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positive_model – AI Model by sluan00 | AlphaNeural AI
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positive_model
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transformers
tensorboard
safetensors
gpt2
text-generation
generated_from_trainer
openai-community/gpt2
finetune
mit
text-generation-inference
endpoints_compatible
us
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positive_model
This model is a fine-tuned version of
gpt2
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 3.5580
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: 32
eval_batch_size: 32
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 4
Training results
Training Loss
Epoch
Step
Validation Loss
No log
1.0
157
3.5740
No log
2.0
314
3.5613
No log
3.0
471
3.5587
3.6233
4.0
628
3.5580
Framework versions
Transformers 4.56.0
Pytorch 2.8.0+cu129
Tokenizers 0.22.0
