Commit
•
9237faa
1
Parent(s):
086f5b8
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: 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-dpo-test-iter-0
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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-dpo-test-iter-0
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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: 0.0002
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- Rewards/chosen: -0.0029
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- Rewards/rejected: -0.0032
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- Rewards/accuracies: 0.5130
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- Rewards/margins: 0.0003
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- Logps/rejected: -233.8547
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- Logps/chosen: -256.9005
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- Logits/rejected: 0.8721
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- Logits/chosen: 0.8145
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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: 4
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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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| 0.0001 | 0.32 | 100 | 0.0002 | -0.0012 | -0.0015 | 0.5200 | 0.0003 | -233.6874 | -256.7341 | 0.8840 | 0.8263 |
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| 0.0001 | 0.64 | 200 | 0.0002 | -0.0021 | -0.0023 | 0.5005 | 0.0002 | -233.7691 | -256.8278 | 0.8778 | 0.8201 |
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| 0.0001 | 0.96 | 300 | 0.0002 | -0.0021 | -0.0024 | 0.4985 | 0.0003 | -233.7780 | -256.8272 | 0.8783 | 0.8206 |
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| 0.0001 | 1.28 | 400 | 0.0002 | -0.0026 | -0.0029 | 0.5195 | 0.0003 | -233.8277 | -256.8757 | 0.8769 | 0.8192 |
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| 0.0001 | 1.6 | 500 | 0.0002 | -0.0027 | -0.0030 | 0.5170 | 0.0003 | -233.8388 | -256.8869 | 0.8729 | 0.8151 |
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| 0.0001 | 1.92 | 600 | 0.0002 | -0.0027 | -0.0030 | 0.5070 | 0.0003 | -233.8414 | -256.8860 | 0.8757 | 0.8180 |
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| 0.0001 | 2.24 | 700 | 0.0002 | -0.0030 | -0.0032 | 0.5065 | 0.0002 | -233.8592 | -256.9123 | 0.8719 | 0.8142 |
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| 0.0001 | 2.56 | 800 | 0.0002 | -0.0028 | -0.0030 | 0.5190 | 0.0003 | -233.8422 | -256.8898 | 0.8713 | 0.8135 |
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| 0.0001 | 2.88 | 900 | 0.0002 | -0.0030 | -0.0031 | 0.5015 | 0.0002 | -233.8529 | -256.9111 | 0.8714 | 0.8136 |
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| 0.0001 | 3.2 | 1000 | 0.0002 | -0.0029 | -0.0033 | 0.5180 | 0.0004 | -233.8666 | -256.9036 | 0.8733 | 0.8156 |
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| 0.0001 | 3.52 | 1100 | 0.0002 | -0.0029 | -0.0034 | 0.5265 | 0.0005 | -233.8779 | -256.9080 | 0.8724 | 0.8145 |
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| 0.0001 | 3.84 | 1200 | 0.0002 | -0.0031 | -0.0033 | 0.5045 | 0.0003 | -233.8733 | -256.9227 | 0.8705 | 0.8127 |
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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 2.2.1+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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version https://git-lfs.github.com/spec/v1
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-
oid sha256:
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size 41977616
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version https://git-lfs.github.com/spec/v1
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+
oid sha256:08f46b208abcd902f8b18e4179aea06a78b6e88e8af55a35beb190f9b3ea699c
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size 41977616
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all_results.json
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{
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"epoch": 3.99,
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"eval_logits/chosen": 0.81451815366745,
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"eval_logits/rejected": 0.8721050024032593,
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"eval_logps/chosen": -256.90045166015625,
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"eval_logps/rejected": -233.8546905517578,
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"eval_loss": 0.00017304150969721377,
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"eval_rewards/accuracies": 0.5130000114440918,
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"eval_rewards/chosen": -0.0028624406550079584,
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"eval_rewards/margins": 0.0003016398404724896,
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"eval_rewards/rejected": -0.003164080437272787,
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"eval_runtime": 412.2426,
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"eval_samples": 2000,
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"eval_samples_per_second": 4.852,
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"eval_steps_per_second": 1.213,
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"train_loss": 9.35627439654733e-05,
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"train_runtime": 14053.8323,
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"train_samples": 61135,
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"train_samples_per_second": 1.423,
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"train_steps_per_second": 0.089
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}
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eval_results.json
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{
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"epoch": 3.99,
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"eval_logits/chosen": 0.81451815366745,
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"eval_logits/rejected": 0.8721050024032593,
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"eval_logps/chosen": -256.90045166015625,
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"eval_logps/rejected": -233.8546905517578,
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"eval_loss": 0.00017304150969721377,
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"eval_rewards/accuracies": 0.5130000114440918,
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"eval_rewards/chosen": -0.0028624406550079584,
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"eval_rewards/margins": 0.0003016398404724896,
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"eval_rewards/rejected": -0.003164080437272787,
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"eval_runtime": 412.2426,
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"eval_samples": 2000,
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"eval_samples_per_second": 4.852,
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"eval_steps_per_second": 1.213
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}
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train_results.json
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{
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"epoch": 3.99,
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"train_loss": 9.35627439654733e-05,
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"train_runtime": 14053.8323,
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"train_samples": 61135,
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"train_samples_per_second": 1.423,
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"train_steps_per_second": 0.089
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}
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trainer_state.json
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