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finetune-paper-model – AI Model by shubhamgantayat | AlphaNeural AI
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shubhamgantayat
/
finetune-paper-model
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transformers
tensorboard
safetensors
gpt2
text-generation
generated_from_trainer
shubhamgantayat/paper-model
finetune
mit
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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finetune-paper-model
This model is a fine-tuned version of
shubhamgantayat/paper-model
on the None dataset. It achieves the following results on the evaluation set:
Loss: 3.6512
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
Training results
Training Loss
Epoch
Step
Validation Loss
4.0141
1.0
997
3.7167
3.7731
2.0
1994
3.6591
3.7082
3.0
2991
3.6512
Framework versions
Transformers 4.35.2
Pytorch 2.1.0+cu121
Datasets 2.17.1
Tokenizers 0.15.2
