BraylonDash
commited on
Commit
•
47c7a97
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Parent(s):
cde5ab0
Model save
Browse files- README.md +75 -0
- adapter_model.safetensors +1 -1
- all_results.json +21 -0
- eval_results.json +16 -0
- runs/Apr22_14-25-39_gpu4-119-5/events.out.tfevents.1713760022.gpu4-119-5.2990958.0 +2 -2
- runs/Apr22_14-25-39_gpu4-119-5/events.out.tfevents.1713763154.gpu4-119-5.2990958.1 +3 -0
- train_results.json +8 -0
- trainer_state.json +526 -0
README.md
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---
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license: mit
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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: microsoft/phi-2
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model-index:
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- name: phi-2-gpo-renew2-b0.001-i1
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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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# phi-2-gpo-renew2-b0.001-i1
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This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0538
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- Rewards/chosen: 0.0010
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- Rewards/rejected: 0.0012
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- Rewards/accuracies: 0.4290
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- Rewards/margins: -0.0002
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- Logps/rejected: -366.0280
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- Logps/chosen: -395.2844
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- Logits/rejected: -0.7463
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- Logits/chosen: -0.8436
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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: 4
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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 | 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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| 0.1204 | 0.32 | 100 | -0.8372 | -0.7448 | -396.1279 | -367.0282 | 0.0537 | 0.4495 | 0.0002 | -0.0000 | 0.0002 |
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| 0.1673 | 0.64 | 200 | 0.0538 | 0.0013 | 0.0015 | 0.4305 | -0.0002 | -365.7495 | -395.0410 | -0.7569 | -0.8518 |
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| 0.1395 | 0.96 | 300 | 0.0538 | 0.0010 | 0.0012 | 0.4395 | -0.0002 | -365.9886 | -395.3006 | -0.7587 | -0.8541 |
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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 0.15.2
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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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"eval_logits/chosen": -0.8436477184295654,
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"eval_logits/rejected": -0.7463203072547913,
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"eval_logps/chosen": -395.2843933105469,
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"eval_logps/rejected": -366.02801513671875,
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"eval_loss": 0.05383266508579254,
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"eval_rewards/accuracies": 0.42899999022483826,
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"eval_rewards/chosen": 0.001020837458781898,
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"eval_rewards/margins": -0.000186597288120538,
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"eval_rewards/rejected": 0.0012074349215254188,
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"eval_runtime": 546.0387,
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"eval_samples": 2000,
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"eval_samples_per_second": 3.663,
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"eval_steps_per_second": 0.916,
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"train_loss": 0.10059727164797294,
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"train_runtime": 2585.2833,
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"train_samples": 61135,
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"train_samples_per_second": 1.934,
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"train_steps_per_second": 0.121
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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": -0.8436477184295654,
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"eval_logits/rejected": -0.7463203072547913,
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"eval_logps/chosen": -395.2843933105469,
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"eval_logps/rejected": -366.02801513671875,
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"eval_loss": 0.05383266508579254,
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"eval_rewards/accuracies": 0.42899999022483826,
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"eval_rewards/chosen": 0.001020837458781898,
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"eval_rewards/margins": -0.000186597288120538,
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"eval_rewards/rejected": 0.0012074349215254188,
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"eval_runtime": 546.0387,
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"eval_samples": 2000,
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"eval_samples_per_second": 3.663,
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"eval_steps_per_second": 0.916
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}
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runs/Apr22_14-25-39_gpu4-119-5/events.out.tfevents.1713760022.gpu4-119-5.2990958.0
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runs/Apr22_14-25-39_gpu4-119-5/events.out.tfevents.1713763154.gpu4-119-5.2990958.1
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size 828
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train_results.json
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trainer_state.json
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{
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{
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},
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{
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"epoch": 0.03,
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"learning_rate": 1.5625e-06,
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