| license: gemma | |
| datasets: | |
| - anthracite-org/stheno-filtered-v1.1 | |
| base_model: google/gemma-2-2b-it | |
|  | |
| # QuantFactory/Gemma-2-2B-Stheno-Filtered-GGUF | |
| This is quantized version of [SaisExperiments/Gemma-2-2B-Stheno-Filtered](https://huggingface.co/SaisExperiments/Gemma-2-2B-Stheno-Filtered) created using llama.cpp | |
| # Original Model Card | |
|  | |
| I don't have anything else so you get a cursed cat image | |
| # Basic info | |
| This is [anthracite-org/stheno-filtered-v1.1](https://huggingface.co/datasets/anthracite-org/stheno-filtered-v1.1) over [unsloth/gemma-2-2b-it](https://huggingface.co/unsloth/gemma-2-2b-it) | |
| It saw 76.6M tokens | |
| This time it took 14 hours and i'm pretty sure i've been training with the wrong prompt template X-X | |
| # Training config: | |
| ``` | |
| cutoff_len: 1024 | |
| dataset: stheno-3.4 | |
| dataset_dir: data | |
| ddp_timeout: 180000000 | |
| do_train: true | |
| finetuning_type: lora | |
| flash_attn: auto | |
| fp16: true | |
| gradient_accumulation_steps: 8 | |
| include_num_input_tokens_seen: true | |
| learning_rate: 5.0e-05 | |
| logging_steps: 5 | |
| lora_alpha: 64 | |
| lora_dropout: 0 | |
| lora_rank: 64 | |
| lora_target: all | |
| lr_scheduler_type: cosine | |
| max_grad_norm: 1.0 | |
| max_samples: 100000 | |
| model_name_or_path: unsloth/gemma-2-2b-it | |
| num_train_epochs: 3.0 | |
| optim: adamw_8bit | |
| output_dir: saves/Gemma-2-2B-Chat/lora/stheno | |
| packing: false | |
| per_device_train_batch_size: 2 | |
| plot_loss: true | |
| preprocessing_num_workers: 16 | |
| quantization_bit: 4 | |
| quantization_method: bitsandbytes | |
| report_to: none | |
| save_steps: 100 | |
| stage: sft | |
| template: gemma | |
| use_unsloth: true | |
| warmup_steps: 0 | |
| ``` | |