Roberta_Text_Classification_v6
This model is a fine-tuned version of roberta-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0230
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: 500
- num_epochs: 30
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.023 | 1.0 | 279 | 0.2139 |
| 0.0967 | 2.0 | 558 | 0.0710 |
| 0.0004 | 3.0 | 837 | 0.0981 |
| 0.1198 | 4.0 | 1116 | 0.0474 |
| 0.1475 | 5.0 | 1395 | 0.1094 |
| 0.0008 | 6.0 | 1674 | 0.0379 |
| 0.2435 | 7.0 | 1953 | 0.0536 |
| 0.0001 | 8.0 | 2232 | 0.0765 |
| 0.0002 | 9.0 | 2511 | 0.0483 |
| 0.0002 | 10.0 | 2790 | 0.0406 |
| 0.0001 | 11.0 | 3069 | 0.0430 |
| 0.0001 | 12.0 | 3348 | 0.0399 |
| 0.0002 | 13.0 | 3627 | 0.0230 |
| 0.0002 | 14.0 | 3906 | 0.0353 |
| 0.0671 | 15.0 | 4185 | 0.0724 |
| 0.0154 | 16.0 | 4464 | 0.1768 |
| 0.0002 | 17.0 | 4743 | 0.0470 |
| 0.0001 | 18.0 | 5022 | 0.0451 |
| 0.2172 | 19.0 | 5301 | 0.0504 |
| 0.0128 | 20.0 | 5580 | 0.0676 |
| 0.0001 | 21.0 | 5859 | 0.1007 |
| 0.0001 | 22.0 | 6138 | 0.0799 |
| 0.0001 | 23.0 | 6417 | 0.0616 |
| 0.0 | 24.0 | 6696 | 0.0621 |
| 0.0 | 25.0 | 6975 | 0.0625 |
| 0.0 | 26.0 | 7254 | 0.0628 |
| 0.0 | 27.0 | 7533 | 0.0631 |
| 0.0 | 28.0 | 7812 | 0.0633 |
| 0.0 | 29.0 | 8091 | 0.0637 |
| 0.0 | 30.0 | 8370 | 0.0638 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1
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Base model
FacebookAI/roberta-base