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---
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
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