---
license: mit
tags:
- generated_from_keras_callback
datasets:
- go_emotions
- emotion
base_model: microsoft/xtremedistil-l6-h256-uncased
model-index:
- name: jonaskoenig/xtremedistil-l6-h256-uncased-go-emotion
  results: []
---

<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->

# jonaskoenig/xtremedistil-l6-h256-uncased-go-emotion

This model is a fine-tuned version of [microsoft/xtremedistil-l6-h256-uncased](https://huggingface.co/microsoft/xtremedistil-l6-h256-uncased) on [go_emotions](https://huggingface.co/datasets/go_emotions) and [emotion](https://huggingface.co/datasets/emotion).
It achieves the following results on the evaluation set:
- Train Loss: 0.0282
- Train Binary Crossentropy: 0.4836
- Epoch: 8

## 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:
- optimizer: {'name': 'Adam', 'learning_rate': 3e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
- training_precision: float32

### Training results

| Train Loss | Train Binary Crossentropy | Epoch |
|:----------:|:-------------------------:|:-----:|
| 0.0487     | 0.6401                    | 0     |
| 0.0348     | 0.5925                    | 1     |
| 0.0319     | 0.5393                    | 2     |
| 0.0306     | 0.5168                    | 3     |
| 0.0298     | 0.5045                    | 4     |
| 0.0292     | 0.4970                    | 5     |
| 0.0288     | 0.4916                    | 6     |
| 0.0284     | 0.4878                    | 7     |
| 0.0282     | 0.4836                    | 8     |


### Framework versions

- Transformers 4.20.1
- TensorFlow 2.9.1
- Datasets 2.3.2
- Tokenizers 0.12.1