| license: apache-2.0 | |
| tags: | |
| - generated_from_trainer | |
| model-index: | |
| - name: my_awesome_asr_mind_model | |
| 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. --> | |
| # my_awesome_asr_mind_model | |
| This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the None dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 28.7224 | |
| - 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: 8 | |
| - 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_ratio: 0.1 | |
| - num_epochs: 5 | |
| - mixed_precision_training: Native AMP | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | Wer | | |
| |:-------------:|:-----:|:----:|:---------------:|:---:| | |
| | No log | 1.0 | 2 | 28.7224 | 1.0 | | |
| | No log | 2.0 | 4 | 28.7224 | 1.0 | | |
| | No log | 3.0 | 6 | 28.7224 | 1.0 | | |
| | No log | 4.0 | 8 | 28.7224 | 1.0 | | |
| | 57.4237 | 5.0 | 10 | 28.7224 | 1.0 | | |
| ### Framework versions | |
| - Transformers 4.22.2 | |
| - Pytorch 1.12.1+cu113 | |
| - Datasets 2.5.2 | |
| - Tokenizers 0.12.1 | |