DewiBrynJones
commited on
Commit
•
487b0d0
1
Parent(s):
5439632
Training in progress, step 500
Browse files- README.md +113 -0
- added_tokens.json +4 -0
- all_results.json +15 -0
- config.json +116 -0
- eval_results.json +9 -0
- model.safetensors +3 -0
- preprocessor_config.json +10 -0
- runs/Oct03_11-33-38_8523e2deba23/events.out.tfevents.1727952382.8523e2deba23.123.0 +3 -0
- runs/Sep03_16-42-04_b8572a444d21/events.out.tfevents.1725378696.b8572a444d21.1168.0 +3 -0
- runs/Sep03_16-42-04_b8572a444d21/events.out.tfevents.1725382416.b8572a444d21.1168.1 +3 -0
- runs/Sep04_05-40-43_1edf4a34bc24/events.out.tfevents.1725425456.1edf4a34bc24.133.0 +3 -0
- runs/Sep04_05-40-43_1edf4a34bc24/events.out.tfevents.1725432731.1edf4a34bc24.133.1 +3 -0
- runs/Sep04_07-59-29_1edf4a34bc24/events.out.tfevents.1725433582.1edf4a34bc24.402.0 +3 -0
- runs/Sep04_07-59-29_1edf4a34bc24/events.out.tfevents.1725443011.1edf4a34bc24.402.1 +3 -0
- runs/Sep04_11-00-26_1edf4a34bc24/events.out.tfevents.1725444439.1edf4a34bc24.689.0 +3 -0
- runs/Sep04_11-00-26_1edf4a34bc24/events.out.tfevents.1725456098.1edf4a34bc24.689.1 +3 -0
- special_tokens_map.json +30 -0
- tokenizer_config.json +49 -0
- train_results.json +9 -0
- trainer_state.json +632 -0
- training_args.bin +3 -0
- vocab.json +41 -0
README.md
ADDED
@@ -0,0 +1,113 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
license: apache-2.0
|
3 |
+
base_model: DewiBrynJones/wav2vec2-xlsr-53-ft-btb-cv-cy
|
4 |
+
tags:
|
5 |
+
- automatic-speech-recognition
|
6 |
+
- ./data-configs/btb.json
|
7 |
+
- generated_from_trainer
|
8 |
+
metrics:
|
9 |
+
- wer
|
10 |
+
model-index:
|
11 |
+
- name: wav2vec2-btb-cv-ft-btb-cy-cand
|
12 |
+
results: []
|
13 |
+
---
|
14 |
+
|
15 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
16 |
+
should probably proofread and complete it, then remove this comment. -->
|
17 |
+
|
18 |
+
# wav2vec2-btb-cv-ft-btb-cy-cand
|
19 |
+
|
20 |
+
This model is a fine-tuned version of [DewiBrynJones/wav2vec2-xlsr-53-ft-btb-cv-cy](https://huggingface.co/DewiBrynJones/wav2vec2-xlsr-53-ft-btb-cv-cy) on an unknown dataset.
|
21 |
+
It achieves the following results on the evaluation set:
|
22 |
+
- Loss: 0.4345
|
23 |
+
- Wer: 0.3308
|
24 |
+
|
25 |
+
## Model description
|
26 |
+
|
27 |
+
More information needed
|
28 |
+
|
29 |
+
## Intended uses & limitations
|
30 |
+
|
31 |
+
More information needed
|
32 |
+
|
33 |
+
## Training and evaluation data
|
34 |
+
|
35 |
+
More information needed
|
36 |
+
|
37 |
+
## Training procedure
|
38 |
+
|
39 |
+
### Training hyperparameters
|
40 |
+
|
41 |
+
The following hyperparameters were used during training:
|
42 |
+
- learning_rate: 0.0003
|
43 |
+
- train_batch_size: 4
|
44 |
+
- eval_batch_size: 64
|
45 |
+
- seed: 42
|
46 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
47 |
+
- lr_scheduler_type: linear
|
48 |
+
- lr_scheduler_warmup_steps: 1000
|
49 |
+
- training_steps: 10000
|
50 |
+
- mixed_precision_training: Native AMP
|
51 |
+
|
52 |
+
### Training results
|
53 |
+
|
54 |
+
| Training Loss | Epoch | Step | Validation Loss | Wer |
|
55 |
+
|:-------------:|:------:|:-----:|:---------------:|:------:|
|
56 |
+
| No log | 0.0285 | 200 | 1.2522 | 0.6292 |
|
57 |
+
| No log | 0.0570 | 400 | 0.6599 | 0.4544 |
|
58 |
+
| 2.2791 | 0.0854 | 600 | 0.6629 | 0.4395 |
|
59 |
+
| 2.2791 | 0.1139 | 800 | 0.7910 | 0.5453 |
|
60 |
+
| 0.8206 | 0.1424 | 1000 | 0.7758 | 0.5701 |
|
61 |
+
| 0.8206 | 0.1709 | 1200 | 0.8025 | 0.5783 |
|
62 |
+
| 0.8206 | 0.1994 | 1400 | 0.7715 | 0.5211 |
|
63 |
+
| 0.9068 | 0.2279 | 1600 | 0.7349 | 0.5128 |
|
64 |
+
| 0.9068 | 0.2563 | 1800 | 0.7258 | 0.5152 |
|
65 |
+
| 0.8679 | 0.2848 | 2000 | 0.7084 | 0.5216 |
|
66 |
+
| 0.8679 | 0.3133 | 2200 | 0.6904 | 0.5014 |
|
67 |
+
| 0.8679 | 0.3418 | 2400 | 0.6993 | 0.5178 |
|
68 |
+
| 0.8577 | 0.3703 | 2600 | 0.6746 | 0.4867 |
|
69 |
+
| 0.8577 | 0.3987 | 2800 | 0.6622 | 0.4963 |
|
70 |
+
| 0.7995 | 0.4272 | 3000 | 0.6793 | 0.4935 |
|
71 |
+
| 0.7995 | 0.4557 | 3200 | 0.6368 | 0.4701 |
|
72 |
+
| 0.7995 | 0.4842 | 3400 | 0.6363 | 0.4781 |
|
73 |
+
| 0.8141 | 0.5127 | 3600 | 0.6217 | 0.4656 |
|
74 |
+
| 0.8141 | 0.5412 | 3800 | 0.6418 | 0.4940 |
|
75 |
+
| 0.7953 | 0.5696 | 4000 | 0.6018 | 0.4542 |
|
76 |
+
| 0.7953 | 0.5981 | 4200 | 0.5962 | 0.4580 |
|
77 |
+
| 0.7953 | 0.6266 | 4400 | 0.5883 | 0.4459 |
|
78 |
+
| 0.7596 | 0.6551 | 4600 | 0.5788 | 0.4325 |
|
79 |
+
| 0.7596 | 0.6836 | 4800 | 0.5709 | 0.4412 |
|
80 |
+
| 0.7533 | 0.7120 | 5000 | 0.5595 | 0.4352 |
|
81 |
+
| 0.7533 | 0.7405 | 5200 | 0.5546 | 0.4232 |
|
82 |
+
| 0.7533 | 0.7690 | 5400 | 0.5545 | 0.4244 |
|
83 |
+
| 0.7591 | 0.7975 | 5600 | 0.5443 | 0.4076 |
|
84 |
+
| 0.7591 | 0.8260 | 5800 | 0.5341 | 0.4146 |
|
85 |
+
| 0.6621 | 0.8545 | 6000 | 0.5104 | 0.3955 |
|
86 |
+
| 0.6621 | 0.8829 | 6200 | 0.5139 | 0.4011 |
|
87 |
+
| 0.6621 | 0.9114 | 6400 | 0.5044 | 0.3804 |
|
88 |
+
| 0.6705 | 0.9399 | 6600 | 0.4999 | 0.3896 |
|
89 |
+
| 0.6705 | 0.9684 | 6800 | 0.5097 | 0.4053 |
|
90 |
+
| 0.6665 | 0.9969 | 7000 | 0.4925 | 0.3785 |
|
91 |
+
| 0.6665 | 1.0253 | 7200 | 0.4896 | 0.3689 |
|
92 |
+
| 0.6665 | 1.0538 | 7400 | 0.4749 | 0.3687 |
|
93 |
+
| 0.5826 | 1.0823 | 7600 | 0.4684 | 0.3628 |
|
94 |
+
| 0.5826 | 1.1108 | 7800 | 0.4729 | 0.3585 |
|
95 |
+
| 0.5836 | 1.1393 | 8000 | 0.4641 | 0.3553 |
|
96 |
+
| 0.5836 | 1.1678 | 8200 | 0.4575 | 0.3530 |
|
97 |
+
| 0.5836 | 1.1962 | 8400 | 0.4585 | 0.3486 |
|
98 |
+
| 0.5199 | 1.2247 | 8600 | 0.4549 | 0.3451 |
|
99 |
+
| 0.5199 | 1.2532 | 8800 | 0.4521 | 0.3408 |
|
100 |
+
| 0.5268 | 1.2817 | 9000 | 0.4425 | 0.3395 |
|
101 |
+
| 0.5268 | 1.3102 | 9200 | 0.4407 | 0.3362 |
|
102 |
+
| 0.5268 | 1.3386 | 9400 | 0.4383 | 0.3340 |
|
103 |
+
| 0.5013 | 1.3671 | 9600 | 0.4357 | 0.3325 |
|
104 |
+
| 0.5013 | 1.3956 | 9800 | 0.4350 | 0.3317 |
|
105 |
+
| 0.5095 | 1.4241 | 10000 | 0.4345 | 0.3308 |
|
106 |
+
|
107 |
+
|
108 |
+
### Framework versions
|
109 |
+
|
110 |
+
- Transformers 4.44.0
|
111 |
+
- Pytorch 2.4.0+cu121
|
112 |
+
- Datasets 2.21.0
|
113 |
+
- Tokenizers 0.19.1
|
added_tokens.json
ADDED
@@ -0,0 +1,4 @@
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"</s>": 40,
|
3 |
+
"<s>": 39
|
4 |
+
}
|
all_results.json
ADDED
@@ -0,0 +1,15 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 1.4240956992309883,
|
3 |
+
"eval_loss": 0.43451622128486633,
|
4 |
+
"eval_runtime": 181.7486,
|
5 |
+
"eval_samples": 7022,
|
6 |
+
"eval_samples_per_second": 38.636,
|
7 |
+
"eval_steps_per_second": 0.605,
|
8 |
+
"eval_wer": 0.3308175766353526,
|
9 |
+
"total_flos": 4.5974516642218747e+18,
|
10 |
+
"train_loss": 0.7817989181518554,
|
11 |
+
"train_runtime": 11412.7197,
|
12 |
+
"train_samples": 28086,
|
13 |
+
"train_samples_per_second": 3.505,
|
14 |
+
"train_steps_per_second": 0.876
|
15 |
+
}
|
config.json
ADDED
@@ -0,0 +1,116 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "DewiBrynJones/wav2vec2-xlsr-53-ft-btb-cv-cy",
|
3 |
+
"activation_dropout": 0.0,
|
4 |
+
"adapter_attn_dim": null,
|
5 |
+
"adapter_kernel_size": 3,
|
6 |
+
"adapter_stride": 2,
|
7 |
+
"add_adapter": false,
|
8 |
+
"apply_spec_augment": true,
|
9 |
+
"architectures": [
|
10 |
+
"Wav2Vec2ForCTC"
|
11 |
+
],
|
12 |
+
"attention_dropout": 0.0,
|
13 |
+
"bos_token_id": 1,
|
14 |
+
"classifier_proj_size": 256,
|
15 |
+
"codevector_dim": 768,
|
16 |
+
"contrastive_logits_temperature": 0.1,
|
17 |
+
"conv_bias": true,
|
18 |
+
"conv_dim": [
|
19 |
+
512,
|
20 |
+
512,
|
21 |
+
512,
|
22 |
+
512,
|
23 |
+
512,
|
24 |
+
512,
|
25 |
+
512
|
26 |
+
],
|
27 |
+
"conv_kernel": [
|
28 |
+
10,
|
29 |
+
3,
|
30 |
+
3,
|
31 |
+
3,
|
32 |
+
3,
|
33 |
+
2,
|
34 |
+
2
|
35 |
+
],
|
36 |
+
"conv_stride": [
|
37 |
+
5,
|
38 |
+
2,
|
39 |
+
2,
|
40 |
+
2,
|
41 |
+
2,
|
42 |
+
2,
|
43 |
+
2
|
44 |
+
],
|
45 |
+
"ctc_loss_reduction": "mean",
|
46 |
+
"ctc_zero_infinity": false,
|
47 |
+
"diversity_loss_weight": 0.1,
|
48 |
+
"do_stable_layer_norm": true,
|
49 |
+
"eos_token_id": 2,
|
50 |
+
"feat_extract_activation": "gelu",
|
51 |
+
"feat_extract_dropout": 0.0,
|
52 |
+
"feat_extract_norm": "layer",
|
53 |
+
"feat_proj_dropout": 0.0,
|
54 |
+
"feat_quantizer_dropout": 0.0,
|
55 |
+
"final_dropout": 0.0,
|
56 |
+
"hidden_act": "gelu",
|
57 |
+
"hidden_dropout": 0.0,
|
58 |
+
"hidden_size": 1024,
|
59 |
+
"initializer_range": 0.02,
|
60 |
+
"intermediate_size": 4096,
|
61 |
+
"layer_norm_eps": 1e-05,
|
62 |
+
"layerdrop": 0.0,
|
63 |
+
"mask_channel_length": 10,
|
64 |
+
"mask_channel_min_space": 1,
|
65 |
+
"mask_channel_other": 0.0,
|
66 |
+
"mask_channel_prob": 0.0,
|
67 |
+
"mask_channel_selection": "static",
|
68 |
+
"mask_feature_length": 10,
|
69 |
+
"mask_feature_min_masks": 0,
|
70 |
+
"mask_feature_prob": 0.0,
|
71 |
+
"mask_time_length": 10,
|
72 |
+
"mask_time_min_masks": 2,
|
73 |
+
"mask_time_min_space": 1,
|
74 |
+
"mask_time_other": 0.0,
|
75 |
+
"mask_time_prob": 0.05,
|
76 |
+
"mask_time_selection": "static",
|
77 |
+
"model_type": "wav2vec2",
|
78 |
+
"num_adapter_layers": 3,
|
79 |
+
"num_attention_heads": 16,
|
80 |
+
"num_codevector_groups": 2,
|
81 |
+
"num_codevectors_per_group": 320,
|
82 |
+
"num_conv_pos_embedding_groups": 16,
|
83 |
+
"num_conv_pos_embeddings": 128,
|
84 |
+
"num_feat_extract_layers": 7,
|
85 |
+
"num_hidden_layers": 24,
|
86 |
+
"num_negatives": 100,
|
87 |
+
"output_hidden_size": 1024,
|
88 |
+
"pad_token_id": 38,
|
89 |
+
"proj_codevector_dim": 768,
|
90 |
+
"tdnn_dilation": [
|
91 |
+
1,
|
92 |
+
2,
|
93 |
+
3,
|
94 |
+
1,
|
95 |
+
1
|
96 |
+
],
|
97 |
+
"tdnn_dim": [
|
98 |
+
512,
|
99 |
+
512,
|
100 |
+
512,
|
101 |
+
512,
|
102 |
+
1500
|
103 |
+
],
|
104 |
+
"tdnn_kernel": [
|
105 |
+
5,
|
106 |
+
3,
|
107 |
+
3,
|
108 |
+
1,
|
109 |
+
1
|
110 |
+
],
|
111 |
+
"torch_dtype": "float32",
|
112 |
+
"transformers_version": "4.44.0",
|
113 |
+
"use_weighted_layer_sum": false,
|
114 |
+
"vocab_size": 41,
|
115 |
+
"xvector_output_dim": 512
|
116 |
+
}
|
eval_results.json
ADDED
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 1.4240956992309883,
|
3 |
+
"eval_loss": 0.43451622128486633,
|
4 |
+
"eval_runtime": 181.7486,
|
5 |
+
"eval_samples": 7022,
|
6 |
+
"eval_samples_per_second": 38.636,
|
7 |
+
"eval_steps_per_second": 0.605,
|
8 |
+
"eval_wer": 0.3308175766353526
|
9 |
+
}
|
model.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:d0a54e0161f75b7ead8846d36f195052c79f7b669fc041331026486465600ccf
|
3 |
+
size 1261975580
|
preprocessor_config.json
ADDED
@@ -0,0 +1,10 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"do_normalize": true,
|
3 |
+
"feature_extractor_type": "Wav2Vec2FeatureExtractor",
|
4 |
+
"feature_size": 1,
|
5 |
+
"padding_side": "right",
|
6 |
+
"padding_value": 0,
|
7 |
+
"processor_class": "Wav2Vec2Processor",
|
8 |
+
"return_attention_mask": true,
|
9 |
+
"sampling_rate": 16000
|
10 |
+
}
|
runs/Oct03_11-33-38_8523e2deba23/events.out.tfevents.1727952382.8523e2deba23.123.0
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:d4f28f7dea52411d6c02e3b527f9511d36b16f704f1c7e107786d1951243e081
|
3 |
+
size 7546
|
runs/Sep03_16-42-04_b8572a444d21/events.out.tfevents.1725378696.b8572a444d21.1168.0
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:dad500df4ec4844420ea95661beba14d0302ef5b7a684d53f43f1f7eb56d51ef
|
3 |
+
size 13087
|
runs/Sep03_16-42-04_b8572a444d21/events.out.tfevents.1725382416.b8572a444d21.1168.1
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:dac0caad51921abcdce6953097beab69e9838f8072c54cfca10c990d42752a82
|
3 |
+
size 406
|
runs/Sep04_05-40-43_1edf4a34bc24/events.out.tfevents.1725425456.1edf4a34bc24.133.0
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:4a8fee6caad4c4e627252f20a8d3eaa1afbd384a8704fc9be56e621a07785bf6
|
3 |
+
size 19123
|
runs/Sep04_05-40-43_1edf4a34bc24/events.out.tfevents.1725432731.1edf4a34bc24.133.1
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:cdf52b496077e2981c12a71bc36d4f57538b07aea5755c9720576dc951f15ca9
|
3 |
+
size 406
|
runs/Sep04_07-59-29_1edf4a34bc24/events.out.tfevents.1725433582.1edf4a34bc24.402.0
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:aba15fa65c3bef217a64800e2358eec34655c5df1af7c1899dfa297a92e49f20
|
3 |
+
size 23147
|
runs/Sep04_07-59-29_1edf4a34bc24/events.out.tfevents.1725443011.1edf4a34bc24.402.1
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:fc53259d7237cdfd8202a3f6cf4feeb4b5cecdedb1ef1d5e064c79e2c167c5c7
|
3 |
+
size 406
|
runs/Sep04_11-00-26_1edf4a34bc24/events.out.tfevents.1725444439.1edf4a34bc24.689.0
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:dd685bcabb2ffac72aeb7d4bcde83ea6e04f6b8e0ee3fdb9eee49ae3919c88e2
|
3 |
+
size 27173
|
runs/Sep04_11-00-26_1edf4a34bc24/events.out.tfevents.1725456098.1edf4a34bc24.689.1
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:a061b6ac14c2ac69ab079065661452dd9c80494b3fb57ae921fa45dc635bb337
|
3 |
+
size 406
|
special_tokens_map.json
ADDED
@@ -0,0 +1,30 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"bos_token": {
|
3 |
+
"content": "<s>",
|
4 |
+
"lstrip": false,
|
5 |
+
"normalized": false,
|
6 |
+
"rstrip": false,
|
7 |
+
"single_word": false
|
8 |
+
},
|
9 |
+
"eos_token": {
|
10 |
+
"content": "</s>",
|
11 |
+
"lstrip": false,
|
12 |
+
"normalized": false,
|
13 |
+
"rstrip": false,
|
14 |
+
"single_word": false
|
15 |
+
},
|
16 |
+
"pad_token": {
|
17 |
+
"content": "[PAD]",
|
18 |
+
"lstrip": true,
|
19 |
+
"normalized": false,
|
20 |
+
"rstrip": true,
|
21 |
+
"single_word": false
|
22 |
+
},
|
23 |
+
"unk_token": {
|
24 |
+
"content": "[UNK]",
|
25 |
+
"lstrip": true,
|
26 |
+
"normalized": false,
|
27 |
+
"rstrip": true,
|
28 |
+
"single_word": false
|
29 |
+
}
|
30 |
+
}
|
tokenizer_config.json
ADDED
@@ -0,0 +1,49 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"added_tokens_decoder": {
|
3 |
+
"37": {
|
4 |
+
"content": "[UNK]",
|
5 |
+
"lstrip": true,
|
6 |
+
"normalized": false,
|
7 |
+
"rstrip": true,
|
8 |
+
"single_word": false,
|
9 |
+
"special": false
|
10 |
+
},
|
11 |
+
"38": {
|
12 |
+
"content": "[PAD]",
|
13 |
+
"lstrip": true,
|
14 |
+
"normalized": false,
|
15 |
+
"rstrip": true,
|
16 |
+
"single_word": false,
|
17 |
+
"special": false
|
18 |
+
},
|
19 |
+
"39": {
|
20 |
+
"content": "<s>",
|
21 |
+
"lstrip": false,
|
22 |
+
"normalized": false,
|
23 |
+
"rstrip": false,
|
24 |
+
"single_word": false,
|
25 |
+
"special": true
|
26 |
+
},
|
27 |
+
"40": {
|
28 |
+
"content": "</s>",
|
29 |
+
"lstrip": false,
|
30 |
+
"normalized": false,
|
31 |
+
"rstrip": false,
|
32 |
+
"single_word": false,
|
33 |
+
"special": true
|
34 |
+
}
|
35 |
+
},
|
36 |
+
"bos_token": "<s>",
|
37 |
+
"clean_up_tokenization_spaces": true,
|
38 |
+
"do_lower_case": false,
|
39 |
+
"eos_token": "</s>",
|
40 |
+
"ignore_mismatched_sizes": true,
|
41 |
+
"model_max_length": 1000000000000000019884624838656,
|
42 |
+
"pad_token": "[PAD]",
|
43 |
+
"processor_class": "Wav2Vec2Processor",
|
44 |
+
"replace_word_delimiter_char": " ",
|
45 |
+
"target_lang": null,
|
46 |
+
"tokenizer_class": "Wav2Vec2CTCTokenizer",
|
47 |
+
"unk_token": "[UNK]",
|
48 |
+
"word_delimiter_token": "|"
|
49 |
+
}
|
train_results.json
ADDED
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 1.4240956992309883,
|
3 |
+
"total_flos": 4.5974516642218747e+18,
|
4 |
+
"train_loss": 0.7817989181518554,
|
5 |
+
"train_runtime": 11412.7197,
|
6 |
+
"train_samples": 28086,
|
7 |
+
"train_samples_per_second": 3.505,
|
8 |
+
"train_steps_per_second": 0.876
|
9 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,632 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": null,
|
3 |
+
"best_model_checkpoint": null,
|
4 |
+
"epoch": 1.4240956992309883,
|
5 |
+
"eval_steps": 200,
|
6 |
+
"global_step": 10000,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.028481913984619765,
|
13 |
+
"eval_loss": 1.2521600723266602,
|
14 |
+
"eval_runtime": 184.7297,
|
15 |
+
"eval_samples_per_second": 38.012,
|
16 |
+
"eval_steps_per_second": 0.595,
|
17 |
+
"eval_wer": 0.6291606319509959,
|
18 |
+
"step": 200
|
19 |
+
},
|
20 |
+
{
|
21 |
+
"epoch": 0.05696382796923953,
|
22 |
+
"eval_loss": 0.6599467396736145,
|
23 |
+
"eval_runtime": 185.0187,
|
24 |
+
"eval_samples_per_second": 37.953,
|
25 |
+
"eval_steps_per_second": 0.595,
|
26 |
+
"eval_wer": 0.45444398676570247,
|
27 |
+
"step": 400
|
28 |
+
},
|
29 |
+
{
|
30 |
+
"epoch": 0.07120478496154942,
|
31 |
+
"grad_norm": 18.865299224853516,
|
32 |
+
"learning_rate": 0.00014879999999999998,
|
33 |
+
"loss": 2.2791,
|
34 |
+
"step": 500
|
35 |
+
},
|
36 |
+
{
|
37 |
+
"epoch": 0.0854457419538593,
|
38 |
+
"eval_loss": 0.6628636717796326,
|
39 |
+
"eval_runtime": 185.7673,
|
40 |
+
"eval_samples_per_second": 37.8,
|
41 |
+
"eval_steps_per_second": 0.592,
|
42 |
+
"eval_wer": 0.4394557461566059,
|
43 |
+
"step": 600
|
44 |
+
},
|
45 |
+
{
|
46 |
+
"epoch": 0.11392765593847906,
|
47 |
+
"eval_loss": 0.7910040020942688,
|
48 |
+
"eval_runtime": 186.4058,
|
49 |
+
"eval_samples_per_second": 37.671,
|
50 |
+
"eval_steps_per_second": 0.59,
|
51 |
+
"eval_wer": 0.5453035517346763,
|
52 |
+
"step": 800
|
53 |
+
},
|
54 |
+
{
|
55 |
+
"epoch": 0.14240956992309883,
|
56 |
+
"grad_norm": 3.8627092838287354,
|
57 |
+
"learning_rate": 0.0002988,
|
58 |
+
"loss": 0.8206,
|
59 |
+
"step": 1000
|
60 |
+
},
|
61 |
+
{
|
62 |
+
"epoch": 0.14240956992309883,
|
63 |
+
"eval_loss": 0.7757941484451294,
|
64 |
+
"eval_runtime": 186.8087,
|
65 |
+
"eval_samples_per_second": 37.589,
|
66 |
+
"eval_steps_per_second": 0.589,
|
67 |
+
"eval_wer": 0.5701245033816553,
|
68 |
+
"step": 1000
|
69 |
+
},
|
70 |
+
{
|
71 |
+
"epoch": 0.1708914839077186,
|
72 |
+
"eval_loss": 0.802534818649292,
|
73 |
+
"eval_runtime": 187.4308,
|
74 |
+
"eval_samples_per_second": 37.464,
|
75 |
+
"eval_steps_per_second": 0.587,
|
76 |
+
"eval_wer": 0.5782564211589312,
|
77 |
+
"step": 1200
|
78 |
+
},
|
79 |
+
{
|
80 |
+
"epoch": 0.19937339789233838,
|
81 |
+
"eval_loss": 0.7715001106262207,
|
82 |
+
"eval_runtime": 187.8412,
|
83 |
+
"eval_samples_per_second": 37.383,
|
84 |
+
"eval_steps_per_second": 0.586,
|
85 |
+
"eval_wer": 0.5211336850077731,
|
86 |
+
"step": 1400
|
87 |
+
},
|
88 |
+
{
|
89 |
+
"epoch": 0.21361435488464825,
|
90 |
+
"grad_norm": 11.042049407958984,
|
91 |
+
"learning_rate": 0.00028346666666666665,
|
92 |
+
"loss": 0.9068,
|
93 |
+
"step": 1500
|
94 |
+
},
|
95 |
+
{
|
96 |
+
"epoch": 0.22785531187695812,
|
97 |
+
"eval_loss": 0.7349154949188232,
|
98 |
+
"eval_runtime": 191.6788,
|
99 |
+
"eval_samples_per_second": 36.634,
|
100 |
+
"eval_steps_per_second": 0.574,
|
101 |
+
"eval_wer": 0.512775880625573,
|
102 |
+
"step": 1600
|
103 |
+
},
|
104 |
+
{
|
105 |
+
"epoch": 0.2563372258615779,
|
106 |
+
"eval_loss": 0.7257962226867676,
|
107 |
+
"eval_runtime": 189.501,
|
108 |
+
"eval_samples_per_second": 37.055,
|
109 |
+
"eval_steps_per_second": 0.58,
|
110 |
+
"eval_wer": 0.5152473458323922,
|
111 |
+
"step": 1800
|
112 |
+
},
|
113 |
+
{
|
114 |
+
"epoch": 0.28481913984619767,
|
115 |
+
"grad_norm": 6.190296649932861,
|
116 |
+
"learning_rate": 0.0002668,
|
117 |
+
"loss": 0.8679,
|
118 |
+
"step": 2000
|
119 |
+
},
|
120 |
+
{
|
121 |
+
"epoch": 0.28481913984619767,
|
122 |
+
"eval_loss": 0.7084089517593384,
|
123 |
+
"eval_runtime": 188.267,
|
124 |
+
"eval_samples_per_second": 37.298,
|
125 |
+
"eval_steps_per_second": 0.584,
|
126 |
+
"eval_wer": 0.5216386080070158,
|
127 |
+
"step": 2000
|
128 |
+
},
|
129 |
+
{
|
130 |
+
"epoch": 0.3133010538308174,
|
131 |
+
"eval_loss": 0.6904259324073792,
|
132 |
+
"eval_runtime": 188.556,
|
133 |
+
"eval_samples_per_second": 37.241,
|
134 |
+
"eval_steps_per_second": 0.583,
|
135 |
+
"eval_wer": 0.5014151131426142,
|
136 |
+
"step": 2200
|
137 |
+
},
|
138 |
+
{
|
139 |
+
"epoch": 0.3417829678154372,
|
140 |
+
"eval_loss": 0.6992842555046082,
|
141 |
+
"eval_runtime": 189.0868,
|
142 |
+
"eval_samples_per_second": 37.136,
|
143 |
+
"eval_steps_per_second": 0.582,
|
144 |
+
"eval_wer": 0.5177586733812567,
|
145 |
+
"step": 2400
|
146 |
+
},
|
147 |
+
{
|
148 |
+
"epoch": 0.3560239248077471,
|
149 |
+
"grad_norm": 4.8257222175598145,
|
150 |
+
"learning_rate": 0.0002501333333333333,
|
151 |
+
"loss": 0.8577,
|
152 |
+
"step": 2500
|
153 |
+
},
|
154 |
+
{
|
155 |
+
"epoch": 0.37026488180005696,
|
156 |
+
"eval_loss": 0.6746060848236084,
|
157 |
+
"eval_runtime": 190.1492,
|
158 |
+
"eval_samples_per_second": 36.929,
|
159 |
+
"eval_steps_per_second": 0.578,
|
160 |
+
"eval_wer": 0.48673248382253287,
|
161 |
+
"step": 2600
|
162 |
+
},
|
163 |
+
{
|
164 |
+
"epoch": 0.39874679578467676,
|
165 |
+
"eval_loss": 0.6621994972229004,
|
166 |
+
"eval_runtime": 189.6459,
|
167 |
+
"eval_samples_per_second": 37.027,
|
168 |
+
"eval_steps_per_second": 0.58,
|
169 |
+
"eval_wer": 0.4962595835714001,
|
170 |
+
"step": 2800
|
171 |
+
},
|
172 |
+
{
|
173 |
+
"epoch": 0.4272287097692965,
|
174 |
+
"grad_norm": 3.6695899963378906,
|
175 |
+
"learning_rate": 0.00023346666666666666,
|
176 |
+
"loss": 0.7995,
|
177 |
+
"step": 3000
|
178 |
+
},
|
179 |
+
{
|
180 |
+
"epoch": 0.4272287097692965,
|
181 |
+
"eval_loss": 0.6793097853660583,
|
182 |
+
"eval_runtime": 188.7722,
|
183 |
+
"eval_samples_per_second": 37.198,
|
184 |
+
"eval_steps_per_second": 0.583,
|
185 |
+
"eval_wer": 0.49348250707556574,
|
186 |
+
"step": 3000
|
187 |
+
},
|
188 |
+
{
|
189 |
+
"epoch": 0.45571062375391624,
|
190 |
+
"eval_loss": 0.6368467211723328,
|
191 |
+
"eval_runtime": 188.0679,
|
192 |
+
"eval_samples_per_second": 37.338,
|
193 |
+
"eval_steps_per_second": 0.585,
|
194 |
+
"eval_wer": 0.47005673740017806,
|
195 |
+
"step": 3200
|
196 |
+
},
|
197 |
+
{
|
198 |
+
"epoch": 0.48419253773853604,
|
199 |
+
"eval_loss": 0.6363435387611389,
|
200 |
+
"eval_runtime": 188.2666,
|
201 |
+
"eval_samples_per_second": 37.298,
|
202 |
+
"eval_steps_per_second": 0.584,
|
203 |
+
"eval_wer": 0.478055780703969,
|
204 |
+
"step": 3400
|
205 |
+
},
|
206 |
+
{
|
207 |
+
"epoch": 0.4984334947308459,
|
208 |
+
"grad_norm": 3.4502739906311035,
|
209 |
+
"learning_rate": 0.0002168333333333333,
|
210 |
+
"loss": 0.8141,
|
211 |
+
"step": 3500
|
212 |
+
},
|
213 |
+
{
|
214 |
+
"epoch": 0.5126744517231558,
|
215 |
+
"eval_loss": 0.6217373609542847,
|
216 |
+
"eval_runtime": 187.6755,
|
217 |
+
"eval_samples_per_second": 37.416,
|
218 |
+
"eval_steps_per_second": 0.586,
|
219 |
+
"eval_wer": 0.46555229274904,
|
220 |
+
"step": 3600
|
221 |
+
},
|
222 |
+
{
|
223 |
+
"epoch": 0.5411563657077756,
|
224 |
+
"eval_loss": 0.641762912273407,
|
225 |
+
"eval_runtime": 186.9231,
|
226 |
+
"eval_samples_per_second": 37.566,
|
227 |
+
"eval_steps_per_second": 0.588,
|
228 |
+
"eval_wer": 0.4940140049695053,
|
229 |
+
"step": 3800
|
230 |
+
},
|
231 |
+
{
|
232 |
+
"epoch": 0.5696382796923953,
|
233 |
+
"grad_norm": 5.877405643463135,
|
234 |
+
"learning_rate": 0.00020016666666666666,
|
235 |
+
"loss": 0.7953,
|
236 |
+
"step": 4000
|
237 |
+
},
|
238 |
+
{
|
239 |
+
"epoch": 0.5696382796923953,
|
240 |
+
"eval_loss": 0.6017736196517944,
|
241 |
+
"eval_runtime": 182.787,
|
242 |
+
"eval_samples_per_second": 38.416,
|
243 |
+
"eval_steps_per_second": 0.602,
|
244 |
+
"eval_wer": 0.4542313876081266,
|
245 |
+
"step": 4000
|
246 |
+
},
|
247 |
+
{
|
248 |
+
"epoch": 0.5981201936770151,
|
249 |
+
"eval_loss": 0.5962206721305847,
|
250 |
+
"eval_runtime": 183.0007,
|
251 |
+
"eval_samples_per_second": 38.371,
|
252 |
+
"eval_steps_per_second": 0.601,
|
253 |
+
"eval_wer": 0.4580315975497947,
|
254 |
+
"step": 4200
|
255 |
+
},
|
256 |
+
{
|
257 |
+
"epoch": 0.6266021076616348,
|
258 |
+
"eval_loss": 0.5883399844169617,
|
259 |
+
"eval_runtime": 182.7298,
|
260 |
+
"eval_samples_per_second": 38.428,
|
261 |
+
"eval_steps_per_second": 0.602,
|
262 |
+
"eval_wer": 0.44590015812062345,
|
263 |
+
"step": 4400
|
264 |
+
},
|
265 |
+
{
|
266 |
+
"epoch": 0.6408430646539447,
|
267 |
+
"grad_norm": 3.615546226501465,
|
268 |
+
"learning_rate": 0.0001835333333333333,
|
269 |
+
"loss": 0.7596,
|
270 |
+
"step": 4500
|
271 |
+
},
|
272 |
+
{
|
273 |
+
"epoch": 0.6550840216462547,
|
274 |
+
"eval_loss": 0.578825056552887,
|
275 |
+
"eval_runtime": 183.3674,
|
276 |
+
"eval_samples_per_second": 38.295,
|
277 |
+
"eval_steps_per_second": 0.6,
|
278 |
+
"eval_wer": 0.43253298608804264,
|
279 |
+
"step": 4600
|
280 |
+
},
|
281 |
+
{
|
282 |
+
"epoch": 0.6835659356308744,
|
283 |
+
"eval_loss": 0.5708740949630737,
|
284 |
+
"eval_runtime": 182.6951,
|
285 |
+
"eval_samples_per_second": 38.436,
|
286 |
+
"eval_steps_per_second": 0.602,
|
287 |
+
"eval_wer": 0.4412362641013035,
|
288 |
+
"step": 4800
|
289 |
+
},
|
290 |
+
{
|
291 |
+
"epoch": 0.7120478496154942,
|
292 |
+
"grad_norm": 4.345168590545654,
|
293 |
+
"learning_rate": 0.0001669,
|
294 |
+
"loss": 0.7533,
|
295 |
+
"step": 5000
|
296 |
+
},
|
297 |
+
{
|
298 |
+
"epoch": 0.7120478496154942,
|
299 |
+
"eval_loss": 0.5594890117645264,
|
300 |
+
"eval_runtime": 182.5857,
|
301 |
+
"eval_samples_per_second": 38.459,
|
302 |
+
"eval_steps_per_second": 0.602,
|
303 |
+
"eval_wer": 0.4352170504524376,
|
304 |
+
"step": 5000
|
305 |
+
},
|
306 |
+
{
|
307 |
+
"epoch": 0.7405297636001139,
|
308 |
+
"eval_loss": 0.5545539259910583,
|
309 |
+
"eval_runtime": 182.2233,
|
310 |
+
"eval_samples_per_second": 38.535,
|
311 |
+
"eval_steps_per_second": 0.604,
|
312 |
+
"eval_wer": 0.4231786231547057,
|
313 |
+
"step": 5200
|
314 |
+
},
|
315 |
+
{
|
316 |
+
"epoch": 0.7690116775847337,
|
317 |
+
"eval_loss": 0.5545418858528137,
|
318 |
+
"eval_runtime": 182.2691,
|
319 |
+
"eval_samples_per_second": 38.525,
|
320 |
+
"eval_steps_per_second": 0.604,
|
321 |
+
"eval_wer": 0.4244276432054638,
|
322 |
+
"step": 5400
|
323 |
+
},
|
324 |
+
{
|
325 |
+
"epoch": 0.7832526345770435,
|
326 |
+
"grad_norm": 9.471431732177734,
|
327 |
+
"learning_rate": 0.00015026666666666667,
|
328 |
+
"loss": 0.7591,
|
329 |
+
"step": 5500
|
330 |
+
},
|
331 |
+
{
|
332 |
+
"epoch": 0.7974935915693535,
|
333 |
+
"eval_loss": 0.5442594885826111,
|
334 |
+
"eval_runtime": 182.3947,
|
335 |
+
"eval_samples_per_second": 38.499,
|
336 |
+
"eval_steps_per_second": 0.603,
|
337 |
+
"eval_wer": 0.4076455972043211,
|
338 |
+
"step": 5600
|
339 |
+
},
|
340 |
+
{
|
341 |
+
"epoch": 0.8259755055539733,
|
342 |
+
"eval_loss": 0.5341240763664246,
|
343 |
+
"eval_runtime": 182.0603,
|
344 |
+
"eval_samples_per_second": 38.57,
|
345 |
+
"eval_steps_per_second": 0.604,
|
346 |
+
"eval_wer": 0.41462150706227824,
|
347 |
+
"step": 5800
|
348 |
+
},
|
349 |
+
{
|
350 |
+
"epoch": 0.854457419538593,
|
351 |
+
"grad_norm": 4.406210422515869,
|
352 |
+
"learning_rate": 0.00013363333333333332,
|
353 |
+
"loss": 0.6621,
|
354 |
+
"step": 6000
|
355 |
+
},
|
356 |
+
{
|
357 |
+
"epoch": 0.854457419538593,
|
358 |
+
"eval_loss": 0.5104002952575684,
|
359 |
+
"eval_runtime": 181.8706,
|
360 |
+
"eval_samples_per_second": 38.61,
|
361 |
+
"eval_steps_per_second": 0.605,
|
362 |
+
"eval_wer": 0.3955141577751498,
|
363 |
+
"step": 6000
|
364 |
+
},
|
365 |
+
{
|
366 |
+
"epoch": 0.8829393335232127,
|
367 |
+
"eval_loss": 0.5139421820640564,
|
368 |
+
"eval_runtime": 181.902,
|
369 |
+
"eval_samples_per_second": 38.603,
|
370 |
+
"eval_steps_per_second": 0.605,
|
371 |
+
"eval_wer": 0.40112146055621256,
|
372 |
+
"step": 6200
|
373 |
+
},
|
374 |
+
{
|
375 |
+
"epoch": 0.9114212475078325,
|
376 |
+
"eval_loss": 0.5044221878051758,
|
377 |
+
"eval_runtime": 181.9538,
|
378 |
+
"eval_samples_per_second": 38.592,
|
379 |
+
"eval_steps_per_second": 0.605,
|
380 |
+
"eval_wer": 0.38039304269256835,
|
381 |
+
"step": 6400
|
382 |
+
},
|
383 |
+
{
|
384 |
+
"epoch": 0.9256622045001424,
|
385 |
+
"grad_norm": 8.09687328338623,
|
386 |
+
"learning_rate": 0.000117,
|
387 |
+
"loss": 0.6705,
|
388 |
+
"step": 6500
|
389 |
+
},
|
390 |
+
{
|
391 |
+
"epoch": 0.9399031614924523,
|
392 |
+
"eval_loss": 0.49985769391059875,
|
393 |
+
"eval_runtime": 182.1414,
|
394 |
+
"eval_samples_per_second": 38.552,
|
395 |
+
"eval_steps_per_second": 0.604,
|
396 |
+
"eval_wer": 0.3896012437050718,
|
397 |
+
"step": 6600
|
398 |
+
},
|
399 |
+
{
|
400 |
+
"epoch": 0.9683850754770721,
|
401 |
+
"eval_loss": 0.5097447037696838,
|
402 |
+
"eval_runtime": 181.5418,
|
403 |
+
"eval_samples_per_second": 38.68,
|
404 |
+
"eval_steps_per_second": 0.606,
|
405 |
+
"eval_wer": 0.4052804315762899,
|
406 |
+
"step": 6800
|
407 |
+
},
|
408 |
+
{
|
409 |
+
"epoch": 0.9968669894616918,
|
410 |
+
"grad_norm": 4.639442443847656,
|
411 |
+
"learning_rate": 0.00010033333333333332,
|
412 |
+
"loss": 0.6665,
|
413 |
+
"step": 7000
|
414 |
+
},
|
415 |
+
{
|
416 |
+
"epoch": 0.9968669894616918,
|
417 |
+
"eval_loss": 0.49253013730049133,
|
418 |
+
"eval_runtime": 181.6405,
|
419 |
+
"eval_samples_per_second": 38.659,
|
420 |
+
"eval_steps_per_second": 0.606,
|
421 |
+
"eval_wer": 0.3784796502743858,
|
422 |
+
"step": 7000
|
423 |
+
},
|
424 |
+
{
|
425 |
+
"epoch": 1.0253489034463117,
|
426 |
+
"eval_loss": 0.4896470010280609,
|
427 |
+
"eval_runtime": 181.3934,
|
428 |
+
"eval_samples_per_second": 38.711,
|
429 |
+
"eval_steps_per_second": 0.606,
|
430 |
+
"eval_wer": 0.3688728258414276,
|
431 |
+
"step": 7200
|
432 |
+
},
|
433 |
+
{
|
434 |
+
"epoch": 1.0538308174309314,
|
435 |
+
"eval_loss": 0.47494611144065857,
|
436 |
+
"eval_runtime": 181.7386,
|
437 |
+
"eval_samples_per_second": 38.638,
|
438 |
+
"eval_steps_per_second": 0.605,
|
439 |
+
"eval_wer": 0.3687399513679427,
|
440 |
+
"step": 7400
|
441 |
+
},
|
442 |
+
{
|
443 |
+
"epoch": 1.0680717744232413,
|
444 |
+
"grad_norm": 0.6623511910438538,
|
445 |
+
"learning_rate": 8.366666666666666e-05,
|
446 |
+
"loss": 0.5826,
|
447 |
+
"step": 7500
|
448 |
+
},
|
449 |
+
{
|
450 |
+
"epoch": 1.0823127314155512,
|
451 |
+
"eval_loss": 0.4684299826622009,
|
452 |
+
"eval_runtime": 182.4026,
|
453 |
+
"eval_samples_per_second": 38.497,
|
454 |
+
"eval_steps_per_second": 0.603,
|
455 |
+
"eval_wer": 0.3628004624031677,
|
456 |
+
"step": 7600
|
457 |
+
},
|
458 |
+
{
|
459 |
+
"epoch": 1.110794645400171,
|
460 |
+
"eval_loss": 0.47290024161338806,
|
461 |
+
"eval_runtime": 182.1043,
|
462 |
+
"eval_samples_per_second": 38.56,
|
463 |
+
"eval_steps_per_second": 0.604,
|
464 |
+
"eval_wer": 0.358495329462257,
|
465 |
+
"step": 7800
|
466 |
+
},
|
467 |
+
{
|
468 |
+
"epoch": 1.1392765593847907,
|
469 |
+
"grad_norm": 2.393817186355591,
|
470 |
+
"learning_rate": 6.699999999999999e-05,
|
471 |
+
"loss": 0.5836,
|
472 |
+
"step": 8000
|
473 |
+
},
|
474 |
+
{
|
475 |
+
"epoch": 1.1392765593847907,
|
476 |
+
"eval_loss": 0.46409761905670166,
|
477 |
+
"eval_runtime": 181.7327,
|
478 |
+
"eval_samples_per_second": 38.639,
|
479 |
+
"eval_steps_per_second": 0.605,
|
480 |
+
"eval_wer": 0.3553196295459679,
|
481 |
+
"step": 8000
|
482 |
+
},
|
483 |
+
{
|
484 |
+
"epoch": 1.1677584733694104,
|
485 |
+
"eval_loss": 0.45749881863594055,
|
486 |
+
"eval_runtime": 181.5866,
|
487 |
+
"eval_samples_per_second": 38.67,
|
488 |
+
"eval_steps_per_second": 0.606,
|
489 |
+
"eval_wer": 0.3529810388126337,
|
490 |
+
"step": 8200
|
491 |
+
},
|
492 |
+
{
|
493 |
+
"epoch": 1.1962403873540302,
|
494 |
+
"eval_loss": 0.45851147174835205,
|
495 |
+
"eval_runtime": 181.5801,
|
496 |
+
"eval_samples_per_second": 38.672,
|
497 |
+
"eval_steps_per_second": 0.606,
|
498 |
+
"eval_wer": 0.3485563188455866,
|
499 |
+
"step": 8400
|
500 |
+
},
|
501 |
+
{
|
502 |
+
"epoch": 1.21048134434634,
|
503 |
+
"grad_norm": 1.9676859378814697,
|
504 |
+
"learning_rate": 5.033333333333333e-05,
|
505 |
+
"loss": 0.5199,
|
506 |
+
"step": 8500
|
507 |
+
},
|
508 |
+
{
|
509 |
+
"epoch": 1.22472230133865,
|
510 |
+
"eval_loss": 0.4548875391483307,
|
511 |
+
"eval_runtime": 182.6274,
|
512 |
+
"eval_samples_per_second": 38.45,
|
513 |
+
"eval_steps_per_second": 0.602,
|
514 |
+
"eval_wer": 0.3450750076402822,
|
515 |
+
"step": 8600
|
516 |
+
},
|
517 |
+
{
|
518 |
+
"epoch": 1.2532042153232696,
|
519 |
+
"eval_loss": 0.4520675539970398,
|
520 |
+
"eval_runtime": 182.8881,
|
521 |
+
"eval_samples_per_second": 38.395,
|
522 |
+
"eval_steps_per_second": 0.601,
|
523 |
+
"eval_wer": 0.34082302448876545,
|
524 |
+
"step": 8800
|
525 |
+
},
|
526 |
+
{
|
527 |
+
"epoch": 1.2816861293078894,
|
528 |
+
"grad_norm": 1.1400251388549805,
|
529 |
+
"learning_rate": 3.373333333333333e-05,
|
530 |
+
"loss": 0.5268,
|
531 |
+
"step": 9000
|
532 |
+
},
|
533 |
+
{
|
534 |
+
"epoch": 1.2816861293078894,
|
535 |
+
"eval_loss": 0.44252264499664307,
|
536 |
+
"eval_runtime": 182.3349,
|
537 |
+
"eval_samples_per_second": 38.512,
|
538 |
+
"eval_steps_per_second": 0.603,
|
539 |
+
"eval_wer": 0.33950756720126496,
|
540 |
+
"step": 9000
|
541 |
+
},
|
542 |
+
{
|
543 |
+
"epoch": 1.3101680432925091,
|
544 |
+
"eval_loss": 0.44072064757347107,
|
545 |
+
"eval_runtime": 184.1579,
|
546 |
+
"eval_samples_per_second": 38.13,
|
547 |
+
"eval_steps_per_second": 0.597,
|
548 |
+
"eval_wer": 0.3361857053641425,
|
549 |
+
"step": 9200
|
550 |
+
},
|
551 |
+
{
|
552 |
+
"epoch": 1.338649957277129,
|
553 |
+
"eval_loss": 0.4383063018321991,
|
554 |
+
"eval_runtime": 181.6966,
|
555 |
+
"eval_samples_per_second": 38.647,
|
556 |
+
"eval_steps_per_second": 0.605,
|
557 |
+
"eval_wer": 0.33397998910429316,
|
558 |
+
"step": 9400
|
559 |
+
},
|
560 |
+
{
|
561 |
+
"epoch": 1.352890914269439,
|
562 |
+
"grad_norm": 1.0755033493041992,
|
563 |
+
"learning_rate": 1.71e-05,
|
564 |
+
"loss": 0.5013,
|
565 |
+
"step": 9500
|
566 |
+
},
|
567 |
+
{
|
568 |
+
"epoch": 1.3671318712617488,
|
569 |
+
"eval_loss": 0.4356846809387207,
|
570 |
+
"eval_runtime": 183.1225,
|
571 |
+
"eval_samples_per_second": 38.346,
|
572 |
+
"eval_steps_per_second": 0.601,
|
573 |
+
"eval_wer": 0.33253165734330775,
|
574 |
+
"step": 9600
|
575 |
+
},
|
576 |
+
{
|
577 |
+
"epoch": 1.3956137852463686,
|
578 |
+
"eval_loss": 0.43495818972587585,
|
579 |
+
"eval_runtime": 182.2639,
|
580 |
+
"eval_samples_per_second": 38.527,
|
581 |
+
"eval_steps_per_second": 0.604,
|
582 |
+
"eval_wer": 0.3316812607130044,
|
583 |
+
"step": 9800
|
584 |
+
},
|
585 |
+
{
|
586 |
+
"epoch": 1.4240956992309883,
|
587 |
+
"grad_norm": 1.6312005519866943,
|
588 |
+
"learning_rate": 4.666666666666666e-07,
|
589 |
+
"loss": 0.5095,
|
590 |
+
"step": 10000
|
591 |
+
},
|
592 |
+
{
|
593 |
+
"epoch": 1.4240956992309883,
|
594 |
+
"eval_loss": 0.43451622128486633,
|
595 |
+
"eval_runtime": 182.2078,
|
596 |
+
"eval_samples_per_second": 38.538,
|
597 |
+
"eval_steps_per_second": 0.604,
|
598 |
+
"eval_wer": 0.3308175766353526,
|
599 |
+
"step": 10000
|
600 |
+
},
|
601 |
+
{
|
602 |
+
"epoch": 1.4240956992309883,
|
603 |
+
"step": 10000,
|
604 |
+
"total_flos": 4.5974516642218747e+18,
|
605 |
+
"train_loss": 0.7817989181518554,
|
606 |
+
"train_runtime": 11412.7197,
|
607 |
+
"train_samples_per_second": 3.505,
|
608 |
+
"train_steps_per_second": 0.876
|
609 |
+
}
|
610 |
+
],
|
611 |
+
"logging_steps": 500,
|
612 |
+
"max_steps": 10000,
|
613 |
+
"num_input_tokens_seen": 0,
|
614 |
+
"num_train_epochs": 2,
|
615 |
+
"save_steps": 500,
|
616 |
+
"stateful_callbacks": {
|
617 |
+
"TrainerControl": {
|
618 |
+
"args": {
|
619 |
+
"should_epoch_stop": false,
|
620 |
+
"should_evaluate": false,
|
621 |
+
"should_log": false,
|
622 |
+
"should_save": true,
|
623 |
+
"should_training_stop": true
|
624 |
+
},
|
625 |
+
"attributes": {}
|
626 |
+
}
|
627 |
+
},
|
628 |
+
"total_flos": 4.5974516642218747e+18,
|
629 |
+
"train_batch_size": 4,
|
630 |
+
"trial_name": null,
|
631 |
+
"trial_params": null
|
632 |
+
}
|
training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:e183f9ab41aed1b52323bc958717f498296854c1b52e5d7e0c1e755ec58fb680
|
3 |
+
size 5240
|
vocab.json
ADDED
@@ -0,0 +1,41 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"'": 1,
|
3 |
+
"-": 2,
|
4 |
+
"[PAD]": 38,
|
5 |
+
"[UNK]": 37,
|
6 |
+
"a": 3,
|
7 |
+
"b": 4,
|
8 |
+
"c": 5,
|
9 |
+
"d": 6,
|
10 |
+
"e": 7,
|
11 |
+
"f": 8,
|
12 |
+
"g": 9,
|
13 |
+
"h": 10,
|
14 |
+
"i": 11,
|
15 |
+
"j": 12,
|
16 |
+
"k": 13,
|
17 |
+
"l": 14,
|
18 |
+
"m": 15,
|
19 |
+
"n": 16,
|
20 |
+
"o": 17,
|
21 |
+
"p": 18,
|
22 |
+
"q": 19,
|
23 |
+
"r": 20,
|
24 |
+
"s": 21,
|
25 |
+
"t": 22,
|
26 |
+
"u": 23,
|
27 |
+
"v": 24,
|
28 |
+
"w": 25,
|
29 |
+
"x": 26,
|
30 |
+
"y": 27,
|
31 |
+
"z": 28,
|
32 |
+
"|": 0,
|
33 |
+
"â": 29,
|
34 |
+
"ä": 30,
|
35 |
+
"ê": 31,
|
36 |
+
"î": 32,
|
37 |
+
"ï": 33,
|
38 |
+
"ô": 34,
|
39 |
+
"ŵ": 35,
|
40 |
+
"ŷ": 36
|
41 |
+
}
|