Model save
Browse files- README.md +84 -0
- adapter_model.safetensors +1 -1
- all_results.json +21 -0
- eval_results.json +16 -0
- train_results.json +8 -0
- trainer_state.json +1972 -0
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: mistralai/Mistral-7B-Instruct-v0.2
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model-index:
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- name: zephyr-7b-dpo-qlora-pairrm
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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-qlora-pairrm
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This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.6773
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- Rewards/chosen: -1.5442
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- Rewards/rejected: -1.6837
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- Rewards/accuracies: 0.5687
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- Rewards/margins: 0.1395
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- Logps/rejected: -394.7031
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- Logps/chosen: -375.1367
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- Logits/rejected: -4.4436
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- Logits/chosen: -4.4568
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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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- gradient_accumulation_steps: 4
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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: 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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| 0.6909 | 0.08 | 100 | 0.6921 | -0.0169 | -0.0192 | 0.5427 | 0.0023 | -228.2522 | -222.4038 | -2.6219 | -2.6247 |
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| 0.684 | 0.16 | 200 | 0.6873 | -0.0803 | -0.0944 | 0.5567 | 0.0141 | -235.7721 | -228.7468 | -2.7599 | -2.7629 |
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| 0.6795 | 0.24 | 300 | 0.6839 | -0.5138 | -0.5516 | 0.5460 | 0.0378 | -281.4856 | -272.0929 | -3.5141 | -3.5199 |
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| 0.6561 | 0.32 | 400 | 0.6812 | -0.8158 | -0.8788 | 0.5573 | 0.0630 | -314.2105 | -302.2954 | -3.7484 | -3.7580 |
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| 0.633 | 0.4 | 500 | 0.6787 | -0.9027 | -0.9810 | 0.5597 | 0.0782 | -324.4269 | -310.9858 | -4.0978 | -4.1077 |
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| 0.6302 | 0.48 | 600 | 0.6785 | -1.1692 | -1.2692 | 0.5597 | 0.1000 | -353.2493 | -337.6355 | -4.4318 | -4.4435 |
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| 0.5743 | 0.56 | 700 | 0.6835 | -1.5435 | -1.6640 | 0.5630 | 0.1205 | -392.7273 | -375.0575 | -4.5047 | -4.5182 |
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| 0.6443 | 0.64 | 800 | 0.6779 | -1.3860 | -1.5069 | 0.5667 | 0.1209 | -377.0208 | -359.3108 | -4.2453 | -4.2572 |
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| 0.6651 | 0.72 | 900 | 0.6819 | -1.6633 | -1.8040 | 0.5693 | 0.1408 | -406.7332 | -387.0414 | -4.6039 | -4.6178 |
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| 0.5993 | 0.8 | 1000 | 0.6785 | -1.5776 | -1.7191 | 0.5683 | 0.1415 | -398.2364 | -378.4713 | -4.5356 | -4.5491 |
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| 0.6759 | 0.88 | 1100 | 0.6778 | -1.5515 | -1.6923 | 0.5687 | 0.1408 | -395.5604 | -375.8654 | -4.4722 | -4.4855 |
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| 0.6402 | 0.96 | 1200 | 0.6773 | -1.5439 | -1.6837 | 0.5690 | 0.1398 | -394.7002 | -375.1028 | -4.4444 | -4.4577 |
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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
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- Datasets 2.14.6
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- Tokenizers 0.15.0
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adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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-
oid sha256:
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size 1342238560
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version https://git-lfs.github.com/spec/v1
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oid sha256:f66dedcfa579dcdfb9f1d78c397d7645e70f57c173df9dd20bfc82911ce23de6
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size 1342238560
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all_results.json
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{
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"epoch": 1.0,
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"eval_logits/chosen": -4.456838607788086,
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"eval_logits/rejected": -4.443554401397705,
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"eval_logps/chosen": -375.13671875,
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"eval_logps/rejected": -394.703125,
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"eval_loss": 0.6773372888565063,
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"eval_rewards/accuracies": 0.5686666369438171,
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"eval_rewards/chosen": -1.5442434549331665,
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"eval_rewards/margins": 0.13949742913246155,
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"eval_rewards/rejected": -1.6837408542633057,
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"eval_runtime": 1623.421,
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"eval_samples": 2994,
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"eval_samples_per_second": 1.844,
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"eval_steps_per_second": 0.231,
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"train_loss": 0.6475976420174225,
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"train_runtime": 42677.4758,
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"train_samples": 19996,
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"train_samples_per_second": 0.469,
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"train_steps_per_second": 0.029
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}
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eval_results.json
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{
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"epoch": 1.0,
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"eval_logits/chosen": -4.456838607788086,
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"eval_logits/rejected": -4.443554401397705,
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"eval_logps/chosen": -375.13671875,
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"eval_logps/rejected": -394.703125,
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"eval_loss": 0.6773372888565063,
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"eval_rewards/accuracies": 0.5686666369438171,
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"eval_rewards/chosen": -1.5442434549331665,
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"eval_rewards/margins": 0.13949742913246155,
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| 11 |
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"eval_rewards/rejected": -1.6837408542633057,
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"eval_runtime": 1623.421,
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"eval_samples": 2994,
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"eval_samples_per_second": 1.844,
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"eval_steps_per_second": 0.231
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}
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train_results.json
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{
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"epoch": 1.0,
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"train_loss": 0.6475976420174225,
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| 4 |
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"train_runtime": 42677.4758,
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| 5 |
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"train_samples": 19996,
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| 6 |
+
"train_samples_per_second": 0.469,
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"train_steps_per_second": 0.029
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}
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trainer_state.json
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