metadata
library_name: transformers
license: mit
base_model: roberta-large
tags:
- generated_from_trainer
model-index:
- name: roberta-large-atomic-anion-1e-06-256
results: []
roberta-large-atomic-anion-1e-06-256
This model is a fine-tuned version of roberta-large on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3194
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: 256
- seed: 42
- optimizer: Use OptimizerNames.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 |
|---|---|---|---|
| 0.4954 | 1.0 | 1152 | 0.4666 |
| 0.4156 | 2.0 | 2304 | 0.4036 |
| 0.3791 | 3.0 | 3456 | 0.3861 |
| 0.3586 | 4.0 | 4608 | 0.3600 |
| 0.3372 | 5.0 | 5760 | 0.3483 |
| 0.3232 | 6.0 | 6912 | 0.3380 |
| 0.3075 | 7.0 | 8064 | 0.3362 |
| 0.2964 | 8.0 | 9216 | 0.3308 |
| 0.2811 | 9.0 | 10368 | 0.3284 |
| 0.2733 | 10.0 | 11520 | 0.3240 |
| 0.2668 | 11.0 | 12672 | 0.3204 |
| 0.2608 | 12.0 | 13824 | 0.3210 |
| 0.2509 | 13.0 | 14976 | 0.3186 |
| 0.2426 | 14.0 | 16128 | 0.3173 |
| 0.2358 | 15.0 | 17280 | 0.3191 |
| 0.2307 | 16.0 | 18432 | 0.3205 |
| 0.232 | 17.0 | 19584 | 0.3149 |
| 0.2264 | 18.0 | 20736 | 0.3174 |
| 0.2199 | 19.0 | 21888 | 0.3199 |
| 0.2188 | 20.0 | 23040 | 0.3194 |
Framework versions
- Transformers 4.49.0
- Pytorch 2.6.0+cu124
- Datasets 3.3.2
- Tokenizers 0.21.1