How to use from
Unsloth StudioInstall Unsloth Studio (Windows)
irm https://unsloth.ai/install.ps1 | iex
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for Angelectronic/gemma-ViMMRC-Answer to start chattingUsing HuggingFace Spaces for Unsloth
# No setup required# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for Angelectronic/gemma-ViMMRC-Answer to start chattingLoad model with FastModel
pip install unsloth
from unsloth import FastModel
model, tokenizer = FastModel.from_pretrained(
model_name="Angelectronic/gemma-ViMMRC-Answer",
max_seq_length=2048,
)Quick Links
gemma-ViMMRC-Answer
This model is a fine-tuned version of unsloth/gemma-1.1-7b-it-bnb-4bit on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1034
- Accuracy: 0.8493
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
- ViMMRC train and test set
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 16
- eval_batch_size: 8
- seed: 3407
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 5
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 13.1 | 0.3306 | 10 | 5.9870 |
| 2.4875 | 0.6612 | 20 | 1.1997 |
| 0.5062 | 0.9917 | 30 | 0.2423 |
| 0.1602 | 1.3223 | 40 | 0.1251 |
| 0.1289 | 1.6529 | 50 | 0.1156 |
| 0.1234 | 1.9835 | 60 | 0.1000 |
| 0.0727 | 2.3140 | 70 | 0.1068 |
| 0.0945 | 2.6446 | 80 | 0.1035 |
| 0.0785 | 2.9752 | 90 | 0.1034 |
Framework versions
- PEFT 0.10.0
- Transformers 4.40.2
- Pytorch 2.3.0
- Datasets 2.19.1
- Tokenizers 0.19.1
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Base model
unsloth/gemma-1.1-7b-it-bnb-4bit
Install Unsloth Studio (macOS, Linux, WSL)
# Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for Angelectronic/gemma-ViMMRC-Answer to start chatting