---
library_name: transformers
license: mit
base_model: roberta-large
tags:
- generated_from_trainer
model-index:
- name: roberta-large-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-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: 0.2359

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 0.7025        | 1.0   | 358  | 0.4381          |
| 0.4222        | 2.0   | 716  | 0.3365          |
| 0.3481        | 3.0   | 1074 | 0.3071          |
| 0.3088        | 4.0   | 1432 | 0.2723          |
| 0.2942        | 5.0   | 1790 | 0.2667          |
| 0.2692        | 6.0   | 2148 | 0.2565          |
| 0.2495        | 7.0   | 2506 | 0.2506          |
| 0.231         | 8.0   | 2864 | 0.2441          |
| 0.2158        | 9.0   | 3222 | 0.2322          |
| 0.2118        | 10.0  | 3580 | 0.2333          |
| 0.2016        | 11.0  | 3938 | 0.2357          |
| 0.1909        | 12.0  | 4296 | 0.2359          |


### Framework versions

- Transformers 4.49.0
- Pytorch 2.6.0+cu124
- Datasets 3.3.2
- Tokenizers 0.21.1