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mistral7b_standard_loss – AI Model by nikolamilosevic | AlphaNeural AI

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mistral7b_standard_loss

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mistral7b_standard_loss

This model is a fine-tuned version of bn22/Mistral-7B-Instruct-v0.1-sharded on an unknown 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: 0.0002
train_batch_size: 2
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 3
num_epochs: 3
mixed_precision_training: Native AMP

Training results

Framework versions

Transformers 4.36.0.dev0
Pytorch 2.1.0+cu118
Tokenizers 0.15.0