license: apache-2.0 | |
base_model: facebook/wav2vec2-base-960h | |
tags: | |
- generated_from_trainer | |
metrics: | |
- wer | |
model-index: | |
- name: finetune_wav2vec2_960h_thirty | |
results: [] | |
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# finetune_wav2vec2_960h_thirty | |
This model is a fine-tuned version of [facebook/wav2vec2-base-960h](https://huggingface.co./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 | |