distilroberta-base-finetuned-media-right
This model is a fine-tuned version of distilroberta-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.2664
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: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 148 | 1.6991 |
| No log | 2.0 | 296 | 1.6279 |
| No log | 3.0 | 444 | 1.5855 |
| 1.7179 | 4.0 | 592 | 1.5846 |
| 1.7179 | 5.0 | 740 | 1.5261 |
| 1.7179 | 6.0 | 888 | 1.4618 |
| 1.5059 | 7.0 | 1036 | 1.4146 |
| 1.5059 | 8.0 | 1184 | 1.4289 |
| 1.5059 | 9.0 | 1332 | 1.4022 |
| 1.5059 | 10.0 | 1480 | 1.3688 |
| 1.3326 | 11.0 | 1628 | 1.3335 |
| 1.3326 | 12.0 | 1776 | 1.3669 |
| 1.3326 | 13.0 | 1924 | 1.2971 |
| 1.1997 | 14.0 | 2072 | 1.3146 |
| 1.1997 | 15.0 | 2220 | 1.3336 |
| 1.1997 | 16.0 | 2368 | 1.2793 |
| 1.1149 | 17.0 | 2516 | 1.2469 |
| 1.1149 | 18.0 | 2664 | 1.2395 |
| 1.1149 | 19.0 | 2812 | 1.2302 |
| 1.1149 | 20.0 | 2960 | 1.2664 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0
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Model tree for Jorsini/distilroberta-base-finetuned-media-right
Base model
distilbert/distilroberta-base