| license: apache-2.0 | |
| tags: | |
| - generated_from_trainer | |
| model-index: | |
| - name: tts_tmit_add_transformer | |
| 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. --> | |
| # tts_tmit_add_transformer | |
| This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the None dataset. | |
| It achieves the following results on the evaluation set: | |
| - eval_loss: 0.1570 | |
| - eval_wer: 0.1788 | |
| - eval_runtime: 27.4036 | |
| - eval_samples_per_second: 12.261 | |
| - eval_steps_per_second: 1.533 | |
| - epoch: 10.58 | |
| - step: 7107 | |
| ## 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: 3e-05 | |
| - train_batch_size: 2 | |
| - eval_batch_size: 8 | |
| - seed: 42 | |
| - gradient_accumulation_steps: 2 | |
| - total_train_batch_size: 4 | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: linear | |
| - lr_scheduler_warmup_steps: 2000 | |
| - training_steps: 13000 | |
| - mixed_precision_training: Native AMP | |
| ### Framework versions | |
| - Transformers 4.17.0 | |
| - Pytorch 2.4.0 | |
| - Datasets 3.0.1 | |
| - Tokenizers 0.20.0 | |