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gpt-neo-125m-cs-finetuning – AI Model by KimByeongSu | AlphaNeural AI
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KimByeongSu
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gpt-neo-125m-cs-finetuning
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transformers
tensorboard
safetensors
gpt_neo
text-generation
generated_from_trainer
EleutherAI/gpt-neo-125m
finetune
mit
autotrain_compatible
endpoints_compatible
us
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gpt-neo-125m-cs-finetuning
This model is a fine-tuned version of
EleutherAI/gpt-neo-125m
on the None dataset. It achieves the following results on the evaluation set:
Loss: 3.1602
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
3.2942
1.0
1331
3.2314
3.1075
2.0
2662
3.1742
3.0252
3.0
3993
3.1602
Framework versions
Transformers 4.36.2
Pytorch 1.13.1+cu117
Datasets 2.14.6
Tokenizers 0.15.0
