+
},
|
1858 |
+
{
|
1859 |
+
"epoch": 2.62,
|
1860 |
+
"learning_rate": 0.00028404255319148934,
|
1861 |
+
"loss": 1.9336,
|
1862 |
+
"step": 3000
|
1863 |
+
},
|
1864 |
+
{
|
1865 |
+
"epoch": 2.62,
|
1866 |
+
"eval_cer1": 0.47790418959521963,
|
1867 |
+
"eval_cer2": 0.46027891714520097,
|
1868 |
+
"eval_cer3": 0.4367200261352499,
|
1869 |
+
"eval_cer4": 0.43565472165877844,
|
1870 |
+
"eval_cer5": 0.4569851380042463,
|
1871 |
+
"eval_loss": 1.8061408996582031,
|
1872 |
+
"eval_runtime": 1152.9636,
|
1873 |
+
"eval_samples_per_second": 7.598,
|
1874 |
+
"step": 3000
|
1875 |
+
},
|
1876 |
+
{
|
1877 |
+
"epoch": 2.63,
|
1878 |
+
"learning_rate": 0.0002839760638297872,
|
1879 |
+
"loss": 1.9459,
|
1880 |
+
"step": 3010
|
1881 |
+
},
|
1882 |
+
{
|
1883 |
+
"epoch": 2.64,
|
1884 |
+
"learning_rate": 0.0002839095744680851,
|
1885 |
+
"loss": 1.8683,
|
1886 |
+
"step": 3020
|
1887 |
+
},
|
1888 |
+
{
|
1889 |
+
"epoch": 2.65,
|
1890 |
+
"learning_rate": 0.000283843085106383,
|
1891 |
+
"loss": 1.8963,
|
1892 |
+
"step": 3030
|
1893 |
+
},
|
1894 |
+
{
|
1895 |
+
"epoch": 2.66,
|
1896 |
+
"learning_rate": 0.0002837765957446808,
|
1897 |
+
"loss": 2.0346,
|
1898 |
+
"step": 3040
|
1899 |
+
},
|
1900 |
+
{
|
1901 |
+
"epoch": 2.67,
|
1902 |
+
"learning_rate": 0.0002837101063829787,
|
1903 |
+
"loss": 2.0598,
|
1904 |
+
"step": 3050
|
1905 |
+
},
|
1906 |
+
{
|
1907 |
+
"epoch": 2.68,
|
1908 |
+
"learning_rate": 0.00028364361702127656,
|
1909 |
+
"loss": 2.1834,
|
1910 |
+
"step": 3060
|
1911 |
+
},
|
1912 |
+
{
|
1913 |
+
"epoch": 2.69,
|
1914 |
+
"learning_rate": 0.00028357712765957445,
|
1915 |
+
"loss": 2.0357,
|
1916 |
+
"step": 3070
|
1917 |
+
},
|
1918 |
+
{
|
1919 |
+
"epoch": 2.69,
|
1920 |
+
"learning_rate": 0.0002835106382978723,
|
1921 |
+
"loss": 2.0925,
|
1922 |
+
"step": 3080
|
1923 |
+
},
|
1924 |
+
{
|
1925 |
+
"epoch": 2.7,
|
1926 |
+
"learning_rate": 0.0002834441489361702,
|
1927 |
+
"loss": 2.2516,
|
1928 |
+
"step": 3090
|
1929 |
+
},
|
1930 |
+
{
|
1931 |
+
"epoch": 2.71,
|
1932 |
+
"learning_rate": 0.0002833776595744681,
|
1933 |
+
"loss": 2.2491,
|
1934 |
+
"step": 3100
|
1935 |
+
},
|
1936 |
+
{
|
1937 |
+
"epoch": 2.72,
|
1938 |
+
"learning_rate": 0.00028331117021276593,
|
1939 |
+
"loss": 2.2018,
|
1940 |
+
"step": 3110
|
1941 |
+
},
|
1942 |
+
{
|
1943 |
+
"epoch": 2.73,
|
1944 |
+
"learning_rate": 0.00028324468085106383,
|
1945 |
+
"loss": 2.1119,
|
1946 |
+
"step": 3120
|
1947 |
+
},
|
1948 |
+
{
|
1949 |
+
"epoch": 2.74,
|
1950 |
+
"learning_rate": 0.00028317819148936167,
|
1951 |
+
"loss": 2.1143,
|
1952 |
+
"step": 3130
|
1953 |
+
},
|
1954 |
+
{
|
1955 |
+
"epoch": 2.75,
|
1956 |
+
"learning_rate": 0.00028311170212765957,
|
1957 |
+
"loss": 2.3422,
|
1958 |
+
"step": 3140
|
1959 |
+
},
|
1960 |
+
{
|
1961 |
+
"epoch": 2.76,
|
1962 |
+
"learning_rate": 0.0002830452127659574,
|
1963 |
+
"loss": 2.1345,
|
1964 |
+
"step": 3150
|
1965 |
+
},
|
1966 |
+
{
|
1967 |
+
"epoch": 2.76,
|
1968 |
+
"learning_rate": 0.0002829787234042553,
|
1969 |
+
"loss": 2.2023,
|
1970 |
+
"step": 3160
|
1971 |
+
},
|
1972 |
+
{
|
1973 |
+
"epoch": 2.77,
|
1974 |
+
"learning_rate": 0.00028291223404255315,
|
1975 |
+
"loss": 2.0969,
|
1976 |
+
"step": 3170
|
1977 |
+
},
|
1978 |
+
{
|
1979 |
+
"epoch": 2.78,
|
1980 |
+
"learning_rate": 0.00028284574468085105,
|
1981 |
+
"loss": 2.1492,
|
1982 |
+
"step": 3180
|
1983 |
+
},
|
1984 |
+
{
|
1985 |
+
"epoch": 2.79,
|
1986 |
+
"learning_rate": 0.00028277925531914894,
|
1987 |
+
"loss": 2.1605,
|
1988 |
+
"step": 3190
|
1989 |
+
},
|
1990 |
+
{
|
1991 |
+
"epoch": 2.8,
|
1992 |
+
"learning_rate": 0.0002827127659574468,
|
1993 |
+
"loss": 2.0944,
|
1994 |
+
"step": 3200
|
1995 |
+
},
|
1996 |
+
{
|
1997 |
+
"epoch": 2.81,
|
1998 |
+
"learning_rate": 0.0002826462765957447,
|
1999 |
+
"loss": 1.9815,
|
2000 |
+
"step": 3210
|
2001 |
+
},
|
2002 |
+
{
|
2003 |
+
"epoch": 2.82,
|
2004 |
+
"learning_rate": 0.00028257978723404253,
|
2005 |
+
"loss": 2.0554,
|
2006 |
+
"step": 3220
|
2007 |
+
},
|
2008 |
+
{
|
2009 |
+
"epoch": 2.83,
|
2010 |
+
"learning_rate": 0.0002825132978723404,
|
2011 |
+
"loss": 2.007,
|
2012 |
+
"step": 3230
|
2013 |
+
},
|
2014 |
+
{
|
2015 |
+
"epoch": 2.83,
|
2016 |
+
"learning_rate": 0.00028244680851063827,
|
2017 |
+
"loss": 2.0277,
|
2018 |
+
"step": 3240
|
2019 |
+
},
|
2020 |
+
{
|
2021 |
+
"epoch": 2.84,
|
2022 |
+
"learning_rate": 0.0002823803191489361,
|
2023 |
+
"loss": 1.9326,
|
2024 |
+
"step": 3250
|
2025 |
+
},
|
2026 |
+
{
|
2027 |
+
"epoch": 2.85,
|
2028 |
+
"learning_rate": 0.000282313829787234,
|
2029 |
+
"loss": 1.8932,
|
2030 |
+
"step": 3260
|
2031 |
+
},
|
2032 |
+
{
|
2033 |
+
"epoch": 2.86,
|
2034 |
+
"learning_rate": 0.00028224734042553185,
|
2035 |
+
"loss": 2.0032,
|
2036 |
+
"step": 3270
|
2037 |
+
},
|
2038 |
+
{
|
2039 |
+
"epoch": 2.87,
|
2040 |
+
"learning_rate": 0.00028218085106382975,
|
2041 |
+
"loss": 2.1045,
|
2042 |
+
"step": 3280
|
2043 |
+
},
|
2044 |
+
{
|
2045 |
+
"epoch": 2.88,
|
2046 |
+
"learning_rate": 0.00028211436170212764,
|
2047 |
+
"loss": 1.976,
|
2048 |
+
"step": 3290
|
2049 |
+
},
|
2050 |
+
{
|
2051 |
+
"epoch": 2.89,
|
2052 |
+
"learning_rate": 0.0002820478723404255,
|
2053 |
+
"loss": 1.8952,
|
2054 |
+
"step": 3300
|
2055 |
+
},
|
2056 |
+
{
|
2057 |
+
"epoch": 2.9,
|
2058 |
+
"learning_rate": 0.0002819813829787234,
|
2059 |
+
"loss": 1.988,
|
2060 |
+
"step": 3310
|
2061 |
+
},
|
2062 |
+
{
|
2063 |
+
"epoch": 2.9,
|
2064 |
+
"learning_rate": 0.0002819148936170212,
|
2065 |
+
"loss": 2.1143,
|
2066 |
+
"step": 3320
|
2067 |
+
},
|
2068 |
+
{
|
2069 |
+
"epoch": 2.91,
|
2070 |
+
"learning_rate": 0.0002818484042553191,
|
2071 |
+
"loss": 1.9619,
|
2072 |
+
"step": 3330
|
2073 |
+
},
|
2074 |
+
{
|
2075 |
+
"epoch": 2.92,
|
2076 |
+
"learning_rate": 0.00028178191489361697,
|
2077 |
+
"loss": 2.0878,
|
2078 |
+
"step": 3340
|
2079 |
+
},
|
2080 |
+
{
|
2081 |
+
"epoch": 2.93,
|
2082 |
+
"learning_rate": 0.00028171542553191486,
|
2083 |
+
"loss": 1.9068,
|
2084 |
+
"step": 3350
|
2085 |
+
},
|
2086 |
+
{
|
2087 |
+
"epoch": 2.94,
|
2088 |
+
"learning_rate": 0.00028164893617021276,
|
2089 |
+
"loss": 2.0037,
|
2090 |
+
"step": 3360
|
2091 |
+
},
|
2092 |
+
{
|
2093 |
+
"epoch": 2.95,
|
2094 |
+
"learning_rate": 0.0002815824468085106,
|
2095 |
+
"loss": 1.9381,
|
2096 |
+
"step": 3370
|
2097 |
+
},
|
2098 |
+
{
|
2099 |
+
"epoch": 2.96,
|
2100 |
+
"learning_rate": 0.0002815159574468085,
|
2101 |
+
"loss": 1.9552,
|
2102 |
+
"step": 3380
|
2103 |
+
},
|
2104 |
+
{
|
2105 |
+
"epoch": 2.97,
|
2106 |
+
"learning_rate": 0.00028144946808510634,
|
2107 |
+
"loss": 1.9375,
|
2108 |
+
"step": 3390
|
2109 |
+
},
|
2110 |
+
{
|
2111 |
+
"epoch": 2.97,
|
2112 |
+
"learning_rate": 0.00028138297872340424,
|
2113 |
+
"loss": 2.0038,
|
2114 |
+
"step": 3400
|
2115 |
+
},
|
2116 |
+
{
|
2117 |
+
"epoch": 2.98,
|
2118 |
+
"learning_rate": 0.0002813164893617021,
|
2119 |
+
"loss": 1.9518,
|
2120 |
+
"step": 3410
|
2121 |
+
},
|
2122 |
+
{
|
2123 |
+
"epoch": 2.99,
|
2124 |
+
"learning_rate": 0.00028125,
|
2125 |
+
"loss": 2.2452,
|
2126 |
+
"step": 3420
|
2127 |
+
},
|
2128 |
+
{
|
2129 |
+
"epoch": 3.0,
|
2130 |
+
"learning_rate": 0.0002811835106382979,
|
2131 |
+
"loss": 2.4543,
|
2132 |
+
"step": 3430
|
2133 |
+
},
|
2134 |
+
{
|
2135 |
+
"epoch": 3.01,
|
2136 |
+
"learning_rate": 0.0002811170212765957,
|
2137 |
+
"loss": 2.0192,
|
2138 |
+
"step": 3440
|
2139 |
+
},
|
2140 |
+
{
|
2141 |
+
"epoch": 3.02,
|
2142 |
+
"learning_rate": 0.0002810505319148936,
|
2143 |
+
"loss": 2.1015,
|
2144 |
+
"step": 3450
|
2145 |
+
},
|
2146 |
+
{
|
2147 |
+
"epoch": 3.03,
|
2148 |
+
"learning_rate": 0.00028098404255319146,
|
2149 |
+
"loss": 1.971,
|
2150 |
+
"step": 3460
|
2151 |
+
},
|
2152 |
+
{
|
2153 |
+
"epoch": 3.04,
|
2154 |
+
"learning_rate": 0.00028091755319148936,
|
2155 |
+
"loss": 1.9138,
|
2156 |
+
"step": 3470
|
2157 |
+
},
|
2158 |
+
{
|
2159 |
+
"epoch": 3.04,
|
2160 |
+
"learning_rate": 0.0002808510638297872,
|
2161 |
+
"loss": 1.938,
|
2162 |
+
"step": 3480
|
2163 |
+
},
|
2164 |
+
{
|
2165 |
+
"epoch": 3.05,
|
2166 |
+
"learning_rate": 0.0002807845744680851,
|
2167 |
+
"loss": 1.9073,
|
2168 |
+
"step": 3490
|
2169 |
+
},
|
2170 |
+
{
|
2171 |
+
"epoch": 3.06,
|
2172 |
+
"learning_rate": 0.00028071808510638294,
|
2173 |
+
"loss": 1.8454,
|
2174 |
+
"step": 3500
|
2175 |
+
},
|
2176 |
+
{
|
2177 |
+
"epoch": 3.07,
|
2178 |
+
"learning_rate": 0.00028065159574468083,
|
2179 |
+
"loss": 1.9872,
|
2180 |
+
"step": 3510
|
2181 |
+
},
|
2182 |
+
{
|
2183 |
+
"epoch": 3.08,
|
2184 |
+
"learning_rate": 0.00028058510638297873,
|
2185 |
+
"loss": 1.8779,
|
2186 |
+
"step": 3520
|
2187 |
+
},
|
2188 |
+
{
|
2189 |
+
"epoch": 3.09,
|
2190 |
+
"learning_rate": 0.0002805186170212766,
|
2191 |
+
"loss": 1.9469,
|
2192 |
+
"step": 3530
|
2193 |
+
},
|
2194 |
+
{
|
2195 |
+
"epoch": 3.1,
|
2196 |
+
"learning_rate": 0.00028045212765957447,
|
2197 |
+
"loss": 2.0581,
|
2198 |
+
"step": 3540
|
2199 |
+
},
|
2200 |
+
{
|
2201 |
+
"epoch": 3.11,
|
2202 |
+
"learning_rate": 0.0002803856382978723,
|
2203 |
+
"loss": 1.8872,
|
2204 |
+
"step": 3550
|
2205 |
+
},
|
2206 |
+
{
|
2207 |
+
"epoch": 3.11,
|
2208 |
+
"learning_rate": 0.0002803191489361702,
|
2209 |
+
"loss": 2.0156,
|
2210 |
+
"step": 3560
|
2211 |
+
},
|
2212 |
+
{
|
2213 |
+
"epoch": 3.12,
|
2214 |
+
"learning_rate": 0.00028025265957446805,
|
2215 |
+
"loss": 2.1001,
|
2216 |
+
"step": 3570
|
2217 |
+
},
|
2218 |
+
{
|
2219 |
+
"epoch": 3.13,
|
2220 |
+
"learning_rate": 0.00028018617021276595,
|
2221 |
+
"loss": 2.1155,
|
2222 |
+
"step": 3580
|
2223 |
+
},
|
2224 |
+
{
|
2225 |
+
"epoch": 3.14,
|
2226 |
+
"learning_rate": 0.00028011968085106385,
|
2227 |
+
"loss": 2.121,
|
2228 |
+
"step": 3590
|
2229 |
+
},
|
2230 |
+
{
|
2231 |
+
"epoch": 3.15,
|
2232 |
+
"learning_rate": 0.00028005319148936164,
|
2233 |
+
"loss": 2.0027,
|
2234 |
+
"step": 3600
|
2235 |
+
},
|
2236 |
+
{
|
2237 |
+
"epoch": 3.15,
|
2238 |
+
"eval_cer1": 0.47597987913979944,
|
2239 |
+
"eval_cer2": 0.45689909762100084,
|
2240 |
+
"eval_cer3": 0.4369160405096374,
|
2241 |
+
"eval_cer4": 0.43597668952638524,
|
2242 |
+
"eval_cer5": 0.4563906581740977,
|
2243 |
+
"eval_loss": 1.800094723701477,
|
2244 |
+
"eval_runtime": 1141.7387,
|
2245 |
+
"eval_samples_per_second": 7.673,
|
2246 |
+
"step": 3600
|
2247 |
+
},
|
2248 |
+
{
|
2249 |
+
"epoch": 3.16,
|
2250 |
+
"learning_rate": 0.00027998670212765953,
|
2251 |
+
"loss": 1.9812,
|
2252 |
+
"step": 3610
|
2253 |
+
},
|
2254 |
+
{
|
2255 |
+
"epoch": 3.17,
|
2256 |
+
"learning_rate": 0.00027992021276595743,
|
2257 |
+
"loss": 2.0124,
|
2258 |
+
"step": 3620
|
2259 |
+
},
|
2260 |
+
{
|
2261 |
+
"epoch": 3.18,
|
2262 |
+
"learning_rate": 0.0002798537234042553,
|
2263 |
+
"loss": 1.9499,
|
2264 |
+
"step": 3630
|
2265 |
+
},
|
2266 |
+
{
|
2267 |
+
"epoch": 3.18,
|
2268 |
+
"learning_rate": 0.00027978723404255317,
|
2269 |
+
"loss": 1.9615,
|
2270 |
+
"step": 3640
|
2271 |
+
},
|
2272 |
+
{
|
2273 |
+
"epoch": 3.19,
|
2274 |
+
"learning_rate": 0.000279720744680851,
|
2275 |
+
"loss": 1.9805,
|
2276 |
+
"step": 3650
|
2277 |
+
},
|
2278 |
+
{
|
2279 |
+
"epoch": 3.2,
|
2280 |
+
"learning_rate": 0.0002796542553191489,
|
2281 |
+
"loss": 1.9327,
|
2282 |
+
"step": 3660
|
2283 |
+
},
|
2284 |
+
{
|
2285 |
+
"epoch": 3.21,
|
2286 |
+
"learning_rate": 0.00027958776595744675,
|
2287 |
+
"loss": 2.004,
|
2288 |
+
"step": 3670
|
2289 |
+
},
|
2290 |
+
{
|
2291 |
+
"epoch": 3.22,
|
2292 |
+
"learning_rate": 0.00027952127659574465,
|
2293 |
+
"loss": 2.0279,
|
2294 |
+
"step": 3680
|
2295 |
+
},
|
2296 |
+
{
|
2297 |
+
"epoch": 3.23,
|
2298 |
+
"learning_rate": 0.00027945478723404255,
|
2299 |
+
"loss": 1.9121,
|
2300 |
+
"step": 3690
|
2301 |
+
},
|
2302 |
+
{
|
2303 |
+
"epoch": 3.24,
|
2304 |
+
"learning_rate": 0.0002793882978723404,
|
2305 |
+
"loss": 1.9119,
|
2306 |
+
"step": 3700
|
2307 |
+
},
|
2308 |
+
{
|
2309 |
+
"epoch": 3.25,
|
2310 |
+
"learning_rate": 0.0002793218085106383,
|
2311 |
+
"loss": 2.0259,
|
2312 |
+
"step": 3710
|
2313 |
+
},
|
2314 |
+
{
|
2315 |
+
"epoch": 3.25,
|
2316 |
+
"learning_rate": 0.00027925531914893613,
|
2317 |
+
"loss": 1.9752,
|
2318 |
+
"step": 3720
|
2319 |
+
},
|
2320 |
+
{
|
2321 |
+
"epoch": 3.26,
|
2322 |
+
"learning_rate": 0.000279188829787234,
|
2323 |
+
"loss": 1.9925,
|
2324 |
+
"step": 3730
|
2325 |
+
},
|
2326 |
+
{
|
2327 |
+
"epoch": 3.27,
|
2328 |
+
"learning_rate": 0.00027912234042553187,
|
2329 |
+
"loss": 1.9936,
|
2330 |
+
"step": 3740
|
2331 |
+
},
|
2332 |
+
{
|
2333 |
+
"epoch": 3.28,
|
2334 |
+
"learning_rate": 0.00027905585106382977,
|
2335 |
+
"loss": 1.8995,
|
2336 |
+
"step": 3750
|
2337 |
+
},
|
2338 |
+
{
|
2339 |
+
"epoch": 3.29,
|
2340 |
+
"learning_rate": 0.0002789893617021276,
|
2341 |
+
"loss": 1.9581,
|
2342 |
+
"step": 3760
|
2343 |
+
},
|
2344 |
+
{
|
2345 |
+
"epoch": 3.3,
|
2346 |
+
"learning_rate": 0.0002789228723404255,
|
2347 |
+
"loss": 1.8888,
|
2348 |
+
"step": 3770
|
2349 |
+
},
|
2350 |
+
{
|
2351 |
+
"epoch": 3.31,
|
2352 |
+
"learning_rate": 0.0002788563829787234,
|
2353 |
+
"loss": 1.9329,
|
2354 |
+
"step": 3780
|
2355 |
+
},
|
2356 |
+
{
|
2357 |
+
"epoch": 3.32,
|
2358 |
+
"learning_rate": 0.00027878989361702124,
|
2359 |
+
"loss": 2.0032,
|
2360 |
+
"step": 3790
|
2361 |
+
},
|
2362 |
+
{
|
2363 |
+
"epoch": 3.32,
|
2364 |
+
"learning_rate": 0.00027872340425531914,
|
2365 |
+
"loss": 1.9863,
|
2366 |
+
"step": 3800
|
2367 |
+
},
|
2368 |
+
{
|
2369 |
+
"epoch": 3.33,
|
2370 |
+
"learning_rate": 0.000278656914893617,
|
2371 |
+
"loss": 1.9392,
|
2372 |
+
"step": 3810
|
2373 |
+
},
|
2374 |
+
{
|
2375 |
+
"epoch": 3.34,
|
2376 |
+
"learning_rate": 0.0002785904255319149,
|
2377 |
+
"loss": 1.8759,
|
2378 |
+
"step": 3820
|
2379 |
+
},
|
2380 |
+
{
|
2381 |
+
"epoch": 3.35,
|
2382 |
+
"learning_rate": 0.0002785239361702127,
|
2383 |
+
"loss": 1.9832,
|
2384 |
+
"step": 3830
|
2385 |
+
},
|
2386 |
+
{
|
2387 |
+
"epoch": 3.36,
|
2388 |
+
"learning_rate": 0.0002784574468085106,
|
2389 |
+
"loss": 1.9111,
|
2390 |
+
"step": 3840
|
2391 |
+
},
|
2392 |
+
{
|
2393 |
+
"epoch": 3.37,
|
2394 |
+
"learning_rate": 0.0002783909574468085,
|
2395 |
+
"loss": 1.9362,
|
2396 |
+
"step": 3850
|
2397 |
+
},
|
2398 |
+
{
|
2399 |
+
"epoch": 3.38,
|
2400 |
+
"learning_rate": 0.00027832446808510636,
|
2401 |
+
"loss": 2.1686,
|
2402 |
+
"step": 3860
|
2403 |
+
},
|
2404 |
+
{
|
2405 |
+
"epoch": 3.39,
|
2406 |
+
"learning_rate": 0.00027825797872340426,
|
2407 |
+
"loss": 1.8924,
|
2408 |
+
"step": 3870
|
2409 |
+
},
|
2410 |
+
{
|
2411 |
+
"epoch": 3.39,
|
2412 |
+
"learning_rate": 0.0002781914893617021,
|
2413 |
+
"loss": 2.0049,
|
2414 |
+
"step": 3880
|
2415 |
+
},
|
2416 |
+
{
|
2417 |
+
"epoch": 3.4,
|
2418 |
+
"learning_rate": 0.000278125,
|
2419 |
+
"loss": 1.871,
|
2420 |
+
"step": 3890
|
2421 |
+
},
|
2422 |
+
{
|
2423 |
+
"epoch": 3.41,
|
2424 |
+
"learning_rate": 0.00027805851063829784,
|
2425 |
+
"loss": 1.7214,
|
2426 |
+
"step": 3900
|
2427 |
+
},
|
2428 |
+
{
|
2429 |
+
"epoch": 3.42,
|
2430 |
+
"learning_rate": 0.00027799202127659574,
|
2431 |
+
"loss": 1.8852,
|
2432 |
+
"step": 3910
|
2433 |
+
},
|
2434 |
+
{
|
2435 |
+
"epoch": 3.43,
|
2436 |
+
"learning_rate": 0.0002779255319148936,
|
2437 |
+
"loss": 1.8057,
|
2438 |
+
"step": 3920
|
2439 |
+
},
|
2440 |
+
{
|
2441 |
+
"epoch": 3.44,
|
2442 |
+
"learning_rate": 0.0002778590425531915,
|
2443 |
+
"loss": 2.0098,
|
2444 |
+
"step": 3930
|
2445 |
+
},
|
2446 |
+
{
|
2447 |
+
"epoch": 3.45,
|
2448 |
+
"learning_rate": 0.0002777925531914894,
|
2449 |
+
"loss": 1.8596,
|
2450 |
+
"step": 3940
|
2451 |
+
},
|
2452 |
+
{
|
2453 |
+
"epoch": 3.46,
|
2454 |
+
"learning_rate": 0.0002777260638297872,
|
2455 |
+
"loss": 1.881,
|
2456 |
+
"step": 3950
|
2457 |
+
},
|
2458 |
+
{
|
2459 |
+
"epoch": 3.46,
|
2460 |
+
"learning_rate": 0.00027765957446808506,
|
2461 |
+
"loss": 2.0048,
|
2462 |
+
"step": 3960
|
2463 |
+
},
|
2464 |
+
{
|
2465 |
+
"epoch": 3.47,
|
2466 |
+
"learning_rate": 0.00027759308510638296,
|
2467 |
+
"loss": 1.9547,
|
2468 |
+
"step": 3970
|
2469 |
+
},
|
2470 |
+
{
|
2471 |
+
"epoch": 3.48,
|
2472 |
+
"learning_rate": 0.0002775265957446808,
|
2473 |
+
"loss": 2.0153,
|
2474 |
+
"step": 3980
|
2475 |
+
},
|
2476 |
+
{
|
2477 |
+
"epoch": 3.49,
|
2478 |
+
"learning_rate": 0.0002774601063829787,
|
2479 |
+
"loss": 1.8253,
|
2480 |
+
"step": 3990
|
2481 |
+
},
|
2482 |
+
{
|
2483 |
+
"epoch": 3.5,
|
2484 |
+
"learning_rate": 0.00027739361702127654,
|
2485 |
+
"loss": 1.9285,
|
2486 |
+
"step": 4000
|
2487 |
+
},
|
2488 |
+
{
|
2489 |
+
"epoch": 3.51,
|
2490 |
+
"learning_rate": 0.00027732712765957444,
|
2491 |
+
"loss": 1.9543,
|
2492 |
+
"step": 4010
|
2493 |
+
},
|
2494 |
+
{
|
2495 |
+
"epoch": 3.52,
|
2496 |
+
"learning_rate": 0.00027726063829787233,
|
2497 |
+
"loss": 1.8083,
|
2498 |
+
"step": 4020
|
2499 |
+
},
|
2500 |
+
{
|
2501 |
+
"epoch": 3.53,
|
2502 |
+
"learning_rate": 0.0002771941489361702,
|
2503 |
+
"loss": 1.8892,
|
2504 |
+
"step": 4030
|
2505 |
+
},
|
2506 |
+
{
|
2507 |
+
"epoch": 3.53,
|
2508 |
+
"learning_rate": 0.00027712765957446807,
|
2509 |
+
"loss": 1.8685,
|
2510 |
+
"step": 4040
|
2511 |
+
},
|
2512 |
+
{
|
2513 |
+
"epoch": 3.54,
|
2514 |
+
"learning_rate": 0.0002770611702127659,
|
2515 |
+
"loss": 1.7633,
|
2516 |
+
"step": 4050
|
2517 |
+
},
|
2518 |
+
{
|
2519 |
+
"epoch": 3.55,
|
2520 |
+
"learning_rate": 0.0002769946808510638,
|
2521 |
+
"loss": 1.801,
|
2522 |
+
"step": 4060
|
2523 |
+
},
|
2524 |
+
{
|
2525 |
+
"epoch": 3.56,
|
2526 |
+
"learning_rate": 0.00027692819148936166,
|
2527 |
+
"loss": 1.8555,
|
2528 |
+
"step": 4070
|
2529 |
+
},
|
2530 |
+
{
|
2531 |
+
"epoch": 3.57,
|
2532 |
+
"learning_rate": 0.00027686170212765955,
|
2533 |
+
"loss": 1.8881,
|
2534 |
+
"step": 4080
|
2535 |
+
},
|
2536 |
+
{
|
2537 |
+
"epoch": 3.58,
|
2538 |
+
"learning_rate": 0.0002767952127659574,
|
2539 |
+
"loss": 1.8753,
|
2540 |
+
"step": 4090
|
2541 |
+
},
|
2542 |
+
{
|
2543 |
+
"epoch": 3.59,
|
2544 |
+
"learning_rate": 0.0002767287234042553,
|
2545 |
+
"loss": 1.8913,
|
2546 |
+
"step": 4100
|
2547 |
+
},
|
2548 |
+
{
|
2549 |
+
"epoch": 3.6,
|
2550 |
+
"learning_rate": 0.0002766622340425532,
|
2551 |
+
"loss": 2.0024,
|
2552 |
+
"step": 4110
|
2553 |
+
},
|
2554 |
+
{
|
2555 |
+
"epoch": 3.6,
|
2556 |
+
"learning_rate": 0.00027659574468085103,
|
2557 |
+
"loss": 2.0692,
|
2558 |
+
"step": 4120
|
2559 |
+
},
|
2560 |
+
{
|
2561 |
+
"epoch": 3.61,
|
2562 |
+
"learning_rate": 0.00027652925531914893,
|
2563 |
+
"loss": 1.9269,
|
2564 |
+
"step": 4130
|
2565 |
+
},
|
2566 |
+
{
|
2567 |
+
"epoch": 3.62,
|
2568 |
+
"learning_rate": 0.00027646276595744677,
|
2569 |
+
"loss": 1.9242,
|
2570 |
+
"step": 4140
|
2571 |
+
},
|
2572 |
+
{
|
2573 |
+
"epoch": 3.63,
|
2574 |
+
"learning_rate": 0.00027639627659574467,
|
2575 |
+
"loss": 1.8783,
|
2576 |
+
"step": 4150
|
2577 |
+
},
|
2578 |
+
{
|
2579 |
+
"epoch": 3.64,
|
2580 |
+
"learning_rate": 0.0002763297872340425,
|
2581 |
+
"loss": 1.7259,
|
2582 |
+
"step": 4160
|
2583 |
+
},
|
2584 |
+
{
|
2585 |
+
"epoch": 3.65,
|
2586 |
+
"learning_rate": 0.0002762632978723404,
|
2587 |
+
"loss": 1.7952,
|
2588 |
+
"step": 4170
|
2589 |
+
},
|
2590 |
+
{
|
2591 |
+
"epoch": 3.66,
|
2592 |
+
"learning_rate": 0.0002761968085106383,
|
2593 |
+
"loss": 1.7268,
|
2594 |
+
"step": 4180
|
2595 |
+
},
|
2596 |
+
{
|
2597 |
+
"epoch": 3.67,
|
2598 |
+
"learning_rate": 0.00027613031914893615,
|
2599 |
+
"loss": 1.804,
|
2600 |
+
"step": 4190
|
2601 |
+
},
|
2602 |
+
{
|
2603 |
+
"epoch": 3.67,
|
2604 |
+
"learning_rate": 0.00027606382978723404,
|
2605 |
+
"loss": 1.7527,
|
2606 |
+
"step": 4200
|
2607 |
+
},
|
2608 |
+
{
|
2609 |
+
"epoch": 3.67,
|
2610 |
+
"eval_cer1": 0.45643293609263696,
|
2611 |
+
"eval_cer2": 0.4330434782608696,
|
2612 |
+
"eval_cer3": 0.41613851682456715,
|
2613 |
+
"eval_cer4": 0.41276280627193407,
|
2614 |
+
"eval_cer5": 0.4343099787685775,
|
2615 |
+
"eval_loss": 1.6673153638839722,
|
2616 |
+
"eval_runtime": 1162.9114,
|
2617 |
+
"eval_samples_per_second": 7.533,
|
2618 |
+
"step": 4200
|
2619 |
+
},
|
2620 |
+
{
|
2621 |
+
"epoch": 3.68,
|
2622 |
+
"learning_rate": 0.0002759973404255319,
|
2623 |
+
"loss": 1.8746,
|
2624 |
+
"step": 4210
|
2625 |
+
},
|
2626 |
+
{
|
2627 |
+
"epoch": 3.69,
|
2628 |
+
"learning_rate": 0.0002759308510638298,
|
2629 |
+
"loss": 1.8192,
|
2630 |
+
"step": 4220
|
2631 |
+
},
|
2632 |
+
{
|
2633 |
+
"epoch": 3.7,
|
2634 |
+
"learning_rate": 0.0002758643617021276,
|
2635 |
+
"loss": 1.9139,
|
2636 |
+
"step": 4230
|
2637 |
+
},
|
2638 |
+
{
|
2639 |
+
"epoch": 3.71,
|
2640 |
+
"learning_rate": 0.0002757978723404255,
|
2641 |
+
"loss": 1.8454,
|
2642 |
+
"step": 4240
|
2643 |
+
},
|
2644 |
+
{
|
2645 |
+
"epoch": 3.72,
|
2646 |
+
"learning_rate": 0.00027573138297872337,
|
2647 |
+
"loss": 1.8008,
|
2648 |
+
"step": 4250
|
2649 |
+
},
|
2650 |
+
{
|
2651 |
+
"epoch": 3.73,
|
2652 |
+
"learning_rate": 0.00027566489361702126,
|
2653 |
+
"loss": 1.8388,
|
2654 |
+
"step": 4260
|
2655 |
+
},
|
2656 |
+
{
|
2657 |
+
"epoch": 3.74,
|
2658 |
+
"learning_rate": 0.00027559840425531916,
|
2659 |
+
"loss": 1.6761,
|
2660 |
+
"step": 4270
|
2661 |
+
},
|
2662 |
+
{
|
2663 |
+
"epoch": 3.74,
|
2664 |
+
"learning_rate": 0.000275531914893617,
|
2665 |
+
"loss": 1.7665,
|
2666 |
+
"step": 4280
|
2667 |
+
},
|
2668 |
+
{
|
2669 |
+
"epoch": 3.75,
|
2670 |
+
"learning_rate": 0.0002754654255319149,
|
2671 |
+
"loss": 1.7748,
|
2672 |
+
"step": 4290
|
2673 |
+
},
|
2674 |
+
{
|
2675 |
+
"epoch": 3.76,
|
2676 |
+
"learning_rate": 0.00027539893617021274,
|
2677 |
+
"loss": 1.7312,
|
2678 |
+
"step": 4300
|
2679 |
+
},
|
2680 |
+
{
|
2681 |
+
"epoch": 3.77,
|
2682 |
+
"learning_rate": 0.0002753324468085106,
|
2683 |
+
"loss": 1.849,
|
2684 |
+
"step": 4310
|
2685 |
+
},
|
2686 |
+
{
|
2687 |
+
"epoch": 3.78,
|
2688 |
+
"learning_rate": 0.0002752659574468085,
|
2689 |
+
"loss": 1.8165,
|
2690 |
+
"step": 4320
|
2691 |
+
},
|
2692 |
+
{
|
2693 |
+
"epoch": 3.79,
|
2694 |
+
"learning_rate": 0.0002751994680851063,
|
2695 |
+
"loss": 1.8257,
|
2696 |
+
"step": 4330
|
2697 |
+
},
|
2698 |
+
{
|
2699 |
+
"epoch": 3.8,
|
2700 |
+
"learning_rate": 0.0002751329787234042,
|
2701 |
+
"loss": 1.7717,
|
2702 |
+
"step": 4340
|
2703 |
+
},
|
2704 |
+
{
|
2705 |
+
"epoch": 3.81,
|
2706 |
+
"learning_rate": 0.00027506648936170207,
|
2707 |
+
"loss": 1.8083,
|
2708 |
+
"step": 4350
|
2709 |
+
},
|
2710 |
+
{
|
2711 |
+
"epoch": 3.81,
|
2712 |
+
"learning_rate": 0.00027499999999999996,
|
2713 |
+
"loss": 1.8256,
|
2714 |
+
"step": 4360
|
2715 |
+
},
|
2716 |
+
{
|
2717 |
+
"epoch": 3.82,
|
2718 |
+
"learning_rate": 0.00027493351063829786,
|
2719 |
+
"loss": 1.716,
|
2720 |
+
"step": 4370
|
2721 |
+
},
|
2722 |
+
{
|
2723 |
+
"epoch": 3.83,
|
2724 |
+
"learning_rate": 0.0002748670212765957,
|
2725 |
+
"loss": 1.8734,
|
2726 |
+
"step": 4380
|
2727 |
+
},
|
2728 |
+
{
|
2729 |
+
"epoch": 3.84,
|
2730 |
+
"learning_rate": 0.0002748005319148936,
|
2731 |
+
"loss": 1.7568,
|
2732 |
+
"step": 4390
|
2733 |
+
},
|
2734 |
+
{
|
2735 |
+
"epoch": 3.85,
|
2736 |
+
"learning_rate": 0.00027473404255319144,
|
2737 |
+
"loss": 1.8443,
|
2738 |
+
"step": 4400
|
2739 |
+
},
|
2740 |
+
{
|
2741 |
+
"epoch": 3.86,
|
2742 |
+
"learning_rate": 0.00027466755319148934,
|
2743 |
+
"loss": 1.8433,
|
2744 |
+
"step": 4410
|
2745 |
+
},
|
2746 |
+
{
|
2747 |
+
"epoch": 3.87,
|
2748 |
+
"learning_rate": 0.0002746010638297872,
|
2749 |
+
"loss": 1.7142,
|
2750 |
+
"step": 4420
|
2751 |
+
},
|
2752 |
+
{
|
2753 |
+
"epoch": 3.88,
|
2754 |
+
"learning_rate": 0.0002745345744680851,
|
2755 |
+
"loss": 1.8259,
|
2756 |
+
"step": 4430
|
2757 |
+
},
|
2758 |
+
{
|
2759 |
+
"epoch": 3.88,
|
2760 |
+
"learning_rate": 0.000274468085106383,
|
2761 |
+
"loss": 1.7237,
|
2762 |
+
"step": 4440
|
2763 |
+
},
|
2764 |
+
{
|
2765 |
+
"epoch": 3.89,
|
2766 |
+
"learning_rate": 0.0002744015957446808,
|
2767 |
+
"loss": 1.7902,
|
2768 |
+
"step": 4450
|
2769 |
+
},
|
2770 |
+
{
|
2771 |
+
"epoch": 3.9,
|
2772 |
+
"learning_rate": 0.0002743351063829787,
|
2773 |
+
"loss": 1.7954,
|
2774 |
+
"step": 4460
|
2775 |
+
},
|
2776 |
+
{
|
2777 |
+
"epoch": 3.91,
|
2778 |
+
"learning_rate": 0.00027426861702127656,
|
2779 |
+
"loss": 1.7452,
|
2780 |
+
"step": 4470
|
2781 |
+
},
|
2782 |
+
{
|
2783 |
+
"epoch": 3.92,
|
2784 |
+
"learning_rate": 0.00027420212765957445,
|
2785 |
+
"loss": 1.7052,
|
2786 |
+
"step": 4480
|
2787 |
+
},
|
2788 |
+
{
|
2789 |
+
"epoch": 3.93,
|
2790 |
+
"learning_rate": 0.0002741356382978723,
|
2791 |
+
"loss": 1.8716,
|
2792 |
+
"step": 4490
|
2793 |
+
},
|
2794 |
+
{
|
2795 |
+
"epoch": 3.94,
|
2796 |
+
"learning_rate": 0.0002740691489361702,
|
2797 |
+
"loss": 1.9407,
|
2798 |
+
"step": 4500
|
2799 |
+
},
|
2800 |
+
{
|
2801 |
+
"epoch": 3.95,
|
2802 |
+
"learning_rate": 0.00027400265957446804,
|
2803 |
+
"loss": 1.7709,
|
2804 |
+
"step": 4510
|
2805 |
+
},
|
2806 |
+
{
|
2807 |
+
"epoch": 3.95,
|
2808 |
+
"learning_rate": 0.00027393617021276593,
|
2809 |
+
"loss": 1.8658,
|
2810 |
+
"step": 4520
|
2811 |
+
},
|
2812 |
+
{
|
2813 |
+
"epoch": 3.96,
|
2814 |
+
"learning_rate": 0.00027386968085106383,
|
2815 |
+
"loss": 1.9818,
|
2816 |
+
"step": 4530
|
2817 |
+
},
|
2818 |
+
{
|
2819 |
+
"epoch": 3.97,
|
2820 |
+
"learning_rate": 0.0002738031914893617,
|
2821 |
+
"loss": 1.8163,
|
2822 |
+
"step": 4540
|
2823 |
+
},
|
2824 |
+
{
|
2825 |
+
"epoch": 3.98,
|
2826 |
+
"learning_rate": 0.00027373670212765957,
|
2827 |
+
"loss": 1.7863,
|
2828 |
+
"step": 4550
|
2829 |
+
},
|
2830 |
+
{
|
2831 |
+
"epoch": 3.99,
|
2832 |
+
"learning_rate": 0.0002736702127659574,
|
2833 |
+
"loss": 1.8471,
|
2834 |
+
"step": 4560
|
2835 |
+
},
|
2836 |
+
{
|
2837 |
+
"epoch": 4.0,
|
2838 |
+
"learning_rate": 0.0002736037234042553,
|
2839 |
+
"loss": 1.8029,
|
2840 |
+
"step": 4570
|
2841 |
+
},
|
2842 |
+
{
|
2843 |
+
"epoch": 4.01,
|
2844 |
+
"learning_rate": 0.00027353723404255315,
|
2845 |
+
"loss": 1.8216,
|
2846 |
+
"step": 4580
|
2847 |
+
},
|
2848 |
+
{
|
2849 |
+
"epoch": 4.02,
|
2850 |
+
"learning_rate": 0.00027347074468085105,
|
2851 |
+
"loss": 1.6946,
|
2852 |
+
"step": 4590
|
2853 |
+
},
|
2854 |
+
{
|
2855 |
+
"epoch": 4.02,
|
2856 |
+
"learning_rate": 0.00027340425531914895,
|
2857 |
+
"loss": 1.8107,
|
2858 |
+
"step": 4600
|
2859 |
+
}
|
2860 |
+
],
|
2861 |
+
"max_steps": 45720,
|
2862 |
+
"num_train_epochs": 40,
|
2863 |
+
"total_flos": 4.155029507216204e+19,
|
2864 |
+
"trial_name": null,
|
2865 |
+
"trial_params": null
|
2866 |
+
}
|
training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:f7cb660bad7eaab24295c54837382ab02f7bb559f317d94386d7d4ff7d839306
|
3 |
+
size 2351
|
vocab.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|