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t5-small-trivia-v2-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: 0.0310
• Validation Loss: 0.0498
• Epoch: 2

<pre> {'eval_loss': 0.7987052202224731, 'eval_bleu': 39.12838308579063, 'eval_rouge1': 47.52, 'eval_rouge2': 22.83, 'eval_rougeL': 47.56, 'eval_rougeLsum': 47.54, 'eval_exact': 0.4314449518997182, 'eval_runtime': 171.499, 'eval_samples_per_second': 60.006, 'eval_steps_per_second': 1.878} </pre>

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

Framework versions

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