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WebSquareAI-finetuning – AI Model by breathemm | AlphaNeural AI
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WebSquareAI-finetuning
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peft
safetensors
generated_from_trainer
kimwooglae/WebSquareAI-Instruct-KoSOLAR-10.7b-v0.5.34
adapter
cc-by-nc-4.0
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WebSquareAI-finetuning
This model is a fine-tuned version of
kimwooglae/WebSquareAI-Instruct-KoSOLAR-10.7b-v0.5.34
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.6374
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: 0.0003
train_batch_size: 4
eval_batch_size: 4
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
num_epochs: 3
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
0.6412
1.0
84
0.6449
0.497
2.0
168
0.6082
0.3357
3.0
252
0.6374
Framework versions
PEFT 0.9.0
Transformers 4.38.2
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2
