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punctuation_model_v3-long – AI Model by PanditaInfernal | AlphaNeural AI
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punctuation_model_v3-long
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transformers
tensorboard
safetensors
generated_from_trainer
datificate/gpt2-small-spanish
finetune
apache-2.0
endpoints_compatible
us
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punctuation_model_v3-long
This model is a fine-tuned version of
datificate/gpt2-small-spanish
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.2654
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: 5e-05
train_batch_size: 6
eval_batch_size: 8
seed: 42
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
0.3789
1.0
750
0.2605
0.3067
2.0
1500
0.3096
0.1926
3.0
2250
0.2654
Framework versions
Transformers 4.47.1
Pytorch 2.2.1+cu121
Datasets 3.2.0
Tokenizers 0.21.0
