đ sew-small-100k-timit
This model is a fine - tuned version of asapp/sew-small-100k on the TIMIT_ASR - NA dataset. It offers an effective solution for automatic speech recognition tasks, achieving notable results on the evaluation set.
đ Quick Start
This model is a fine - tuned version of asapp/sew-small-100k on the TIMIT_ASR - NA dataset.
It achieves the following results on the evaluation set:
đ Documentation
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.0001
- train_batch_size: 32
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e - 08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1000
- num_epochs: 20.0
- mixed_precision_training: Native AMP
Training results
| Training Loss |
Epoch |
Step |
Validation Loss |
Wer |
| 3.071 |
0.69 |
100 |
3.0262 |
1.0 |
| 2.9304 |
1.38 |
200 |
2.9297 |
1.0 |
| 2.8823 |
2.07 |
300 |
2.8367 |
1.0 |
| 1.5668 |
2.76 |
400 |
1.2310 |
0.8807 |
| 0.7422 |
3.45 |
500 |
0.7080 |
0.5957 |
| 0.4121 |
4.14 |
600 |
0.5829 |
0.5073 |
| 0.3981 |
4.83 |
700 |
0.5153 |
0.4461 |
| 0.5038 |
5.52 |
800 |
0.4908 |
0.4151 |
| 0.2899 |
6.21 |
900 |
0.5122 |
0.4111 |
| 0.2198 |
6.9 |
1000 |
0.4908 |
0.3803 |
| 0.2129 |
7.59 |
1100 |
0.4668 |
0.3789 |
| 0.3007 |
8.28 |
1200 |
0.4788 |
0.3562 |
| 0.2264 |
8.97 |
1300 |
0.5113 |
0.3635 |
| 0.1536 |
9.66 |
1400 |
0.4950 |
0.3441 |
| 0.1206 |
10.34 |
1500 |
0.5062 |
0.3421 |
| 0.2021 |
11.03 |
1600 |
0.4900 |
0.3283 |
| 0.1458 |
11.72 |
1700 |
0.5019 |
0.3307 |
| 0.1151 |
12.41 |
1800 |
0.4989 |
0.3270 |
| 0.0985 |
13.1 |
1900 |
0.4925 |
0.3173 |
| 0.1412 |
13.79 |
2000 |
0.4868 |
0.3125 |
| 0.1579 |
14.48 |
2100 |
0.4983 |
0.3147 |
| 0.1043 |
15.17 |
2200 |
0.4914 |
0.3091 |
| 0.0773 |
15.86 |
2300 |
0.4858 |
0.3102 |
| 0.1327 |
16.55 |
2400 |
0.5084 |
0.3064 |
| 0.1281 |
17.24 |
2500 |
0.5017 |
0.3025 |
| 0.0845 |
17.93 |
2600 |
0.5001 |
0.3012 |
| 0.0717 |
18.62 |
2700 |
0.4894 |
0.3004 |
| 0.0835 |
19.31 |
2800 |
0.4963 |
0.2998 |
| 0.1181 |
20.0 |
2900 |
0.4926 |
0.2988 |
Framework versions
- Transformers 4.12.0.dev0
- Pytorch 1.8.1
- Datasets 1.14.1.dev0
- Tokenizers 0.10.3
đ License
This model is licensed under the Apache - 2.0 license.
| Property |
Details |
| Model Type |
Fine - tuned version of asapp/sew - small - 100k on TIMIT_ASR - NA dataset |
| Training Data |
TIMIT_ASR |
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