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Jose-Saramago

Text Generation
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PyTorch
gpt2
Generated from Trainer
text-generation-inference
Inference Endpoints
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metadata
license: mit
base_model: DeepESP/gpt2-spanish
tags:
  - generated_from_trainer
model-index:
  - name: Jose-Saramago
    results: []
widget:
  - text: Ayer al despertarme, sentí
    example_title: Despertar

Jose-Saramago

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

  • eval_loss: 3.5968
  • eval_runtime: 17.6249
  • eval_samples_per_second: 340.428
  • eval_steps_per_second: 42.553
  • epoch: 2.0
  • step: 6000

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: 10

Framework versions

  • Transformers 4.33.0
  • Pytorch 2.0.1+cu118
  • Datasets 2.14.4
  • Tokenizers 0.13.3