---
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: CIS6930_DAAGR_T5_emo
  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. -->

# CIS6930_DAAGR_T5_emo

This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 0.3698
- Train Accuracy: 0.9584
- Validation Loss: 0.4586
- Validation Accuracy: 0.9472
- Epoch: 14

## 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', 'weight_decay': None, 'clipnorm': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': True, 'is_legacy_optimizer': False, 'learning_rate': 0.001, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
- training_precision: float32

### Training results

| Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Epoch |
|:----------:|:--------------:|:---------------:|:-------------------:|:-----:|
| 0.5130     | 0.9390         | 0.4789          | 0.9431              | 0     |
| 0.4570     | 0.9456         | 0.4682          | 0.9446              | 1     |
| 0.4434     | 0.9477         | 0.4624          | 0.9454              | 2     |
| 0.4334     | 0.9490         | 0.4594          | 0.9459              | 3     |
| 0.4250     | 0.9503         | 0.4570          | 0.9464              | 4     |
| 0.4180     | 0.9513         | 0.4556          | 0.9466              | 5     |
| 0.4114     | 0.9523         | 0.4545          | 0.9469              | 6     |
| 0.4052     | 0.9532         | 0.4537          | 0.9471              | 7     |
| 0.3997     | 0.9540         | 0.4541          | 0.9471              | 8     |
| 0.3943     | 0.9548         | 0.4533          | 0.9473              | 9     |
| 0.3891     | 0.9556         | 0.4538          | 0.9474              | 10    |
| 0.3838     | 0.9563         | 0.4549          | 0.9474              | 11    |
| 0.3791     | 0.9570         | 0.4558          | 0.9474              | 12    |
| 0.3744     | 0.9577         | 0.4573          | 0.9473              | 13    |
| 0.3698     | 0.9584         | 0.4586          | 0.9472              | 14    |


### Framework versions

- Transformers 4.27.4
- TensorFlow 2.11.0
- Datasets 2.11.0
- Tokenizers 0.13.2