| --- |
| base_model: final_models/focus_lug_mpt_after_focus_reinit |
| tags: |
| - generated_from_trainer |
| datasets: |
| - mozilla-foundation/common_voice_11_0 |
| model-index: |
| - name: focus_lug_mpt_focus_trained |
| 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. --> |
|
|
| # focus_lug_mpt_focus_trained |
|
|
| This model is a fine-tuned version of [final_models/focus_lug_mpt_after_focus_reinit](https://huggingface.co/final_models/focus_lug_mpt_after_focus_reinit) on the mozilla-foundation/common_voice_11_0 lg dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 5.8420 |
| |
| ## 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: 0.0003 |
| - train_batch_size: 1 |
| - eval_batch_size: 1 |
| - seed: 42 |
| - distributed_type: multi-GPU |
| - optimizer: Adam with betas=(0.9,0.95) and epsilon=1e-05 |
| - lr_scheduler_type: cosine |
| - lr_scheduler_warmup_steps: 2000 |
| - num_epochs: 6.0 |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | |
| |:-------------:|:-----:|:----:|:---------------:| |
| | 5.7812 | 1.0 | 697 | 6.0611 | |
| | 5.9688 | 2.0 | 1394 | 5.6902 | |
| | 5.375 | 3.0 | 2091 | 5.5077 | |
| | 4.5625 | 4.0 | 2788 | 5.3659 | |
| | 3.8594 | 5.0 | 3485 | 5.5141 | |
| | 2.3594 | 6.0 | 4182 | 5.8420 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.44.0 |
| - Pytorch 2.5.1+cu124 |
| - Datasets 3.2.0 |
| - Tokenizers 0.19.1 |
| |
