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mistral-experiment-6-merge – AI Model by fionazhang | AlphaNeural AI

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fionazhang/
mistral-experiment-6-merge

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mistralai/Mistral-7B-v0.1

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mistral-experiment-6

This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on the None dataset. It achieves the following results on the evaluation set:

Loss: 2.1400

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: 3
eval_batch_size: 3
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: constant
lr_scheduler_warmup_ratio: 0.03
num_epochs: 2

Training results

Framework versions

PEFT 0.7.1
Transformers 4.36.2
Pytorch 2.1.0a0+git7bcf7da
Datasets 2.16.1
Tokenizers 0.15.0