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Gemma-2-2B_task-3_60-samples_config-2_full
GaetanMichelet/Gemma-2-2B_task-3_60-samples_config-2_full
Gemma-2-2B_task-3_60-samples_config-2_full 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
- c1120f82
Base models
Datasets
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_60-samples_config-2_full
This model is a fine-tuned version of google/gemma-2-2b-it on the GaetanMichelet/chat-60_ft_task-3 dataset. It achieves the following results on the evaluation set:
- Loss: 0.9617
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 |
|---|---|---|---|
| 1.3564 | 0.6957 | 2 | 1.3659 |
| 1.3765 | 1.7391 | 5 | 1.3404 |
| 1.3125 | 2.7826 | 8 | 1.2526 |
| 1.2213 | 3.8261 | 11 | 1.1815 |
| 1.1432 | 4.8696 | 14 | 1.1329 |
| 1.0949 | 5.9130 | 17 | 1.0849 |
| 1.0142 | 6.9565 | 20 | 1.0435 |
| 0.9925 | 8.0 | 23 | 1.0153 |
| 0.9508 | 8.6957 | 25 | 1.0030 |
| 0.9191 | 9.7391 | 28 | 0.9871 |
| 0.9172 | 10.7826 | 31 | 0.9778 |
| 0.892 | 11.8261 | 34 | 0.9705 |
| 0.8585 | 12.8696 | 37 | 0.9655 |
| 0.8535 | 13.9130 | 40 | 0.9630 |
| 0.8316 | 14.9565 | 43 | 0.9618 |
| 0.8242 | 16.0 | 46 | 0.9617 |
| 0.7836 | 16.6957 | 48 | 0.9622 |
| 0.7962 | 17.7391 | 51 | 0.9640 |
| 0.7851 | 18.7826 | 54 | 0.9657 |
| 0.7553 | 19.8261 | 57 | 0.9702 |
| 0.7474 | 20.8696 | 60 | 0.9767 |
| 0.7352 | 21.9130 | 63 | 0.9822 |
| 0.7191 | 22.9565 | 66 | 0.9871 |
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