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outputs – AI Model by hungphongtrn | AlphaNeural AI

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hungphongtrn/
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filipealmeida/Mistral-7B-Instruct-v0.1-sharded

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outputs

This model is a fine-tuned version of filipealmeida/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: 1
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 4
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 2
training_steps: 20
mixed_precision_training: Native AMP

Training results

Framework versions

Transformers 4.35.0.dev0
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.14.1