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--- |
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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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- trl |
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- dpo |
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- alignment-handbook |
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- generated_from_trainer |
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model-index: |
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- name: zephyr-7b-dpo-full-prometheus_consistent-reward-scale-1-rpo |
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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-dpo-full-prometheus_consistent-reward-scale-1-rpo |
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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 None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0341 |
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- Rewards/chosen: -0.0738 |
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- Rewards/rejected: -0.3717 |
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- Rewards/accuracies: 0.7414 |
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- Rewards/margins: 0.2979 |
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- Logps/rejected: -256.2462 |
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- Logps/chosen: -282.9861 |
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- Logits/rejected: -2.4523 |
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- Logits/chosen: -2.5611 |
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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-07 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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- seed: 55 |
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- distributed_type: multi-GPU |
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- num_devices: 8 |
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- gradient_accumulation_steps: 2 |
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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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| 0.048 | 0.1143 | 50 | 0.0428 | 0.0621 | -0.0550 | 0.7026 | 0.1170 | -224.5715 | -269.3974 | -2.4545 | -2.5523 | |
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| 0.04 | 0.2286 | 100 | 0.0385 | -0.0777 | -0.3186 | 0.75 | 0.2409 | -250.9367 | -283.3715 | -1.9565 | -2.1306 | |
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| 0.0363 | 0.3429 | 150 | 0.0371 | -0.2052 | -0.4595 | 0.7543 | 0.2543 | -265.0228 | -296.1211 | -2.1955 | -2.3441 | |
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| 0.0373 | 0.4571 | 200 | 0.0353 | -0.0452 | -0.3269 | 0.7716 | 0.2817 | -251.7630 | -280.1239 | -2.3848 | -2.4903 | |
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| 0.0374 | 0.5714 | 250 | 0.0344 | -0.0802 | -0.3463 | 0.75 | 0.2662 | -253.7082 | -283.6198 | -2.4307 | -2.5245 | |
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| 0.0346 | 0.6857 | 300 | 0.0342 | -0.0372 | -0.3195 | 0.7457 | 0.2823 | -251.0285 | -279.3270 | -2.4797 | -2.5812 | |
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| 0.0375 | 0.8 | 350 | 0.0342 | -0.0783 | -0.3746 | 0.7414 | 0.2963 | -256.5389 | -283.4324 | -2.4474 | -2.5561 | |
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| 0.0367 | 0.9143 | 400 | 0.0341 | -0.0738 | -0.3717 | 0.7414 | 0.2979 | -256.2462 | -282.9861 | -2.4523 | -2.5611 | |
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### Framework versions |
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- Transformers 4.44.0.dev0 |
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- Pytorch 2.1.2 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
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