| license: apache-2.0 | |
| tags: | |
| - generated_from_trainer | |
| datasets: | |
| - lj_speech | |
| model-index: | |
| - name: wav2vec2-model-training | |
| results: [] | |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You | |
| should probably proofread and complete it, then remove this comment. --> | |
| # wav2vec2-model-training | |
| This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the lj_speech dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 0.1258 | |
| - Wer: 0.1446 | |
| ## 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: 5 | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | Wer | | |
| |:-------------:|:-----:|:----:|:---------------:|:------:| | |
| | 3.5099 | 1.52 | 500 | 1.1323 | 0.6740 | | |
| | 0.3293 | 3.05 | 1000 | 0.1430 | 0.1851 | | |
| | 0.1047 | 4.57 | 1500 | 0.1258 | 0.1446 | | |
| ### Framework versions | |
| - Transformers 4.17.0 | |
| - Pytorch 2.1.2 | |
| - Datasets 2.15.0 | |
| - Tokenizers 0.15.2 | |