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Julio-Cortazar – AI Model by guidoivetta | AlphaNeural AI

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guidoivetta/
Julio-Cortazar

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text-generation

generated_from_trainer

DeepESP/gpt2-spanish

autotrain_compatible

text-generation-inference

endpoints_compatible

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Julio-Cortazar

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: 4.0935
eval_runtime: 5.799
eval_samples_per_second: 488.015
eval_steps_per_second: 61.045
epoch: 1.0
step: 1416

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