---
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: Poojithpoosa/myemotion_model
  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. -->

# Poojithpoosa/myemotion_model

This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 1.5775
- Validation Loss: 1.5589
- Train Accuracy: 0.3475
- Epoch: 2

## 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': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 0.002, 'decay_steps': 5000, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False}
- training_precision: float32

### Training results

| Train Loss | Validation Loss | Train Accuracy | Epoch |
|:----------:|:---------------:|:--------------:|:-----:|
| 1.5987     | 1.5625          | 0.3475         | 0     |
| 1.5827     | 1.5605          | 0.3475         | 1     |
| 1.5775     | 1.5589          | 0.3475         | 2     |


### Framework versions

- Transformers 4.24.0
- TensorFlow 2.10.1
- Datasets 2.19.0
- Tokenizers 0.11.0