---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: distilroberta-base-uncased-distilled-emotion
  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. -->

# distilroberta-base-uncased-distilled-emotion

This model is a fine-tuned version of [distilroberta-base](https://huggingface.co/distilroberta-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2657
- Accuracy: 0.9078

## 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: 64
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 7

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.9248        | 1.0   | 187  | 0.3691          | 0.8683   |
| 0.3336        | 2.0   | 374  | 0.2765          | 0.8997   |
| 0.2417        | 3.0   | 561  | 0.2726          | 0.9064   |
| 0.1975        | 4.0   | 748  | 0.2569          | 0.9084   |
| 0.1701        | 5.0   | 935  | 0.2613          | 0.9091   |
| 0.1475        | 6.0   | 1122 | 0.2659          | 0.9118   |
| 0.1317        | 7.0   | 1309 | 0.2657          | 0.9078   |


### Framework versions

- Transformers 4.26.1
- Pytorch 1.13.0
- Datasets 2.1.0
- Tokenizers 0.13.2