metadata
library_name: transformers
license: mit
base_model: mhr2004/roberta-large-pp-500000-1e-06-128
tags:
- generated_from_trainer
model-index:
- name: roberta-large-pp-500000-1e-06-128-negcommonsensebalanced-1e-06-64
results: []
roberta-large-pp-500000-1e-06-128-negcommonsensebalanced-1e-06-64
This model is a fine-tuned version of mhr2004/roberta-large-pp-500000-1e-06-128 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3431
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: 1e-06
- train_batch_size: 256
- eval_batch_size: 1024
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 30
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.5214 | 1.0 | 795 | 0.4808 |
| 0.4627 | 2.0 | 1590 | 0.4284 |
| 0.4322 | 3.0 | 2385 | 0.4102 |
| 0.4075 | 4.0 | 3180 | 0.3885 |
| 0.3858 | 5.0 | 3975 | 0.3778 |
| 0.3741 | 6.0 | 4770 | 0.3692 |
| 0.3632 | 7.0 | 5565 | 0.3628 |
| 0.3502 | 8.0 | 6360 | 0.3584 |
| 0.3412 | 9.0 | 7155 | 0.3551 |
| 0.3293 | 10.0 | 7950 | 0.3609 |
| 0.3234 | 11.0 | 8745 | 0.3475 |
| 0.3112 | 12.0 | 9540 | 0.3456 |
| 0.3067 | 13.0 | 10335 | 0.3451 |
| 0.3011 | 14.0 | 11130 | 0.3437 |
| 0.296 | 15.0 | 11925 | 0.3457 |
| 0.2856 | 16.0 | 12720 | 0.3424 |
| 0.2837 | 17.0 | 13515 | 0.3402 |
| 0.2789 | 18.0 | 14310 | 0.3404 |
| 0.2758 | 19.0 | 15105 | 0.3401 |
| 0.2702 | 20.0 | 15900 | 0.3393 |
| 0.2708 | 21.0 | 16695 | 0.3439 |
| 0.2628 | 22.0 | 17490 | 0.3378 |
| 0.2625 | 23.0 | 18285 | 0.3432 |
| 0.259 | 24.0 | 19080 | 0.3409 |
| 0.2572 | 25.0 | 19875 | 0.3431 |
Framework versions
- Transformers 4.48.3
- Pytorch 2.6.0+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0