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--- |
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base_model: alignment-handbook/zephyr-7b-sft-full |
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datasets: |
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- generation/UF |
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library_name: peft |
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license: apache-2.0 |
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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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model-index: |
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- name: zephyr-dpop-qlora-uf-ours-5e-6-epoch1 |
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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-dpop-qlora-uf-ours-5e-6-epoch1 |
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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 generation/UF dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.6168 |
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- Positive Losses: 8.8283 |
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- Dpo Losses: 0.6446 |
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- Rewards/chosen: 0.0003 |
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- Rewards/rejected: -0.1296 |
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- Rewards/accuracies: 0.6500 |
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- Rewards/margins: 0.1299 |
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- Rewards/margins Max: 0.6434 |
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- Rewards/margins Min: -0.3494 |
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- Rewards/margins Std: 0.3327 |
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- Logps/rejected: -271.5416 |
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- Logps/chosen: -284.5663 |
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- Logits/rejected: -2.6717 |
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- Logits/chosen: -2.7138 |
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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: 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: 2 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 16 |
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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: 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 | Positive Losses | Dpo Losses | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Rewards/margins Max | Rewards/margins Min | Rewards/margins Std | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen | |
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|:-------------:|:-----:|:----:|:---------------:|:---------------:|:----------:|:--------------:|:----------------:|:------------------:|:---------------:|:-------------------:|:-------------------:|:-------------------:|:--------------:|:------------:|:---------------:|:-------------:| |
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| 0.6232 | 0.28 | 100 | 1.1413 | 4.2610 | 0.6656 | 0.0429 | -0.0252 | 0.6230 | 0.0680 | 0.4086 | -0.2281 | 0.2094 | -261.0972 | -280.3080 | -2.6361 | -2.6726 | |
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| 0.5625 | 0.56 | 200 | 1.7186 | 9.6677 | 0.6469 | -0.0183 | -0.1426 | 0.6420 | 0.1243 | 0.6362 | -0.3433 | 0.3277 | -272.8399 | -286.4236 | -2.6380 | -2.6780 | |
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| 0.4748 | 0.85 | 300 | 1.6048 | 8.7062 | 0.6448 | 0.0014 | -0.1274 | 0.6470 | 0.1288 | 0.6375 | -0.3461 | 0.3295 | -271.3224 | -284.4528 | -2.6733 | -2.7153 | |
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### Framework versions |
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- PEFT 0.7.1 |
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- Transformers 4.39.0.dev0 |
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- Pytorch 2.1.2+cu121 |
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- Datasets 2.14.6 |
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- Tokenizers 0.15.2 |
