opt-125m-finetuned-mnli

This model is a fine-tuned version of facebook/opt-125m on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.7805
  • Accuracy: 0.5182

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: 10

Training results

Training Loss Epoch Step Validation Loss Accuracy
No log 1.0 1 0.8038 0.5185
No log 2.0 2 0.8023 0.5182
No log 3.0 3 0.8011 0.5182
No log 4.0 4 0.8003 0.5184
No log 5.0 5 0.7993 0.5184
No log 6.0 6 0.7982 0.5184
No log 7.0 7 0.7974 0.5182
No log 8.0 8 0.7968 0.5182
No log 9.0 9 0.7962 0.5181
No log 10.0 10 0.7960 0.5182

Framework versions

  • PEFT 0.10.0
  • Transformers 4.40.1
  • Pytorch 2.2.1+cu121
  • Datasets 2.19.0
  • Tokenizers 0.19.1
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