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End of training
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metadata
license: other
base_model: facebook/opt-350m
tags:
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: opt-350m-lora-1.57M-snli-model3
    results: []

opt-350m-lora-1.57M-snli-model3

This model is a fine-tuned version of facebook/opt-350m on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.8582
  • Accuracy: 0.686

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: 2e-05
  • train_batch_size: 256
  • eval_batch_size: 256
  • seed: 75
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 3

Training results

Training Loss Epoch Step Validation Loss Accuracy
0.5032 1.0 2146 0.4190 0.8378
0.4594 2.0 4292 0.3869 0.8562
0.4445 3.0 6438 0.3771 0.8623

Framework versions

  • Transformers 4.35.2
  • Pytorch 2.1.1+cu121
  • Datasets 2.15.0
  • Tokenizers 0.15.0