tilyupo/t5-xl-mmlu-qa2a

t5-xl-trivia-gpu-qa2a

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

• Train Loss: 2.3128
• Validation Loss: 2.4177
• Epoch: 0

{'eval_loss': 2.4550280570983887,
 'eval_bleu': 8.632073673720834,
 'eval_rouge1': 20.88,
 'eval_rouge2': 7.39,
 'eval_rougeL': 19.41,
 'eval_rougeLsum': 19.41,
 'eval_exact': 0.005216324025774778,
 'eval_runtime': 781.5544,
 'eval_samples_per_second': 16.68,
 'eval_steps_per_second': 2.086}

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': 0.0002, '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
2.3128	2.4177	0

Framework versions

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