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mistral_yelp_review_classifier – AI Model by NickArust | AlphaNeural AI
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NickArust
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mistral_yelp_review_classifier
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transformers
safetensors
mistral
text-classification
generated_from_trainer
mistralai/Mistral-7B-v0.1
finetune
apache-2.0
text-embeddings-inference
endpoints_compatible
us
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mistral_yelp_review_classifier
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: 2.9186
Accuracy: 0.421
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: 1e-06
train_batch_size: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 16
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 100
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
56.5727
1.0
63
6.4054
0.236
21.5558
2.0
126
3.1238
0.401
10.9458
3.0
189
2.9186
0.421
Framework versions
Transformers 4.57.1
Pytorch 2.9.0+cu128
Datasets 4.3.0
Tokenizers 0.22.1
