metadata
base_model: final_models/focus_lug_phi_after_focus_reinit
tags:
- generated_from_trainer
datasets:
- mozilla-foundation/common_voice_11_0
model-index:
- name: focus_lug_phi_focus_trained
results: []
focus_lug_phi_focus_trained
This model is a fine-tuned version of final_models/focus_lug_phi_after_focus_reinit on the mozilla-foundation/common_voice_11_0 lg dataset. It achieves the following results on the evaluation set:
- Loss: 5.5764
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 |
|---|---|---|---|
| 5.537 | 1.0 | 697 | 5.7700 |
| 5.7391 | 2.0 | 1394 | 5.3991 |
| 5.3313 | 3.0 | 2091 | 5.4057 |
| 4.0997 | 4.0 | 2788 | 5.1846 |
| 3.2874 | 5.0 | 3485 | 5.3427 |
| 1.9325 | 6.0 | 4182 | 5.5764 |
Framework versions
- Transformers 4.44.0
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.19.1