Downloads · 30 days
10
20% of all-time downloads
Gemma-2-2B_task-3_120-samples_config-2
GaetanMichelet/Gemma-2-2B_task-3_120-samples_config-2
Gemma-2-2B_task-3_120-samples_config-2 is a machine learning model from GaetanMichelet. 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
49
Public
Repo size
1.3 GB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors83.1 MB · 79%
At a glance
- Library
- peft
- License
- gemma
- Model type
- gemma2
- Access
- Public
- Created
- Aug 22, 2024
- Updated
- Aug 22, 2024
- SHA
- 5487184e
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. -->
Gemma-2-2B_task-3_120-samples_config-2
This model is a fine-tuned version of google/gemma-2-2b-it on the GaetanMichelet/chat-60_ft_task-3 and the GaetanMichelet/chat-120_ft_task-3 datasets. It achieves the following results on the evaluation set:
- Loss: 0.4495
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: 0.0001
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- gradient_accumulation_steps: 16
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 50
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.2814 | 0.9091 | 5 | 3.2207 |
| 2.3853 | 2.0 | 11 | 1.7735 |
| 1.0517 | 2.9091 | 16 | 0.9646 |
| 0.6575 | 4.0 | 22 | 0.6096 |
| 0.4492 | 4.9091 | 27 | 0.5386 |
| 0.3535 | 6.0 | 33 | 0.4848 |
| 0.3521 | 6.9091 | 38 | 0.4613 |
| 0.2821 | 8.0 | 44 | 0.4495 |
| 0.1878 | 8.9091 | 49 | 0.4496 |
| 0.1547 | 10.0 | 55 | 0.4928 |
| 0.1539 | 10.9091 | 60 | 0.4977 |
| 0.1194 | 12.0 | 66 | 0.6056 |
| 0.0872 | 12.9091 | 71 | 0.6938 |
| 0.0274 | 14.0 | 77 | 0.8379 |
| 0.0195 | 14.9091 | 82 | 0.8741 |
Framework versions
- PEFT 0.12.0
- Transformers 4.44.0
- Pytorch 2.1.2+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
- Library
- peft
- Type
- gemma2
- License
- gemma
- Created
- Aug 22, 2024
- Updated
- Aug 22, 2024