Downloads · 30 days
3
16% of all-time downloads
0721_222324-google-gemma-2b
steve-sli/0721_222324-google-gemma-2b
0721_222324-google-gemma-2b is a machine learning model from steve-sli. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft. The card lists the license as gemma.
should probably proofread and complete it, then remove this comment. --
All-time downloads
19
Public
Repo size
74.8 MB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors57.2 MB · 77%
At a glance
- Library
- peft
- License
- gemma
- Access
- Public
- Created
- Jul 21, 2024
- Updated
- Jul 21, 2024
- SHA
- f9a0baed
Base models
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
0721_222324-google-gemma-2b
This model is a fine-tuned version of google/gemma-2b on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2063
- Accuracy: 1.0
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 1e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 100.0
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.6308 | 3.3333 | 5 | 0.6551 | 0.7 |
| 0.6283 | 6.6667 | 10 | 0.6179 | 0.75 |
| 0.5927 | 10.0 | 15 | 0.5822 | 0.75 |
| 0.6668 | 13.3333 | 20 | 0.5473 | 0.8 |
| 0.5427 | 16.6667 | 25 | 0.5125 | 0.85 |
| 0.5109 | 20.0 | 30 | 0.4783 | 0.85 |
| 0.4731 | 23.3333 | 35 | 0.4456 | 0.95 |
| 0.4261 | 26.6667 | 40 | 0.4137 | 0.95 |
| 0.3719 | 30.0 | 45 | 0.3832 | 0.95 |
| 0.4027 | 33.3333 | 50 | 0.3542 | 0.95 |
| 0.3231 | 36.6667 | 55 | 0.3276 | 1.0 |
| 0.3292 | 40.0 | 60 | 0.3032 | 1.0 |
| 0.3517 | 43.3333 | 65 | 0.2810 | 1.0 |
| 0.2759 | 46.6667 | 70 | 0.2618 | 1.0 |
| 0.2743 | 50.0 | 75 | 0.2448 | 1.0 |
| 0.2651 | 53.3333 | 80 | 0.2310 | 1.0 |
| 0.2181 | 56.6667 | 85 | 0.2203 | 1.0 |
| 0.2067 | 60.0 | 90 | 0.2127 | 1.0 |
| 0.2268 | 63.3333 | 95 | 0.2081 | 1.0 |
| 0.2014 | 66.6667 | 100 | 0.2063 | 1.0 |
Framework versions
- PEFT 0.11.1
- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
- Library
- peft
- License
- gemma
- Created
- Jul 21, 2024
- Updated
- Jul 21, 2024