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fine-tuned-fpm-gpt2 – AI Model by iqbalsingh | AlphaNeural AI
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fine-tuned-fpm-gpt2
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transformers
safetensors
gpt2
text-generation
generated_from_trainer
openai-community/gpt2
finetune
mit
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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fine-tuned-fpm-gpt2
This model is a fine-tuned version of
gpt2
on the None dataset. It achieves the following results on the evaluation set:
Loss: 2.9994
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: 8
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
No log
1.0
2
3.6385
No log
2.0
4
3.2059
No log
3.0
6
2.9994
Framework versions
Transformers 4.46.3
Pytorch 2.4.1+cpu
Datasets 3.1.0
Tokenizers 0.20.3
