| | --- |
| | library_name: transformers |
| | license: mit |
| | base_model: facebook/w2v-bert-2.0 |
| | tags: |
| | - generated_from_trainer |
| | model-index: |
| | - name: w2v-bert-2.0-yiddish_reyd |
| | 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. --> |
| |
|
| | # w2v-bert-2.0-yiddish_reyd |
| | |
| | This model is a fine-tuned version of [facebook/w2v-bert-2.0](https://huggingface.co/facebook/w2v-bert-2.0) on an unknown dataset. |
| | It achieves the following results on the evaluation set: |
| | - eval_loss: 0.2122 |
| | - eval_wer: 0.0984 |
| | - eval_runtime: 105.8185 |
| | - eval_samples_per_second: 4.631 |
| | - eval_steps_per_second: 4.631 |
| | - epoch: 3.0303 |
| | - step: 400 |
| |
|
| | ## 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: 5e-05 |
| | - train_batch_size: 16 |
| | - eval_batch_size: 1 |
| | - seed: 42 |
| | - gradient_accumulation_steps: 2 |
| | - total_train_batch_size: 32 |
| | - optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
| | - lr_scheduler_type: linear |
| | - lr_scheduler_warmup_steps: 500 |
| | - num_epochs: 25 |
| | - mixed_precision_training: Native AMP |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.56.0 |
| | - Pytorch 2.8.0+cu129 |
| | - Datasets 3.0.0 |
| | - Tokenizers 0.22.0 |
| | |
