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--- |
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library_name: peft |
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base_model: HuggingFaceTB/smollm2-1.7B-8k-mix7-ep2-v2 |
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tags: |
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- alignment-handbook |
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- trl |
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- dpo |
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- generated_from_trainer |
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datasets: |
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- HuggingFaceH4/ultrafeedback_binarized |
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model-index: |
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- name: smollm2-1.7B-8k-mix7-ep2-v2-qlora-r16-a16-lr3e4-mix1-dpo |
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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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# smollm2-1.7B-8k-mix7-ep2-v2-qlora-r16-a16-lr3e4-mix1-dpo |
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This model is a fine-tuned version of [gabrielmbmb/smollm2-1.7B-8k-mix7-ep2-v2-qlora-r16-a16-lr3e4-mix1](https://huggingface.co/gabrielmbmb/smollm2-1.7B-8k-mix7-ep2-v2-qlora-r16-a16-lr3e4-mix1) on the HuggingFaceH4/ultrafeedback_binarized dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5156 |
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- Rewards/chosen: -4.3948 |
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- Rewards/rejected: -5.4305 |
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- Rewards/accuracies: 0.7656 |
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- Rewards/margins: 1.0357 |
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- Logps/rejected: -849.2994 |
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- Logps/chosen: -752.2209 |
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- Logits/rejected: -1.2614 |
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- Logits/chosen: -1.2341 |
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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: 0.0003 |
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- train_batch_size: 4 |
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- eval_batch_size: 8 |
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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: 4 |
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- total_train_batch_size: 128 |
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- total_eval_batch_size: 64 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: cosine |
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- lr_scheduler_warmup_ratio: 0.1 |
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- num_epochs: 1 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen | |
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|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:| |
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| 0.5629 | 0.2093 | 100 | 0.5765 | -2.2363 | -2.7515 | 0.7227 | 0.5152 | -581.3958 | -536.3666 | -1.6836 | -1.6572 | |
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| 0.5499 | 0.4186 | 200 | 0.5310 | -3.6681 | -4.4704 | 0.7734 | 0.8022 | -753.2846 | -679.5535 | -0.8209 | -0.8334 | |
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| 0.511 | 0.6279 | 300 | 0.5225 | -4.8153 | -5.7685 | 0.7695 | 0.9532 | -883.0991 | -794.2732 | -1.1394 | -1.1157 | |
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| 0.508 | 0.8373 | 400 | 0.5157 | -4.3456 | -5.3593 | 0.7695 | 1.0137 | -842.1772 | -747.2964 | -1.2109 | -1.1871 | |
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### Framework versions |
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- PEFT 0.13.2 |
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- Transformers 4.45.0 |
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- Pytorch 2.4.1+cu121 |
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- Datasets 3.0.2 |
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- Tokenizers 0.20.1 |
