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opt-350m-finetuned-cola

Text Classification
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PyTorch
opt
Generated from Trainer
text-generation-inference
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opt-350m-finetuned-cola / README.md
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metadata
license: other
tags:
  - generated_from_trainer
datasets:
  - glue
base_model: facebook/opt-350m
model-index:
  - name: opt-350m-finetuned-cola
    results: []

opt-350m-finetuned-cola

This model is a fine-tuned version of facebook/opt-350m on the glue dataset. It achieves the following results on the evaluation set:

  • eval_loss: 0.5491
  • eval_matthews_correlation: 0.4348
  • eval_runtime: 47.8666
  • eval_samples_per_second: 21.79
  • eval_steps_per_second: 1.379
  • epoch: 2.0
  • step: 1070

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: 16
  • eval_batch_size: 16
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 5

Framework versions

  • Transformers 4.22.0.dev0
  • Pytorch 1.12.1
  • Datasets 2.4.0
  • Tokenizers 0.11.0