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t5-generalist-retuned

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t5-generalist-retuned / README.md
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GoldEgbuonu
T5 Generalist model re-tuned with more data.
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metadata
library_name: transformers
license: apache-2.0
base_model: t5-base
tags:
  - generated_from_trainer
model-index:
  - name: t5-generalist-retuned
    results: []

t5-generalist-retuned

This model is a fine-tuned version of t5-base on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 2.0293

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:

  • learning_rate: 2e-05
  • train_batch_size: 8
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • lr_scheduler_type: cosine
  • num_epochs: 4
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss
2.3699 1.0 1875 2.0565
2.2648 2.0 3750 2.0139
2.2262 3.0 5625 2.0099
2.2705 4.0 7500 2.0293

Framework versions

  • Transformers 4.55.2
  • Pytorch 2.8.0+cu126
  • Datasets 4.0.0
  • Tokenizers 0.21.4