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ldcc-finetuning – AI Model by breathemm | AlphaNeural AI
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breathemm
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ldcc-finetuning
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peft
safetensors
generated_from_trainer
LDCC/LDCC-SOLAR-10.7B
adapter
cc-by-nc-4.0
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LDCC-finetuning
This model is a fine-tuned version of
LDCC/LDCC-SOLAR-10.7B
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.6884
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: 0.0002
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 16
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
0.7581
1.0
21
0.7133
0.612
2.0
42
0.6810
0.4944
3.0
63
0.6884
Framework versions
PEFT 0.9.0
Transformers 4.38.2
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2
