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Gemma-2-2B_task-3_180-samples_config-2_full_auto
GaetanMichelet/Gemma-2-2B_task-3_180-samples_config-2_full_auto
Gemma-2-2B_task-3_180-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 28, 2024
- SHA
- 1181b24c
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_180-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-3_auto, the GaetanMichelet/chat-120_ft_task-3_auto and the GaetanMichelet/chat-180_ft_task-3_auto datasets. It achieves the following results on the evaluation set:
- Loss: 0.9381
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 |
|---|---|---|---|
| 1.3868 | 0.9412 | 8 | 1.3681 |
| 1.2861 | 2.0 | 17 | 1.2338 |
| 1.1878 | 2.9412 | 25 | 1.1353 |
| 0.9929 | 4.0 | 34 | 1.0232 |
| 0.9221 | 4.9412 | 42 | 0.9788 |
| 0.9315 | 6.0 | 51 | 0.9563 |
| 0.9202 | 6.9412 | 59 | 0.9455 |
| 0.8604 | 8.0 | 68 | 0.9398 |
| 0.7955 | 8.9412 | 76 | 0.9381 |
| 0.7864 | 10.0 | 85 | 0.9430 |
| 0.7442 | 10.9412 | 93 | 0.9520 |
| 0.6892 | 12.0 | 102 | 0.9797 |
| 0.6833 | 12.9412 | 110 | 0.9951 |
| 0.649 | 14.0 | 119 | 1.0528 |
| 0.5557 | 14.9412 | 127 | 1.1159 |
| 0.4908 | 16.0 | 136 | 1.1622 |
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 28, 2024