---
license: mit
base_model: roberta-base
tags:
- generated_from_trainer
model-index:
- name: my_model
  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. -->

# my_model

This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.6561

## 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: 5e-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 300
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.0481        | 1.0   | 638  | 1.7660          |
| 1.3097        | 2.0   | 1276 | 1.6561          |
| 1.3712        | 3.0   | 1914 | 1.6632          |
| 1.7868        | 4.0   | 2552 | 1.6640          |
| 1.3863        | 5.0   | 3190 | 1.7156          |
| 1.488         | 6.0   | 3828 | 1.7067          |
| 1.4615        | 7.0   | 4466 | 1.7098          |
| 1.853         | 8.0   | 5104 | 1.7113          |
| 1.574         | 9.0   | 5742 | 1.7162          |
| 2.0823        | 10.0  | 6380 | 1.7148          |


### Framework versions

- Transformers 4.38.0.dev0
- Pytorch 2.1.2+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0