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mistral-qlora_v4 – AI Model by emmalybaek | AlphaNeural AI
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emmalybaek
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mistral-qlora_v4
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peft
safetensors
trl
sft
generated_from_trainer
generator
mistralai/Mistral-7B-v0.3
adapter
apache-2.0
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mistral-qlora_v4
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: 1.3065
Mean Token Accuracy: 0.6847
Num Tokens: 896294
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: 3e-05
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
lr_scheduler_warmup_ratio: 0.1
num_epochs: 3
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Mean Token Accuracy
Num Tokens
1.4435
0.6452
20
1.3836
0.6751
896294
1.3568
1.2903
40
1.3390
0.6800
896294
1.3366
1.9355
60
1.3145
0.6837
896294
1.3456
2.5806
80
1.3065
0.6847
896294
Framework versions
PEFT 0.12.0
Transformers 4.44.2
Pytorch 2.8.0+cu126
Datasets 2.20.0
Tokenizers 0.19.1
