---
library_name: transformers
license: mit
base_model: roberta-base
tags:
- generated_from_trainer
model-index:
- name: roberta-base-negcommonsensebalanced-1e-06-64
  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-base-negcommonsensebalanced-1e-06-64

This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3964

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.6084        | 1.0   | 795   | 0.5485          |
| 0.5297        | 2.0   | 1590  | 0.5047          |
| 0.5021        | 3.0   | 2385  | 0.4816          |
| 0.4891        | 4.0   | 3180  | 0.4691          |
| 0.4716        | 5.0   | 3975  | 0.4565          |
| 0.4622        | 6.0   | 4770  | 0.4519          |
| 0.4537        | 7.0   | 5565  | 0.4408          |
| 0.4437        | 8.0   | 6360  | 0.4387          |
| 0.4345        | 9.0   | 7155  | 0.4311          |
| 0.4295        | 10.0  | 7950  | 0.4286          |
| 0.4219        | 11.0  | 8745  | 0.4229          |
| 0.4169        | 12.0  | 9540  | 0.4175          |
| 0.413         | 13.0  | 10335 | 0.4176          |
| 0.4098        | 14.0  | 11130 | 0.4139          |
| 0.4046        | 15.0  | 11925 | 0.4096          |
| 0.4012        | 16.0  | 12720 | 0.4079          |
| 0.3958        | 17.0  | 13515 | 0.4069          |
| 0.3915        | 18.0  | 14310 | 0.4066          |
| 0.3928        | 19.0  | 15105 | 0.4046          |
| 0.3896        | 20.0  | 15900 | 0.4017          |
| 0.3856        | 21.0  | 16695 | 0.4004          |
| 0.3795        | 22.0  | 17490 | 0.3984          |
| 0.3809        | 23.0  | 18285 | 0.3989          |
| 0.3796        | 24.0  | 19080 | 0.3983          |
| 0.3782        | 25.0  | 19875 | 0.3983          |
| 0.3793        | 26.0  | 20670 | 0.3977          |
| 0.3747        | 27.0  | 21465 | 0.3959          |
| 0.3743        | 28.0  | 22260 | 0.3970          |
| 0.3795        | 29.0  | 23055 | 0.3962          |
| 0.373         | 30.0  | 23850 | 0.3964          |


### Framework versions

- Transformers 4.48.3
- Pytorch 2.6.0+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0