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mixtral_train – AI Model by Berk | AlphaNeural AI | AlphaNeural AI

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mixtral_train

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mistralai/Mixtral-8x7B-v0.1

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mixtral_train

This model is a fine-tuned version of mistralai/Mixtral-8x7B-v0.1 on the generator dataset. It achieves the following results on the evaluation set:

eval_loss: 0.8533
eval_runtime: 141.9062
eval_samples_per_second: 3.622
eval_steps_per_second: 0.458
epoch: 5.97
step: 400

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: 2.5e-05
train_batch_size: 32
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 0.03
training_steps: 1000

Framework versions

PEFT 0.10.0
Transformers 4.39.3
Pytorch 2.2.2+cu121
Datasets 2.18.0
Tokenizers 0.15.2