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borges_clm-model – AI Model by adleme94 | AlphaNeural AI
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borges_clm-model
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transformers
pytorch
gpt2
text-generation
generated_from_trainer
mit
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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borges_clm-model
This model is a fine-tuned version of
DeepESP/gpt2-spanish-medium
on the None dataset. It achieves the following results on the evaluation set:
Loss: 3.7991
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
10
3.9138
No log
2.0
20
3.8214
No log
3.0
30
3.7991
Framework versions
Transformers 4.29.2
Pytorch 2.0.1
Datasets 2.12.0
Tokenizers 0.13.2
