metadata
license: apache-2.0
base_model: distilbert/distilroberta-base
tags:
- generated_from_trainer
model-index:
- name: results
results: []
results
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: 0.2147
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: 5e-05
- 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
- lr_scheduler_warmup_steps: 200
- num_epochs: 16
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.1553 | 1.0 | 1521 | 0.1512 |
| 0.1561 | 2.0 | 3042 | 0.1484 |
| 0.1344 | 3.0 | 4563 | 0.1497 |
| 0.1119 | 4.0 | 6084 | 0.1551 |
| 0.1117 | 5.0 | 7605 | 0.1640 |
| 0.1095 | 6.0 | 9126 | 0.1729 |
| 0.0714 | 7.0 | 10647 | 0.1871 |
| 0.0617 | 8.0 | 12168 | 0.1950 |
| 0.048 | 9.0 | 13689 | 0.2021 |
| 0.0406 | 10.0 | 15210 | 0.2044 |
| 0.0264 | 11.0 | 16731 | 0.2077 |
| 0.0235 | 12.0 | 18252 | 0.2109 |
| 0.0218 | 13.0 | 19773 | 0.2116 |
| 0.0142 | 14.0 | 21294 | 0.2136 |
| 0.0131 | 15.0 | 22815 | 0.2143 |
| 0.0118 | 16.0 | 24336 | 0.2147 |
Framework versions
- Transformers 4.40.1
- Pytorch 2.3.0+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1