metadata
library_name: transformers
tags:
- generated_from_trainer
datasets:
- arrow
model-index:
- name: results4
results: []
results4
This model is a fine-tuned version of on the arrow dataset. It achieves the following results on the evaluation set:
- Loss: 5.8050
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: 256
- eval_batch_size: 256
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 10000
- training_steps: 55177
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 6.3953 | 0.0906 | 5000 | 6.3744 |
| 6.1127 | 0.1812 | 10000 | 6.0920 |
| 5.9995 | 0.2718 | 15000 | 5.9765 |
| 5.9562 | 0.3625 | 20000 | 5.9240 |
| 5.8722 | 0.4531 | 25000 | 5.8912 |
| 5.8909 | 0.5437 | 30000 | 5.8672 |
| 5.8549 | 0.6343 | 35000 | 5.8463 |
| 5.8528 | 0.7249 | 40000 | 5.8316 |
| 5.8413 | 0.8155 | 45000 | 5.8196 |
| 5.804 | 0.9062 | 50000 | 5.8098 |
| 5.8214 | 0.9968 | 55000 | 5.8050 |
Framework versions
- Transformers 4.51.3
- Pytorch 2.6.0+cu126
- Datasets 3.5.0
- Tokenizers 0.21.1