Model save
Browse files- README.md +84 -0
- adapter_model.safetensors +1 -1
- all_results.json +21 -0
- eval_results.json +16 -0
- runs/Apr18_16-16-11_gpu4-119-5/events.out.tfevents.1714062926.gpu4-119-5.3879473.0 +2 -2
- runs/Apr18_16-16-11_gpu4-119-5/events.out.tfevents.1714076921.gpu4-119-5.3879473.1 +3 -0
- train_results.json +8 -0
- trainer_state.json +1986 -0
README.md
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---
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license: apache-2.0
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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: mistralai/Mistral-7B-v0.1
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model-index:
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- name: zephyr-7b-gpo-gen-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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# zephyr-7b-gpo-gen-i1
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This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0550
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- Rewards/chosen: -0.0251
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- Rewards/rejected: -0.0231
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- Rewards/accuracies: 0.3875
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- Rewards/margins: -0.0020
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- Logps/rejected: -278.0226
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- Logps/chosen: -291.8019
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- Logits/rejected: -1.7909
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- Logits/chosen: -1.9487
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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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- gradient_accumulation_steps: 2
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- total_train_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 | 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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| 0.3754 | 0.08 | 100 | 0.0537 | 0.0 | 0.0 | 0.0 | 0.0 | -254.9398 | -266.6976 | -1.8067 | -1.9618 |
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| 0.3556 | 0.16 | 200 | 0.0537 | 0.0 | 0.0 | 0.0 | 0.0 | -254.9398 | -266.6976 | -1.8067 | -1.9618 |
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| 0.3556 | 0.24 | 300 | 0.0537 | 0.0 | 0.0 | 0.0 | 0.0 | -254.9398 | -266.6976 | -1.8067 | -1.9618 |
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| 0.3606 | 0.32 | 400 | 0.0537 | 0.0 | 0.0 | 0.0 | 0.0 | -254.9398 | -266.6976 | -1.8067 | -1.9618 |
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| 0.3606 | 0.4 | 500 | 0.0586 | -0.0343 | -0.0263 | 0.3125 | -0.0079 | -281.2869 | -300.9843 | -1.7627 | -1.9202 |
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| 0.3408 | 0.48 | 600 | 0.0587 | -0.0387 | -0.0304 | 0.3120 | -0.0083 | -285.3777 | -305.4413 | -1.7361 | -1.8917 |
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| 0.3359 | 0.56 | 700 | 0.0587 | -0.0387 | -0.0304 | 0.3095 | -0.0083 | -285.3294 | -305.3720 | -1.7363 | -1.8920 |
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| 0.3507 | 0.64 | 800 | 0.0569 | -0.0251 | -0.0199 | 0.3215 | -0.0052 | -274.8357 | -291.8357 | -1.8172 | -1.9784 |
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| 0.3926 | 0.72 | 900 | 0.0550 | -0.0245 | -0.0224 | 0.3840 | -0.0021 | -277.3842 | -291.2067 | -1.7982 | -1.9565 |
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| 0.3655 | 0.8 | 1000 | 0.0549 | -0.0254 | -0.0235 | 0.3860 | -0.0019 | -278.4594 | -292.0937 | -1.7905 | -1.9482 |
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| 0.3682 | 0.88 | 1100 | 0.0549 | -0.0253 | -0.0234 | 0.3850 | -0.0020 | -278.3317 | -292.0442 | -1.7919 | -1.9497 |
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| 0.3531 | 0.96 | 1200 | 0.0550 | -0.0251 | -0.0231 | 0.3910 | -0.0020 | -278.0787 | -291.8378 | -1.7915 | -1.9493 |
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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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size 671150064
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size 671150064
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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": -1.9487414360046387,
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"eval_logits/rejected": -1.7909051179885864,
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"eval_logps/chosen": -291.80194091796875,
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"eval_logps/rejected": -278.0226135253906,
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"eval_loss": 0.05501076579093933,
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"eval_rewards/accuracies": 0.38749998807907104,
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| 9 |
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"eval_rewards/chosen": -0.0251043438911438,
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"eval_rewards/margins": -0.0020215215627104044,
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"eval_rewards/rejected": -0.023082822561264038,
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"eval_runtime": 728.1274,
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"eval_samples": 2000,
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"eval_samples_per_second": 2.747,
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| 15 |
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"eval_steps_per_second": 1.373,
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"train_loss": 0.3462253446340561,
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| 17 |
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"train_runtime": 13267.124,
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| 18 |
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"train_samples": 61135,
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| 19 |
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"train_samples_per_second": 0.377,
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"train_steps_per_second": 0.094
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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": -1.9487414360046387,
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| 4 |
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"eval_logits/rejected": -1.7909051179885864,
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| 5 |
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"eval_logps/chosen": -291.80194091796875,
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| 6 |
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"eval_logps/rejected": -278.0226135253906,
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| 7 |
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"eval_loss": 0.05501076579093933,
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| 8 |
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"eval_rewards/accuracies": 0.38749998807907104,
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| 9 |
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"eval_rewards/chosen": -0.0251043438911438,
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| 10 |
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"eval_rewards/margins": -0.0020215215627104044,
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| 11 |
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"eval_rewards/rejected": -0.023082822561264038,
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| 12 |
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"eval_runtime": 728.1274,
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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": 2.747,
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| 15 |
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"eval_steps_per_second": 1.373
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| 16 |
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}
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runs/Apr18_16-16-11_gpu4-119-5/events.out.tfevents.1714062926.gpu4-119-5.3879473.0
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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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version https://git-lfs.github.com/spec/v1
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oid sha256:14d7ee09022a10f9d6b1c054395c47ea1f988125c5e3daf9a9531ea66a6011e2
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size 93533
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runs/Apr18_16-16-11_gpu4-119-5/events.out.tfevents.1714076921.gpu4-119-5.3879473.1
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version https://git-lfs.github.com/spec/v1
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oid sha256:942c22b48077e253f82da8794b832ffb51624e1978fe061935813848a406ea82
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size 828
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train_results.json
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{
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"epoch": 1.0,
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"train_loss": 0.3462253446340561,
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| 4 |
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"train_runtime": 13267.124,
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| 5 |
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"train_samples": 61135,
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| 6 |
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"train_samples_per_second": 0.377,
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| 7 |
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"train_steps_per_second": 0.094
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| 8 |
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}
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trainer_state.json
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| 1 |
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| 2 |
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| 11 |
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| 24 |
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| 27 |
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| 30 |
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| 31 |
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