---
license: mit
base_model: roberta-base
tags:
- generated_from_trainer
model-index:
- name: htk-aes-1
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# htk-aes-1

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: 0.8292

## 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-06
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 303  | 0.8359          |
| 0.8675        | 2.0   | 606  | 0.8239          |
| 0.8675        | 3.0   | 909  | 0.8007          |
| 0.7903        | 4.0   | 1212 | 0.8165          |
| 0.7463        | 5.0   | 1515 | 0.8292          |


### Framework versions

- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2