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quip-4k-mistral – AI Model by Anis1123 | AlphaNeural AI

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Anis1123/
quip-4k-mistral

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alexsherstinsky/Mistral-7B-v0.1-sharded

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4k_train_2024-10-16-09-48-21

This model is a fine-tuned version of alexsherstinsky/Mistral-7B-v0.1-sharded on the identity 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: 5e-05
train_batch_size: 2
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 2
gradient_accumulation_steps: 8
total_train_batch_size: 32
total_eval_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
num_epochs: 6.0

Training results

Framework versions

PEFT 0.12.0
Transformers 4.45.0
Pytorch 2.3.1+cu121
Datasets 2.21.0
Tokenizers 0.20.1