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rap-clm – AI Model by oskrmiguel | AlphaNeural AI
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oskrmiguel
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rap-clm
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transformers
tensorboard
safetensors
gpt2
text-generation
generated_from_trainer
datificate/gpt2-small-spanish
finetune
apache-2.0
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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rap-clm
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: 3.9772
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
4.2062
1.0
6121
4.0747
4.0714
2.0
12242
3.9980
4.0246
3.0
18363
3.9772
Framework versions
Transformers 4.35.2
Pytorch 2.1.0+cu121
Datasets 2.16.1
Tokenizers 0.15.0
