optimizer: {'name': 'Adam', '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': np.float32(2e-05), 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
training_precision: float32

Train Loss	Validation Loss	Train Rougel	Epoch
2.7789	2.4145	tf.Tensor(0.13031076, shape=(), dtype=float32)	0
2.5703	2.3506	tf.Tensor(0.13201845, shape=(), dtype=float32)	1
2.5134	2.3142	tf.Tensor(0.13232088, shape=(), dtype=float32)	2
2.4756	2.2953	tf.Tensor(0.13219163, shape=(), dtype=float32)	3
2.4465	2.2800	tf.Tensor(0.13203089, shape=(), dtype=float32)	4
2.4212	2.2616	tf.Tensor(0.13182268, shape=(), dtype=float32)	5
2.4019	2.2559	tf.Tensor(0.1319159, shape=(), dtype=float32)	6
2.3805	2.2441	tf.Tensor(0.13226406, shape=(), dtype=float32)	7
2.3643	2.2370	tf.Tensor(0.13255906, shape=(), dtype=float32)	8
2.3494	2.2283	tf.Tensor(0.13286902, shape=(), dtype=float32)	9

AbSadr/AbSadr-Finetuned-Transformer-F

AbSadr-Finetuned-Transformer-F