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KimByeongSu_-_gpt-neo-2.7B-cs-finetuning-filtered-7-4bits – AI Model by RichardErkhov | AlphaNeural AI
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KimByeongSu_-_gpt-neo-2.7B-cs-finetuning-filtered-7-4bits
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gpt-neo-2.7B-cs-finetuning-filtered-7 - bnb 4bits
Model creator:
https://huggingface.co/KimByeongSu/
Original model:
https://huggingface.co/KimByeongSu/gpt-neo-2.7B-cs-finetuning-filtered-7/
Original model description:
license: mit tags:
generated_from_trainer base_model: EleutherAI/gpt-neo-2.7B model-index:
name: gpt-neo-2.7B-cs-finetuning-filtered-7 results: []
gpt-neo-2.7B-cs-finetuning-filtered-7
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: 2.4260
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
2.5821
1.0
948
2.3921
1.8935
2.0
1896
2.3477
1.4596
3.0
2844
2.4260
Framework versions
Transformers 4.37.2
Pytorch 2.2.1
Datasets 2.12.0
Tokenizers 0.15.1
