metadata
base_model: distilbert/distilroberta-base
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: my_model
results: []
my_model
This model is a fine-tuned version of distilbert/distilroberta-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.9088
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: 0.0005
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 15
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 199 | 1.7154 |
| No log | 2.0 | 398 | 1.5037 |
| 1.9788 | 3.0 | 597 | 1.3993 |
| 1.9788 | 4.0 | 796 | 1.3026 |
| 1.9788 | 5.0 | 995 | 1.2332 |
| 1.3929 | 6.0 | 1194 | 1.1941 |
| 1.3929 | 7.0 | 1393 | 1.1367 |
| 1.1697 | 8.0 | 1592 | 1.1049 |
| 1.1697 | 9.0 | 1791 | 1.0715 |
| 1.1697 | 10.0 | 1990 | 1.0183 |
| 1.0298 | 11.0 | 2189 | 1.0175 |
| 1.0298 | 12.0 | 2388 | 0.9541 |
| 0.9012 | 13.0 | 2587 | 0.9291 |
| 0.9012 | 14.0 | 2786 | 0.8999 |
| 0.9012 | 15.0 | 2985 | 0.9088 |
Framework versions
- Transformers 4.42.4
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1