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Mistral-7B-Instruct-v0.3-qlora-modular – AI Model by TripleH | AlphaNeural AI
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Mistral-7B-Instruct-v0.3-qlora-modular
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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-modular
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: 2.3800
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: 4
total_train_batch_size: 4
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 100
num_epochs: 15
Training results
Training Loss
Epoch
Step
Validation Loss
2.7014
4.1778
50
2.0791
0.4637
8.3556
100
2.1977
0.3718
12.5333
150
2.3800
Framework versions
PEFT 0.16.0
Transformers 4.53.1
Pytorch 2.6.0+cu124
Datasets 2.14.4
Tokenizers 0.21.2
