metadata
tags:
- generated_from_trainer
model-index:
- name: model
results: []
model
This model is a fine-tuned version of on the None dataset. It achieves the following results on the evaluation set:
- Loss: 5.6008
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: 0.01
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- training_steps: 500
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 5.8089 | 0.12 | 100 | 5.6241 |
| 5.6173 | 0.25 | 200 | 5.6149 |
| 5.6119 | 0.37 | 300 | 5.6090 |
| 5.6128 | 0.49 | 400 | 5.6053 |
| 5.5999 | 0.62 | 500 | 5.6008 |
Framework versions
- Transformers 4.36.2
- Pytorch 2.1.2+cu118
- Datasets 2.16.0
- Tokenizers 0.15.0