| | --- |
| | license: apache-2.0 |
| | tags: |
| | - generated_from_trainer |
| | datasets: |
| | - common_voice |
| | model-index: |
| | - name: data2vec-large-uk |
| | 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. --> |
| |
|
| | # data2vec-large-uk |
| |
|
| | This model is a fine-tuned version of [facebook/data2vec-audio-large-960h](https://huggingface.co/facebook/data2vec-audio-large-960h) on the common_voice dataset. |
| | It achieves the following results on the evaluation set: |
| | - eval_loss: 0.3472 |
| | - eval_wer: 0.3410 |
| | - eval_cer: 0.0832 |
| | - eval_runtime: 231.0008 |
| | - eval_samples_per_second: 25.108 |
| | - eval_steps_per_second: 3.139 |
| | - epoch: 33.06 |
| | - step: 20400 |
| | |
| | ## 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 |
| | - gradient_accumulation_steps: 6 |
| | - total_train_batch_size: 48 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: linear |
| | - lr_scheduler_warmup_steps: 500 |
| | - num_epochs: 100 |
| | - mixed_precision_training: Native AMP |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.18.0 |
| | - Pytorch 1.11.0 |
| | - Datasets 1.18.3 |
| | - Tokenizers 0.12.1 |
| | |
