---
library_name: transformers
license: mit
base_model: roberta-large
tags:
- generated_from_trainer
model-index:
- name: roberta-large-atomic-anion-1e-06-256
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# roberta-large-atomic-anion-1e-06-256

This model is a fine-tuned version of [roberta-large](https://huggingface.co/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