finetune_wav2vec2_960h_thirty
This model is a fine-tuned version of facebook/wav2vec2-base-960h on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.7088
- Wer: 30.8513
- Cer: 15.3422
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: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2000
- training_steps: 3800
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
|---|---|---|---|---|---|
| 0.9521 | 2.8090 | 1000 | 0.7088 | 30.8513 | 15.3422 |
| 0.6771 | 5.6180 | 2000 | 0.5857 | 26.9346 | 13.3483 |
| 0.5499 | 8.4270 | 3000 | 0.5207 | 24.7273 | 12.1108 |
Framework versions
- Transformers 4.40.2
- Pytorch 2.1.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
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Model tree for ImanN1/finetune_wav2vec2_960h_thirty
Base model
facebook/wav2vec2-base-960h