---
license: mit
tags:
- generated_from_trainer
model-index:
- name: BERiT_2000_enriched
  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. -->

# BERiT_2000_enriched

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: 6.6052

## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 6.786         | 0.19  | 500  | 6.6797          |
| 6.6441        | 0.39  | 1000 | 6.6574          |
| 6.6376        | 0.58  | 1500 | 6.6240          |
| 6.5951        | 0.77  | 2000 | 6.6291          |
| 6.6123        | 0.97  | 2500 | 6.6355          |
| 6.6028        | 1.16  | 3000 | 6.6084          |
| 6.5974        | 1.36  | 3500 | 6.5984          |
| 6.6104        | 1.55  | 4000 | 6.5775          |
| 6.6113        | 1.74  | 4500 | 6.6062          |
| 6.5895        | 1.94  | 5000 | 6.5931          |
| 6.6106        | 2.13  | 5500 | 6.6276          |
| 6.635         | 2.32  | 6000 | 6.5973          |
| 6.5694        | 2.52  | 6500 | 6.6021          |
| 6.612         | 2.71  | 7000 | 6.5882          |
| 6.5984        | 2.9   | 7500 | 6.6052          |


### Framework versions

- Transformers 4.24.0
- Pytorch 1.12.1+cu113
- Datasets 2.6.1
- Tokenizers 0.13.2