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Gemma-2-2B_task-2_60-samples_config-2_full_auto
GaetanMichelet/Gemma-2-2B_task-2_60-samples_config-2_full_auto
Gemma-2-2B_task-2_60-samples_config-2_full_auto 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. --
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At a glance
- Library
- peft
- License
- gemma
- Model type
- gemma2
- Access
- Public
- Created
- Aug 27, 2024
- Updated
- Aug 27, 2024
- SHA
- 650254e9
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-2_60-samples_config-2_full_auto
This model is a fine-tuned version of google/gemma-2-2b-it on the GaetanMichelet/chat-60_ft_task-2_auto dataset. It achieves the following results on the evaluation set:
- Loss: 0.8896
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 |
|---|---|---|---|
| 1.2776 | 0.6957 | 2 | 1.3061 |
| 1.2902 | 1.7391 | 5 | 1.2795 |
| 1.2269 | 2.7826 | 8 | 1.1875 |
| 1.1326 | 3.8261 | 11 | 1.1151 |
| 1.0639 | 4.8696 | 14 | 1.0711 |
| 1.016 | 5.9130 | 17 | 1.0248 |
| 0.9412 | 6.9565 | 20 | 0.9830 |
| 0.9191 | 8.0 | 23 | 0.9520 |
| 0.8743 | 8.6957 | 25 | 0.9389 |
| 0.8391 | 9.7391 | 28 | 0.9238 |
| 0.8374 | 10.7826 | 31 | 0.9124 |
| 0.8155 | 11.8261 | 34 | 0.9037 |
| 0.782 | 12.8696 | 37 | 0.8979 |
| 0.7796 | 13.9130 | 40 | 0.8937 |
| 0.7521 | 14.9565 | 43 | 0.8909 |
| 0.752 | 16.0 | 46 | 0.8899 |
| 0.715 | 16.6957 | 48 | 0.8896 |
| 0.726 | 17.7391 | 51 | 0.8901 |
| 0.7131 | 18.7826 | 54 | 0.8918 |
| 0.6912 | 19.8261 | 57 | 0.8945 |
| 0.6795 | 20.8696 | 60 | 0.8986 |
| 0.6741 | 21.9130 | 63 | 0.9028 |
| 0.654 | 22.9565 | 66 | 0.9070 |
| 0.6469 | 24.0 | 69 | 0.9121 |
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 27, 2024
- Updated
- Aug 27, 2024