Model save
Browse files- README.md +84 -0
- adapter_model.safetensors +1 -1
- all_results.json +21 -0
- eval_results.json +16 -0
- runs/Mar30_15-30-11_Braylon/events.out.tfevents.1711773088.Braylon.21497.0 +2 -2
- runs/Mar30_15-30-11_Braylon/events.out.tfevents.1711787753.Braylon.21497.1 +3 -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-ipo-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-ipo-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: 2546.4375
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- Rewards/chosen: -0.1591
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- Rewards/rejected: -0.1612
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- Rewards/accuracies: 0.5220
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- Rewards/margins: 0.0021
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- Logps/rejected: -249.6534
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- Logps/chosen: -272.5227
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- Logits/rejected: 0.4171
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- Logits/chosen: 0.3526
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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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| 2477.3281 | 0.32 | 100 | 2500.7156 | -0.0018 | -0.0018 | 0.4930 | -0.0000 | -233.7207 | -256.7978 | 0.8796 | 0.8221 |
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| 2224.3488 | 0.64 | 200 | 2499.8904 | -0.0195 | -0.0198 | 0.5015 | 0.0003 | -235.5204 | -258.5673 | 0.8051 | 0.7462 |
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| 1898.0719 | 0.96 | 300 | 2505.6912 | -0.0563 | -0.0571 | 0.5140 | 0.0008 | -239.2530 | -262.2491 | 0.6844 | 0.6233 |
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| 1879.8852 | 1.28 | 400 | 2516.0835 | -0.0944 | -0.0957 | 0.5200 | 0.0013 | -243.1053 | -266.0533 | 0.5839 | 0.5215 |
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| 1917.2811 | 1.6 | 500 | 2527.1995 | -0.1156 | -0.1170 | 0.5115 | 0.0014 | -245.2343 | -268.1747 | 0.5244 | 0.4611 |
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| 1799.3824 | 1.92 | 600 | 2534.4292 | -0.1363 | -0.1381 | 0.5210 | 0.0018 | -247.3504 | -270.2482 | 0.4714 | 0.4075 |
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| 1751.5762 | 2.24 | 700 | 2531.3550 | -0.1448 | -0.1474 | 0.5180 | 0.0026 | -248.2780 | -271.0988 | 0.4545 | 0.3906 |
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| 1711.1711 | 2.56 | 800 | 2536.2451 | -0.1487 | -0.1511 | 0.5145 | 0.0024 | -248.6440 | -271.4834 | 0.4402 | 0.3759 |
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| 1894.4447 | 2.88 | 900 | 2542.6299 | -0.1549 | -0.1570 | 0.5235 | 0.0022 | -249.2417 | -272.1000 | 0.4262 | 0.3618 |
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| 1798.5389 | 3.2 | 1000 | 2542.7288 | -0.1581 | -0.1604 | 0.5205 | 0.0023 | -249.5780 | -272.4200 | 0.4202 | 0.3559 |
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| 1834.9711 | 3.52 | 1100 | 2542.2373 | -0.1586 | -0.1610 | 0.5205 | 0.0024 | -249.6345 | -272.4703 | 0.4177 | 0.3532 |
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| 1765.5148 | 3.84 | 1200 | 2546.1714 | -0.1589 | -0.1610 | 0.5220 | 0.0021 | -249.6357 | -272.5010 | 0.4160 | 0.3515 |
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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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size 41977616
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version https://git-lfs.github.com/spec/v1
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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": 0.3525713086128235,
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"eval_logits/rejected": 0.4171118438243866,
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"eval_logps/chosen": -272.5227355957031,
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"eval_logps/rejected": -249.6534423828125,
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"eval_loss": 2546.4375,
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"eval_rewards/accuracies": 0.5220000147819519,
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"eval_rewards/chosen": -0.15908558666706085,
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"eval_rewards/margins": 0.0020662047900259495,
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"eval_rewards/rejected": -0.16115178167819977,
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"eval_runtime": 411.7057,
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"eval_samples": 2000,
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"eval_samples_per_second": 4.858,
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"eval_steps_per_second": 1.214,
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"train_loss": 1918.4646684695513,
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| 17 |
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"train_runtime": 14252.7073,
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"train_samples": 30567,
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"train_samples_per_second": 1.403,
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"train_steps_per_second": 0.088
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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": 0.3525713086128235,
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"eval_logits/rejected": 0.4171118438243866,
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"eval_logps/chosen": -272.5227355957031,
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"eval_logps/rejected": -249.6534423828125,
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"eval_loss": 2546.4375,
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| 8 |
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"eval_rewards/accuracies": 0.5220000147819519,
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| 9 |
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"eval_rewards/chosen": -0.15908558666706085,
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| 10 |
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"eval_rewards/margins": 0.0020662047900259495,
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"eval_rewards/rejected": -0.16115178167819977,
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| 12 |
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"eval_runtime": 411.7057,
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| 13 |
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"eval_samples": 2000,
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| 14 |
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"eval_samples_per_second": 4.858,
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"eval_steps_per_second": 1.214
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}
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runs/Mar30_15-30-11_Braylon/events.out.tfevents.1711773088.Braylon.21497.0
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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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| 1 |
version https://git-lfs.github.com/spec/v1
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oid sha256:fcefbd3d4afe4692920068afa1be5a0b979d01eb00227742305862b7f1dfd8ae
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size 93140
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runs/Mar30_15-30-11_Braylon/events.out.tfevents.1711787753.Braylon.21497.1
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version https://git-lfs.github.com/spec/v1
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oid sha256:15ca0c62afb04058b08608cbc96562a5e226f7f6122a4dd3668d55f4f0f0cd9f
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size 828
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train_results.json
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{
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"epoch": 3.99,
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"train_loss": 1918.4646684695513,
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"train_runtime": 14252.7073,
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| 5 |
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"train_samples": 30567,
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| 6 |
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"train_samples_per_second": 1.403,
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"train_steps_per_second": 0.088
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}
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trainer_state.json
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| 1 |
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