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outputs – AI Model by vanbujm | AlphaNeural AI

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

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outputs

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: 0.0001
train_batch_size: 1
eval_batch_size: 8
seed: 3407
gradient_accumulation_steps: 4
total_train_batch_size: 4
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 10
training_steps: 240

Training results

Framework versions

PEFT 0.12.0
Transformers 4.45.1
Pytorch 2.4.0+cu121
Datasets 3.0.0
Tokenizers 0.20.0