metadata
tags:
- generated_from_trainer
model-index:
- name: dev_results_model8_new
results: []
dev_results_model8_new
This model is a fine-tuned version of on the None dataset. It achieves the following results on the evaluation set:
- Loss: 6.6467
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: 32
- 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: 20
- num_epochs: 50
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 6.4968 | 11.9617 | 5000 | 6.8573 |
| 6.0917 | 23.9234 | 10000 | 6.7011 |
| 5.8232 | 35.8852 | 15000 | 6.6316 |
| 5.6895 | 47.8469 | 20000 | 6.6467 |
Framework versions
- Transformers 4.40.2
- Pytorch 2.3.0
- Datasets 2.19.1
- Tokenizers 0.19.1