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mistral-supervised – AI Model by codefactory4791 | AlphaNeural AI
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mistral-supervised
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mistral
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mistral-supervised
This model is a fine-tuned version of
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 3.4161
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: 5e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
5.8982
0.5889
500
4.6761
4.2609
1.1779
1000
3.9880
3.7225
1.7668
1500
3.6593
3.433
2.3557
2000
3.4856
3.2793
2.9446
2500
3.4161
Framework versions
Transformers 4.43.3
Pytorch 2.3.1+cu121
Datasets 2.20.0
Tokenizers 0.19.1