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pgd_mistral_lr2e-05_bs3_ep3_alpha16_rk4_do3.0e-01_wd2.0e-05 – AI Model by nelkh | AlphaNeural AI
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nelkh
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pgd_mistral_lr2e-05_bs3_ep3_alpha16_rk4_do3.0e-01_wd2.0e-05
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peft
safetensors
generated_from_trainer
mistralai/Mistral-7B-Instruct-v0.3
adapter
apache-2.0
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pgd_mistral_lr2e-05_bs3_ep3_alpha16_rk4_do3.0e-01_wd2.0e-05
This model is a fine-tuned version of
mistralai/Mistral-7B-Instruct-v0.3
on the None dataset. It achieves the following results on the evaluation set:
Loss: 1.8688
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: 3
eval_batch_size: 3
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 12
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 20
num_epochs: 3
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
3.065
0.9778
22
2.6614
2.2946
2.0
45
2.0795
1.928
2.9333
66
1.8688
Framework versions
PEFT 0.12.0
Transformers 4.42.4
Pytorch 2.4.0+cu121
Datasets 2.20.0
Tokenizers 0.19.1
