---
license: mit
base_model: FacebookAI/roberta-base
tags:
- generated_from_trainer
model-index:
- name: hw-slots-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-slots-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: 0.0054

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 0.4235        | 1.6   | 500  | 0.0911          |
| 0.0725        | 3.21  | 1000 | 0.0375          |
| 0.0333        | 4.81  | 1500 | 0.0188          |
| 0.0211        | 6.41  | 2000 | 0.0108          |
| 0.014         | 8.01  | 2500 | 0.0072          |
| 0.0101        | 9.62  | 3000 | 0.0066          |
| 0.0079        | 11.22 | 3500 | 0.0053          |
| 0.0053        | 12.82 | 4000 | 0.0054          |


### Framework versions

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