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jlg-model – AI Model by dandrade | AlphaNeural AI
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dandrade
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jlg-model
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transformers
pytorch
gpt2
text-generation
generated_from_trainer
es
dandrade/canciones_juan_luis_guerra
apache-2.0
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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Model card
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jlg-model
This model is a fine-tuned version of
datificate/gpt2-small-spanish
on the None dataset. It achieves the following results on the evaluation set:
Loss: 3.4882
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
No log
1.0
42
3.5391
No log
2.0
84
3.5001
No log
3.0
126
3.4882
Framework versions
Transformers 4.26.0
Pytorch 1.13.1+cu116
Datasets 2.9.0
Tokenizers 0.13.2
