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mistral-7b-instruct-qlora-pmd – AI Model by nolnolon | AlphaNeural AI
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nolnolon
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mistral-7b-instruct-qlora-pmd
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peft
safetensors
adapter
lora
transformers
text-generation
conversational
mistralai/Mistral-7B-Instruct-v0.3
apache-2.0
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mistral-7b-instruct-v0-3-qlora-meetsum
This model is a fine-tuned version of
mistralai/Mistral-7B-Instruct-v0.3
on the None dataset. It achieves the following results on the evaluation set:
Loss: 1.6568
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: 1
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 8
optimizer: Use OptimizerNames.PAGED_ADAMW_8BIT with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 0.03
num_epochs: 1
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
1.7517
1.0
10
1.6568
Framework versions
PEFT 0.19.1
Transformers 5.13.1
Pytorch 2.11.0+cu128
Datasets 2.21.0
Tokenizers 0.22.2
