metadata
base_model: deanna-emery/ASL_t5_movinet_sentence
tags:
- generated_from_keras_callback
model-index:
- name: ASL_t5_movinet_sentence
results: []
ASL_t5_movinet_sentence
This model is a fine-tuned version of 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