Model save
Browse files- README.md +81 -0
- adapter_model.safetensors +1 -1
- all_results.json +21 -0
- eval_results.json +16 -0
- runs/Feb17_06-00-13_586cb8b6da8c/events.out.tfevents.1708149717.586cb8b6da8c.6725.0 +2 -2
- runs/Feb19_15-17-29_586cb8b6da8c/events.out.tfevents.1708355952.586cb8b6da8c.7306.0 +3 -0
- runs/Feb19_15-21-21_586cb8b6da8c/events.out.tfevents.1708356184.586cb8b6da8c.7413.0 +3 -0
- runs/Feb19_15-21-21_586cb8b6da8c/events.out.tfevents.1708356189.586cb8b6da8c.7413.1 +3 -0
- train_results.json +8 -0
- trainer_state.json +0 -0
- training_args.bin +1 -1
README.md
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---
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license: apache-2.0
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library_name: peft
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tags:
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- trl
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- dpo
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- generated_from_trainer
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base_model: alignment-handbook/zephyr-7b-sft-full
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model-index:
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- name: zephyr-7b-dpo-selfgen
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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-selfgen
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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: 0.0000
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- Rewards/chosen: -6.6466
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- Rewards/rejected: -19.5106
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- Rewards/accuracies: 1.0
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- Rewards/margins: 12.8639
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- Logps/rejected: -1996.6047
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- Logps/chosen: -731.7379
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- Logits/rejected: -2.0588
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- Logits/chosen: -2.4883
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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: 2
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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: 8
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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: 3.0
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### Training results
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| Training Loss | Epoch | Step | Logits/chosen | Logits/rejected | Logps/chosen | Logps/rejected | Validation Loss | Rewards/accuracies | Rewards/chosen | Rewards/margins | Rewards/rejected |
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|:-------------:|:-----:|:-----:|:-------------:|:---------------:|:------------:|:--------------:|:---------------:|:------------------:|:--------------:|:---------------:|:----------------:|
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| 0.0241 | 0.42 | 7000 | -2.8328 | -2.8312 | -143.5124 | -856.1008 | 0.0101 | 1.0 | -0.7644 | 7.3411 | -8.1055 |
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| 0.0001 | 0.83 | 14000 | -2.3450 | -1.9435 | -714.5292 | -1741.5647 | 0.0002 | 1.0 | -6.4745 | 10.4856 | -16.9602 |
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| 0.0003 | 1.25 | 21000 | -2.4293 | -2.0264 | -695.5377 | -1973.5151 | 0.0001 | 1.0 | -6.2846 | 12.9950 | -19.2797 |
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| 0.0 | 1.67 | 28000 | -2.5393 | -2.1793 | -619.2334 | -1821.8682 | 0.0001 | 1.0 | -5.5216 | 12.2416 | -17.7632 |
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| 0.0001 | 2.09 | 35000 | -2.4633 | -1.9800 | -817.4478 | -2071.8862 | 0.0000 | 1.0 | -7.5037 | 12.7596 | -20.2634 |
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| 0.0 | 2.5 | 42000 | -2.4883 | -2.0593 | -730.7642 | -2000.8484 | 0.0000 | 1.0 | -6.6369 | 12.9161 | -19.5530 |
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| 0.0001 | 2.92 | 49000 | -2.4895 | -2.0591 | -732.9475 | -1999.9326 | 0.0000 | 1.0 | -6.6587 | 12.8851 | -19.5438 |
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### Framework versions
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- PEFT 0.7.1
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- Transformers 4.36.2
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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
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adapter_model.safetensors
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all_results.json
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"epoch": 3.0,
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"eval_logits/chosen": -2.4882912635803223,
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"eval_logits/rejected": -2.058779001235962,
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"eval_logps/chosen": -731.7378540039062,
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"eval_logps/rejected": -1996.604736328125,
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"eval_loss": 3.1195009796647355e-05,
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"eval_rewards/accuracies": 1.0,
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"eval_rewards/chosen": -6.646634101867676,
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"eval_rewards/margins": 12.863931655883789,
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"eval_rewards/rejected": -19.51056480407715,
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"eval_runtime": 4.5785,
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"eval_samples": 5,
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"eval_samples_per_second": 1.092,
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"eval_steps_per_second": 0.218,
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"train_loss": 0.0,
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"train_runtime": 0.0617,
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"train_samples": 134157,
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"train_samples_per_second": 6527181.256,
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"train_steps_per_second": 815915.902
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}
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eval_results.json
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{
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"epoch": 3.0,
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"eval_logits/chosen": -2.4882912635803223,
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"eval_loss": 3.1195009796647355e-05,
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"eval_rewards/accuracies": 1.0,
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"eval_rewards/chosen": -6.646634101867676,
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"eval_rewards/margins": 12.863931655883789,
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"eval_runtime": 4.5785,
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runs/Feb17_06-00-13_586cb8b6da8c/events.out.tfevents.1708149717.586cb8b6da8c.6725.0
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train_results.json
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trainer_state.json
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training_args.bin
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