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Prefix-Legal – AI Model by EshAhm | AlphaNeural AI
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Prefix-Legal
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mistralai/Mistral-7B-Instruct-v0.3
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Mistral-7B-Instruct-v0.3-Prefix-Legal
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 1.6282
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: 0.0002
train_batch_size: 4
eval_batch_size: 4
seed: 42
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
num_epochs: 5
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
1.3922
1.0
842
2.8185
0.8416
2.0
1684
2.0226
0.9202
3.0
2526
1.7657
0.8454
4.0
3368
1.6604
0.7601
5.0
4210
1.6282
Framework versions
PEFT 0.17.2.dev0
Transformers 4.56.1
Pytorch 2.8.0+cu126
Datasets 4.0.0
Tokenizers 0.22.0
