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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

<pre>{'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} </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': 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

Framework versions

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