flan-t5
Collection
A set flant-t5 fine tuned models for practicing • 2 items • Updated
flan-t5-dialogue-summary-finetune
This model is a fine-tuned version of gnokit/flan-t5-dialogue-summary-finetune on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 29.8390
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: 1e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 3
Training results
Framework versions
- Transformers 4.49.0
- Pytorch 2.4.1+cu124
- Datasets 3.3.2
- Tokenizers 0.21.0
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