Regret: Should have not targeted Q, V, K, O; as those are less impactful for "healing" but more impactful on performance otherwise. Still works great!
qlora
This model is a fine-tuned version of athirdpath/BigMistral-11b on the athirdpath/Merge_Glue dataset.
It achieves the following results on the evaluation set:
Loss: 0.9174
Before and After Example
Example model is athirdpath/CleverMage-11b
Example with LoRA (min_p, alpaca)
Example without LoRA (min_p, chatML)
Training hyperparameters
The following hyperparameters were used during training:
learning_rate: 0.0005
train_batch_size: 10
eval_batch_size: 10
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 40
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
