metadata

license: apache-2.0
base_model: google/flan-t5-small
tags:
  - generated_from_keras_callback
model-index:
  - name: t5-small-trivia-gpu-c2a
    results: []

t5-small-trivia-gpu-c2a

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: 0.6412
Validation Loss: 0.8149
Epoch: 1

{'eval_loss': 0.7876685857772827,
 'eval_bleu': 35.10848749144238,
 'eval_rouge1': 46.59,
 'eval_rouge2': 22.34,
 'eval_rougeL': 46.62,
 'eval_rougeLsum': 46.58,
 'eval_exact': 0.41599455835195803,
 'eval_runtime': 175.9461,
 'eval_samples_per_second': 58.489,
 'eval_steps_per_second': 1.83}

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': 0.001, '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
0.9503	0.7819	0
0.6412	0.8149	1

Framework versions

Transformers 4.31.0
TensorFlow 2.13.0
Datasets 2.14.3
Tokenizers 0.13.3