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one_half_data_high_rank_v2 – AI Model by grace-pro | AlphaNeural AI
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grace-pro
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one_half_data_high_rank_v2
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peft
safetensors
generated_from_trainer
mistralai/Mistral-7B-v0.1
adapter
apache-2.0
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one_half_data_high_rank_v2
This model is a fine-tuned version of
mistralai/Mistral-7B-v0.1
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.6564
Precision: 0.8403
Recall: 0.9383
F1-score: 0.8866
Accuracy: 0.8450
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: 0.0001
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: constant
lr_scheduler_warmup_ratio: 0.1
num_epochs: 1
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Precision
Recall
F1-score
Accuracy
0.535
1.0
24544
0.6564
0.8403
0.9383
0.8866
0.8450
Framework versions
PEFT 0.9.0
Transformers 4.38.2
Pytorch 2.1.0+cu121
Datasets 2.18.0
Tokenizers 0.15.2
