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--- |
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library_name: transformers |
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license: apache-2.0 |
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base_model: alignment-handbook/zephyr-7b-sft-full |
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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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- 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: zephyr-7b-align-scan-6e-07-0.53-polynomial-2.0 |
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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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# zephyr-7b-align-scan-6e-07-0.53-polynomial-2.0 |
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This model is a fine-tuned version of [alignment-handbook/zephyr-7b-sft-full](https://huggingface.co/alignment-handbook/zephyr-7b-sft-full) on the HuggingFaceH4/ultrafeedback_binarized dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.8595 |
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- Rewards/chosen: 1.8502 |
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- Rewards/rejected: 0.6070 |
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- Rewards/accuracies: 0.3393 |
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- Rewards/margins: 1.2433 |
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- Logps/rejected: -79.9832 |
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- Logps/chosen: -71.0003 |
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- Logits/rejected: -2.6929 |
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- Logits/chosen: -2.7082 |
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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: 6e-07 |
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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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- distributed_type: multi-GPU |
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- num_devices: 4 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 64 |
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- total_eval_batch_size: 32 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: polynomial |
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- lr_scheduler_warmup_ratio: 0.1 |
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- num_epochs: 2 |
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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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| 0.7136 | 0.3484 | 100 | 0.7109 | 1.4011 | 0.8625 | 0.3512 | 0.5386 | -79.5010 | -71.8476 | -2.5458 | -2.5618 | |
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| 0.7461 | 0.6969 | 200 | 0.7643 | 1.0640 | 0.3687 | 0.3274 | 0.6952 | -80.4327 | -72.4838 | -2.5601 | -2.5759 | |
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| 0.3949 | 1.0453 | 300 | 0.7875 | 0.2070 | -0.6350 | 0.3472 | 0.8420 | -82.3265 | -74.1006 | -2.6135 | -2.6292 | |
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| 0.3838 | 1.3937 | 400 | 0.8714 | 0.4396 | -0.7042 | 0.3294 | 1.1438 | -82.4571 | -73.6618 | -2.6266 | -2.6422 | |
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| 0.371 | 1.7422 | 500 | 0.8639 | 0.6923 | -0.5434 | 0.3393 | 1.2357 | -82.1536 | -73.1851 | -2.6910 | -2.7068 | |
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### Framework versions |
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- Transformers 4.44.2 |
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- Pytorch 2.4.0 |
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- Datasets 2.21.0 |
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- Tokenizers 0.19.1 |
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