g3-12b-it-unalign

g3-12b-it-unalign

This model is a fine-tuned version of unsloth/gemma-3-12b-it on the ToastyPigeon/unalign-v2 dataset. It achieves the following results on the evaluation set:

• Loss: 1.4684

So, it seems alright. I noticed however that the responses got pretty short at the end of the 2nd epoch. Not like, unusably short, but generally shorter than I personally like.

The epoch 1 test gguf is based on this commit.

I personally prefer epoch 1 to epoch 2, and will likely update this or make a second proper commit for epoch 1.

Update: I did indeed make a second commit for the epoch 1 checkpoint.

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 1e-05
• train_batch_size: 4
• eval_batch_size: 4
• seed: 69
• optimizer: Use apollo_adamw_layerwise with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=proj=random,rank=1,scale=128.0,scale_type=tensor,update_proj_gap=200
• lr_scheduler_type: cosine
• lr_scheduler_warmup_steps: 5
• num_epochs: 2.0

Training results

Framework versions

• Transformers 4.50.0.dev0
• Pytorch 2.5.1+cu124
• Datasets 3.4.1
• Tokenizers 0.21.1