Model save
Browse files- README.md +84 -0
- adapter_model.safetensors +1 -1
- all_results.json +21 -0
- eval_results.json +16 -0
- runs/Apr09_00-15-49_gpu4-119-5/events.out.tfevents.1712585821.gpu4-119-5.62377.0 +2 -2
- runs/Apr09_00-15-49_gpu4-119-5/events.out.tfevents.1712599370.gpu4-119-5.62377.1 +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-u3-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-u3-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: 0.0976
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- Rewards/chosen: -0.2046
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- Rewards/rejected: -0.1684
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- Rewards/accuracies: 0.3440
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- Rewards/margins: -0.0362
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- Logps/rejected: -271.7846
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- Logps/chosen: -287.1580
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- Logits/rejected: -1.8253
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- Logits/chosen: -1.9851
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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: 5
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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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| 0.3803 | 0.4 | 100 | 0.0537 | 0.0 | 0.0 | 0.0 | 0.0 | -254.9398 | -266.6976 | -1.8067 | -1.9618 |
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| 0.2732 | 0.8 | 200 | 0.0585 | -0.0406 | -0.0433 | 0.4405 | 0.0028 | -259.2744 | -270.7553 | -1.8367 | -1.9952 |
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| 0.3013 | 1.2 | 300 | 0.0800 | -0.3312 | -0.3632 | 0.4645 | 0.0319 | -291.2575 | -299.8226 | -1.8131 | -1.9752 |
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| 0.3433 | 1.6 | 400 | 0.0812 | -0.3364 | -0.3695 | 0.4675 | 0.0331 | -291.8892 | -300.3361 | -1.8102 | -1.9721 |
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| 0.3606 | 2.0 | 500 | 0.1100 | -0.3181 | -0.2920 | 0.3735 | -0.0262 | -284.1371 | -298.5123 | -1.8348 | -1.9970 |
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| 0.3038 | 2.4 | 600 | 0.1092 | -0.3233 | -0.2979 | 0.3770 | -0.0254 | -284.7261 | -299.0256 | -1.8317 | -1.9936 |
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| 0.3161 | 2.8 | 700 | 0.1069 | -0.3172 | -0.2929 | 0.3800 | -0.0243 | -284.2322 | -298.4158 | -1.8345 | -1.9966 |
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| 0.3852 | 3.2 | 800 | 0.0918 | -0.2304 | -0.2057 | 0.3685 | -0.0247 | -275.5103 | -289.7388 | -1.8409 | -2.0019 |
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| 0.3359 | 3.6 | 900 | 0.0983 | -0.2063 | -0.1696 | 0.3430 | -0.0368 | -271.8958 | -287.3323 | -1.8240 | -1.9838 |
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| 0.3701 | 4.0 | 1000 | 0.0982 | -0.2062 | -0.1693 | 0.3455 | -0.0368 | -271.8734 | -287.3159 | -1.8241 | -1.9838 |
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| 0.4025 | 4.4 | 1100 | 0.0975 | -0.2047 | -0.1687 | 0.3455 | -0.0359 | -271.8127 | -287.1649 | -1.8260 | -1.9858 |
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| 0.3754 | 4.8 | 1200 | 0.0974 | -0.2044 | -0.1685 | 0.3440 | -0.0359 | -271.7890 | -287.1331 | -1.8256 | -1.9853 |
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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": 5.0,
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"eval_logits/chosen": -1.985146403312683,
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"eval_logits/rejected": -1.8253288269042969,
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"eval_logps/chosen": -287.1579895019531,
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"eval_logps/rejected": -271.7846374511719,
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"eval_loss": 0.09761956334114075,
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"eval_rewards/accuracies": 0.3440000116825104,
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"eval_rewards/chosen": -0.20460382103919983,
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"eval_rewards/margins": -0.03615570068359375,
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"eval_rewards/rejected": -0.16844810545444489,
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"eval_runtime": 700.8137,
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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": 2.854,
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"eval_steps_per_second": 1.427,
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"train_loss": 0.3515237546205521,
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| 17 |
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"train_runtime": 12848.6235,
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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": 0.389,
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"train_steps_per_second": 0.097
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}
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eval_results.json
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{
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"epoch": 5.0,
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"eval_logits/chosen": -1.985146403312683,
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| 4 |
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"eval_logits/rejected": -1.8253288269042969,
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| 5 |
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"eval_logps/chosen": -287.1579895019531,
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| 6 |
+
"eval_logps/rejected": -271.7846374511719,
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| 7 |
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"eval_loss": 0.09761956334114075,
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| 8 |
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"eval_rewards/accuracies": 0.3440000116825104,
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| 9 |
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"eval_rewards/chosen": -0.20460382103919983,
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| 10 |
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"eval_rewards/margins": -0.03615570068359375,
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| 11 |
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"eval_rewards/rejected": -0.16844810545444489,
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| 12 |
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"eval_runtime": 700.8137,
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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": 2.854,
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| 15 |
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"eval_steps_per_second": 1.427
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| 16 |
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}
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runs/Apr09_00-15-49_gpu4-119-5/events.out.tfevents.1712585821.gpu4-119-5.62377.0
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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 sha256:17c4cdfd9f1d73928b23aa491fa399d4e8992f00397d92888969d54f364cdd70
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size 93528
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runs/Apr09_00-15-49_gpu4-119-5/events.out.tfevents.1712599370.gpu4-119-5.62377.1
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version https://git-lfs.github.com/spec/v1
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oid sha256:eec89bcc991eabf2b45665dde3bfe1a30c8c6ad5e48ba72f6ea3be5af2fd1b27
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size 828
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train_results.json
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{
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"epoch": 5.0,
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"train_loss": 0.3515237546205521,
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| 4 |
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"train_runtime": 12848.6235,
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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": 0.389,
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| 7 |
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"train_steps_per_second": 0.097
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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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| 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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