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multilabel_classification_v2 – AI Model by dendimaki | AlphaNeural AI
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dendimaki
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multilabel_classification_v2
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peft
tensorboard
safetensors
generated_from_trainer
mistralai/Mistral-7B-v0.1
adapter
apache-2.0
us
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multilabel_classification
This model is a fine-tuned version of
mistralai/Mistral-7B-v0.1
on the None dataset.
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: linear
num_epochs: 1
Training results
Training Loss
Epoch
Step
Validation Loss
F1 Micro
F1 Macro
F1 Weighted
No log
1.0
478
0.0906
0.3919
0.1371
0.3467
Framework versions
PEFT 0.10.0
Transformers 4.40.0
Pytorch 2.2.1+cu121
Datasets 2.19.0
Tokenizers 0.19.1
