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org_aug_a – AI Model by Stern5497 | AlphaNeural AI
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Stern5497
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org_aug_a
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peft
safetensors
generated_from_trainer
mistralai/Mistral-7B-v0.1
adapter
apache-2.0
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org_aug_a
This model is a fine-tuned version of
mistralai/Mistral-7B-v0.1
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.8627
F1 Micro: 0.6194
F1 Macro: 0.6193
F1 Weighted: 0.6193
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: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
training_steps: 2001
Training results
Training Loss
Epoch
Step
Validation Loss
F1 Micro
F1 Macro
F1 Weighted
0.9832
0.2548
2000
0.8627
0.6194
0.6193
0.6193
Framework versions
PEFT 0.10.0
Transformers 4.40.2
Pytorch 2.3.0+cu118
Datasets 2.19.0
Tokenizers 0.19.1
