tapt_helpfulness_base_pretraining_model_full_train
This model is a fine-tuned version of roberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.2718
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: 21
- eval_batch_size: 21
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 42
- optimizer: Adam with betas=(0.9,0.98) and epsilon=1e-06
- lr_scheduler_type: linear
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.6862 | 1.0 | 1068 | 1.5262 |
| 1.5864 | 2.0 | 2137 | 1.4706 |
| 1.5423 | 3.0 | 3205 | 1.4346 |
| 1.5058 | 4.0 | 4274 | 1.4223 |
| 1.4792 | 5.0 | 5342 | 1.4100 |
| 1.4549 | 6.0 | 6411 | 1.3948 |
| 1.435 | 7.0 | 7479 | 1.3851 |
| 1.4148 | 8.0 | 8548 | 1.3749 |
| 1.3968 | 9.0 | 9616 | 1.3567 |
| 1.3806 | 10.0 | 10685 | 1.3548 |
| 1.3662 | 11.0 | 11753 | 1.3347 |
| 1.3495 | 12.0 | 12822 | 1.3369 |
| 1.3382 | 13.0 | 13890 | 1.3232 |
| 1.3238 | 14.0 | 14959 | 1.3231 |
| 1.3138 | 15.0 | 16027 | 1.3157 |
| 1.2983 | 16.0 | 17096 | 1.3012 |
| 1.2916 | 17.0 | 18164 | 1.2871 |
| 1.282 | 18.0 | 19233 | 1.2919 |
| 1.2738 | 19.0 | 20301 | 1.2825 |
| 1.267 | 19.99 | 21360 | 1.2842 |
Framework versions
- Transformers 4.36.2
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.15.2