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Mistral-Phy – AI Model by SriSanthM | AlphaNeural AI

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SriSanthM/
Mistral-Phy

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mistralai/Mistral-7B-Instruct-v0.1

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mistral_physs

This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.1 on the physics dataset.

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: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
num_epochs: 1.0
mixed_precision_training: Native AMP

Training results

Framework versions

PEFT 0.12.0
Transformers 4.43.4
Pytorch 2.2.1
Datasets 2.21.0
Tokenizers 0.19.1