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