ayshi/basic_distil

This model is a fine-tuned version of ayshi/basic_distil on an unknown dataset. It achieves the following results on the evaluation set:

• Train Loss: 0.0114
• Validation Loss: 1.0035
• Train Accuracy: 0.7911
• Epoch: 19

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': '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': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 640, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False}
• training_precision: float32

Training results

Train Loss	Validation Loss	Train Accuracy	Epoch
0.3282	0.7966	0.7644	0
0.2163	0.8219	0.7778	1
0.1323	0.8099	0.7778	2
0.0933	0.8337	0.7956	3
0.0619	0.9082	0.7689	4
0.0461	0.9380	0.7778	5
0.0495	0.9502	0.7556	6
0.0301	0.9445	0.7733	7
0.0249	0.9578	0.8	8
0.0209	0.9663	0.7911	9
0.0200	0.9828	0.7778	10
0.0159	0.9987	0.7689	11
0.0163	1.0120	0.7689	12
0.0142	1.0020	0.7956	13
0.0153	1.0270	0.7911	14
0.0142	1.0159	0.7822	15
0.0130	1.0049	0.7911	16
0.0129	1.0085	0.7956	17
0.0099	1.0033	0.7911	18
0.0114	1.0035	0.7911	19

Framework versions

• Transformers 4.34.0
• TensorFlow 2.13.0
• Datasets 2.14.5
• Tokenizers 0.14.1