tilyupo/t5-large-trivia-ca2q

t5-large-trivia-v2-ca2q

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

• Train Loss: 0.1879
• Validation Loss: 0.3243
• Epoch: 2

{'eval_loss': 1.0877012014389038,
 'eval_bleu': 21.018623207468856,
 'eval_rouge1': 58.42,
 'eval_rouge2': 35.27,
 'eval_rougeL': 51.13,
 'eval_rougeLsum': 51.15,
 'eval_exact': 0.02536196676707803,
 'eval_runtime': 346.7508,
 'eval_samples_per_second': 29.678,
 'eval_steps_per_second': 0.929}

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': False, 'is_legacy_optimizer': False, 'learning_rate': 0.001, 'beta_2_decay': -0.8, 'epsilon_1': 1e-30, 'epsilon_2': 0.001, 'clip_threshold': 1.0, 'relative_step': False}
• training_precision: float32

Training results

Train Loss	Validation Loss	Epoch
0.4719	0.3053	0
0.2556	0.3032	1
0.1879	0.3243	2

Framework versions

• Transformers 4.31.0
• TensorFlow 2.12.0
• Tokenizers 0.13.3