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Mistral7B-inst-clar – AI Model by erbacher | AlphaNeural AI

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Mistral7B-inst-clar

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

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Mistral7B-inst-clar

This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.1 on the None 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: 0.0004
train_batch_size: 16
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5

Training results

Framework versions

Transformers 4.34.0
Pytorch 2.0.1+cu117
Datasets 2.11.0
Tokenizers 0.14.0