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gpt-neo-2.7B-cs-finetuning-7-60000 – AI Model by KimByeongSu | AlphaNeural AI
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gpt-neo-2.7B-cs-finetuning-7-60000
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transformers
safetensors
gpt_neo
text-generation
generated_from_trainer
EleutherAI/gpt-neo-2.7B
finetune
mit
autotrain_compatible
endpoints_compatible
us
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gpt-neo-2.7B-cs-finetuning-7-60000
This model is a fine-tuned version of
EleutherAI/gpt-neo-2.7B
on the None dataset. It achieves the following results on the evaluation set:
Loss: 2.4477
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
2.5787
1.0
765
2.4157
1.8828
2.0
1530
2.3721
1.4804
3.0
2295
2.4477
Framework versions
Transformers 4.37.2
Pytorch 2.2.1
Datasets 2.12.0
Tokenizers 0.15.1
