finetune_wav2vec2_base_six_1000
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: 1.3205
- Wer: 64.2346
- Cer: 28.5983
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: 4500
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
|---|---|---|---|---|---|
| 3.3064 | 18.5185 | 1000 | 1.2395 | 61.2364 | 27.0612 |
| 0.4719 | 37.0370 | 2000 | 1.1869 | 43.9153 | 20.5975 |
| 0.1675 | 55.5556 | 3000 | 1.2026 | 41.3812 | 19.3565 |
| 0.0898 | 74.0741 | 4000 | 1.2615 | 39.3484 | 18.3855 |
Framework versions
- Transformers 4.40.2
- Pytorch 1.12.1+cu116
- Datasets 2.19.1
- Tokenizers 0.19.1
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Model tree for ImanN1/finetune_wav2vec2_base_six_1000
Base model
facebook/wav2vec2-base