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opt-350m-boolq

Text Classification
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PyTorch
English
opt
Generated from Trainer
Eval Results
text-generation-inference
Inference Endpoints
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opt-350m-boolq / README.md
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metadata
license: other
base_model: facebook/opt-350m
tags:
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: opt-350m-boolq
    results: []

opt-350m-boolq

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

  • Loss: 0.8184
  • Accuracy: 0.6743

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: 16
  • eval_batch_size: 32
  • seed: 42
  • gradient_accumulation_steps: 8
  • total_train_batch_size: 128
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 4

Training results

Training Loss Epoch Step Validation Loss Accuracy
No log 0.99 73 0.7308 0.6217
No log 1.99 147 0.6529 0.6159
No log 3.0 221 0.6295 0.6844
No log 3.96 292 0.8184 0.6743

Framework versions

  • Transformers 4.31.0
  • Pytorch 2.0.1+cu117
  • Datasets 2.18.0
  • Tokenizers 0.13.3