Model save
Browse files
README.md
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+
---
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base_model: alignment-handbook/zephyr-7b-sft-full
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library_name: peft
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license: apache-2.0
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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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model-index:
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- name: zephyr-dpop-qlora-uf-ours-5e-6-epoch1
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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-uf-ours-5e-6-epoch1
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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: 1.6048
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- Positive Losses: 8.7062
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- Dpo Losses: 0.6448
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- Rewards/chosen: 0.0014
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- Rewards/rejected: -0.1274
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- Rewards/accuracies: 0.6470
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- Rewards/margins: 0.1288
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- Rewards/margins Max: 0.6375
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- Rewards/margins Min: -0.3461
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- Rewards/margins Std: 0.3295
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- Logps/rejected: -271.3224
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- Logps/chosen: -284.4528
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- Logits/rejected: -2.6733
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- Logits/chosen: -2.7153
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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: 4
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- eval_batch_size: 8
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- seed: 42
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- distributed_type: multi-GPU
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- num_devices: 2
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- gradient_accumulation_steps: 2
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- total_train_batch_size: 16
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- total_eval_batch_size: 16
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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 | 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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| 0.6232 | 0.28 | 100 | 1.1413 | 4.2610 | 0.6656 | 0.0429 | -0.0252 | 0.6230 | 0.0680 | 0.4086 | -0.2281 | 0.2094 | -261.0972 | -280.3080 | -2.6361 | -2.6726 |
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| 0.5625 | 0.56 | 200 | 1.7186 | 9.6677 | 0.6469 | -0.0183 | -0.1426 | 0.6420 | 0.1243 | 0.6362 | -0.3433 | 0.3277 | -272.8399 | -286.4236 | -2.6380 | -2.6780 |
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| 0.4748 | 0.85 | 300 | 1.6048 | 8.7062 | 0.6448 | 0.0014 | -0.1274 | 0.6470 | 0.1288 | 0.6375 | -0.3461 | 0.3295 | -271.3224 | -284.4528 | -2.6733 | -2.7153 |
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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 sha256:157adab1be932a160809b22d2cd46ebc2232e78082ff3d33c796d6ccb4400be7
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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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"train_loss": 0.5743894765074824,
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"train_runtime": 4311.1014,
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"train_samples": 5678,
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"train_samples_per_second": 1.317,
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"train_steps_per_second": 0.082
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}
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runs/Jul29_11-02-20_notebook-deployment-48-7d9b6c99-khd85/events.out.tfevents.1722251035.notebook-deployment-48-7d9b6c99-khd85.3446409.0
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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 sha256:65c29e5ebef7728389473b36ffab0229575c62799e7ab454c0a958d4e15bf729
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size 44442
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train_results.json
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{
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"epoch": 1.0,
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"train_loss": 0.5743894765074824,
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"train_runtime": 4311.1014,
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"train_samples": 5678,
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"train_samples_per_second": 1.317,
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"train_steps_per_second": 0.082
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}
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trainer_state.json
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