Julio-Cortazar – AI Model by GuntherFrager | AlphaNeural AI

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GuntherFrager/
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:

Loss: 2.4635

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: 64
eval_batch_size: 64
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 12

Training results

Training Loss	Epoch	Step	Validation Loss
2.625	1.0	177	2.5849
2.5334	2.0	354	2.5254
2.4463	3.0	531	2.4991
2.2868	4.0	708	2.4825
2.198	5.0	885	2.4753
2.1981	6.0	1062	2.4707
2.096	7.0	1239	2.4655
1.9984	8.0	1416	2.4642
1.9602	9.0	1593	2.4631
2.0752	10.0	1770	2.4636
2.0311	11.0	1947	2.4635
2.0731	12.0	2124	2.4635

Framework versions

Transformers 4.33.1
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.13.3