Yurii Paniv
commited on
Commit
•
1743317
1
Parent(s):
d0e54b9
Initial model
Browse files- config.json +79 -0
- optimizer.pt +3 -0
- preprocessor_config.json +9 -0
- pytorch_model.bin +3 -0
- rng_state.pth +3 -0
- scaler.pt +3 -0
- scheduler.pt +3 -0
- trainer_state.json +1501 -0
- training_args.bin +3 -0
- vocab.json +1 -0
config.json
ADDED
@@ -0,0 +1,79 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "facebook/wav2vec2-xls-r-300m",
|
3 |
+
"activation_dropout": 0.0,
|
4 |
+
"apply_spec_augment": true,
|
5 |
+
"architectures": [
|
6 |
+
"Wav2Vec2ForCTC"
|
7 |
+
],
|
8 |
+
"attention_dropout": 0.2,
|
9 |
+
"bos_token_id": 1,
|
10 |
+
"classifier_proj_size": 256,
|
11 |
+
"codevector_dim": 768,
|
12 |
+
"contrastive_logits_temperature": 0.1,
|
13 |
+
"conv_bias": true,
|
14 |
+
"conv_dim": [
|
15 |
+
512,
|
16 |
+
512,
|
17 |
+
512,
|
18 |
+
512,
|
19 |
+
512,
|
20 |
+
512,
|
21 |
+
512
|
22 |
+
],
|
23 |
+
"conv_kernel": [
|
24 |
+
10,
|
25 |
+
3,
|
26 |
+
3,
|
27 |
+
3,
|
28 |
+
3,
|
29 |
+
2,
|
30 |
+
2
|
31 |
+
],
|
32 |
+
"conv_stride": [
|
33 |
+
5,
|
34 |
+
2,
|
35 |
+
2,
|
36 |
+
2,
|
37 |
+
2,
|
38 |
+
2,
|
39 |
+
2
|
40 |
+
],
|
41 |
+
"ctc_loss_reduction": "mean",
|
42 |
+
"ctc_zero_infinity": false,
|
43 |
+
"diversity_loss_weight": 0.1,
|
44 |
+
"do_stable_layer_norm": true,
|
45 |
+
"eos_token_id": 2,
|
46 |
+
"feat_extract_activation": "gelu",
|
47 |
+
"feat_extract_dropout": 0.0,
|
48 |
+
"feat_extract_norm": "layer",
|
49 |
+
"feat_proj_dropout": 0.1,
|
50 |
+
"feat_quantizer_dropout": 0.0,
|
51 |
+
"final_dropout": 0.0,
|
52 |
+
"gradient_checkpointing": false,
|
53 |
+
"hidden_act": "gelu",
|
54 |
+
"hidden_dropout": 0.2,
|
55 |
+
"hidden_size": 1024,
|
56 |
+
"initializer_range": 0.02,
|
57 |
+
"intermediate_size": 4096,
|
58 |
+
"layer_norm_eps": 1e-05,
|
59 |
+
"layerdrop": 0.0,
|
60 |
+
"mask_feature_length": 10,
|
61 |
+
"mask_feature_prob": 0.0,
|
62 |
+
"mask_time_length": 10,
|
63 |
+
"mask_time_prob": 0.05,
|
64 |
+
"model_type": "wav2vec2",
|
65 |
+
"num_attention_heads": 16,
|
66 |
+
"num_codevector_groups": 2,
|
67 |
+
"num_codevectors_per_group": 320,
|
68 |
+
"num_conv_pos_embedding_groups": 16,
|
69 |
+
"num_conv_pos_embeddings": 128,
|
70 |
+
"num_feat_extract_layers": 7,
|
71 |
+
"num_hidden_layers": 24,
|
72 |
+
"num_negatives": 100,
|
73 |
+
"pad_token_id": 36,
|
74 |
+
"proj_codevector_dim": 768,
|
75 |
+
"torch_dtype": "float32",
|
76 |
+
"transformers_version": "4.11.0",
|
77 |
+
"use_weighted_layer_sum": false,
|
78 |
+
"vocab_size": 39
|
79 |
+
}
|
optimizer.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:0fbd68c9108bdd7f2b74d2d6ab60ec454155756c1066837141fb986be18d13b0
|
3 |
+
size 2490378769
|
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": true,
|
8 |
+
"sampling_rate": 16000
|
9 |
+
}
|
pytorch_model.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:44e381719215ff2cd65a2fbf5588b8deeaf4f712e2800f38410d404e2527695f
|
3 |
+
size 1262083569
|
rng_state.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:76eba952d902f592e5dc53b1ace73547fece6bddedfb82abd6d368838cc3983f
|
3 |
+
size 14567
|
scaler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:12ab3ab57bdd4de9271b2ed77c5b527f019219b09da8c0a67492f35863f058ca
|
3 |
+
size 559
|
scheduler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:8cd458f9d8a9355ed82afe3dc4a8877431efaf85b6481a523d12fee5200e931c
|
3 |
+
size 623
|
trainer_state.json
ADDED
@@ -0,0 +1,1501 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": null,
|
3 |
+
"best_model_checkpoint": null,
|
4 |
+
"epoch": 35.73957158962796,
|
5 |
+
"global_step": 39600,
|
6 |
+
"is_hyper_param_search": false,
|
7 |
+
"is_local_process_zero": true,
|
8 |
+
"is_world_process_zero": true,
|
9 |
+
"log_history": [
|
10 |
+
{
|
11 |
+
"epoch": 0.36,
|
12 |
+
"learning_rate": 0.0002388,
|
13 |
+
"loss": 5.1061,
|
14 |
+
"step": 400
|
15 |
+
},
|
16 |
+
{
|
17 |
+
"epoch": 0.36,
|
18 |
+
"eval_loss": 3.2615509033203125,
|
19 |
+
"eval_runtime": 209.4571,
|
20 |
+
"eval_samples_per_second": 18.892,
|
21 |
+
"eval_steps_per_second": 2.363,
|
22 |
+
"eval_wer": 1.0,
|
23 |
+
"step": 400
|
24 |
+
},
|
25 |
+
{
|
26 |
+
"epoch": 0.72,
|
27 |
+
"learning_rate": 0.0002990989719814553,
|
28 |
+
"loss": 1.8298,
|
29 |
+
"step": 800
|
30 |
+
},
|
31 |
+
{
|
32 |
+
"epoch": 0.72,
|
33 |
+
"eval_loss": 0.5897451639175415,
|
34 |
+
"eval_runtime": 208.9676,
|
35 |
+
"eval_samples_per_second": 18.936,
|
36 |
+
"eval_steps_per_second": 2.369,
|
37 |
+
"eval_wer": 0.7382658232272045,
|
38 |
+
"step": 800
|
39 |
+
},
|
40 |
+
{
|
41 |
+
"epoch": 1.08,
|
42 |
+
"learning_rate": 0.0002978895383995162,
|
43 |
+
"loss": 0.7312,
|
44 |
+
"step": 1200
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 1.08,
|
48 |
+
"eval_loss": 0.38931864500045776,
|
49 |
+
"eval_runtime": 205.7748,
|
50 |
+
"eval_samples_per_second": 19.23,
|
51 |
+
"eval_steps_per_second": 2.406,
|
52 |
+
"eval_wer": 0.5565651976374375,
|
53 |
+
"step": 1200
|
54 |
+
},
|
55 |
+
{
|
56 |
+
"epoch": 1.44,
|
57 |
+
"learning_rate": 0.0002966801048175771,
|
58 |
+
"loss": 0.5859,
|
59 |
+
"step": 1600
|
60 |
+
},
|
61 |
+
{
|
62 |
+
"epoch": 1.44,
|
63 |
+
"eval_loss": 0.3028641939163208,
|
64 |
+
"eval_runtime": 210.4962,
|
65 |
+
"eval_samples_per_second": 18.798,
|
66 |
+
"eval_steps_per_second": 2.352,
|
67 |
+
"eval_wer": 0.43102785447174363,
|
68 |
+
"step": 1600
|
69 |
+
},
|
70 |
+
{
|
71 |
+
"epoch": 1.8,
|
72 |
+
"learning_rate": 0.00029547067123563797,
|
73 |
+
"loss": 0.5272,
|
74 |
+
"step": 2000
|
75 |
+
},
|
76 |
+
{
|
77 |
+
"epoch": 1.8,
|
78 |
+
"eval_loss": 0.2646712362766266,
|
79 |
+
"eval_runtime": 208.1951,
|
80 |
+
"eval_samples_per_second": 19.006,
|
81 |
+
"eval_steps_per_second": 2.378,
|
82 |
+
"eval_wer": 0.3874462656834306,
|
83 |
+
"step": 2000
|
84 |
+
},
|
85 |
+
{
|
86 |
+
"epoch": 2.17,
|
87 |
+
"learning_rate": 0.00029426123765369884,
|
88 |
+
"loss": 0.4691,
|
89 |
+
"step": 2400
|
90 |
+
},
|
91 |
+
{
|
92 |
+
"epoch": 2.17,
|
93 |
+
"eval_loss": 0.25143691897392273,
|
94 |
+
"eval_runtime": 208.3951,
|
95 |
+
"eval_samples_per_second": 18.988,
|
96 |
+
"eval_steps_per_second": 2.375,
|
97 |
+
"eval_wer": 0.3728025722573655,
|
98 |
+
"step": 2400
|
99 |
+
},
|
100 |
+
{
|
101 |
+
"epoch": 2.53,
|
102 |
+
"learning_rate": 0.0002930518040717597,
|
103 |
+
"loss": 0.4313,
|
104 |
+
"step": 2800
|
105 |
+
},
|
106 |
+
{
|
107 |
+
"epoch": 2.53,
|
108 |
+
"eval_loss": 0.23935846984386444,
|
109 |
+
"eval_runtime": 208.5439,
|
110 |
+
"eval_samples_per_second": 18.974,
|
111 |
+
"eval_steps_per_second": 2.374,
|
112 |
+
"eval_wer": 0.33872715199384895,
|
113 |
+
"step": 2800
|
114 |
+
},
|
115 |
+
{
|
116 |
+
"epoch": 2.89,
|
117 |
+
"learning_rate": 0.0002918423704898206,
|
118 |
+
"loss": 0.4157,
|
119 |
+
"step": 3200
|
120 |
+
},
|
121 |
+
{
|
122 |
+
"epoch": 2.89,
|
123 |
+
"eval_loss": 0.22154289484024048,
|
124 |
+
"eval_runtime": 207.5705,
|
125 |
+
"eval_samples_per_second": 19.063,
|
126 |
+
"eval_steps_per_second": 2.385,
|
127 |
+
"eval_wer": 0.3165344423863279,
|
128 |
+
"step": 3200
|
129 |
+
},
|
130 |
+
{
|
131 |
+
"epoch": 3.25,
|
132 |
+
"learning_rate": 0.00029063293690788144,
|
133 |
+
"loss": 0.382,
|
134 |
+
"step": 3600
|
135 |
+
},
|
136 |
+
{
|
137 |
+
"epoch": 3.25,
|
138 |
+
"eval_loss": 0.22716625034809113,
|
139 |
+
"eval_runtime": 208.4179,
|
140 |
+
"eval_samples_per_second": 18.986,
|
141 |
+
"eval_steps_per_second": 2.375,
|
142 |
+
"eval_wer": 0.310103798972495,
|
143 |
+
"step": 3600
|
144 |
+
},
|
145 |
+
{
|
146 |
+
"epoch": 3.61,
|
147 |
+
"learning_rate": 0.0002894235033259423,
|
148 |
+
"loss": 0.3636,
|
149 |
+
"step": 4000
|
150 |
+
},
|
151 |
+
{
|
152 |
+
"epoch": 3.61,
|
153 |
+
"eval_loss": 0.21131443977355957,
|
154 |
+
"eval_runtime": 206.1846,
|
155 |
+
"eval_samples_per_second": 19.192,
|
156 |
+
"eval_steps_per_second": 2.401,
|
157 |
+
"eval_wer": 0.30538566385908505,
|
158 |
+
"step": 4000
|
159 |
+
},
|
160 |
+
{
|
161 |
+
"epoch": 3.97,
|
162 |
+
"learning_rate": 0.00028821406974400323,
|
163 |
+
"loss": 0.3665,
|
164 |
+
"step": 4400
|
165 |
+
},
|
166 |
+
{
|
167 |
+
"epoch": 3.97,
|
168 |
+
"eval_loss": 0.21285590529441833,
|
169 |
+
"eval_runtime": 205.9986,
|
170 |
+
"eval_samples_per_second": 19.209,
|
171 |
+
"eval_steps_per_second": 2.403,
|
172 |
+
"eval_wer": 0.2907769195820082,
|
173 |
+
"step": 4400
|
174 |
+
},
|
175 |
+
{
|
176 |
+
"epoch": 4.33,
|
177 |
+
"learning_rate": 0.00028700463616206405,
|
178 |
+
"loss": 0.333,
|
179 |
+
"step": 4800
|
180 |
+
},
|
181 |
+
{
|
182 |
+
"epoch": 4.33,
|
183 |
+
"eval_loss": 0.2077477127313614,
|
184 |
+
"eval_runtime": 208.1768,
|
185 |
+
"eval_samples_per_second": 19.008,
|
186 |
+
"eval_steps_per_second": 2.378,
|
187 |
+
"eval_wer": 0.2788243106280362,
|
188 |
+
"step": 4800
|
189 |
+
},
|
190 |
+
{
|
191 |
+
"epoch": 4.69,
|
192 |
+
"learning_rate": 0.00028579520258012497,
|
193 |
+
"loss": 0.3313,
|
194 |
+
"step": 5200
|
195 |
+
},
|
196 |
+
{
|
197 |
+
"epoch": 4.69,
|
198 |
+
"eval_loss": 0.18993255496025085,
|
199 |
+
"eval_runtime": 205.0681,
|
200 |
+
"eval_samples_per_second": 19.296,
|
201 |
+
"eval_steps_per_second": 2.414,
|
202 |
+
"eval_wer": 0.2659979729493587,
|
203 |
+
"step": 5200
|
204 |
+
},
|
205 |
+
{
|
206 |
+
"epoch": 5.05,
|
207 |
+
"learning_rate": 0.00028458576899818584,
|
208 |
+
"loss": 0.3222,
|
209 |
+
"step": 5600
|
210 |
+
},
|
211 |
+
{
|
212 |
+
"epoch": 5.05,
|
213 |
+
"eval_loss": 0.19064170122146606,
|
214 |
+
"eval_runtime": 205.7167,
|
215 |
+
"eval_samples_per_second": 19.235,
|
216 |
+
"eval_steps_per_second": 2.406,
|
217 |
+
"eval_wer": 0.2542201097403278,
|
218 |
+
"step": 5600
|
219 |
+
},
|
220 |
+
{
|
221 |
+
"epoch": 5.41,
|
222 |
+
"learning_rate": 0.0002833763354162467,
|
223 |
+
"loss": 0.3003,
|
224 |
+
"step": 6000
|
225 |
+
},
|
226 |
+
{
|
227 |
+
"epoch": 5.41,
|
228 |
+
"eval_loss": 0.1921728551387787,
|
229 |
+
"eval_runtime": 204.1327,
|
230 |
+
"eval_samples_per_second": 19.384,
|
231 |
+
"eval_steps_per_second": 2.425,
|
232 |
+
"eval_wer": 0.2612099395379722,
|
233 |
+
"step": 6000
|
234 |
+
},
|
235 |
+
{
|
236 |
+
"epoch": 5.78,
|
237 |
+
"learning_rate": 0.00028216690183430757,
|
238 |
+
"loss": 0.3057,
|
239 |
+
"step": 6400
|
240 |
+
},
|
241 |
+
{
|
242 |
+
"epoch": 5.78,
|
243 |
+
"eval_loss": 0.19207137823104858,
|
244 |
+
"eval_runtime": 205.293,
|
245 |
+
"eval_samples_per_second": 19.275,
|
246 |
+
"eval_steps_per_second": 2.411,
|
247 |
+
"eval_wer": 0.2560724146367036,
|
248 |
+
"step": 6400
|
249 |
+
},
|
250 |
+
{
|
251 |
+
"epoch": 6.14,
|
252 |
+
"learning_rate": 0.0002809604918363233,
|
253 |
+
"loss": 0.297,
|
254 |
+
"step": 6800
|
255 |
+
},
|
256 |
+
{
|
257 |
+
"epoch": 6.14,
|
258 |
+
"eval_loss": 0.1768147200345993,
|
259 |
+
"eval_runtime": 204.3464,
|
260 |
+
"eval_samples_per_second": 19.364,
|
261 |
+
"eval_steps_per_second": 2.422,
|
262 |
+
"eval_wer": 0.24146367035962674,
|
263 |
+
"step": 6800
|
264 |
+
},
|
265 |
+
{
|
266 |
+
"epoch": 6.5,
|
267 |
+
"learning_rate": 0.0002797510582543842,
|
268 |
+
"loss": 0.2834,
|
269 |
+
"step": 7200
|
270 |
+
},
|
271 |
+
{
|
272 |
+
"epoch": 6.5,
|
273 |
+
"eval_loss": 0.18651635944843292,
|
274 |
+
"eval_runtime": 205.3683,
|
275 |
+
"eval_samples_per_second": 19.268,
|
276 |
+
"eval_steps_per_second": 2.41,
|
277 |
+
"eval_wer": 0.24894278824310628,
|
278 |
+
"step": 7200
|
279 |
+
},
|
280 |
+
{
|
281 |
+
"epoch": 6.86,
|
282 |
+
"learning_rate": 0.00027854162467244505,
|
283 |
+
"loss": 0.2787,
|
284 |
+
"step": 7600
|
285 |
+
},
|
286 |
+
{
|
287 |
+
"epoch": 6.86,
|
288 |
+
"eval_loss": 0.18522889912128448,
|
289 |
+
"eval_runtime": 204.2237,
|
290 |
+
"eval_samples_per_second": 19.376,
|
291 |
+
"eval_steps_per_second": 2.424,
|
292 |
+
"eval_wer": 0.24726522909167162,
|
293 |
+
"step": 7600
|
294 |
+
},
|
295 |
+
{
|
296 |
+
"epoch": 7.22,
|
297 |
+
"learning_rate": 0.0002773321910905059,
|
298 |
+
"loss": 0.2678,
|
299 |
+
"step": 8000
|
300 |
+
},
|
301 |
+
{
|
302 |
+
"epoch": 7.22,
|
303 |
+
"eval_loss": 0.1824478805065155,
|
304 |
+
"eval_runtime": 203.4819,
|
305 |
+
"eval_samples_per_second": 19.446,
|
306 |
+
"eval_steps_per_second": 2.433,
|
307 |
+
"eval_wer": 0.23087407821619543,
|
308 |
+
"step": 8000
|
309 |
+
},
|
310 |
+
{
|
311 |
+
"epoch": 7.58,
|
312 |
+
"learning_rate": 0.0002761227575085668,
|
313 |
+
"loss": 0.2665,
|
314 |
+
"step": 8400
|
315 |
+
},
|
316 |
+
{
|
317 |
+
"epoch": 7.58,
|
318 |
+
"eval_loss": 0.17768050730228424,
|
319 |
+
"eval_runtime": 203.7918,
|
320 |
+
"eval_samples_per_second": 19.417,
|
321 |
+
"eval_steps_per_second": 2.429,
|
322 |
+
"eval_wer": 0.2309789256631601,
|
323 |
+
"step": 8400
|
324 |
+
},
|
325 |
+
{
|
326 |
+
"epoch": 7.94,
|
327 |
+
"learning_rate": 0.00027491332392662766,
|
328 |
+
"loss": 0.2722,
|
329 |
+
"step": 8800
|
330 |
+
},
|
331 |
+
{
|
332 |
+
"epoch": 7.94,
|
333 |
+
"eval_loss": 0.17655304074287415,
|
334 |
+
"eval_runtime": 203.4054,
|
335 |
+
"eval_samples_per_second": 19.454,
|
336 |
+
"eval_steps_per_second": 2.434,
|
337 |
+
"eval_wer": 0.23216719672875966,
|
338 |
+
"step": 8800
|
339 |
+
},
|
340 |
+
{
|
341 |
+
"epoch": 8.3,
|
342 |
+
"learning_rate": 0.0002737038903446885,
|
343 |
+
"loss": 0.2549,
|
344 |
+
"step": 9200
|
345 |
+
},
|
346 |
+
{
|
347 |
+
"epoch": 8.3,
|
348 |
+
"eval_loss": 0.18208913505077362,
|
349 |
+
"eval_runtime": 203.5406,
|
350 |
+
"eval_samples_per_second": 19.441,
|
351 |
+
"eval_steps_per_second": 2.432,
|
352 |
+
"eval_wer": 0.23590675567049943,
|
353 |
+
"step": 9200
|
354 |
+
},
|
355 |
+
{
|
356 |
+
"epoch": 8.66,
|
357 |
+
"learning_rate": 0.00027249748034670427,
|
358 |
+
"loss": 0.2535,
|
359 |
+
"step": 9600
|
360 |
+
},
|
361 |
+
{
|
362 |
+
"epoch": 8.66,
|
363 |
+
"eval_loss": 0.17272169888019562,
|
364 |
+
"eval_runtime": 204.5912,
|
365 |
+
"eval_samples_per_second": 19.341,
|
366 |
+
"eval_steps_per_second": 2.419,
|
367 |
+
"eval_wer": 0.22619089225177366,
|
368 |
+
"step": 9600
|
369 |
+
},
|
370 |
+
{
|
371 |
+
"epoch": 9.03,
|
372 |
+
"learning_rate": 0.00027128804676476514,
|
373 |
+
"loss": 0.2508,
|
374 |
+
"step": 10000
|
375 |
+
},
|
376 |
+
{
|
377 |
+
"epoch": 9.03,
|
378 |
+
"eval_loss": 0.17887552082538605,
|
379 |
+
"eval_runtime": 202.6986,
|
380 |
+
"eval_samples_per_second": 19.522,
|
381 |
+
"eval_steps_per_second": 2.442,
|
382 |
+
"eval_wer": 0.22301051969384544,
|
383 |
+
"step": 10000
|
384 |
+
},
|
385 |
+
{
|
386 |
+
"epoch": 9.39,
|
387 |
+
"learning_rate": 0.000270078613182826,
|
388 |
+
"loss": 0.2354,
|
389 |
+
"step": 10400
|
390 |
+
},
|
391 |
+
{
|
392 |
+
"epoch": 9.39,
|
393 |
+
"eval_loss": 0.17052198946475983,
|
394 |
+
"eval_runtime": 202.2989,
|
395 |
+
"eval_samples_per_second": 19.56,
|
396 |
+
"eval_steps_per_second": 2.447,
|
397 |
+
"eval_wer": 0.2227658756509279,
|
398 |
+
"step": 10400
|
399 |
+
},
|
400 |
+
{
|
401 |
+
"epoch": 9.75,
|
402 |
+
"learning_rate": 0.0002688691796008869,
|
403 |
+
"loss": 0.2449,
|
404 |
+
"step": 10800
|
405 |
+
},
|
406 |
+
{
|
407 |
+
"epoch": 9.75,
|
408 |
+
"eval_loss": 0.17250895500183105,
|
409 |
+
"eval_runtime": 202.4538,
|
410 |
+
"eval_samples_per_second": 19.545,
|
411 |
+
"eval_steps_per_second": 2.445,
|
412 |
+
"eval_wer": 0.2203893335197288,
|
413 |
+
"step": 10800
|
414 |
+
},
|
415 |
+
{
|
416 |
+
"epoch": 10.11,
|
417 |
+
"learning_rate": 0.0002676597460189478,
|
418 |
+
"loss": 0.2461,
|
419 |
+
"step": 11200
|
420 |
+
},
|
421 |
+
{
|
422 |
+
"epoch": 10.11,
|
423 |
+
"eval_loss": 0.18136142194271088,
|
424 |
+
"eval_runtime": 202.9746,
|
425 |
+
"eval_samples_per_second": 19.495,
|
426 |
+
"eval_steps_per_second": 2.439,
|
427 |
+
"eval_wer": 0.23083912906720722,
|
428 |
+
"step": 11200
|
429 |
+
},
|
430 |
+
{
|
431 |
+
"epoch": 10.47,
|
432 |
+
"learning_rate": 0.0002664533360209635,
|
433 |
+
"loss": 0.2354,
|
434 |
+
"step": 11600
|
435 |
+
},
|
436 |
+
{
|
437 |
+
"epoch": 10.47,
|
438 |
+
"eval_loss": 0.17660640180110931,
|
439 |
+
"eval_runtime": 202.5754,
|
440 |
+
"eval_samples_per_second": 19.533,
|
441 |
+
"eval_steps_per_second": 2.444,
|
442 |
+
"eval_wer": 0.21902631670918812,
|
443 |
+
"step": 11600
|
444 |
+
},
|
445 |
+
{
|
446 |
+
"epoch": 10.83,
|
447 |
+
"learning_rate": 0.00026524390243902435,
|
448 |
+
"loss": 0.2271,
|
449 |
+
"step": 12000
|
450 |
+
},
|
451 |
+
{
|
452 |
+
"epoch": 10.83,
|
453 |
+
"eval_loss": 0.16712866723537445,
|
454 |
+
"eval_runtime": 204.6252,
|
455 |
+
"eval_samples_per_second": 19.338,
|
456 |
+
"eval_steps_per_second": 2.419,
|
457 |
+
"eval_wer": 0.22643553629469124,
|
458 |
+
"step": 12000
|
459 |
+
},
|
460 |
+
{
|
461 |
+
"epoch": 11.19,
|
462 |
+
"learning_rate": 0.0002640344688570853,
|
463 |
+
"loss": 0.2262,
|
464 |
+
"step": 12400
|
465 |
+
},
|
466 |
+
{
|
467 |
+
"epoch": 11.19,
|
468 |
+
"eval_loss": 0.16640537977218628,
|
469 |
+
"eval_runtime": 205.9457,
|
470 |
+
"eval_samples_per_second": 19.214,
|
471 |
+
"eval_steps_per_second": 2.404,
|
472 |
+
"eval_wer": 0.2237444518225981,
|
473 |
+
"step": 12400
|
474 |
+
},
|
475 |
+
{
|
476 |
+
"epoch": 11.55,
|
477 |
+
"learning_rate": 0.0002628250352751461,
|
478 |
+
"loss": 0.222,
|
479 |
+
"step": 12800
|
480 |
+
},
|
481 |
+
{
|
482 |
+
"epoch": 11.55,
|
483 |
+
"eval_loss": 0.16319511830806732,
|
484 |
+
"eval_runtime": 203.9378,
|
485 |
+
"eval_samples_per_second": 19.403,
|
486 |
+
"eval_steps_per_second": 2.427,
|
487 |
+
"eval_wer": 0.20773774158599237,
|
488 |
+
"step": 12800
|
489 |
+
},
|
490 |
+
{
|
491 |
+
"epoch": 11.91,
|
492 |
+
"learning_rate": 0.000261615601693207,
|
493 |
+
"loss": 0.2254,
|
494 |
+
"step": 13200
|
495 |
+
},
|
496 |
+
{
|
497 |
+
"epoch": 11.91,
|
498 |
+
"eval_loss": 0.16412602365016937,
|
499 |
+
"eval_runtime": 203.9337,
|
500 |
+
"eval_samples_per_second": 19.403,
|
501 |
+
"eval_steps_per_second": 2.427,
|
502 |
+
"eval_wer": 0.21906126585817634,
|
503 |
+
"step": 13200
|
504 |
+
},
|
505 |
+
{
|
506 |
+
"epoch": 12.27,
|
507 |
+
"learning_rate": 0.0002604061681112679,
|
508 |
+
"loss": 0.2198,
|
509 |
+
"step": 13600
|
510 |
+
},
|
511 |
+
{
|
512 |
+
"epoch": 12.27,
|
513 |
+
"eval_loss": 0.16197219491004944,
|
514 |
+
"eval_runtime": 202.2546,
|
515 |
+
"eval_samples_per_second": 19.564,
|
516 |
+
"eval_steps_per_second": 2.447,
|
517 |
+
"eval_wer": 0.2122112326564848,
|
518 |
+
"step": 13600
|
519 |
+
},
|
520 |
+
{
|
521 |
+
"epoch": 12.63,
|
522 |
+
"learning_rate": 0.00025919673452932875,
|
523 |
+
"loss": 0.2167,
|
524 |
+
"step": 14000
|
525 |
+
},
|
526 |
+
{
|
527 |
+
"epoch": 12.63,
|
528 |
+
"eval_loss": 0.15757694840431213,
|
529 |
+
"eval_runtime": 202.2278,
|
530 |
+
"eval_samples_per_second": 19.567,
|
531 |
+
"eval_steps_per_second": 2.448,
|
532 |
+
"eval_wer": 0.2082270296718275,
|
533 |
+
"step": 14000
|
534 |
+
},
|
535 |
+
{
|
536 |
+
"epoch": 13.0,
|
537 |
+
"learning_rate": 0.0002579903245313445,
|
538 |
+
"loss": 0.2138,
|
539 |
+
"step": 14400
|
540 |
+
},
|
541 |
+
{
|
542 |
+
"epoch": 13.0,
|
543 |
+
"eval_loss": 0.16401419043540955,
|
544 |
+
"eval_runtime": 202.7059,
|
545 |
+
"eval_samples_per_second": 19.521,
|
546 |
+
"eval_steps_per_second": 2.442,
|
547 |
+
"eval_wer": 0.2156711984063188,
|
548 |
+
"step": 14400
|
549 |
+
},
|
550 |
+
{
|
551 |
+
"epoch": 13.36,
|
552 |
+
"learning_rate": 0.0002567808909494053,
|
553 |
+
"loss": 0.2112,
|
554 |
+
"step": 14800
|
555 |
+
},
|
556 |
+
{
|
557 |
+
"epoch": 13.36,
|
558 |
+
"eval_loss": 0.17054887115955353,
|
559 |
+
"eval_runtime": 203.4699,
|
560 |
+
"eval_samples_per_second": 19.448,
|
561 |
+
"eval_steps_per_second": 2.433,
|
562 |
+
"eval_wer": 0.21696431691888302,
|
563 |
+
"step": 14800
|
564 |
+
},
|
565 |
+
{
|
566 |
+
"epoch": 13.72,
|
567 |
+
"learning_rate": 0.00025557145736746623,
|
568 |
+
"loss": 0.2038,
|
569 |
+
"step": 15200
|
570 |
+
},
|
571 |
+
{
|
572 |
+
"epoch": 13.72,
|
573 |
+
"eval_loss": 0.1620979905128479,
|
574 |
+
"eval_runtime": 203.3439,
|
575 |
+
"eval_samples_per_second": 19.46,
|
576 |
+
"eval_steps_per_second": 2.434,
|
577 |
+
"eval_wer": 0.2075979449900395,
|
578 |
+
"step": 15200
|
579 |
+
},
|
580 |
+
{
|
581 |
+
"epoch": 14.08,
|
582 |
+
"learning_rate": 0.0002543620237855271,
|
583 |
+
"loss": 0.2101,
|
584 |
+
"step": 15600
|
585 |
+
},
|
586 |
+
{
|
587 |
+
"epoch": 14.08,
|
588 |
+
"eval_loss": 0.16726231575012207,
|
589 |
+
"eval_runtime": 203.5727,
|
590 |
+
"eval_samples_per_second": 19.438,
|
591 |
+
"eval_steps_per_second": 2.432,
|
592 |
+
"eval_wer": 0.19962953902072483,
|
593 |
+
"step": 15600
|
594 |
+
},
|
595 |
+
{
|
596 |
+
"epoch": 14.44,
|
597 |
+
"learning_rate": 0.00025315259020358797,
|
598 |
+
"loss": 0.2013,
|
599 |
+
"step": 16000
|
600 |
+
},
|
601 |
+
{
|
602 |
+
"epoch": 14.44,
|
603 |
+
"eval_loss": 0.16415779292583466,
|
604 |
+
"eval_runtime": 202.8281,
|
605 |
+
"eval_samples_per_second": 19.509,
|
606 |
+
"eval_steps_per_second": 2.44,
|
607 |
+
"eval_wer": 0.20885611435361548,
|
608 |
+
"step": 16000
|
609 |
+
},
|
610 |
+
{
|
611 |
+
"epoch": 14.8,
|
612 |
+
"learning_rate": 0.00025194315662164883,
|
613 |
+
"loss": 0.21,
|
614 |
+
"step": 16400
|
615 |
+
},
|
616 |
+
{
|
617 |
+
"epoch": 14.8,
|
618 |
+
"eval_loss": 0.1616578996181488,
|
619 |
+
"eval_runtime": 203.1464,
|
620 |
+
"eval_samples_per_second": 19.479,
|
621 |
+
"eval_steps_per_second": 2.437,
|
622 |
+
"eval_wer": 0.2186768252193059,
|
623 |
+
"step": 16400
|
624 |
+
},
|
625 |
+
{
|
626 |
+
"epoch": 15.16,
|
627 |
+
"learning_rate": 0.0002507337230397097,
|
628 |
+
"loss": 0.2002,
|
629 |
+
"step": 16800
|
630 |
+
},
|
631 |
+
{
|
632 |
+
"epoch": 15.16,
|
633 |
+
"eval_loss": 0.1627209484577179,
|
634 |
+
"eval_runtime": 202.7336,
|
635 |
+
"eval_samples_per_second": 19.518,
|
636 |
+
"eval_steps_per_second": 2.442,
|
637 |
+
"eval_wer": 0.21839723202740013,
|
638 |
+
"step": 16800
|
639 |
+
},
|
640 |
+
{
|
641 |
+
"epoch": 15.52,
|
642 |
+
"learning_rate": 0.00024952428945777057,
|
643 |
+
"loss": 0.2007,
|
644 |
+
"step": 17200
|
645 |
+
},
|
646 |
+
{
|
647 |
+
"epoch": 15.52,
|
648 |
+
"eval_loss": 0.1601659506559372,
|
649 |
+
"eval_runtime": 202.199,
|
650 |
+
"eval_samples_per_second": 19.57,
|
651 |
+
"eval_steps_per_second": 2.448,
|
652 |
+
"eval_wer": 0.20924055499248592,
|
653 |
+
"step": 17200
|
654 |
+
},
|
655 |
+
{
|
656 |
+
"epoch": 15.88,
|
657 |
+
"learning_rate": 0.0002483178794597863,
|
658 |
+
"loss": 0.2042,
|
659 |
+
"step": 17600
|
660 |
+
},
|
661 |
+
{
|
662 |
+
"epoch": 15.88,
|
663 |
+
"eval_loss": 0.15520912408828735,
|
664 |
+
"eval_runtime": 202.5397,
|
665 |
+
"eval_samples_per_second": 19.537,
|
666 |
+
"eval_steps_per_second": 2.444,
|
667 |
+
"eval_wer": 0.1952958445461853,
|
668 |
+
"step": 17600
|
669 |
+
},
|
670 |
+
{
|
671 |
+
"epoch": 16.25,
|
672 |
+
"learning_rate": 0.0002471084458778472,
|
673 |
+
"loss": 0.187,
|
674 |
+
"step": 18000
|
675 |
+
},
|
676 |
+
{
|
677 |
+
"epoch": 16.25,
|
678 |
+
"eval_loss": 0.16360661387443542,
|
679 |
+
"eval_runtime": 202.7459,
|
680 |
+
"eval_samples_per_second": 19.517,
|
681 |
+
"eval_steps_per_second": 2.441,
|
682 |
+
"eval_wer": 0.19442211582147975,
|
683 |
+
"step": 18000
|
684 |
+
},
|
685 |
+
{
|
686 |
+
"epoch": 16.61,
|
687 |
+
"learning_rate": 0.00024589901229590805,
|
688 |
+
"loss": 0.1931,
|
689 |
+
"step": 18400
|
690 |
+
},
|
691 |
+
{
|
692 |
+
"epoch": 16.61,
|
693 |
+
"eval_loss": 0.1533084213733673,
|
694 |
+
"eval_runtime": 203.0495,
|
695 |
+
"eval_samples_per_second": 19.488,
|
696 |
+
"eval_steps_per_second": 2.438,
|
697 |
+
"eval_wer": 0.1916960822003984,
|
698 |
+
"step": 18400
|
699 |
+
},
|
700 |
+
{
|
701 |
+
"epoch": 16.97,
|
702 |
+
"learning_rate": 0.000244689578713969,
|
703 |
+
"loss": 0.1891,
|
704 |
+
"step": 18800
|
705 |
+
},
|
706 |
+
{
|
707 |
+
"epoch": 16.97,
|
708 |
+
"eval_loss": 0.16208086907863617,
|
709 |
+
"eval_runtime": 202.8946,
|
710 |
+
"eval_samples_per_second": 19.503,
|
711 |
+
"eval_steps_per_second": 2.44,
|
712 |
+
"eval_wer": 0.1907175060287282,
|
713 |
+
"step": 18800
|
714 |
+
},
|
715 |
+
{
|
716 |
+
"epoch": 17.33,
|
717 |
+
"learning_rate": 0.00024348014513202981,
|
718 |
+
"loss": 0.1863,
|
719 |
+
"step": 19200
|
720 |
+
},
|
721 |
+
{
|
722 |
+
"epoch": 17.33,
|
723 |
+
"eval_loss": 0.15993733704090118,
|
724 |
+
"eval_runtime": 202.8467,
|
725 |
+
"eval_samples_per_second": 19.507,
|
726 |
+
"eval_steps_per_second": 2.44,
|
727 |
+
"eval_wer": 0.1905777094327753,
|
728 |
+
"step": 19200
|
729 |
+
},
|
730 |
+
{
|
731 |
+
"epoch": 17.69,
|
732 |
+
"learning_rate": 0.00024227071155009068,
|
733 |
+
"loss": 0.1863,
|
734 |
+
"step": 19600
|
735 |
+
},
|
736 |
+
{
|
737 |
+
"epoch": 17.69,
|
738 |
+
"eval_loss": 0.15354220569133759,
|
739 |
+
"eval_runtime": 202.9873,
|
740 |
+
"eval_samples_per_second": 19.494,
|
741 |
+
"eval_steps_per_second": 2.439,
|
742 |
+
"eval_wer": 0.1911718449655751,
|
743 |
+
"step": 19600
|
744 |
+
},
|
745 |
+
{
|
746 |
+
"epoch": 18.05,
|
747 |
+
"learning_rate": 0.00024106127796815155,
|
748 |
+
"loss": 0.1827,
|
749 |
+
"step": 20000
|
750 |
+
},
|
751 |
+
{
|
752 |
+
"epoch": 18.05,
|
753 |
+
"eval_loss": 0.1616511195898056,
|
754 |
+
"eval_runtime": 204.4003,
|
755 |
+
"eval_samples_per_second": 19.359,
|
756 |
+
"eval_steps_per_second": 2.422,
|
757 |
+
"eval_wer": 0.1880264215566351,
|
758 |
+
"step": 20000
|
759 |
+
},
|
760 |
+
{
|
761 |
+
"epoch": 18.41,
|
762 |
+
"learning_rate": 0.00023985184438621244,
|
763 |
+
"loss": 0.1822,
|
764 |
+
"step": 20400
|
765 |
+
},
|
766 |
+
{
|
767 |
+
"epoch": 18.41,
|
768 |
+
"eval_loss": 0.1649104207754135,
|
769 |
+
"eval_runtime": 206.8059,
|
770 |
+
"eval_samples_per_second": 19.134,
|
771 |
+
"eval_steps_per_second": 2.394,
|
772 |
+
"eval_wer": 0.18806137070562332,
|
773 |
+
"step": 20400
|
774 |
+
},
|
775 |
+
{
|
776 |
+
"epoch": 18.77,
|
777 |
+
"learning_rate": 0.0002386424108042733,
|
778 |
+
"loss": 0.1841,
|
779 |
+
"step": 20800
|
780 |
+
},
|
781 |
+
{
|
782 |
+
"epoch": 18.77,
|
783 |
+
"eval_loss": 0.16039612889289856,
|
784 |
+
"eval_runtime": 204.0742,
|
785 |
+
"eval_samples_per_second": 19.39,
|
786 |
+
"eval_steps_per_second": 2.426,
|
787 |
+
"eval_wer": 0.18942438751616397,
|
788 |
+
"step": 20800
|
789 |
+
},
|
790 |
+
{
|
791 |
+
"epoch": 19.13,
|
792 |
+
"learning_rate": 0.00023743297722233418,
|
793 |
+
"loss": 0.1817,
|
794 |
+
"step": 21200
|
795 |
+
},
|
796 |
+
{
|
797 |
+
"epoch": 19.13,
|
798 |
+
"eval_loss": 0.157293900847435,
|
799 |
+
"eval_runtime": 202.3143,
|
800 |
+
"eval_samples_per_second": 19.559,
|
801 |
+
"eval_steps_per_second": 2.447,
|
802 |
+
"eval_wer": 0.1810715409079789,
|
803 |
+
"step": 21200
|
804 |
+
},
|
805 |
+
{
|
806 |
+
"epoch": 19.49,
|
807 |
+
"learning_rate": 0.00023622959080830475,
|
808 |
+
"loss": 0.1756,
|
809 |
+
"step": 21600
|
810 |
+
},
|
811 |
+
{
|
812 |
+
"epoch": 19.49,
|
813 |
+
"eval_loss": 0.16328036785125732,
|
814 |
+
"eval_runtime": 204.2348,
|
815 |
+
"eval_samples_per_second": 19.375,
|
816 |
+
"eval_steps_per_second": 2.424,
|
817 |
+
"eval_wer": 0.18809631985461153,
|
818 |
+
"step": 21600
|
819 |
+
},
|
820 |
+
{
|
821 |
+
"epoch": 19.86,
|
822 |
+
"learning_rate": 0.00023502015722636564,
|
823 |
+
"loss": 0.1804,
|
824 |
+
"step": 22000
|
825 |
+
},
|
826 |
+
{
|
827 |
+
"epoch": 19.86,
|
828 |
+
"eval_loss": 0.1585751324892044,
|
829 |
+
"eval_runtime": 204.9615,
|
830 |
+
"eval_samples_per_second": 19.306,
|
831 |
+
"eval_steps_per_second": 2.415,
|
832 |
+
"eval_wer": 0.18823611645056443,
|
833 |
+
"step": 22000
|
834 |
+
},
|
835 |
+
{
|
836 |
+
"epoch": 20.22,
|
837 |
+
"learning_rate": 0.0002338107236444265,
|
838 |
+
"loss": 0.1736,
|
839 |
+
"step": 22400
|
840 |
+
},
|
841 |
+
{
|
842 |
+
"epoch": 20.22,
|
843 |
+
"eval_loss": 0.15415678918361664,
|
844 |
+
"eval_runtime": 202.4017,
|
845 |
+
"eval_samples_per_second": 19.55,
|
846 |
+
"eval_steps_per_second": 2.446,
|
847 |
+
"eval_wer": 0.19033306538985775,
|
848 |
+
"step": 22400
|
849 |
+
},
|
850 |
+
{
|
851 |
+
"epoch": 20.58,
|
852 |
+
"learning_rate": 0.00023260129006248738,
|
853 |
+
"loss": 0.1704,
|
854 |
+
"step": 22800
|
855 |
+
},
|
856 |
+
{
|
857 |
+
"epoch": 20.58,
|
858 |
+
"eval_loss": 0.1622617095708847,
|
859 |
+
"eval_runtime": 206.2682,
|
860 |
+
"eval_samples_per_second": 19.184,
|
861 |
+
"eval_steps_per_second": 2.4,
|
862 |
+
"eval_wer": 0.1983014713591724,
|
863 |
+
"step": 22800
|
864 |
+
},
|
865 |
+
{
|
866 |
+
"epoch": 20.94,
|
867 |
+
"learning_rate": 0.00023139185648054828,
|
868 |
+
"loss": 0.1741,
|
869 |
+
"step": 23200
|
870 |
+
},
|
871 |
+
{
|
872 |
+
"epoch": 20.94,
|
873 |
+
"eval_loss": 0.15422095358371735,
|
874 |
+
"eval_runtime": 208.5273,
|
875 |
+
"eval_samples_per_second": 18.976,
|
876 |
+
"eval_steps_per_second": 2.374,
|
877 |
+
"eval_wer": 0.19568028518505573,
|
878 |
+
"step": 23200
|
879 |
+
},
|
880 |
+
{
|
881 |
+
"epoch": 21.3,
|
882 |
+
"learning_rate": 0.00023018242289860912,
|
883 |
+
"loss": 0.1642,
|
884 |
+
"step": 23600
|
885 |
+
},
|
886 |
+
{
|
887 |
+
"epoch": 21.3,
|
888 |
+
"eval_loss": 0.155488982796669,
|
889 |
+
"eval_runtime": 206.3858,
|
890 |
+
"eval_samples_per_second": 19.173,
|
891 |
+
"eval_steps_per_second": 2.398,
|
892 |
+
"eval_wer": 0.19704330199559641,
|
893 |
+
"step": 23600
|
894 |
+
},
|
895 |
+
{
|
896 |
+
"epoch": 21.66,
|
897 |
+
"learning_rate": 0.00022897601290062486,
|
898 |
+
"loss": 0.1707,
|
899 |
+
"step": 24000
|
900 |
+
},
|
901 |
+
{
|
902 |
+
"epoch": 21.66,
|
903 |
+
"eval_loss": 0.15275663137435913,
|
904 |
+
"eval_runtime": 206.6413,
|
905 |
+
"eval_samples_per_second": 19.149,
|
906 |
+
"eval_steps_per_second": 2.395,
|
907 |
+
"eval_wer": 0.18442665921084822,
|
908 |
+
"step": 24000
|
909 |
+
},
|
910 |
+
{
|
911 |
+
"epoch": 22.02,
|
912 |
+
"learning_rate": 0.00022776657931868573,
|
913 |
+
"loss": 0.1673,
|
914 |
+
"step": 24400
|
915 |
+
},
|
916 |
+
{
|
917 |
+
"epoch": 22.02,
|
918 |
+
"eval_loss": 0.15888585150241852,
|
919 |
+
"eval_runtime": 208.9307,
|
920 |
+
"eval_samples_per_second": 18.939,
|
921 |
+
"eval_steps_per_second": 2.369,
|
922 |
+
"eval_wer": 0.1858246251703771,
|
923 |
+
"step": 24400
|
924 |
+
},
|
925 |
+
{
|
926 |
+
"epoch": 22.38,
|
927 |
+
"learning_rate": 0.0002265571457367466,
|
928 |
+
"loss": 0.1593,
|
929 |
+
"step": 24800
|
930 |
+
},
|
931 |
+
{
|
932 |
+
"epoch": 22.38,
|
933 |
+
"eval_loss": 0.15319041907787323,
|
934 |
+
"eval_runtime": 206.6808,
|
935 |
+
"eval_samples_per_second": 19.145,
|
936 |
+
"eval_steps_per_second": 2.395,
|
937 |
+
"eval_wer": 0.17750672771118023,
|
938 |
+
"step": 24800
|
939 |
+
},
|
940 |
+
{
|
941 |
+
"epoch": 22.74,
|
942 |
+
"learning_rate": 0.0002253477121548075,
|
943 |
+
"loss": 0.1595,
|
944 |
+
"step": 25200
|
945 |
+
},
|
946 |
+
{
|
947 |
+
"epoch": 22.74,
|
948 |
+
"eval_loss": 0.15495522320270538,
|
949 |
+
"eval_runtime": 211.5152,
|
950 |
+
"eval_samples_per_second": 18.708,
|
951 |
+
"eval_steps_per_second": 2.34,
|
952 |
+
"eval_wer": 0.1755495753678398,
|
953 |
+
"step": 25200
|
954 |
+
},
|
955 |
+
{
|
956 |
+
"epoch": 23.1,
|
957 |
+
"learning_rate": 0.00022413827857286836,
|
958 |
+
"loss": 0.1598,
|
959 |
+
"step": 25600
|
960 |
+
},
|
961 |
+
{
|
962 |
+
"epoch": 23.1,
|
963 |
+
"eval_loss": 0.16047397255897522,
|
964 |
+
"eval_runtime": 213.237,
|
965 |
+
"eval_samples_per_second": 18.557,
|
966 |
+
"eval_steps_per_second": 2.321,
|
967 |
+
"eval_wer": 0.18624401495823575,
|
968 |
+
"step": 25600
|
969 |
+
},
|
970 |
+
{
|
971 |
+
"epoch": 23.47,
|
972 |
+
"learning_rate": 0.00022293186857488405,
|
973 |
+
"loss": 0.1573,
|
974 |
+
"step": 26000
|
975 |
+
},
|
976 |
+
{
|
977 |
+
"epoch": 23.47,
|
978 |
+
"eval_loss": 0.15952068567276,
|
979 |
+
"eval_runtime": 205.0554,
|
980 |
+
"eval_samples_per_second": 19.297,
|
981 |
+
"eval_steps_per_second": 2.414,
|
982 |
+
"eval_wer": 0.17796106664802713,
|
983 |
+
"step": 26000
|
984 |
+
},
|
985 |
+
{
|
986 |
+
"epoch": 23.83,
|
987 |
+
"learning_rate": 0.00022172243499294495,
|
988 |
+
"loss": 0.1596,
|
989 |
+
"step": 26400
|
990 |
+
},
|
991 |
+
{
|
992 |
+
"epoch": 23.83,
|
993 |
+
"eval_loss": 0.15038904547691345,
|
994 |
+
"eval_runtime": 203.7621,
|
995 |
+
"eval_samples_per_second": 19.42,
|
996 |
+
"eval_steps_per_second": 2.429,
|
997 |
+
"eval_wer": 0.17879984622374445,
|
998 |
+
"step": 26400
|
999 |
+
},
|
1000 |
+
{
|
1001 |
+
"epoch": 24.19,
|
1002 |
+
"learning_rate": 0.00022051300141100584,
|
1003 |
+
"loss": 0.1589,
|
1004 |
+
"step": 26800
|
1005 |
+
},
|
1006 |
+
{
|
1007 |
+
"epoch": 24.19,
|
1008 |
+
"eval_loss": 0.15989159047603607,
|
1009 |
+
"eval_runtime": 202.8293,
|
1010 |
+
"eval_samples_per_second": 19.509,
|
1011 |
+
"eval_steps_per_second": 2.44,
|
1012 |
+
"eval_wer": 0.17677279558242756,
|
1013 |
+
"step": 26800
|
1014 |
+
},
|
1015 |
+
{
|
1016 |
+
"epoch": 24.55,
|
1017 |
+
"learning_rate": 0.00021930356782906668,
|
1018 |
+
"loss": 0.1551,
|
1019 |
+
"step": 27200
|
1020 |
+
},
|
1021 |
+
{
|
1022 |
+
"epoch": 24.55,
|
1023 |
+
"eval_loss": 0.15309767425060272,
|
1024 |
+
"eval_runtime": 203.5071,
|
1025 |
+
"eval_samples_per_second": 19.444,
|
1026 |
+
"eval_steps_per_second": 2.432,
|
1027 |
+
"eval_wer": 0.1685946947191836,
|
1028 |
+
"step": 27200
|
1029 |
+
},
|
1030 |
+
{
|
1031 |
+
"epoch": 24.91,
|
1032 |
+
"learning_rate": 0.00021809413424712758,
|
1033 |
+
"loss": 0.1593,
|
1034 |
+
"step": 27600
|
1035 |
+
},
|
1036 |
+
{
|
1037 |
+
"epoch": 24.91,
|
1038 |
+
"eval_loss": 0.1611892282962799,
|
1039 |
+
"eval_runtime": 203.404,
|
1040 |
+
"eval_samples_per_second": 19.454,
|
1041 |
+
"eval_steps_per_second": 2.434,
|
1042 |
+
"eval_wer": 0.181560828993814,
|
1043 |
+
"step": 27600
|
1044 |
+
},
|
1045 |
+
{
|
1046 |
+
"epoch": 25.27,
|
1047 |
+
"learning_rate": 0.00021688470066518845,
|
1048 |
+
"loss": 0.1519,
|
1049 |
+
"step": 28000
|
1050 |
+
},
|
1051 |
+
{
|
1052 |
+
"epoch": 25.27,
|
1053 |
+
"eval_loss": 0.16373491287231445,
|
1054 |
+
"eval_runtime": 203.251,
|
1055 |
+
"eval_samples_per_second": 19.469,
|
1056 |
+
"eval_steps_per_second": 2.435,
|
1057 |
+
"eval_wer": 0.17638835494355712,
|
1058 |
+
"step": 28000
|
1059 |
+
},
|
1060 |
+
{
|
1061 |
+
"epoch": 25.63,
|
1062 |
+
"learning_rate": 0.0002156752670832493,
|
1063 |
+
"loss": 0.1509,
|
1064 |
+
"step": 28400
|
1065 |
+
},
|
1066 |
+
{
|
1067 |
+
"epoch": 25.63,
|
1068 |
+
"eval_loss": 0.15399527549743652,
|
1069 |
+
"eval_runtime": 203.0998,
|
1070 |
+
"eval_samples_per_second": 19.483,
|
1071 |
+
"eval_steps_per_second": 2.437,
|
1072 |
+
"eval_wer": 0.17093628770139446,
|
1073 |
+
"step": 28400
|
1074 |
+
},
|
1075 |
+
{
|
1076 |
+
"epoch": 25.99,
|
1077 |
+
"learning_rate": 0.0002144658335013102,
|
1078 |
+
"loss": 0.1524,
|
1079 |
+
"step": 28800
|
1080 |
+
},
|
1081 |
+
{
|
1082 |
+
"epoch": 25.99,
|
1083 |
+
"eval_loss": 0.1519121676683426,
|
1084 |
+
"eval_runtime": 203.5041,
|
1085 |
+
"eval_samples_per_second": 19.444,
|
1086 |
+
"eval_steps_per_second": 2.432,
|
1087 |
+
"eval_wer": 0.18072204941809666,
|
1088 |
+
"step": 28800
|
1089 |
+
},
|
1090 |
+
{
|
1091 |
+
"epoch": 26.35,
|
1092 |
+
"learning_rate": 0.00021325639991937108,
|
1093 |
+
"loss": 0.1452,
|
1094 |
+
"step": 29200
|
1095 |
+
},
|
1096 |
+
{
|
1097 |
+
"epoch": 26.35,
|
1098 |
+
"eval_loss": 0.15314562618732452,
|
1099 |
+
"eval_runtime": 203.4098,
|
1100 |
+
"eval_samples_per_second": 19.453,
|
1101 |
+
"eval_steps_per_second": 2.434,
|
1102 |
+
"eval_wer": 0.17310313493866425,
|
1103 |
+
"step": 29200
|
1104 |
+
},
|
1105 |
+
{
|
1106 |
+
"epoch": 26.71,
|
1107 |
+
"learning_rate": 0.0002120499899213868,
|
1108 |
+
"loss": 0.1485,
|
1109 |
+
"step": 29600
|
1110 |
+
},
|
1111 |
+
{
|
1112 |
+
"epoch": 26.71,
|
1113 |
+
"eval_loss": 0.14827923476696014,
|
1114 |
+
"eval_runtime": 203.2718,
|
1115 |
+
"eval_samples_per_second": 19.467,
|
1116 |
+
"eval_steps_per_second": 2.435,
|
1117 |
+
"eval_wer": 0.16136022087862162,
|
1118 |
+
"step": 29600
|
1119 |
+
},
|
1120 |
+
{
|
1121 |
+
"epoch": 27.08,
|
1122 |
+
"learning_rate": 0.0002108405563394477,
|
1123 |
+
"loss": 0.1513,
|
1124 |
+
"step": 30000
|
1125 |
+
},
|
1126 |
+
{
|
1127 |
+
"epoch": 27.08,
|
1128 |
+
"eval_loss": 0.15502476692199707,
|
1129 |
+
"eval_runtime": 203.5744,
|
1130 |
+
"eval_samples_per_second": 19.438,
|
1131 |
+
"eval_steps_per_second": 2.432,
|
1132 |
+
"eval_wer": 0.16579876280012582,
|
1133 |
+
"step": 30000
|
1134 |
+
},
|
1135 |
+
{
|
1136 |
+
"epoch": 27.44,
|
1137 |
+
"learning_rate": 0.00020963112275750853,
|
1138 |
+
"loss": 0.1437,
|
1139 |
+
"step": 30400
|
1140 |
+
},
|
1141 |
+
{
|
1142 |
+
"epoch": 27.44,
|
1143 |
+
"eval_loss": 0.15631796419620514,
|
1144 |
+
"eval_runtime": 204.0627,
|
1145 |
+
"eval_samples_per_second": 19.391,
|
1146 |
+
"eval_steps_per_second": 2.426,
|
1147 |
+
"eval_wer": 0.16614825429000804,
|
1148 |
+
"step": 30400
|
1149 |
+
},
|
1150 |
+
{
|
1151 |
+
"epoch": 27.8,
|
1152 |
+
"learning_rate": 0.00020842168917556943,
|
1153 |
+
"loss": 0.1445,
|
1154 |
+
"step": 30800
|
1155 |
+
},
|
1156 |
+
{
|
1157 |
+
"epoch": 27.8,
|
1158 |
+
"eval_loss": 0.15840862691402435,
|
1159 |
+
"eval_runtime": 204.5713,
|
1160 |
+
"eval_samples_per_second": 19.343,
|
1161 |
+
"eval_steps_per_second": 2.42,
|
1162 |
+
"eval_wer": 0.17086638940341803,
|
1163 |
+
"step": 30800
|
1164 |
+
},
|
1165 |
+
{
|
1166 |
+
"epoch": 28.16,
|
1167 |
+
"learning_rate": 0.0002072122555936303,
|
1168 |
+
"loss": 0.1438,
|
1169 |
+
"step": 31200
|
1170 |
+
},
|
1171 |
+
{
|
1172 |
+
"epoch": 28.16,
|
1173 |
+
"eval_loss": 0.15680429339408875,
|
1174 |
+
"eval_runtime": 204.0022,
|
1175 |
+
"eval_samples_per_second": 19.397,
|
1176 |
+
"eval_steps_per_second": 2.426,
|
1177 |
+
"eval_wer": 0.1630727291790445,
|
1178 |
+
"step": 31200
|
1179 |
+
},
|
1180 |
+
{
|
1181 |
+
"epoch": 28.52,
|
1182 |
+
"learning_rate": 0.00020600282201169116,
|
1183 |
+
"loss": 0.1423,
|
1184 |
+
"step": 31600
|
1185 |
+
},
|
1186 |
+
{
|
1187 |
+
"epoch": 28.52,
|
1188 |
+
"eval_loss": 0.15523846447467804,
|
1189 |
+
"eval_runtime": 203.5692,
|
1190 |
+
"eval_samples_per_second": 19.438,
|
1191 |
+
"eval_steps_per_second": 2.432,
|
1192 |
+
"eval_wer": 0.16090588194177471,
|
1193 |
+
"step": 31600
|
1194 |
+
},
|
1195 |
+
{
|
1196 |
+
"epoch": 28.88,
|
1197 |
+
"learning_rate": 0.00020479338842975206,
|
1198 |
+
"loss": 0.1451,
|
1199 |
+
"step": 32000
|
1200 |
+
},
|
1201 |
+
{
|
1202 |
+
"epoch": 28.88,
|
1203 |
+
"eval_loss": 0.1542510688304901,
|
1204 |
+
"eval_runtime": 203.7413,
|
1205 |
+
"eval_samples_per_second": 19.422,
|
1206 |
+
"eval_steps_per_second": 2.43,
|
1207 |
+
"eval_wer": 0.16314262747702094,
|
1208 |
+
"step": 32000
|
1209 |
+
},
|
1210 |
+
{
|
1211 |
+
"epoch": 29.24,
|
1212 |
+
"learning_rate": 0.00020358395484781292,
|
1213 |
+
"loss": 0.1396,
|
1214 |
+
"step": 32400
|
1215 |
+
},
|
1216 |
+
{
|
1217 |
+
"epoch": 29.24,
|
1218 |
+
"eval_loss": 0.15091465413570404,
|
1219 |
+
"eval_runtime": 203.6781,
|
1220 |
+
"eval_samples_per_second": 19.428,
|
1221 |
+
"eval_steps_per_second": 2.43,
|
1222 |
+
"eval_wer": 0.16317757662600915,
|
1223 |
+
"step": 32400
|
1224 |
+
},
|
1225 |
+
{
|
1226 |
+
"epoch": 29.6,
|
1227 |
+
"learning_rate": 0.0002023745212658738,
|
1228 |
+
"loss": 0.142,
|
1229 |
+
"step": 32800
|
1230 |
+
},
|
1231 |
+
{
|
1232 |
+
"epoch": 29.6,
|
1233 |
+
"eval_loss": 0.15581683814525604,
|
1234 |
+
"eval_runtime": 203.4725,
|
1235 |
+
"eval_samples_per_second": 19.447,
|
1236 |
+
"eval_steps_per_second": 2.433,
|
1237 |
+
"eval_wer": 0.1635620172648796,
|
1238 |
+
"step": 32800
|
1239 |
+
},
|
1240 |
+
{
|
1241 |
+
"epoch": 29.96,
|
1242 |
+
"learning_rate": 0.0002011650876839347,
|
1243 |
+
"loss": 0.1385,
|
1244 |
+
"step": 33200
|
1245 |
+
},
|
1246 |
+
{
|
1247 |
+
"epoch": 29.96,
|
1248 |
+
"eval_loss": 0.145892933011055,
|
1249 |
+
"eval_runtime": 203.8769,
|
1250 |
+
"eval_samples_per_second": 19.409,
|
1251 |
+
"eval_steps_per_second": 2.428,
|
1252 |
+
"eval_wer": 0.17338272813057,
|
1253 |
+
"step": 33200
|
1254 |
+
},
|
1255 |
+
{
|
1256 |
+
"epoch": 30.32,
|
1257 |
+
"learning_rate": 0.00019995565410199556,
|
1258 |
+
"loss": 0.1376,
|
1259 |
+
"step": 33600
|
1260 |
+
},
|
1261 |
+
{
|
1262 |
+
"epoch": 30.32,
|
1263 |
+
"eval_loss": 0.15049244463443756,
|
1264 |
+
"eval_runtime": 203.9232,
|
1265 |
+
"eval_samples_per_second": 19.404,
|
1266 |
+
"eval_steps_per_second": 2.427,
|
1267 |
+
"eval_wer": 0.17236920280991158,
|
1268 |
+
"step": 33600
|
1269 |
+
},
|
1270 |
+
{
|
1271 |
+
"epoch": 30.69,
|
1272 |
+
"learning_rate": 0.00019874924410401127,
|
1273 |
+
"loss": 0.1399,
|
1274 |
+
"step": 34000
|
1275 |
+
},
|
1276 |
+
{
|
1277 |
+
"epoch": 30.69,
|
1278 |
+
"eval_loss": 0.14067970216274261,
|
1279 |
+
"eval_runtime": 203.8686,
|
1280 |
+
"eval_samples_per_second": 19.41,
|
1281 |
+
"eval_steps_per_second": 2.428,
|
1282 |
+
"eval_wer": 0.1610107293887394,
|
1283 |
+
"step": 34000
|
1284 |
+
},
|
1285 |
+
{
|
1286 |
+
"epoch": 31.05,
|
1287 |
+
"learning_rate": 0.00019753981052207217,
|
1288 |
+
"loss": 0.1377,
|
1289 |
+
"step": 34400
|
1290 |
+
},
|
1291 |
+
{
|
1292 |
+
"epoch": 31.05,
|
1293 |
+
"eval_loss": 0.1523168534040451,
|
1294 |
+
"eval_runtime": 203.6263,
|
1295 |
+
"eval_samples_per_second": 19.433,
|
1296 |
+
"eval_steps_per_second": 2.431,
|
1297 |
+
"eval_wer": 0.17292838919372314,
|
1298 |
+
"step": 34400
|
1299 |
+
},
|
1300 |
+
{
|
1301 |
+
"epoch": 31.41,
|
1302 |
+
"learning_rate": 0.000196330376940133,
|
1303 |
+
"loss": 0.1331,
|
1304 |
+
"step": 34800
|
1305 |
+
},
|
1306 |
+
{
|
1307 |
+
"epoch": 31.41,
|
1308 |
+
"eval_loss": 0.14309507608413696,
|
1309 |
+
"eval_runtime": 204.8423,
|
1310 |
+
"eval_samples_per_second": 19.317,
|
1311 |
+
"eval_steps_per_second": 2.416,
|
1312 |
+
"eval_wer": 0.1706566945094887,
|
1313 |
+
"step": 34800
|
1314 |
+
},
|
1315 |
+
{
|
1316 |
+
"epoch": 31.77,
|
1317 |
+
"learning_rate": 0.0001951209433581939,
|
1318 |
+
"loss": 0.1356,
|
1319 |
+
"step": 35200
|
1320 |
+
},
|
1321 |
+
{
|
1322 |
+
"epoch": 31.77,
|
1323 |
+
"eval_loss": 0.1558520793914795,
|
1324 |
+
"eval_runtime": 204.495,
|
1325 |
+
"eval_samples_per_second": 19.35,
|
1326 |
+
"eval_steps_per_second": 2.421,
|
1327 |
+
"eval_wer": 0.16391150875476182,
|
1328 |
+
"step": 35200
|
1329 |
+
},
|
1330 |
+
{
|
1331 |
+
"epoch": 32.13,
|
1332 |
+
"learning_rate": 0.00019391150977625477,
|
1333 |
+
"loss": 0.1381,
|
1334 |
+
"step": 35600
|
1335 |
+
},
|
1336 |
+
{
|
1337 |
+
"epoch": 32.13,
|
1338 |
+
"eval_loss": 0.14920052886009216,
|
1339 |
+
"eval_runtime": 204.3124,
|
1340 |
+
"eval_samples_per_second": 19.367,
|
1341 |
+
"eval_steps_per_second": 2.423,
|
1342 |
+
"eval_wer": 0.1660783559920316,
|
1343 |
+
"step": 35600
|
1344 |
+
},
|
1345 |
+
{
|
1346 |
+
"epoch": 32.49,
|
1347 |
+
"learning_rate": 0.00019270207619431564,
|
1348 |
+
"loss": 0.1332,
|
1349 |
+
"step": 36000
|
1350 |
+
},
|
1351 |
+
{
|
1352 |
+
"epoch": 32.49,
|
1353 |
+
"eval_loss": 0.15177668631076813,
|
1354 |
+
"eval_runtime": 204.8291,
|
1355 |
+
"eval_samples_per_second": 19.319,
|
1356 |
+
"eval_steps_per_second": 2.417,
|
1357 |
+
"eval_wer": 0.16139517002760984,
|
1358 |
+
"step": 36000
|
1359 |
+
},
|
1360 |
+
{
|
1361 |
+
"epoch": 32.85,
|
1362 |
+
"learning_rate": 0.00019149264261237654,
|
1363 |
+
"loss": 0.1345,
|
1364 |
+
"step": 36400
|
1365 |
+
},
|
1366 |
+
{
|
1367 |
+
"epoch": 32.85,
|
1368 |
+
"eval_loss": 0.14764094352722168,
|
1369 |
+
"eval_runtime": 204.5031,
|
1370 |
+
"eval_samples_per_second": 19.349,
|
1371 |
+
"eval_steps_per_second": 2.421,
|
1372 |
+
"eval_wer": 0.1562925942753294,
|
1373 |
+
"step": 36400
|
1374 |
+
},
|
1375 |
+
{
|
1376 |
+
"epoch": 33.21,
|
1377 |
+
"learning_rate": 0.00019028320903043738,
|
1378 |
+
"loss": 0.1307,
|
1379 |
+
"step": 36800
|
1380 |
+
},
|
1381 |
+
{
|
1382 |
+
"epoch": 33.21,
|
1383 |
+
"eval_loss": 0.1433647871017456,
|
1384 |
+
"eval_runtime": 205.0597,
|
1385 |
+
"eval_samples_per_second": 19.297,
|
1386 |
+
"eval_steps_per_second": 2.414,
|
1387 |
+
"eval_wer": 0.15922832279034005,
|
1388 |
+
"step": 36800
|
1389 |
+
},
|
1390 |
+
{
|
1391 |
+
"epoch": 33.57,
|
1392 |
+
"learning_rate": 0.00018907679903245312,
|
1393 |
+
"loss": 0.1309,
|
1394 |
+
"step": 37200
|
1395 |
+
},
|
1396 |
+
{
|
1397 |
+
"epoch": 33.57,
|
1398 |
+
"eval_loss": 0.1497233361005783,
|
1399 |
+
"eval_runtime": 204.4523,
|
1400 |
+
"eval_samples_per_second": 19.354,
|
1401 |
+
"eval_steps_per_second": 2.421,
|
1402 |
+
"eval_wer": 0.17090133855240625,
|
1403 |
+
"step": 37200
|
1404 |
+
},
|
1405 |
+
{
|
1406 |
+
"epoch": 33.93,
|
1407 |
+
"learning_rate": 0.00018786736545051402,
|
1408 |
+
"loss": 0.1319,
|
1409 |
+
"step": 37600
|
1410 |
+
},
|
1411 |
+
{
|
1412 |
+
"epoch": 33.93,
|
1413 |
+
"eval_loss": 0.15207722783088684,
|
1414 |
+
"eval_runtime": 204.6556,
|
1415 |
+
"eval_samples_per_second": 19.335,
|
1416 |
+
"eval_steps_per_second": 2.419,
|
1417 |
+
"eval_wer": 0.1708314402544298,
|
1418 |
+
"step": 37600
|
1419 |
+
},
|
1420 |
+
{
|
1421 |
+
"epoch": 34.3,
|
1422 |
+
"learning_rate": 0.00018665793186857486,
|
1423 |
+
"loss": 0.1279,
|
1424 |
+
"step": 38000
|
1425 |
+
},
|
1426 |
+
{
|
1427 |
+
"epoch": 34.3,
|
1428 |
+
"eval_loss": 0.14533580839633942,
|
1429 |
+
"eval_runtime": 205.2587,
|
1430 |
+
"eval_samples_per_second": 19.278,
|
1431 |
+
"eval_steps_per_second": 2.412,
|
1432 |
+
"eval_wer": 0.1569566281061056,
|
1433 |
+
"step": 38000
|
1434 |
+
},
|
1435 |
+
{
|
1436 |
+
"epoch": 34.66,
|
1437 |
+
"learning_rate": 0.00018544849828663575,
|
1438 |
+
"loss": 0.1268,
|
1439 |
+
"step": 38400
|
1440 |
+
},
|
1441 |
+
{
|
1442 |
+
"epoch": 34.66,
|
1443 |
+
"eval_loss": 0.14409175515174866,
|
1444 |
+
"eval_runtime": 204.8962,
|
1445 |
+
"eval_samples_per_second": 19.312,
|
1446 |
+
"eval_steps_per_second": 2.416,
|
1447 |
+
"eval_wer": 0.1608709327927865,
|
1448 |
+
"step": 38400
|
1449 |
+
},
|
1450 |
+
{
|
1451 |
+
"epoch": 35.02,
|
1452 |
+
"learning_rate": 0.0001842390647046966,
|
1453 |
+
"loss": 0.1301,
|
1454 |
+
"step": 38800
|
1455 |
+
},
|
1456 |
+
{
|
1457 |
+
"epoch": 35.02,
|
1458 |
+
"eval_loss": 0.1421143114566803,
|
1459 |
+
"eval_runtime": 205.2147,
|
1460 |
+
"eval_samples_per_second": 19.282,
|
1461 |
+
"eval_steps_per_second": 2.412,
|
1462 |
+
"eval_wer": 0.1567818823611645,
|
1463 |
+
"step": 38800
|
1464 |
+
},
|
1465 |
+
{
|
1466 |
+
"epoch": 35.38,
|
1467 |
+
"learning_rate": 0.0001830296311227575,
|
1468 |
+
"loss": 0.1248,
|
1469 |
+
"step": 39200
|
1470 |
+
},
|
1471 |
+
{
|
1472 |
+
"epoch": 35.38,
|
1473 |
+
"eval_loss": 0.14348700642585754,
|
1474 |
+
"eval_runtime": 209.2746,
|
1475 |
+
"eval_samples_per_second": 18.908,
|
1476 |
+
"eval_steps_per_second": 2.365,
|
1477 |
+
"eval_wer": 0.15727117044699962,
|
1478 |
+
"step": 39200
|
1479 |
+
},
|
1480 |
+
{
|
1481 |
+
"epoch": 35.74,
|
1482 |
+
"learning_rate": 0.00018182322112477323,
|
1483 |
+
"loss": 0.1256,
|
1484 |
+
"step": 39600
|
1485 |
+
},
|
1486 |
+
{
|
1487 |
+
"epoch": 35.74,
|
1488 |
+
"eval_loss": 0.14100748300552368,
|
1489 |
+
"eval_runtime": 214.9156,
|
1490 |
+
"eval_samples_per_second": 18.412,
|
1491 |
+
"eval_steps_per_second": 2.303,
|
1492 |
+
"eval_wer": 0.1528326285254954,
|
1493 |
+
"step": 39600
|
1494 |
+
}
|
1495 |
+
],
|
1496 |
+
"max_steps": 99720,
|
1497 |
+
"num_train_epochs": 90,
|
1498 |
+
"total_flos": 1.728945548938538e+20,
|
1499 |
+
"trial_name": null,
|
1500 |
+
"trial_params": null
|
1501 |
+
}
|
training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:a14684982016a59a1ac5f3e95d14e445c0af8431dab5efc04d3bde3ec2b1ae6e
|
3 |
+
size 2799
|
vocab.json
ADDED
@@ -0,0 +1 @@
|
|
|
|
|
1 |
+
{"a": 1, "b": 2, "c": 3, "d": 4, "e": 5, "f": 6, "g": 7, "h": 8, "i": 9, "j": 10, "k": 11, "l": 12, "m": 13, "n": 14, "o": 15, "p": 16, "q": 17, "r": 18, "s": 19, "t": 20, "u": 21, "v": 22, "w": 23, "x": 24, "y": 25, "z": 26, "\u00e7": 27, "\u00eb": 28, "\u00f6": 29, "\u00fc": 30, "\u011f": 31, "\u0131": 32, "\u015f": 33, "\u0307": 34, "|": 0, "[UNK]": 35, "[PAD]": 36}
|