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mistral-finetuned-samsum – AI Model by narensymb | AlphaNeural AI

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narensymb/
mistral-finetuned-samsum

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TheBloke/Mistral-7B-Instruct-v0.1-GPTQ

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mistral-finetuned-samsum

This model is a fine-tuned version of TheBloke/Mistral-7B-Instruct-v0.1-GPTQ on the None 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: 6
total_train_batch_size: 6
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
training_steps: 250

Training results

Framework versions

Transformers 4.35.0.dev0
Pytorch 2.1.0+cu121
Datasets 2.14.6
Tokenizers 0.14.1