Model save
Browse files- README.md +88 -0
- adapter_model.safetensors +1 -1
- all_results.json +8 -0
- runs/Jul29_12-00-30_node02/events.out.tfevents.1722222423.node02.3000485.0 +2 -2
- train_results.json +8 -0
- trainer_state.json +2380 -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: alignment-handbook/zephyr-7b-sft-full
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model-index:
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- name: zephyr-dpop-qlora-gpt4-5e-7-epoch3
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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-dpop-qlora-gpt4-5e-7-epoch3
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This model is a fine-tuned version of [alignment-handbook/zephyr-7b-sft-full](https://huggingface.co/alignment-handbook/zephyr-7b-sft-full) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.5707
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- Positive Losses: 8.9081
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- Dpo Losses: 0.6660
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- Rewards/chosen: -0.0431
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- Rewards/rejected: -0.1110
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- Rewards/accuracies: 0.6151
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- Rewards/margins: 0.0679
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- Rewards/margins Max: 0.3167
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- Rewards/margins Min: -0.1568
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- Rewards/margins Std: 0.2111
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- Logps/rejected: -270.2825
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- Logps/chosen: -289.5273
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- Logits/rejected: -2.6606
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- Logits/chosen: -2.7037
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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-07
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- train_batch_size: 2
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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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- num_devices: 8
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- total_train_batch_size: 16
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- total_eval_batch_size: 32
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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: 3
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Positive Losses | Dpo Losses | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Rewards/margins Max | Rewards/margins Min | Rewards/margins Std | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
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|:-------------:|:-----:|:----:|:---------------:|:---------------:|:----------:|:--------------:|:----------------:|:------------------:|:---------------:|:-------------------:|:-------------------:|:-------------------:|:--------------:|:------------:|:---------------:|:-------------:|
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| 0.6835 | 0.28 | 100 | 0.6965 | 0.0436 | 0.6917 | 0.0092 | 0.0061 | 0.5833 | 0.0030 | 0.0155 | -0.0076 | 0.0103 | -258.5689 | -284.3059 | -2.8089 | -2.8541 |
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| 0.6367 | 0.56 | 200 | 0.7633 | 0.6990 | 0.6863 | 0.0215 | 0.0070 | 0.5873 | 0.0145 | 0.0761 | -0.0391 | 0.0511 | -258.4836 | -283.0695 | -2.7779 | -2.8224 |
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| 0.5913 | 0.85 | 300 | 0.9198 | 2.2041 | 0.6810 | 0.0123 | -0.0144 | 0.5714 | 0.0267 | 0.1358 | -0.0683 | 0.0899 | -260.6202 | -283.9922 | -2.7412 | -2.7853 |
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| 0.5502 | 1.13 | 400 | 1.0826 | 3.7846 | 0.6770 | 0.0010 | -0.0361 | 0.5754 | 0.0370 | 0.1861 | -0.0963 | 0.1243 | -262.7899 | -285.1261 | -2.7113 | -2.7545 |
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| 0.5398 | 1.41 | 500 | 1.1571 | 4.6567 | 0.6734 | 0.0027 | -0.0441 | 0.5833 | 0.0468 | 0.2338 | -0.1166 | 0.1549 | -263.5918 | -284.9548 | -2.6935 | -2.7368 |
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| 0.5293 | 1.69 | 600 | 1.2245 | 5.3740 | 0.6703 | 0.0016 | -0.0536 | 0.5913 | 0.0552 | 0.2655 | -0.1284 | 0.1752 | -264.5410 | -285.0616 | -2.6767 | -2.7201 |
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| 0.5238 | 1.97 | 700 | 1.3783 | 6.9387 | 0.6683 | -0.0190 | -0.0800 | 0.6032 | 0.0610 | 0.2891 | -0.1425 | 0.1922 | -267.1869 | -287.1237 | -2.6726 | -2.7154 |
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| 0.488 | 2.25 | 800 | 1.4896 | 8.0964 | 0.6670 | -0.0328 | -0.0978 | 0.6111 | 0.0650 | 0.3063 | -0.1511 | 0.2037 | -268.9666 | -288.5044 | -2.6644 | -2.7076 |
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| 0.5027 | 2.54 | 900 | 1.5575 | 8.7828 | 0.6661 | -0.0416 | -0.1091 | 0.6190 | 0.0675 | 0.3151 | -0.1563 | 0.2099 | -270.0926 | -289.3809 | -2.6629 | -2.7059 |
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| 0.4962 | 2.82 | 1000 | 1.5707 | 8.9081 | 0.6660 | -0.0431 | -0.1110 | 0.6151 | 0.0679 | 0.3167 | -0.1568 | 0.2111 | -270.2825 | -289.5273 | -2.6606 | -2.7037 |
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### Framework versions
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- PEFT 0.7.1
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- Transformers 4.39.0.dev0
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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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version https://git-lfs.github.com/spec/v1
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size 671150064
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version https://git-lfs.github.com/spec/v1
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oid sha256:9aa6a63c1f04b9bcd9909ce2443b9d4dbb12f0f073d7307c4703a7f6f5dde8f3
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size 671150064
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all_results.json
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{
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"epoch": 3.0,
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"train_loss": 0.5596254680078354,
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"train_runtime": 11165.5936,
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"train_samples": 5678,
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"train_samples_per_second": 1.526,
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"train_steps_per_second": 0.095
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}
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runs/Jul29_12-00-30_node02/events.out.tfevents.1722222423.node02.3000485.0
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version https://git-lfs.github.com/spec/v1
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size
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version https://git-lfs.github.com/spec/v1
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oid sha256:01529344d77ce278f9518776ae2bab343c21a98b40d20713ce3884eba1ae2d49
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size 122338
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train_results.json
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{
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"epoch": 3.0,
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"train_loss": 0.5596254680078354,
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"train_runtime": 11165.5936,
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"train_samples": 5678,
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"train_samples_per_second": 1.526,
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"train_steps_per_second": 0.095
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}
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trainer_state.json
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