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Edgar-Allan-Poe – AI Model by sofiabobbiesi | AlphaNeural AI
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Edgar-Allan-Poe
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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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Edgar-Allan-Poe
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: 2.9803
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: 16
eval_batch_size: 16
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
3.1953
1.0
2416
3.1038
2.927
2.0
4832
3.0185
2.7176
3.0
7248
2.9858
2.6847
4.0
9664
2.9803
Framework versions
Transformers 4.33.1
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.13.3
