---
license: mit
base_model: FacebookAI/roberta-base
tags:
- generated_from_trainer
model-index:
- name: RoBERTa_EmpAI_FineTuned
  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_EmpAI_FineTuned

This model is a fine-tuned version of [FacebookAI/roberta-base](https://huggingface.co/FacebookAI/roberta-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0707

## 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-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 1000
- num_epochs: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 483  | 7.4258          |
| 12.6437       | 2.0   | 967  | 2.1112          |
| 4.9019        | 3.0   | 1450 | 0.0872          |
| 0.4036        | 4.0   | 1934 | 0.0765          |
| 0.0802        | 4.99  | 2415 | 0.0754          |
| 0.0737        | 6.0   | 2898 | 0.0708          |
| 0.0749        | 7.0   | 3382 | 0.0705          |
| 0.0712        | 8.0   | 3865 | 0.0702          |
| 0.0708        | 9.0   | 4349 | 0.0692          |
| 0.0698        | 9.99  | 4830 | 0.0696          |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2