---
license: mit
base_model: roberta-large
tags:
- generated_from_trainer
datasets:
- clinc_oos
model-index:
- name: output
  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. -->

# output

This model is a fine-tuned version of [roberta-large](https://huggingface.co/roberta-large) on the clinc_oos dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1692

## 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
- lr_scheduler_warmup_steps: 500
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.3719        | 1.0   | 954  | 0.3159          |
| 0.0131        | 2.0   | 1908 | 0.1692          |
| 0.0149        | 3.0   | 2862 | 0.1947          |
| 0.0179        | 4.0   | 3816 | 0.1907          |
| 0.04          | 5.0   | 4770 | 0.1877          |
| 0.001         | 6.0   | 5724 | 0.1908          |
| 0.0473        | 7.0   | 6678 | 0.1961          |
| 0.0007        | 8.0   | 7632 | 0.1960          |
| 0.0415        | 9.0   | 8586 | 0.1945          |
| 0.0005        | 10.0  | 9540 | 0.1971          |


### Framework versions

- Transformers 4.34.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1