| --- |
| library_name: transformers |
| tags: |
| - generated_from_trainer |
| model-index: |
| - name: eval_cache_hindi_only |
| 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. --> |
|
|
| # eval_cache_hindi_only |
| |
| This model was trained from scratch on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - eval_loss: 2.2188 |
| - eval_model_preparation_time: 0.0044 |
| - eval_cer: 0.3354 |
| - eval_wer: 0.4724 |
| - eval_runtime: 43.1274 |
| - eval_samples_per_second: 13.263 |
| - eval_steps_per_second: 0.835 |
| - step: 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: 0.0006 |
| - train_batch_size: 16 |
| - eval_batch_size: 16 |
| - seed: 300 |
| - gradient_accumulation_steps: 2 |
| - total_train_batch_size: 32 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - lr_scheduler_warmup_steps: 500 |
| - training_steps: 1000 |
| - mixed_precision_training: Native AMP |
|
|
| ### Framework versions |
|
|
| - Transformers 4.45.2 |
| - Pytorch 2.4.0 |
| - Datasets 2.20.0 |
| - Tokenizers 0.20.1 |
|
|
