tilyupo/t5-base-trivia-c2a

t5-base-trivia-v2-c2a

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

• Train Loss: 0.0262
• Validation Loss: 0.0442
• Epoch: 2

{'eval_loss': 0.6880931854248047,
 'eval_bleu': 41.64364079630949,
 'eval_rouge1': 49.33,
 'eval_rouge2': 23.97,
 'eval_rougeL': 49.37,
 'eval_rougeLsum': 49.34,
 'eval_exact': 0.4503935477601788,
 'eval_runtime': 571.9059,
 'eval_samples_per_second': 17.994,
 'eval_steps_per_second': 0.563}

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
0.1841	0.0419	0
0.0358	0.0415	1
0.0262	0.0442	2

Framework versions

• Transformers 4.31.0
• TensorFlow 2.12.0
• Datasets 2.14.3
• Tokenizers 0.13.3