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--- |
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base_model: anthracite-org/magnum-v2-4b |
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library_name: peft |
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license: other |
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tags: |
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- llama-factory |
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- lora |
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- generated_from_trainer |
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model-index: |
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- name: magnum-4b-KTO-test |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# magnum-4b-KTO-test |
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This model is a fine-tuned version of [anthracite-org/magnum-v2-4b](https://huggingface.co./anthracite-org/magnum-v2-4b) on the combined_new_22k.json dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5030 |
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- Rewards/chosen: 0.0007 |
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- Logps/chosen: -11.2857 |
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- Rewards/rejected: -0.0006 |
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- Logps/rejected: -10.6547 |
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- Rewards/margins: 0.0013 |
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- Kl: 0.0009 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 5e-06 |
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- train_batch_size: 2 |
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- eval_batch_size: 2 |
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- seed: 42 |
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- distributed_type: multi-GPU |
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- num_devices: 8 |
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- gradient_accumulation_steps: 48 |
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- total_train_batch_size: 768 |
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- total_eval_batch_size: 16 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_ratio: 0.01 |
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- num_epochs: 2.0 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Logps/chosen | Rewards/rejected | Logps/rejected | Rewards/margins | Kl | |
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|:-------------:|:------:|:----:|:---------------:|:--------------:|:------------:|:----------------:|:--------------:|:---------------:|:------:| |
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| 0.5042 | 0.2788 | 16 | 0.5038 | 0.0004 | -11.2884 | -0.0004 | -10.6529 | 0.0008 | 0.0022 | |
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| 0.5037 | 0.5575 | 32 | 0.5033 | 0.0006 | -11.2865 | -0.0008 | -10.6565 | 0.0014 | 0.0013 | |
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| 0.5035 | 0.8363 | 48 | 0.5041 | 0.0003 | -11.2899 | -0.0006 | -10.6546 | 0.0008 | 0.0016 | |
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| 0.5037 | 1.1151 | 64 | 0.5035 | 0.0005 | -11.2872 | -0.0005 | -10.6540 | 0.0011 | 0.0017 | |
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| 0.5036 | 1.3938 | 80 | 0.5036 | 0.0005 | -11.2874 | -0.0005 | -10.6535 | 0.0010 | 0.0010 | |
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| 0.5032 | 1.6726 | 96 | 0.5035 | 0.0006 | -11.2867 | -0.0005 | -10.6541 | 0.0011 | 0.0012 | |
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| 0.5036 | 1.9514 | 112 | 0.5037 | 0.0006 | -11.2869 | -0.0006 | -10.6546 | 0.0011 | 0.0009 | |
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### Framework versions |
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- PEFT 0.12.0 |
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- Transformers 4.45.0.dev0 |
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- Pytorch 2.2.0+cu121 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
