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xwin-finetuned-alpaca-cleaned – AI Model by David19930 | AlphaNeural AI
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David19930
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xwin-finetuned-alpaca-cleaned
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peft
tensorboard
safetensors
trl
sft
generated_from_trainer
TheBloke/Xwin-LM-7B-V0.1-GPTQ
adapter
llama2
us
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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
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: 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
PEFT 0.7.2.dev0
Transformers 4.37.0.dev0
Pytorch 2.1.0+cu121
Datasets 2.16.0
Tokenizers 0.15.0
