Model save
Browse files- README.md +75 -0
- all_results.json +23 -0
- eval_results.json +18 -0
- generation_config.json +6 -0
- model-00001-of-00003.safetensors +3 -0
- model-00002-of-00003.safetensors +3 -0
- model-00003-of-00003.safetensors +3 -0
- model.safetensors.index.json +298 -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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tags:
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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: dpo-selective-buffer-safeipo
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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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# dpo-selective-buffer-safeipo
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This model was trained from scratch on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.3423
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- Rewards/chosen: -1.0061
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- Rewards/rejected: -1.3040
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- Rewards/accuracies: 0.7314
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- Rewards/margins: 0.2980
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- Rewards/safe Rewards: -0.9953
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- Rewards/unsafe Rewards: -1.0113
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- Logps/rejected: -222.8744
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- Logps/chosen: -231.0451
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- Logits/rejected: -0.6287
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- Logits/chosen: -1.0992
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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: 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: 4
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 32
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- total_eval_batch_size: 32
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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 | Rewards/safe Rewards | Rewards/unsafe Rewards | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
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|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------------:|:----------------------:|:--------------:|:------------:|:---------------:|:-------------:|
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| 1.0274 | 0.27 | 500 | 0.3731 | -1.0192 | -1.3005 | 0.7075 | 0.2813 | -1.0089 | -1.0281 | -222.5216 | -232.3561 | -0.9855 | -1.4616 |
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| 0.9569 | 0.54 | 1000 | 0.3497 | -0.9136 | -1.2026 | 0.7210 | 0.2890 | -0.9006 | -0.9166 | -212.7308 | -221.7959 | -0.5821 | -1.0712 |
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| 0.8619 | 0.81 | 1500 | 0.3429 | -0.9136 | -1.1772 | 0.7269 | 0.2635 | -0.9047 | -0.9192 | -210.1883 | -221.8018 | -0.7005 | -1.1466 |
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### Framework versions
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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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all_results.json
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{
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"epoch": 1.0,
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"eval_logits/chosen": -1.099204421043396,
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"eval_logits/rejected": -0.6287172436714172,
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"eval_logps/chosen": -231.0450897216797,
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"eval_logps/rejected": -222.87437438964844,
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"eval_loss": 0.34230488538742065,
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"eval_rewards/accuracies": 0.7313649654388428,
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"eval_rewards/chosen": -1.0060617923736572,
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"eval_rewards/margins": 0.29796916246414185,
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"eval_rewards/rejected": -1.3040310144424438,
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"eval_rewards/safe_rewards": -0.9952626824378967,
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"eval_rewards/unsafe_rewards": -1.0112754106521606,
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"eval_runtime": 1122.5675,
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"eval_samples": 33044,
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"eval_samples_per_second": 29.436,
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"eval_steps_per_second": 0.92,
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"train_loss": 1.018996798697021,
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"train_runtime": 22449.6551,
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"train_samples": 59478,
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"train_samples_per_second": 2.649,
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"train_steps_per_second": 0.083
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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": -1.099204421043396,
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"eval_rewards/accuracies": 0.7313649654388428,
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"eval_rewards/chosen": -1.0060617923736572,
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"eval_rewards/safe_rewards": -0.9952626824378967,
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"eval_rewards/unsafe_rewards": -1.0112754106521606,
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"eval_runtime": 1122.5675,
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"eval_samples": 33044,
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"eval_samples_per_second": 29.436,
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"eval_steps_per_second": 0.92
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}
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generation_config.json
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{
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"_from_model_config": true,
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"bos_token_id": 1,
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"eos_token_id": 2,
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"transformers_version": "4.36.2"
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}
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model-00001-of-00003.safetensors
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version https://git-lfs.github.com/spec/v1
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size 4943162336
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model-00002-of-00003.safetensors
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version https://git-lfs.github.com/spec/v1
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model-00003-of-00003.safetensors
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model.safetensors.index.json
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