ASL_t5_movinet_sentence

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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

Framework versions

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