---
license: apache-2.0
base_model: google/t5-v1_1-small
tags:
- generated_from_keras_callback
model-index:
- name: dot-ammar/dotless-model-medium-mixed
  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. -->

# dot-ammar/dotless-model-medium-mixed

This model is a fine-tuned version of [google/t5-v1_1-small](https://huggingface.co/google/t5-v1_1-small) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 0.1392
- Train Accuracy: 0.9818
- Validation Loss: 0.0706
- Validation Accuracy: 0.9919
- 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': 'AdamWeightDecay', 'learning_rate': 2e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
- training_precision: float32

### Training results

| Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Epoch |
|:----------:|:--------------:|:---------------:|:-------------------:|:-----:|
| 2.8556     | 0.6713         | 0.1201          | 0.9890              | 0     |
| 0.2501     | 0.9667         | 0.0858          | 0.9912              | 1     |
| 0.1392     | 0.9818         | 0.0706          | 0.9919              | 2     |


### Framework versions

- Transformers 4.33.0
- TensorFlow 2.12.0
- Datasets 2.1.0
- Tokenizers 0.13.3