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mistral-qlora_v3 – AI Model by emmalybaek | AlphaNeural AI

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emmalybaek/
mistral-qlora_v3

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mistralai/Mistral-7B-v0.3

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mistral-qlora_v3

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:

eval_loss: 1.3119
eval_mean_token_accuracy: 0.6850
eval_num_tokens: 896294
eval_runtime: 866.9207
eval_samples_per_second: 2.023
eval_steps_per_second: 0.254
epoch: 1.9355
step: 60

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: 0.0001
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: 3
mixed_precision_training: Native AMP

Framework versions

PEFT 0.12.0
Transformers 4.44.2
Pytorch 2.8.0+cu126
Datasets 2.20.0
Tokenizers 0.19.1