opt_2.7b_wiki_ce / README.md
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metadata
license: other
tags:
  - generated_from_trainer
base_model: facebook/opt-1.3b
model-index:
  - name: opt_2.7b_wiki_ce
    results: []

opt_2.7b_wiki_ce

This model is a fine-tuned version of facebook/opt-1.3b on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 2.4190

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: 1e-05
  • train_batch_size: 4
  • eval_batch_size: 4
  • seed: 42
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 8
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 500
  • num_epochs: 1
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss
2.6033 0.4354 500 2.4562
2.5267 0.8707 1000 2.4247

Framework versions

  • Transformers 4.40.2
  • Pytorch 2.2.2
  • Datasets 2.19.1
  • Tokenizers 0.19.1