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mt0-large_lora_627_lr5e-05_bs4_epoch5_wd0.01

This model is a fine-tuned version of bigscience/mt0-large on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.0015

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: 4
  • eval_batch_size: 4
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 500
  • num_epochs: 5

Training results

Training Loss Epoch Step Validation Loss
0.5765 1.0 157 0.2644
0.1485 2.0 314 0.0381
0.0619 3.0 471 0.0112
0.0287 4.0 628 0.0017
0.0297 5.0 785 0.0015

Framework versions

  • PEFT 0.7.1
  • Transformers 4.36.2
  • Pytorch 2.0.1
  • Datasets 2.16.1
  • Tokenizers 0.15.0
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