Model save
Browse files- README.md +81 -0
- adapter_model.safetensors +1 -1
- all_results.json +8 -0
- runs/May11_22-17-27_gpu4-119-5/events.out.tfevents.1715429920.gpu4-119-5.1214138.0 +2 -2
- train_results.json +8 -0
- trainer_state.json +0 -0
README.md
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---
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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: DUAL-GPO-2/zephyr-7b-sft-new
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model-index:
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- name: zephyr-7b-gpo-new-v1-i0
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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-gpo-new-v1-i0
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This model is a fine-tuned version of [DUAL-GPO-2/zephyr-7b-sft-new](https://huggingface.co/DUAL-GPO-2/zephyr-7b-sft-new) on the None dataset.
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It achieves the following results on the evaluation set:
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- Logits/chosen: -1.6150
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- Logits/rejected: -1.4339
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- Logps/chosen: -400.8042
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- Logps/rejected: -417.9239
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- Loss: 0.0367
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- Rewards/accuracies: 0.5930
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- Rewards/chosen: -0.1716
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- Rewards/margins: 0.0499
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- Rewards/rejected: -0.2215
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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: 2
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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: 4
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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 | 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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| 0.0532 | 0.01 | 100 | -2.3286 | -2.1100 | -227.7062 | -195.3472 | 0.0535 | 0.5530 | 0.0015 | 0.0005 | 0.0011 |
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| 0.0625 | 0.03 | 200 | -2.3309 | -2.1124 | -225.1784 | -194.7161 | 0.0527 | 0.6080 | 0.0040 | 0.0023 | 0.0017 |
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| 0.0485 | 0.04 | 300 | -2.3236 | -2.1050 | -237.7424 | -214.5471 | 0.0496 | 0.5890 | -0.0085 | 0.0096 | -0.0181 |
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| 0.0361 | 0.05 | 400 | -2.3720 | -2.1493 | -251.4063 | -239.9417 | 0.0447 | 0.5990 | -0.0222 | 0.0213 | -0.0435 |
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| 0.0375 | 0.07 | 500 | -2.1960 | -1.9821 | -282.6958 | -281.3289 | 0.0417 | 0.5890 | -0.0535 | 0.0314 | -0.0849 |
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| 0.0522 | 0.08 | 600 | -1.5433 | -1.3697 | -398.6434 | -395.0714 | 0.0432 | 0.5920 | -0.1694 | 0.0292 | -0.1987 |
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| 0.0453 | 0.09 | 700 | -1.9137 | -1.7203 | -295.2011 | -297.8420 | 0.0367 | 0.5780 | -0.0660 | 0.0355 | -0.1014 |
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| 0.0293 | 0.1 | 800 | -1.6150 | -1.4339 | -400.8042 | -417.9239 | 0.0367 | 0.5930 | -0.1716 | 0.0499 | -0.2215 |
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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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{
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"epoch": 1.0,
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"train_loss": 0.0048277108391146795,
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"train_runtime": 13417.0015,
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"train_samples": 61135,
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"train_samples_per_second": 4.557,
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"train_steps_per_second": 0.57
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}
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runs/May11_22-17-27_gpu4-119-5/events.out.tfevents.1715429920.gpu4-119-5.1214138.0
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train_results.json
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{
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"epoch": 1.0,
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"train_loss": 0.0048277108391146795,
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"train_runtime": 13417.0015,
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"train_samples": 61135,
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"train_samples_per_second": 4.557,
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"train_steps_per_second": 0.57
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}
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trainer_state.json
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