Model save
Browse files- README.md +84 -0
- adapter_config.json +4 -4
- adapter_model.safetensors +2 -2
- all_results.json +21 -0
- eval_results.json +16 -0
- train_results.json +8 -0
- trainer_state.json +1972 -0
- training_args.bin +1 -1
README.md
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| 1 |
+
---
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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-v0.1
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model-index:
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- name: zephyr-7b-dpo-qlora
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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
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This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.6707
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- Rewards/chosen: -0.2860
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- Rewards/rejected: -0.3548
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- Rewards/accuracies: 0.5983
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- Rewards/margins: 0.0687
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- Logps/rejected: -367.6676
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- Logps/chosen: -351.0971
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- Logits/rejected: -2.5801
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- Logits/chosen: -2.5726
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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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| 0.6932 | 0.08 | 100 | 0.6930 | -0.0030 | -0.0033 | 0.5220 | 0.0003 | -332.5208 | -322.7949 | -2.4978 | -2.4908 |
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| 0.6921 | 0.16 | 200 | 0.6927 | -0.0232 | -0.0243 | 0.5183 | 0.0011 | -334.6197 | -324.8167 | -2.4970 | -2.4900 |
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| 0.6913 | 0.24 | 300 | 0.6919 | -0.0414 | -0.0441 | 0.5340 | 0.0027 | -336.6059 | -326.6393 | -2.4967 | -2.4895 |
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| 0.6893 | 0.32 | 400 | 0.6891 | -0.0791 | -0.0883 | 0.5547 | 0.0093 | -341.0244 | -330.4017 | -2.5023 | -2.4953 |
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| 0.6724 | 0.4 | 500 | 0.6844 | -0.2018 | -0.2253 | 0.5530 | 0.0235 | -354.7256 | -342.6785 | -2.5100 | -2.5029 |
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| 0.6849 | 0.48 | 600 | 0.6805 | -0.3366 | -0.3770 | 0.5597 | 0.0404 | -369.8958 | -356.1591 | -2.5412 | -2.5347 |
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| 0.6503 | 0.56 | 700 | 0.6774 | -0.4376 | -0.4919 | 0.5630 | 0.0543 | -381.3843 | -366.2523 | -2.5492 | -2.5431 |
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| 0.6841 | 0.64 | 800 | 0.6735 | -0.3183 | -0.3788 | 0.5913 | 0.0605 | -370.0676 | -354.3206 | -2.5662 | -2.5592 |
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| 0.6773 | 0.72 | 900 | 0.6724 | -0.3986 | -0.4678 | 0.5887 | 0.0692 | -378.9693 | -362.3546 | -2.5774 | -2.5706 |
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| 0.657 | 0.8 | 1000 | 0.6711 | -0.2774 | -0.3440 | 0.5997 | 0.0666 | -366.5909 | -350.2372 | -2.5784 | -2.5708 |
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| 0.6577 | 0.88 | 1100 | 0.6706 | -0.2934 | -0.3628 | 0.5993 | 0.0693 | -368.4680 | -351.8376 | -2.5805 | -2.5729 |
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| 0.6444 | 0.96 | 1200 | 0.6708 | -0.2860 | -0.3547 | 0.5993 | 0.0687 | -367.6592 | -351.0949 | -2.5801 | -2.5725 |
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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_config.json
CHANGED
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"v_proj",
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"k_proj",
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"o_proj",
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"gate_proj",
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"
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"q_proj",
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"up_proj"
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],
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"task_type": "CAUSAL_LM"
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"gate_proj",
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"k_proj",
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"v_proj",
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"q_proj",
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"down_proj",
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"o_proj",
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"up_proj"
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],
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"task_type": "CAUSAL_LM"
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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
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version https://git-lfs.github.com/spec/v1
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oid sha256:aa34178bd80f8d3a5f7293547ed95d1e9a509a94b2df87e75b782f3843a5f42c
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size 83945744
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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": -2.5725526809692383,
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"eval_logits/rejected": -2.5801451206207275,
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"eval_logps/chosen": -351.0971374511719,
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"eval_logps/rejected": -367.6675720214844,
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"eval_loss": 0.6707386374473572,
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| 8 |
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"eval_rewards/accuracies": 0.5983333587646484,
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| 9 |
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"eval_rewards/chosen": -0.28601789474487305,
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"eval_rewards/margins": 0.0687330961227417,
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"eval_rewards/rejected": -0.35475102066993713,
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"eval_runtime": 1581.2259,
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| 13 |
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"eval_samples": 2994,
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| 14 |
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"eval_samples_per_second": 1.893,
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| 15 |
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"eval_steps_per_second": 0.237,
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| 16 |
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"train_loss": 0.67484232365751,
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| 17 |
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"train_runtime": 40604.4701,
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| 18 |
+
"train_samples": 19996,
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| 19 |
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"train_samples_per_second": 0.492,
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| 20 |
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"train_steps_per_second": 0.031
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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": -2.5725526809692383,
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"eval_logits/rejected": -2.5801451206207275,
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| 5 |
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"eval_logps/chosen": -351.0971374511719,
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| 6 |
+
"eval_logps/rejected": -367.6675720214844,
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| 7 |
+
"eval_loss": 0.6707386374473572,
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| 8 |
+
"eval_rewards/accuracies": 0.5983333587646484,
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| 9 |
+
"eval_rewards/chosen": -0.28601789474487305,
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| 10 |
+
"eval_rewards/margins": 0.0687330961227417,
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| 11 |
+
"eval_rewards/rejected": -0.35475102066993713,
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| 12 |
+
"eval_runtime": 1581.2259,
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| 13 |
+
"eval_samples": 2994,
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| 14 |
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"eval_samples_per_second": 1.893,
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| 15 |
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"eval_steps_per_second": 0.237
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| 16 |
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}
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train_results.json
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{
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| 2 |
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"epoch": 1.0,
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| 3 |
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"train_loss": 0.67484232365751,
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| 4 |
+
"train_runtime": 40604.4701,
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| 5 |
+
"train_samples": 19996,
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| 6 |
+
"train_samples_per_second": 0.492,
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| 7 |
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"train_steps_per_second": 0.031
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| 8 |
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}
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trainer_state.json
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| 1 |
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| 11 |
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