rap-clm / README.md
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End of training
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metadata
license: apache-2.0
base_model: datificate/gpt2-small-spanish
tags:
  - generated_from_trainer
model-index:
  - name: rap-clm
    results: []

rap-clm

This model is a fine-tuned version of datificate/gpt2-small-spanish on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 3.9772

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: 8
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 3.0

Training results

Training Loss Epoch Step Validation Loss
4.2062 1.0 6121 4.0747
4.0714 2.0 12242 3.9980
4.0246 3.0 18363 3.9772

Framework versions

  • Transformers 4.35.2
  • Pytorch 2.1.0+cu121
  • Datasets 2.16.1
  • Tokenizers 0.15.0