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_06-03-54_gpu4-119-5/events.out.tfevents.1712606703.gpu4-119-5.188096.0 +2 -2
- runs/Apr09_06-03-54_gpu4-119-5/events.out.tfevents.1712620249.gpu4-119-5.188096.1 +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-u4-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-u4-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: 0.0595
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- Rewards/chosen: -0.1134
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- Rewards/rejected: -0.1090
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- Rewards/accuracies: 0.4030
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- Rewards/margins: -0.0044
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- Logps/rejected: -276.7458
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- Logps/chosen: -289.3788
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- Logits/rejected: -1.8514
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- Logits/chosen: -2.0125
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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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| 0.2725 | 0.8 | 200 | 0.0549 | -0.0209 | -0.0219 | 0.4410 | 0.0010 | -259.3280 | -270.8865 | -1.8361 | -1.9947 |
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| 0.3013 | 1.2 | 300 | 0.0532 | -0.1669 | -0.1811 | 0.4675 | 0.0141 | -291.1523 | -300.0851 | -1.8278 | -1.9902 |
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| 0.3433 | 1.6 | 400 | 0.0523 | -0.1720 | -0.1893 | 0.4780 | 0.0173 | -292.8069 | -301.0948 | -1.8287 | -1.9909 |
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| 0.3606 | 2.0 | 500 | 0.0623 | -0.1514 | -0.1465 | 0.4050 | -0.0048 | -284.2478 | -296.9682 | -1.8491 | -2.0112 |
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| 0.3038 | 2.4 | 600 | 0.0616 | -0.1610 | -0.1582 | 0.4090 | -0.0029 | -286.5705 | -298.9020 | -1.8490 | -2.0113 |
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| 0.3161 | 2.8 | 700 | 0.0613 | -0.1640 | -0.1619 | 0.4125 | -0.0021 | -287.3163 | -299.4932 | -1.8473 | -2.0096 |
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| 0.3852 | 3.2 | 800 | 0.0574 | -0.1342 | -0.1354 | 0.4260 | 0.0012 | -282.0106 | -293.5319 | -1.8537 | -2.0157 |
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| 0.3359 | 3.6 | 900 | 0.0595 | -0.1131 | -0.1086 | 0.4005 | -0.0044 | -276.6672 | -289.3095 | -1.8507 | -2.0116 |
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| 0.3701 | 4.0 | 1000 | 0.0596 | -0.1134 | -0.1090 | 0.4000 | -0.0044 | -276.7309 | -289.3763 | -1.8513 | -2.0123 |
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| 0.4025 | 4.4 | 1100 | 0.0596 | -0.1134 | -0.1088 | 0.4030 | -0.0045 | -276.7074 | -289.3722 | -1.8516 | -2.0127 |
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| 0.3754 | 4.8 | 1200 | 0.0595 | -0.1136 | -0.1091 | 0.4010 | -0.0044 | -276.7694 | -289.4114 | -1.8515 | -2.0125 |
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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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version https://git-lfs.github.com/spec/v1
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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": -2.0124804973602295,
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"eval_logits/rejected": -1.8513933420181274,
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"eval_logps/chosen": -289.3787841796875,
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"eval_logps/rejected": -276.745849609375,
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"eval_loss": 0.059522345662117004,
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| 8 |
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"eval_rewards/accuracies": 0.40299999713897705,
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| 9 |
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"eval_rewards/chosen": -0.11340584605932236,
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"eval_rewards/margins": -0.004375707823783159,
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"eval_rewards/rejected": -0.10903014987707138,
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"eval_runtime": 704.211,
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"eval_samples": 2000,
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| 14 |
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"eval_samples_per_second": 2.84,
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| 15 |
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"eval_steps_per_second": 1.42,
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"train_loss": 0.3429992333650589,
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| 17 |
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"train_runtime": 12841.5285,
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| 18 |
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"train_samples": 61135,
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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": -2.0124804973602295,
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| 4 |
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"eval_logits/rejected": -1.8513933420181274,
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| 5 |
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"eval_logps/chosen": -289.3787841796875,
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| 6 |
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"eval_logps/rejected": -276.745849609375,
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| 7 |
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"eval_loss": 0.059522345662117004,
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| 8 |
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"eval_rewards/accuracies": 0.40299999713897705,
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| 9 |
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"eval_rewards/chosen": -0.11340584605932236,
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| 10 |
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"eval_rewards/margins": -0.004375707823783159,
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| 11 |
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"eval_rewards/rejected": -0.10903014987707138,
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| 12 |
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"eval_runtime": 704.211,
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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": 2.84,
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| 15 |
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"eval_steps_per_second": 1.42
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}
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runs/Apr09_06-03-54_gpu4-119-5/events.out.tfevents.1712606703.gpu4-119-5.188096.0
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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 sha256:10812143249e670ca10b528d3b4910efef9320a060e3502b6f9df8ed541595d5
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size 93529
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runs/Apr09_06-03-54_gpu4-119-5/events.out.tfevents.1712620249.gpu4-119-5.188096.1
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version https://git-lfs.github.com/spec/v1
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oid sha256:d6017aa2d3d2c3f53438d46d2f932938b8910d0f62c12219704f1c8cf7c5b3b6
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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": 0.3429992333650589,
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| 4 |
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"train_runtime": 12841.5285,
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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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| 42 |
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