Model save
Browse files- README.md +77 -0
- adapter_model.safetensors +1 -1
- all_results.json +21 -0
- eval_results.json +16 -0
- runs/Feb26_23-36-47_gpu4-119-4/events.out.tfevents.1708951118.gpu4-119-4.3608392.0 +2 -2
- runs/Feb26_23-36-47_gpu4-119-4/events.out.tfevents.1708957045.gpu4-119-4.3608392.1 +3 -0
- train_results.json +8 -0
- trainer_state.json +624 -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-dpo-qlora
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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-dpo-qlora
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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: 0.6813
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- Rewards/chosen: -0.0009
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- Rewards/rejected: -0.0252
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- Rewards/accuracies: 0.2920
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- Rewards/margins: 0.0243
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- Logps/rejected: -71.3009
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- Logps/chosen: -65.4449
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- Logits/rejected: -2.4428
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- Logits/chosen: -2.4444
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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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- num_devices: 4
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 32
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- total_eval_batch_size: 8
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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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| 0.69 | 0.26 | 100 | 0.6897 | 0.0232 | 0.0168 | 0.2680 | 0.0064 | -67.1001 | -63.0342 | -2.4904 | -2.4911 |
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| 0.6869 | 0.52 | 200 | 0.6849 | 0.0066 | -0.0092 | 0.3060 | 0.0159 | -69.7060 | -64.6950 | -2.4556 | -2.4573 |
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| 0.681 | 0.78 | 300 | 0.6815 | -0.0026 | -0.0264 | 0.2880 | 0.0238 | -71.4280 | -65.6224 | -2.4430 | -2.4446 |
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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+cu118
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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 83946192
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size 83946192
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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": -2.444389581680298,
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"eval_logits/rejected": -2.4428083896636963,
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"eval_logps/chosen": -65.44485473632812,
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"eval_logps/rejected": -71.30088806152344,
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"eval_loss": 0.68132084608078,
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"eval_rewards/accuracies": 0.2919999957084656,
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"eval_rewards/chosen": -0.0008568476187065244,
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"eval_rewards/margins": 0.02430289424955845,
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"eval_rewards/rejected": -0.025159740820527077,
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"eval_runtime": 376.3354,
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"eval_samples": 2000,
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"eval_samples_per_second": 5.314,
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"eval_steps_per_second": 0.664,
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"train_loss": 0.6857879155593393,
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"train_runtime": 5551.1855,
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"train_samples": 12227,
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"train_samples_per_second": 2.203,
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"train_steps_per_second": 0.069
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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": -2.444389581680298,
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"eval_logits/rejected": -2.4428083896636963,
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"eval_logps/chosen": -65.44485473632812,
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"eval_logps/rejected": -71.30088806152344,
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"eval_loss": 0.68132084608078,
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"eval_rewards/accuracies": 0.2919999957084656,
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"eval_rewards/chosen": -0.0008568476187065244,
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"eval_rewards/margins": 0.02430289424955845,
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"eval_rewards/rejected": -0.025159740820527077,
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"eval_runtime": 376.3354,
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"eval_samples": 2000,
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"eval_samples_per_second": 5.314,
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"eval_steps_per_second": 0.664
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}
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runs/Feb26_23-36-47_gpu4-119-4/events.out.tfevents.1708951118.gpu4-119-4.3608392.0
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size 32073
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runs/Feb26_23-36-47_gpu4-119-4/events.out.tfevents.1708957045.gpu4-119-4.3608392.1
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version https://git-lfs.github.com/spec/v1
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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": 0.6857879155593393,
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"train_runtime": 5551.1855,
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"train_samples": 12227,
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"train_samples_per_second": 2.203,
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"train_steps_per_second": 0.069
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}
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trainer_state.json
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