sf_20240219_v1

This model is a fine-tuned version of nvidia/mit-b0 on an unknown dataset. It achieves the following results on the evaluation set:

• Train Loss: 0.0640
• Validation Loss: 0.0852
• 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': 6e-05, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
• training_precision: float32

Training results

Train Loss	Validation Loss	Epoch
0.3507	0.2338	0
0.1528	0.1519	1
0.1186	0.1249	2
0.1038	0.1116	3
0.1008	0.0938	4
0.0907	0.0920	5
0.0936	0.1053	6
0.0898	0.0914	7
0.0843	0.0833	8
0.0795	0.0828	9
0.0779	0.0875	10
0.0750	0.0818	11
0.0729	0.0877	12
0.0723	0.0769	13
0.0709	0.0939	14
0.0722	0.0787	15
0.0692	0.0796	16
0.0663	0.0736	17
0.0651	0.0727	18
0.0640	0.0852	19

Framework versions

• Transformers 4.37.0
• TensorFlow 2.15.0
• Datasets 2.1.0
• Tokenizers 0.15.1