metadata
tags:
- generated_from_trainer
model-index:
- name: results_model8
results: []
results_model8
This model is a fine-tuned version of on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.9686
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 30
- num_epochs: 20
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.3262 | 0.5570 | 10000 | 3.3012 |
| 3.0829 | 1.1141 | 20000 | 3.1175 |
| 2.9737 | 1.6711 | 30000 | 3.0091 |
| 2.8584 | 2.2282 | 40000 | 2.9686 |
Framework versions
- Transformers 4.40.2
- Pytorch 2.3.0
- Datasets 2.19.1
- Tokenizers 0.19.1