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Mistral-7B-Instruct-v0.2-GPTQ-finetuned-samsum – AI Model by smd29 | AlphaNeural AI
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smd29
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Mistral-7B-Instruct-v0.2-GPTQ-finetuned-samsum
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peft
tensorboard
safetensors
trl
sft
generated_from_trainer
TheBloke/Mistral-7B-Instruct-v0.1-GPTQ
adapter
apache-2.0
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Mistral-7B-Instruct-v0.2-GPTQ-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: 4
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 8
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
training_steps: 250
Training results
Framework versions
PEFT 0.12.0
Transformers 4.42.4
Pytorch 2.4.0+cu121
Datasets 2.21.0
Tokenizers 0.19.1
