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opt-125m-rte

Text Classification
Transformers
PyTorch
English
opt
Generated from Trainer
Eval Results
text-generation-inference
Inference Endpoints
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opt-125m-rte / README.md
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metadata
license: other
base_model: facebook/opt-125m
tags:
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: opt-125m-rte
    results: []

opt-125m-rte

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: 0.7647
  • Accuracy: 0.6354

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 0.97 19 0.6622 0.6462
No log 2.0 39 0.6257 0.6390
No log 2.97 58 0.7573 0.6354
No log 3.9 76 0.7647 0.6354

Framework versions

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