---
license: mit
tags:
- generated_from_trainer
model-index:
- name: roberta-base-academic
  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-academic

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: 2.0248

## 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: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 3
- total_train_batch_size: 96
- optimizer: Adam with betas=(0.9,0.99) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 250
- num_epochs: 5
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.1562        | 0.75  | 330  | 2.0722          |
| 2.12          | 1.5   | 660  | 2.0430          |
| 2.1085        | 2.25  | 990  | 2.0428          |
| 2.0979        | 3.0   | 1320 | 2.0305          |
| 2.0859        | 3.75  | 1650 | 1.9995          |
| 2.0889        | 4.5   | 1980 | 2.0074          |


### Framework versions

- Transformers 4.19.0.dev0
- Pytorch 1.13.0+cu116
- Datasets 2.8.0
- Tokenizers 0.12.1