Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
KimByeongSu_-_gpt-neo-2.7B-cs-finetuning-7-4bits – AI Model by RichardErkhov | AlphaNeural AI
You can deploy this model and start earning money today!
RichardErkhov
/
KimByeongSu_-_gpt-neo-2.7B-cs-finetuning-7-4bits
like
0
safetensors
gpt_neo
4-bit
bitsandbytes
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
Quantization made by Richard Erkhov.
Github
Discord
Request more models
gpt-neo-2.7B-cs-finetuning-7 - bnb 4bits
Model creator:
https://huggingface.co/KimByeongSu/
Original model:
https://huggingface.co/KimByeongSu/gpt-neo-2.7B-cs-finetuning-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-7 results: []
gpt-neo-2.7B-cs-finetuning-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: 1.6803
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
2.4775
1.0
1329
2.3779
1.8846
2.0
2658
2.3283
1.4746
3.0
3993
1.6803
Framework versions
Transformers 4.37.2
Pytorch 2.2.1
Datasets 2.12.0
Tokenizers 0.15.1
