SpeechResearch/wtimit-base-normal-all-nofreeze
Browse files- README.md +199 -0
- config.json +118 -0
- model.safetensors +3 -0
- preprocessor_config.json +9 -0
- training_args.bin +3 -0
README.md
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| 1 |
+
---
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| 2 |
+
license: apache-2.0
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| 3 |
+
base_model: facebook/wav2vec2-base
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| 4 |
+
tags:
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| 5 |
+
- generated_from_trainer
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| 6 |
+
datasets:
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- wtimit_asr
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| 8 |
+
metrics:
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| 9 |
+
- wer
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| 10 |
+
model-index:
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| 11 |
+
- name: wtimit-base-normal-all-nofreeze
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| 12 |
+
results:
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| 13 |
+
- task:
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name: Automatic Speech Recognition
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type: automatic-speech-recognition
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dataset:
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name: wtimit_asr
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| 18 |
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type: wtimit_asr
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config: clean
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split: None
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args: clean
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metrics:
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- name: Wer
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type: wer
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| 25 |
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value: 0.09987953700309014
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| 26 |
+
---
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| 27 |
+
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| 28 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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| 29 |
+
should probably proofread and complete it, then remove this comment. -->
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| 30 |
+
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| 31 |
+
# wtimit-base-normal-all-nofreeze
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| 32 |
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| 33 |
+
This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the wtimit_asr dataset.
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| 34 |
+
It achieves the following results on the evaluation set:
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| 35 |
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- Loss: 0.3190
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| 36 |
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- Wer: 0.0999
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| 37 |
+
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| 38 |
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## Model description
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| 39 |
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More information needed
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| 41 |
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## Intended uses & limitations
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| 43 |
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| 44 |
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More information needed
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| 45 |
+
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| 46 |
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## Training and evaluation data
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| 47 |
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| 48 |
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More information needed
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| 49 |
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| 50 |
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## Training procedure
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| 51 |
+
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| 52 |
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### Training hyperparameters
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| 53 |
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| 54 |
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The following hyperparameters were used during training:
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| 55 |
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- learning_rate: 0.0001
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| 56 |
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- train_batch_size: 8
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| 57 |
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- eval_batch_size: 8
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| 58 |
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- seed: 42
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| 59 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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| 60 |
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- lr_scheduler_type: linear
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| 61 |
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- lr_scheduler_warmup_steps: 1000
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| 62 |
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- num_epochs: 50
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| 63 |
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- mixed_precision_training: Native AMP
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| 64 |
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| 65 |
+
### Training results
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| 66 |
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| 67 |
+
| Training Loss | Epoch | Step | Validation Loss | Wer |
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| 68 |
+
|:-------------:|:-----:|:------:|:---------------:|:------:|
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| 69 |
+
| 1.5076 | 0.4 | 1000 | 1.1220 | 0.6793 |
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| 70 |
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| 0.4102 | 0.81 | 2000 | 0.7851 | 0.4338 |
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| 71 |
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| 0.2278 | 1.21 | 3000 | 0.6897 | 0.3203 |
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| 72 |
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| 0.1723 | 1.61 | 4000 | 0.5668 | 0.2890 |
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| 73 |
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| 0.1407 | 2.02 | 5000 | 0.4399 | 0.2362 |
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| 74 |
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| 0.117 | 2.42 | 6000 | 0.4853 | 0.2508 |
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| 75 |
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| 0.098 | 2.83 | 7000 | 0.6732 | 0.2871 |
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| 76 |
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| 0.0862 | 3.23 | 8000 | 0.5802 | 0.2680 |
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| 77 |
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| 0.0806 | 3.63 | 9000 | 0.4730 | 0.2488 |
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| 78 |
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| 0.0706 | 4.04 | 10000 | 0.4001 | 0.1953 |
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| 79 |
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| 0.061 | 4.44 | 11000 | 0.4108 | 0.1971 |
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| 80 |
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| 0.063 | 4.84 | 12000 | 0.4544 | 0.2056 |
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| 81 |
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| 0.0527 | 5.25 | 13000 | 0.4235 | 0.1938 |
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| 82 |
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| 0.049 | 5.65 | 14000 | 0.4375 | 0.2054 |
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| 83 |
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| 0.0489 | 6.06 | 15000 | 0.5451 | 0.2522 |
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| 84 |
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| 0.0473 | 6.46 | 16000 | 0.3939 | 0.1868 |
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| 85 |
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| 0.0442 | 6.86 | 17000 | 0.5662 | 0.2548 |
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| 86 |
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| 0.0428 | 7.27 | 18000 | 0.6695 | 0.2755 |
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| 87 |
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| 0.0379 | 7.67 | 19000 | 0.3929 | 0.1947 |
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| 88 |
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| 0.0398 | 8.07 | 20000 | 0.4446 | 0.2066 |
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| 89 |
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| 0.0336 | 8.48 | 21000 | 0.5409 | 0.2260 |
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| 90 |
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| 0.0316 | 8.88 | 22000 | 0.3819 | 0.1715 |
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| 91 |
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| 0.0322 | 9.29 | 23000 | 0.3861 | 0.1711 |
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| 92 |
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| 0.0352 | 9.69 | 24000 | 0.4063 | 0.1728 |
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| 93 |
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| 0.0315 | 10.09 | 25000 | 0.4992 | 0.2146 |
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| 94 |
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| 0.0254 | 10.5 | 26000 | 0.5838 | 0.2158 |
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| 95 |
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| 0.0243 | 10.9 | 27000 | 0.3458 | 0.1523 |
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| 96 |
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| 0.0245 | 11.3 | 28000 | 0.5121 | 0.1953 |
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| 97 |
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| 0.0231 | 11.71 | 29000 | 0.3773 | 0.1616 |
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| 98 |
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| 0.0202 | 12.11 | 30000 | 0.4110 | 0.1715 |
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| 99 |
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| 0.0261 | 12.52 | 31000 | 0.5376 | 0.2116 |
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| 100 |
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| 0.0243 | 12.92 | 32000 | 0.4066 | 0.1569 |
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| 101 |
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| 0.0201 | 13.32 | 33000 | 0.5944 | 0.2276 |
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| 102 |
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| 0.0211 | 13.73 | 34000 | 0.4670 | 0.1997 |
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| 103 |
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| 0.0249 | 14.13 | 35000 | 0.5521 | 0.2254 |
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| 104 |
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| 0.021 | 14.53 | 36000 | 0.4602 | 0.2061 |
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| 105 |
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| 0.0169 | 14.94 | 37000 | 0.4870 | 0.1690 |
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| 106 |
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| 0.0184 | 15.34 | 38000 | 0.6038 | 0.2208 |
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| 107 |
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| 0.0207 | 15.74 | 39000 | 0.5266 | 0.2068 |
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| 108 |
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| 0.0209 | 16.15 | 40000 | 0.5197 | 0.2083 |
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| 109 |
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| 0.0175 | 16.55 | 41000 | 0.5074 | 0.1927 |
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| 110 |
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| 0.0164 | 16.96 | 42000 | 0.4594 | 0.1615 |
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| 111 |
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| 0.0164 | 17.36 | 43000 | 0.2956 | 0.1151 |
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| 112 |
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| 0.0142 | 17.76 | 44000 | 0.3834 | 0.1580 |
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| 113 |
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| 0.0139 | 18.17 | 45000 | 0.5316 | 0.2175 |
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| 114 |
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| 0.0181 | 18.57 | 46000 | 0.5226 | 0.1890 |
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| 115 |
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| 0.0159 | 18.97 | 47000 | 0.4914 | 0.1689 |
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| 116 |
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| 0.0127 | 19.38 | 48000 | 0.5454 | 0.1957 |
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| 117 |
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| 0.0136 | 19.78 | 49000 | 0.5530 | 0.2172 |
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| 118 |
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| 0.0129 | 20.19 | 50000 | 0.6980 | 0.2636 |
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| 119 |
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| 0.0131 | 20.59 | 51000 | 0.3984 | 0.1379 |
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| 120 |
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| 0.0123 | 20.99 | 52000 | 0.4925 | 0.1843 |
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| 121 |
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| 0.0095 | 21.4 | 53000 | 0.5367 | 0.1931 |
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| 122 |
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| 0.0124 | 21.8 | 54000 | 0.4299 | 0.1763 |
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| 123 |
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| 0.0115 | 22.2 | 55000 | 0.4797 | 0.1803 |
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| 124 |
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| 0.0136 | 22.61 | 56000 | 0.6638 | 0.2300 |
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| 125 |
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| 0.0121 | 23.01 | 57000 | 0.4292 | 0.1530 |
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| 126 |
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| 0.0097 | 23.42 | 58000 | 0.4064 | 0.1520 |
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| 127 |
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| 0.0143 | 23.82 | 59000 | 0.4691 | 0.1771 |
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| 128 |
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| 0.0092 | 24.22 | 60000 | 0.5134 | 0.2009 |
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| 129 |
+
| 0.0097 | 24.63 | 61000 | 0.6165 | 0.2281 |
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| 130 |
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| 0.0078 | 25.03 | 62000 | 0.4828 | 0.1863 |
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| 131 |
+
| 0.0114 | 25.43 | 63000 | 0.4817 | 0.1868 |
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| 132 |
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| 0.0089 | 25.84 | 64000 | 0.5137 | 0.2003 |
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| 133 |
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| 0.0083 | 26.24 | 65000 | 0.4194 | 0.1524 |
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| 134 |
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| 0.01 | 26.65 | 66000 | 0.3416 | 0.1332 |
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| 135 |
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| 0.0102 | 27.05 | 67000 | 0.3834 | 0.1475 |
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| 136 |
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| 0.0076 | 27.45 | 68000 | 0.3390 | 0.1277 |
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| 137 |
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| 0.0085 | 27.86 | 69000 | 0.4708 | 0.1843 |
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| 138 |
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| 0.0074 | 28.26 | 70000 | 0.4434 | 0.1530 |
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| 139 |
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| 0.0078 | 28.66 | 71000 | 0.2942 | 0.1104 |
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| 140 |
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| 0.0075 | 29.07 | 72000 | 0.3623 | 0.1442 |
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| 141 |
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| 0.0066 | 29.47 | 73000 | 0.4709 | 0.1547 |
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| 142 |
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| 0.0073 | 29.87 | 74000 | 0.5198 | 0.1750 |
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| 143 |
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| 0.0056 | 30.28 | 75000 | 0.3083 | 0.1211 |
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| 144 |
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| 0.0066 | 30.68 | 76000 | 0.3204 | 0.1243 |
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| 145 |
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| 0.0048 | 31.09 | 77000 | 0.3713 | 0.1326 |
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| 146 |
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| 0.0047 | 31.49 | 78000 | 0.3121 | 0.1018 |
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| 147 |
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| 0.0066 | 31.89 | 79000 | 0.4510 | 0.1473 |
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| 148 |
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| 0.0053 | 32.3 | 80000 | 0.3599 | 0.1130 |
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| 149 |
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| 0.0058 | 32.7 | 81000 | 0.4256 | 0.1463 |
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| 150 |
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| 0.0056 | 33.1 | 82000 | 0.4393 | 0.1605 |
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| 151 |
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| 0.0046 | 33.51 | 83000 | 0.6327 | 0.2056 |
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| 152 |
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| 0.0049 | 33.91 | 84000 | 0.4069 | 0.1360 |
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| 153 |
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| 0.0031 | 34.32 | 85000 | 0.4359 | 0.1458 |
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| 154 |
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| 0.0052 | 34.72 | 86000 | 0.2825 | 0.1032 |
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| 155 |
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| 0.0039 | 35.12 | 87000 | 0.3545 | 0.1256 |
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| 156 |
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| 0.003 | 35.53 | 88000 | 0.3674 | 0.1252 |
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| 157 |
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| 0.004 | 35.93 | 89000 | 0.3849 | 0.1288 |
|
| 158 |
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| 0.0029 | 36.33 | 90000 | 0.3465 | 0.1130 |
|
| 159 |
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| 0.003 | 36.74 | 91000 | 0.4034 | 0.1294 |
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| 160 |
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| 0.0036 | 37.14 | 92000 | 0.3456 | 0.1209 |
|
| 161 |
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| 0.0033 | 37.55 | 93000 | 0.3882 | 0.1407 |
|
| 162 |
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| 0.0037 | 37.95 | 94000 | 0.3372 | 0.1094 |
|
| 163 |
+
| 0.0025 | 38.35 | 95000 | 0.3601 | 0.1137 |
|
| 164 |
+
| 0.0037 | 38.76 | 96000 | 0.2804 | 0.1027 |
|
| 165 |
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| 0.0022 | 39.16 | 97000 | 0.4160 | 0.1354 |
|
| 166 |
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| 0.0027 | 39.56 | 98000 | 0.3379 | 0.1202 |
|
| 167 |
+
| 0.002 | 39.97 | 99000 | 0.3462 | 0.1171 |
|
| 168 |
+
| 0.0021 | 40.37 | 100000 | 0.3694 | 0.1272 |
|
| 169 |
+
| 0.0014 | 40.78 | 101000 | 0.3315 | 0.1048 |
|
| 170 |
+
| 0.0025 | 41.18 | 102000 | 0.3316 | 0.1088 |
|
| 171 |
+
| 0.002 | 41.58 | 103000 | 0.3776 | 0.1319 |
|
| 172 |
+
| 0.0028 | 41.99 | 104000 | 0.3024 | 0.1028 |
|
| 173 |
+
| 0.0015 | 42.39 | 105000 | 0.3087 | 0.1102 |
|
| 174 |
+
| 0.0018 | 42.79 | 106000 | 0.3254 | 0.1067 |
|
| 175 |
+
| 0.0028 | 43.2 | 107000 | 0.3305 | 0.1081 |
|
| 176 |
+
| 0.002 | 43.6 | 108000 | 0.3445 | 0.1120 |
|
| 177 |
+
| 0.0019 | 44.0 | 109000 | 0.3264 | 0.1082 |
|
| 178 |
+
| 0.0019 | 44.41 | 110000 | 0.3650 | 0.1202 |
|
| 179 |
+
| 0.001 | 44.81 | 111000 | 0.3415 | 0.1133 |
|
| 180 |
+
| 0.0015 | 45.22 | 112000 | 0.3194 | 0.1044 |
|
| 181 |
+
| 0.0011 | 45.62 | 113000 | 0.3302 | 0.1085 |
|
| 182 |
+
| 0.0013 | 46.02 | 114000 | 0.3083 | 0.1053 |
|
| 183 |
+
| 0.0008 | 46.43 | 115000 | 0.2976 | 0.0982 |
|
| 184 |
+
| 0.0019 | 46.83 | 116000 | 0.3212 | 0.1057 |
|
| 185 |
+
| 0.0006 | 47.23 | 117000 | 0.3415 | 0.1089 |
|
| 186 |
+
| 0.0025 | 47.64 | 118000 | 0.3188 | 0.1043 |
|
| 187 |
+
| 0.0009 | 48.04 | 119000 | 0.3136 | 0.1025 |
|
| 188 |
+
| 0.0015 | 48.45 | 120000 | 0.3180 | 0.1050 |
|
| 189 |
+
| 0.0013 | 48.85 | 121000 | 0.3439 | 0.1110 |
|
| 190 |
+
| 0.0007 | 49.25 | 122000 | 0.3286 | 0.1048 |
|
| 191 |
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| 0.0014 | 49.66 | 123000 | 0.3190 | 0.0999 |
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| 192 |
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| 193 |
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| 194 |
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### Framework versions
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| 195 |
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| 196 |
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- Transformers 4.39.3
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| 197 |
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- Pytorch 2.0.1+cu117
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| 198 |
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- Datasets 2.18.0
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- Tokenizers 0.15.2
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config.json
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|
|
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|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_name_or_path": "facebook/wav2vec2-base",
|
| 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": 0.1,
|
| 13 |
+
"bos_token_id": 1,
|
| 14 |
+
"classifier_proj_size": 256,
|
| 15 |
+
"codevector_dim": 256,
|
| 16 |
+
"contrastive_logits_temperature": 0.1,
|
| 17 |
+
"conv_bias": false,
|
| 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": false,
|
| 49 |
+
"eos_token_id": 2,
|
| 50 |
+
"feat_extract_activation": "gelu",
|
| 51 |
+
"feat_extract_norm": "group",
|
| 52 |
+
"feat_proj_dropout": 0.1,
|
| 53 |
+
"feat_quantizer_dropout": 0.0,
|
| 54 |
+
"final_dropout": 0.0,
|
| 55 |
+
"freeze_feat_extract_train": true,
|
| 56 |
+
"hidden_act": "gelu",
|
| 57 |
+
"hidden_dropout": 0.1,
|
| 58 |
+
"hidden_size": 768,
|
| 59 |
+
"initializer_range": 0.02,
|
| 60 |
+
"intermediate_size": 3072,
|
| 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 |
+
"no_mask_channel_overlap": false,
|
| 79 |
+
"no_mask_time_overlap": false,
|
| 80 |
+
"num_adapter_layers": 3,
|
| 81 |
+
"num_attention_heads": 12,
|
| 82 |
+
"num_codevector_groups": 2,
|
| 83 |
+
"num_codevectors_per_group": 320,
|
| 84 |
+
"num_conv_pos_embedding_groups": 16,
|
| 85 |
+
"num_conv_pos_embeddings": 128,
|
| 86 |
+
"num_feat_extract_layers": 7,
|
| 87 |
+
"num_hidden_layers": 12,
|
| 88 |
+
"num_negatives": 100,
|
| 89 |
+
"output_hidden_size": 768,
|
| 90 |
+
"pad_token_id": 29,
|
| 91 |
+
"proj_codevector_dim": 256,
|
| 92 |
+
"tdnn_dilation": [
|
| 93 |
+
1,
|
| 94 |
+
2,
|
| 95 |
+
3,
|
| 96 |
+
1,
|
| 97 |
+
1
|
| 98 |
+
],
|
| 99 |
+
"tdnn_dim": [
|
| 100 |
+
512,
|
| 101 |
+
512,
|
| 102 |
+
512,
|
| 103 |
+
512,
|
| 104 |
+
1500
|
| 105 |
+
],
|
| 106 |
+
"tdnn_kernel": [
|
| 107 |
+
5,
|
| 108 |
+
3,
|
| 109 |
+
3,
|
| 110 |
+
1,
|
| 111 |
+
1
|
| 112 |
+
],
|
| 113 |
+
"torch_dtype": "float32",
|
| 114 |
+
"transformers_version": "4.39.3",
|
| 115 |
+
"use_weighted_layer_sum": false,
|
| 116 |
+
"vocab_size": 32,
|
| 117 |
+
"xvector_output_dim": 512
|
| 118 |
+
}
|
model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:f575b545fffd1953aa07fe018005f19e497e8a4fcb5d96b8e42bb7c6a94e4b33
|
| 3 |
+
size 377611072
|
preprocessor_config.json
ADDED
|
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"do_normalize": true,
|
| 3 |
+
"feature_extractor_type": "Wav2Vec2FeatureExtractor",
|
| 4 |
+
"feature_size": 1,
|
| 5 |
+
"padding_side": "right",
|
| 6 |
+
"padding_value": 0.0,
|
| 7 |
+
"return_attention_mask": false,
|
| 8 |
+
"sampling_rate": 16000
|
| 9 |
+
}
|
training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:045d0b96326a5a4cff916fed2db4d066d80cccd2322ab47447c9947983f250eb
|
| 3 |
+
size 4475
|