Timit_Exp
This model is a fine-tuned version of facebook/wav2vec2-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: nan
- Wer: 1.0
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: 8
- 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: 30
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 7.9059 | 3.4483 | 500 | nan | 1.0 |
| 0.0 | 6.8966 | 1000 | nan | 1.0 |
| 0.0 | 10.3448 | 1500 | nan | 1.0 |
| 0.0 | 13.7931 | 2000 | nan | 1.0 |
| 0.0 | 17.2414 | 2500 | nan | 1.0 |
| 0.0 | 20.6897 | 3000 | nan | 1.0 |
| 0.0 | 24.1379 | 3500 | nan | 1.0 |
| 0.0 | 27.5862 | 4000 | nan | 1.0 |
Framework versions
- Transformers 4.45.0
- Pytorch 2.3.1
- Datasets 2.15.0
- Tokenizers 0.20.0
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Model tree for TartaYug/Timit_Exp
Base model
facebook/wav2vec2-base