---
license: mit
base_model: FacebookAI/roberta-base
tags:
- generated_from_trainer
model-index:
- name: hw-intent-atis
  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. -->

# hw-intent-atis

This model is a fine-tuned version of [FacebookAI/roberta-base](https://huggingface.co/FacebookAI/roberta-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 13.3164

## 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: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- training_steps: 4000

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.0266        | 1.6   | 500  | 11.9988         |
| 0.0444        | 3.21  | 1000 | 11.4742         |
| 0.0314        | 4.81  | 1500 | 12.1216         |
| 0.0163        | 6.41  | 2000 | 12.8759         |
| 0.0104        | 8.01  | 2500 | 13.1008         |
| 0.0052        | 9.62  | 3000 | 13.2233         |
| 0.0046        | 11.22 | 3500 | 13.2846         |
| 0.0022        | 12.82 | 4000 | 13.3164         |


### Framework versions

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