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--- |
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license: other |
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base_model: apple/OpenELM-270M |
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tags: |
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- trl |
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- orpo |
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- generated_from_trainer |
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model-index: |
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- name: ft-openelm-270m-ultrafeedback |
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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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# ft-openelm-270m-ultrafeedback |
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This model is a fine-tuned version of [apple/OpenELM-270M](https://huggingface.co/apple/OpenELM-270M) on the HuggingFaceH4/ultrafeedback_binarized dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.6455 |
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- Rewards/chosen: -0.1995 |
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- Rewards/rejected: -0.2029 |
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- Rewards/accuracies: 0.5050 |
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- Rewards/margins: 0.0035 |
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- Logps/rejected: -2.0293 |
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- Logps/chosen: -1.9941 |
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- Logits/rejected: -5.7383 |
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- Logits/chosen: -6.1055 |
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- Nll Loss: 1.5752 |
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- Log Odds Ratio: -0.7037 |
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- Log Odds Chosen: 0.0445 |
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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: 8e-06 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 2 |
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- total_train_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: 0.1 |
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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 | Nll Loss | Log Odds Ratio | Log Odds Chosen | |
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|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|:--------:|:--------------:|:---------------:| |
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| 1.7595 | 0.53 | 100 | 1.6455 | -0.1995 | -0.2029 | 0.5050 | 0.0035 | -2.0293 | -1.9941 | -5.7383 | -6.1055 | 1.5752 | -0.7037 | 0.0445 | |
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### Framework versions |
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- Transformers 4.39.3 |
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- Pytorch 2.1.2 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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