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reuters-gpt2-text-gen

Text Generation
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reuters-gpt2-text-gen / README.md
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metadata
license: mit
base_model: ganeshkamath89/reuters-gpt2-text-gen
tags:
  - generated_from_trainer
model-index:
  - name: reuters-gpt2-text-gen
    results: []

reuters-gpt2-text-gen

This model is a fine-tuned version of ganeshkamath89/reuters-gpt2-text-gen on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 5.0228

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: 0.0005
  • train_batch_size: 16
  • eval_batch_size: 16
  • 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: cosine
  • num_epochs: 1
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss
4.7518 1.0 269 5.0228

Framework versions

  • Transformers 4.38.2
  • Pytorch 2.1.2
  • Datasets 2.1.0
  • Tokenizers 0.15.2