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Mistral-EN-Part-2 – AI Model by SamChen888 | AlphaNeural AI
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Mistral-EN-Part-2
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peft
safetensors
llama-factory
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unsloth
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unsloth/mistral-7b-instruct-v0.3-bnb-4bit
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2_part
This model is a fine-tuned version of
mistralai/Mistral-7B-Instruct-v0.3
on the en_train_part_1 and the en_train_part_3 datasets.
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: 3e-05
train_batch_size: 4
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 8
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
num_epochs: 3.0
Training results
Framework versions
PEFT 0.12.0
Transformers 4.49.0
Pytorch 2.6.0+cu124
Datasets 3.2.0
Tokenizers 0.21.0
