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KimByeongSu_-_gpt-neo-2.7B-cs-finetuning-500-1-8bits – AI Model by RichardErkhov | AlphaNeural AI
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KimByeongSu_-_gpt-neo-2.7B-cs-finetuning-500-1-8bits
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gpt-neo-2.7B-cs-finetuning-500-1 - bnb 8bits
Model creator:
https://huggingface.co/KimByeongSu/
Original model:
https://huggingface.co/KimByeongSu/gpt-neo-2.7B-cs-finetuning-500-1/
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-500-1 results: []
gpt-neo-2.7B-cs-finetuning-500-1
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: 3.0095
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
No log
1.0
51
2.8264
No log
2.0
102
2.8271
No log
3.0
153
3.0095
Framework versions
Transformers 4.37.2
Pytorch 2.2.1
Datasets 2.12.0
Tokenizers 0.15.1
