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flan-t5-xl-finetuned-gsm8k

This model is a fine-tuned version of google/flan-t5-xl on the gsm8k dataset. It achieves the following results on the evaluation set:

  • Loss: 0.2853

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: 5e-05
  • train_batch_size: 1
  • eval_batch_size: 2
  • seed: 42
  • gradient_accumulation_steps: 4
  • total_train_batch_size: 4
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 4

Training results

Training Loss Epoch Step Validation Loss
0.2845 1.0 1868 0.2778
0.2204 2.0 3736 0.2718
0.1803 3.0 5604 0.2762
0.1578 4.0 7472 0.2853

Framework versions

  • Transformers 4.24.0
  • Pytorch 1.12.1+cu113
  • Datasets 2.6.1
  • Tokenizers 0.13.2
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Dataset used to train mrm8488/flan-t5-xl-finetuned-gsm8k