Vasanth
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xwin-finetuned-alpaca-cleaned

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xwin-finetuned-alpaca-cleaned

This model is a fine-tuned version of TheBloke/Xwin-LM-7B-V0.1-GPTQ on the None dataset.

Model description

More information needed

Intended uses & limitations

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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: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
training_steps: 250

Training results

Framework versions

Transformers 4.33.2
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.13.3

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Model tree for Vasanth/xwin-finetuned-alpaca-cleaned

Base model

TheBloke/Xwin-LM-7B-V0.1-GPTQ

Finetuned

(9)

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Evaluation results

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