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Julio-Cortazar – AI Model by valentinbrodsky | AlphaNeural AI
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Julio-Cortazar
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transformers
pytorch
gpt2
text-generation
generated_from_trainer
DeepESP/gpt2-spanish
finetune
mit
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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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: 2.8513
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: 4
Training results
Training Loss
Epoch
Step
Validation Loss
2.9109
1.0
1416
2.9021
2.7648
2.0
2832
2.8566
2.3745
3.0
4248
2.8494
2.3727
4.0
5664
2.8513
Framework versions
Transformers 4.33.1
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.13.3
