flan-t5-large_MeDistill_46_ep20
This model is a fine-tuned version of google/flan-t5-large on an unknown dataset.
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: 2
- eval_batch_size: 32
- seed: 42
- distributed_type: multi-GPU
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 20
Training results
Framework versions
- Transformers 4.39.3
- Pytorch 2.0.1
- Datasets 2.19.2
- Tokenizers 0.15.2
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Base model
google/flan-t5-large