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Gemma-2-2b-it-BFI-Anonymous
kurileo/Gemma-2-2b-it-BFI-Anonymous
Gemma-2-2b-it-BFI-Anonymous is a machine learning model from kurileo. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as gemma.
should probably proofread and complete it, then remove this comment. --
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At a glance
- License
- gemma
- Model type
- gemma2
- Access
- Public
- Created
- Aug 28, 2024
- Updated
- Aug 28, 2024
- SHA
- 0e1fd454
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. -->
20240818_gemma-2-2b-it_full-anonymous-617_dpo-sft_BFI
This model is a fine-tuned version of google/gemma-2-2b-it on the BFI-anonymous-617_dpo_no-system_sharegpt_105 dataset. It achieves the following results on the evaluation set:
- Loss: 1.8025
- Rewards/chosen: 8.8006
- Rewards/rejected: 3.5406
- Rewards/accuracies: 0.9247
- Rewards/margins: 5.2600
- Logps/rejected: -78.8782
- Logps/chosen: -118.9999
- Logits/rejected: -4.3666
- Logits/chosen: -4.5476
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: 5e-06
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 8
- total_train_batch_size: 32
- total_eval_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 3.0
Training results
| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2.1444 | 0.4365 | 500 | 2.1669 | 6.0677 | 3.1466 | 0.9032 | 2.9211 | -82.8180 | -146.3293 | 0.2298 | 0.0904 |
| 1.9865 | 0.8731 | 1000 | 2.0409 | 6.5585 | 2.8550 | 0.8710 | 3.7036 | -85.7341 | -141.4206 | 1.2474 | 1.0619 |
| 1.4582 | 1.3096 | 1500 | 1.8728 | 8.1097 | 3.6131 | 0.9247 | 4.4967 | -78.1532 | -125.9085 | -0.5647 | -0.7531 |
| 1.4326 | 1.7462 | 2000 | 1.7866 | 8.5668 | 3.5837 | 0.9247 | 4.9831 | -78.4469 | -121.3381 | -1.9024 | -2.0860 |
| 1.0857 | 2.1827 | 2500 | 1.8025 | 8.6210 | 3.5507 | 0.9247 | 5.0704 | -78.7771 | -120.7956 | -3.4905 | -3.6840 |
| 1.0376 | 2.6192 | 3000 | 1.8047 | 8.7683 | 3.5103 | 0.9247 | 5.2580 | -79.1805 | -119.3225 | -4.2916 | -4.4732 |
Framework versions
- Transformers 4.43.1
- Pytorch 2.3.0a0+ebedce2
- Datasets 2.20.0
- Tokenizers 0.19.1
- Type
- gemma2
- License
- gemma
- Created
- Aug 28, 2024
- Updated
- Aug 28, 2024