---
base_model: deanna-emery/ASL_t5_movinet_sentence
tags:
- generated_from_keras_callback
model-index:
- name: ASL_t5_movinet_sentence
  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. -->

# ASL_t5_movinet_sentence

This model is a fine-tuned version of [deanna-emery/ASL_t5_movinet_sentence](https://huggingface.co/deanna-emery/ASL_t5_movinet_sentence) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 0.1776
- Train Top 1: 0.9586
- Train Top 5: 0.9815
- Validation Loss: 0.3415
- Validation Top 1: 0.9408
- Validation Top 5: 0.9633
- Train Bleu: 1.984
- Train Gen Len: 12.7656
- Epoch: 3

## 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': 'Adafactor', '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': {'module': 'keras.optimizers.schedules', 'class_name': 'CosineDecay', 'config': {'initial_learning_rate': 0.0005, 'decay_steps': 3330, 'alpha': 0.0, 'name': None, 'warmup_target': 0.0005, 'warmup_steps': 600}, 'registered_name': None}, 'beta_2_decay': -0.8, 'epsilon_1': 1e-30, 'epsilon_2': 0.001, 'clip_threshold': 1.0, 'relative_step': True}
- training_precision: float32

### Training results

| Train Loss | Train Top 1 | Train Top 5 | Validation Loss | Validation Top 1 | Validation Top 5 | Train Bleu | Train Gen Len | Epoch |
|:----------:|:-----------:|:-----------:|:---------------:|:----------------:|:----------------:|:----------:|:-------------:|:-----:|
| 0.2351     | 0.9496      | 0.9736      | 0.3181          | 0.9413           | 0.9640           | 1.1898     | 13.0052       | 0     |
| 0.2173     | 0.9522      | 0.9760      | 0.3255          | 0.9409           | 0.9638           | 1.525      | 13.0182       | 1     |
| 0.1965     | 0.9554      | 0.9789      | 0.3372          | 0.9405           | 0.9630           | 1.4326     | 13.8776       | 2     |
| 0.1776     | 0.9586      | 0.9815      | 0.3415          | 0.9408           | 0.9633           | 1.984      | 12.7656       | 3     |


### Framework versions

- Transformers 4.34.1
- TensorFlow 2.13.0
- Datasets 2.15.0
- Tokenizers 0.14.1