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metadata
license: apache-2.0
library_name: peft
tags:
  - generated_from_trainer
base_model: google/flan-t5-base
model-index:
  - name: flan-t5-base-Mistral7BI-LORA-V1
    results: []

flan-t5-base-Mistral7BI-LORA-V1

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

  • Loss: 0.6273
  • Exact Match: 32.8431
  • Gen Len: 3.8500

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: 8
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 12

Training results

Training Loss Epoch Step Validation Loss Exact Match Gen Len
0.6768 1.0 4246 0.7026 24.8937 3.9547
0.6585 2.0 8492 0.6736 27.4687 3.9347
0.6501 3.0 12738 0.6543 29.961 3.8808
0.7615 4.0 16984 0.6446 29.7189 3.8876
0.5709 5.0 21230 0.6413 30.9828 3.8304
0.6062 6.0 25476 0.6387 31.7328 3.8798
0.5539 7.0 29722 0.6318 31.4907 3.8315
0.5708 8.0 33968 0.6319 32.2939 3.8669
0.6859 9.0 38214 0.6269 32.6069 3.8267
0.6026 10.0 42460 0.6271 32.6246 3.8338
0.5558 11.0 46706 0.6272 32.7014 3.8460
0.566 12.0 50952 0.6273 32.8431 3.8500

Framework versions

  • PEFT 0.11.1
  • Transformers 4.41.2
  • Pytorch 2.2.1
  • Datasets 2.19.2
  • Tokenizers 0.19.1