t5-small-trivia-gpu-ca2q

This model is a fine-tuned version of google/flan-t5-small on an unknown dataset. It achieves the following results on the evaluation set:

• Train Loss: 1.2675
• Validation Loss: 1.3898
• 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': 0.00014285714, 'beta_2_decay': -0.8, 'epsilon_1': 1e-30, 'epsilon_2': 0.001, 'clip_threshold': 1.0, 'relative_step': False}
• training_precision: mixed_bfloat16

Training results

Train Loss	Validation Loss	Epoch
1.7429	1.4649	0
1.4976	1.4196	1
1.3663	1.3913	2
1.2675	1.3898	3

Framework versions

• Transformers 4.31.0
• TensorFlow 2.13.0
• Datasets 2.14.3
• Tokenizers 0.13.3