109 lines
3.4 KiB
Markdown
109 lines
3.4 KiB
Markdown
---
|
||
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:
|
||
- Open-Orca/SlimOrca-Dedup
|
||
---
|
||
|
||
|
||
|
||
# Gemmalpaca-2B
|
||
|
||
This is gemma-2b model supervised fine-tuned on the [Open-Orca/SlimOrca-Dedup](https://huggingface.co/datasets/Open-Orca/SlimOrca-Dedup) dataset. It's not as good as [mlabonne/Gemmalpaca-2B](https://huggingface.co/mlabonne/Gemmalpaca-2B).
|
||
|
||
## 🏆 Evaluation
|
||
|
||
### Nous
|
||
|
||
Gemmalpaca-2B outperforms gemma-2b but underperforms 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 |
|
||
| [**mlabonne/OrcaGemma-2B**](https://huggingface.co/mlabonne/OrcaGemma-2B) [📄](https://gist.github.com/mlabonne/c8c0914945f9c189cca74120bc834c3e) | **35.63** | **24.44** | **42.49** | **45.84** | **29.76** |
|
||
| [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: google/gemma-2b
|
||
model_type: AutoModelForCausalLM
|
||
tokenizer_type: AutoTokenizer
|
||
|
||
load_in_8bit: false
|
||
load_in_4bit: true
|
||
strict: false
|
||
|
||
datasets:
|
||
- path: Open-Orca/SlimOrca-Dedup
|
||
type: sharegpt
|
||
|
||
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: 2
|
||
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: 10
|
||
eval_table_size:
|
||
eval_table_max_new_tokens: 128
|
||
saves_per_epoch: 1
|
||
debug:
|
||
deepspeed:
|
||
weight_decay: 0.1
|
||
fsdp:
|
||
fsdp_config:
|
||
special_tokens:
|
||
```
|
||
|
||
[<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) |