---
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: 3.1862
- Train Categorical Accuracy: 0.3188
- Validation Loss: 2.7378
- Validation Categorical Accuracy: 0.3960
- Epoch: 0

## 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': 5e-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 Categorical Accuracy | Validation Loss | Validation Categorical Accuracy | Epoch |
|:----------:|:--------------------------:|:---------------:|:-------------------------------:|:-----:|
| 3.1862     | 0.3188                     | 2.7378          | 0.3960                          | 0     |


### Framework versions

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