|
--- |
|
library_name: transformers |
|
extra_gated_heading: Access Gemma on Hugging Face |
|
extra_gated_prompt: >- |
|
To access Gemma on Hugging Face, you’re required to review and agree to |
|
Google’s usage license. To do this, please ensure you’re logged-in to Hugging |
|
Face and click below. Requests are processed immediately. |
|
extra_gated_button_content: Acknowledge license |
|
license: other |
|
license_name: gemma-terms-of-use |
|
license_link: https://ai.google.dev/gemma/terms |
|
base_model: |
|
- google/gemma-2b |
|
datasets: |
|
- vicgalle/alpaca-gpt4 |
|
--- |
|
|
|
 |
|
|
|
# Gemmalpaca-2B |
|
|
|
This is gemma-2b model supervised fine-tuned on the [vicgalle/alpaca-gpt4](https://huggingface.co/datasets/vicgalle/alpaca-gpt4) dataset. It outperforms gemma-2b-it, Google's chat version, on Nous' benchmark suite. |
|
|
|
It's mostly a test to see how fine-tuning works with Gemma models on a well-known dataset. It turned out better than expected. :) |
|
|
|
## 🔍 Applications |
|
|
|
This model has a context length of 8k. I recommend using it with the Alpaca chat template and NOT the Gemma Instruct template (works perfectly with LM Studio). You also want to add `</s>` as a stop token. |
|
|
|
## ⚡ Quantized models |
|
|
|
* **GGUF**: https://huggingface.co/mlabonne/Gemmalpaca-2B-GGUF |
|
|
|
## 🏆 Evaluation |
|
|
|
### Nous |
|
|
|
Gemmalpaca-2B outperforms gemma-2b and gemma-2b-it on Nous' benchmark suite (evaluation performed using [LLM AutoEval](https://github.com/mlabonne/llm-autoeval)). See the entire leaderboard [here](https://huggingface.co/spaces/mlabonne/Yet_Another_LLM_Leaderboard). |
|
|
|
| Model | Average | AGIEval | GPT4All | TruthfulQA | Bigbench | |
|
|---|---:|---:|---:|---:|---:| |
|
| [mlabonne/Gemmalpaca-2B](https://huggingface.co/mlabonne/Gemmalpaca-2B) [📄](https://gist.github.com/mlabonne/4b638752fc3227df566f9562064cb864) | 38.39 | 24.48 | 51.22 | 47.02 | 30.85 | |
|
| [google/gemma-2b-it](https://huggingface.co/google/gemma-2b-it) [📄](https://gist.github.com/mlabonne/db0761e74175573292acf497da9e5d95) | 36.1 | 23.76 | 43.6 | 47.64 | 29.41 | |
|
| [google/gemma-2b](https://huggingface.co/google/gemma-2b) [📄](https://gist.github.com/mlabonne/7df1f238c515a5f63a750c8792cef59e) | 34.26 | 22.7 | 43.35 | 39.96 | 31.03 | |
|
|
|
## 🧩 Configuration |
|
|
|
It was trained using [Axolotl](https://github.com/OpenAccess-AI-Collective/axolotl) with the following configuration. |
|
|
|
```yaml |
|
base_model: alpindale/gemma-2b |
|
model_type: GemmaForCausalLM |
|
tokenizer_type: GemmaTokenizer |
|
|
|
load_in_8bit: false |
|
load_in_4bit: true |
|
strict: false |
|
|
|
datasets: |
|
- path: vicgalle/alpaca-gpt4 |
|
type: alpaca |
|
|
|
dataset_prepared_path: |
|
val_set_size: 0.01 |
|
output_dir: ./out |
|
|
|
sequence_len: 2048 |
|
sample_packing: true |
|
pad_to_sequence_len: true |
|
|
|
adapter: qlora |
|
lora_model_dir: |
|
lora_r: 32 |
|
lora_alpha: 64 |
|
lora_dropout: 0.05 |
|
lora_target_linear: true |
|
|
|
wandb_project: axolotl |
|
wandb_entity: |
|
wandb_watch: |
|
wandb_name: |
|
wandb_log_model: |
|
|
|
gradient_accumulation_steps: 4 |
|
micro_batch_size: 2 |
|
num_epochs: 3 |
|
optimizer: adamw_bnb_8bit |
|
lr_scheduler: cosine |
|
learning_rate: 0.0002 |
|
|
|
train_on_inputs: false |
|
group_by_length: false |
|
bf16: auto |
|
fp16: |
|
tf32: false |
|
|
|
gradient_checkpointing: true |
|
early_stopping_patience: |
|
resume_from_checkpoint: |
|
local_rank: |
|
logging_steps: 1 |
|
xformers_attention: |
|
flash_attention: |
|
|
|
warmup_steps: 10 |
|
evals_per_epoch: 4 |
|
eval_table_size: |
|
eval_table_max_new_tokens: 128 |
|
saves_per_epoch: 1 |
|
debug: |
|
deepspeed: |
|
weight_decay: 0.1 |
|
fsdp: |
|
fsdp_config: |
|
special_tokens: |
|
bos_token: <s> |
|
eos_token: </s> |
|
unk_token: <unk> |
|
``` |
|
|
|
[<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/OpenAccess-AI-Collective/axolotl) |
