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Mistral-7B-v0.1-alpaca-2k-test – AI Model by Tensoic | AlphaNeural AI

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Tensoic/
Mistral-7B-v0.1-alpaca-2k-test

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text-generation

mistralai/Mistral-7B-v0.1

autotrain_compatible

text-generation-inference

endpoints_compatible

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Tensoic - Mistral-7B-v0.1-alpaca-2k-test

Our first fine tune of the Mistral 7B on the Alpaca-2k-test dataset. Feel free to play around!

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 0.0002
train_batch_size: 1
eval_batch_size: 1
seed: 42
distributed_type: multi-GPU
num_devices: 8
gradient_accumulation_steps: 2
total_train_batch_size: 16
total_eval_batch_size: 8
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 10
num_epochs: 3

Framework versions

Transformers 4.34.0.dev0
Pytorch 2.0.1+cu117
Datasets 2.14.5
Tokenizers 0.14.0