metadata
tags:
- generated_from_keras_callback
model-index:
- name: ASL_t5_word_epoch15_1204
results: []
ASL_t5_word_epoch15_1204
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 0.6353
- Train Top 1: 0.8837
- Train Top 5: 0.9260
- Validation Loss: 0.7085
- Validation Top 1: 0.8757
- Validation Top 5: 0.9198
- Train Bleu: 0.0
- Train Gen Len: 2.0
- 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': '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': 1e-04, '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 |
|---|---|---|---|---|---|---|---|---|
| 0.7484 | 0.8717 | 0.9143 | 0.6913 | 0.8819 | 0.9227 | 0.0 | 2.0 | 0 |
| 0.6793 | 0.8787 | 0.9218 | 0.6967 | 0.8807 | 0.9220 | 0.0 | 2.0 | 1 |
| 0.6353 | 0.8837 | 0.9260 | 0.7085 | 0.8757 | 0.9198 | 0.0 | 2.0 | 2 |
Framework versions
- Transformers 4.34.1
- TensorFlow 2.13.0
- Datasets 2.15.0
- Tokenizers 0.14.1