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Mistral_Sparse_refined_web_70p_2024-03-20 – AI Model by thrunlab | AlphaNeural AI

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thrunlab/
Mistral_Sparse_refined_web_70p_2024-03-20

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text-generation

generated_from_trainer

mistralai/Mistral-7B-v0.1

autotrain_compatible

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Mistral_Sparse_refined_web_70p_2024-03-20

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: 2.7015

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: 1e-05
train_batch_size: 1
eval_batch_size: 1
seed: 0
distributed_type: multi-GPU
num_devices: 4
gradient_accumulation_steps: 4
total_train_batch_size: 16
total_eval_batch_size: 4
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
training_steps: 1

Training results

Framework versions

Transformers 4.36.2
Pytorch 2.1.2+cu121
Datasets 2.15.0
Tokenizers 0.15.0