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mistral-qlora – AI Model by emmalybaek | AlphaNeural AI
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emmalybaek
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mistral-qlora
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peft
tensorboard
safetensors
trl
sft
generated_from_trainer
generator
mistralai/Mistral-7B-v0.3
adapter
apache-2.0
us
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mistral-qlora
This model is a fine-tuned version of
mistralai/Mistral-7B-v0.3
on the generator dataset. It achieves the following results on the evaluation set:
Loss: 1.1043
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: 0.0005
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
num_epochs: 2
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
1.3197
0.4717
25
1.1871
1.2338
0.9434
50
1.1517
1.1627
1.4151
75
1.1142
1.1482
1.8868
100
1.1043
Framework versions
PEFT 0.12.0
Transformers 4.44.2
Pytorch 2.9.0+cu128
Datasets 2.20.0
Tokenizers 0.19.1
