s-man2099/google-mt5-small-good

This model is a fine-tuned version of google/mt5-small on an unknown dataset. It achieves the following results on the evaluation set:

• Train Loss: 16.1010
• Validation Loss: 11.7026
• Epoch: 7

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': 5.999999e-13, 'beta_2_decay': -0.8, 'epsilon_1': 1e-30, 'epsilon_2': 0.001, 'clip_threshold': 1.0, 'relative_step': True}
• training_precision: mixed_float16

Training results

Train Loss	Validation Loss	Epoch
20.3587	12.0966	0
16.3140	11.7366	1
16.2230	11.7036	2
15.8933	11.7026	3
15.9325	11.7026	4
16.2546	11.7026	5
16.2823	11.7026	6
16.1010	11.7026	7

Framework versions

• Transformers 4.34.1
• TensorFlow 2.13.0
• Datasets 2.14.5
• Tokenizers 0.14.1