---
license: mit
tags:
- generated_from_keras_callback
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 an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 0.0230
- Train Binary Crossentropy: 0.3795
- Validation Loss: 0.0217
- Validation Binary Crossentropy: 0.3411
- Epoch: 5

## 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': 4e-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 | Validation Loss | Validation Binary Crossentropy | Epoch |
|:----------:|:-------------------------:|:---------------:|:------------------------------:|:-----:|
| 0.0607     | 0.6194                    | 0.0411          | 0.6178                         | 0     |
| 0.0385     | 0.6219                    | 0.0341          | 0.6174                         | 1     |
| 0.0319     | 0.5539                    | 0.0290          | 0.5115                         | 2     |
| 0.0279     | 0.4860                    | 0.0257          | 0.4198                         | 3     |
| 0.0252     | 0.4284                    | 0.0236          | 0.3984                         | 4     |
| 0.0230     | 0.3795                    | 0.0217          | 0.3411                         | 5     |


### Framework versions

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