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mistral-snomed-classification – AI Model by shirleylqs | AlphaNeural AI
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shirleylqs
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mistral-snomed-classification
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transformers
safetensors
mistral
text-classification
generated_from_trainer
mistralai/Mistral-7B-v0.1
finetune
apache-2.0
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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Model card
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results
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: 0.4972
Accuracy: 0.9440
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-06
train_batch_size: 4
eval_batch_size: 48
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.3355
1.0
7990
0.6075
0.9138
0.0
2.0
15980
0.4972
0.9440
Framework versions
Transformers 4.35.0
Pytorch 2.1.0+cu121
Datasets 2.14.6
Tokenizers 0.14.1
