Duplicate from alignment-handbook/zephyr-7b-dpo-qlora

Co-authored-by: Edward Beeching <[email protected]>

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README.md

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+---
+license: apache-2.0
+library_name: peft
+tags:
+- alignment-handbook
+- generated_from_trainer
+- trl
+- dpo
+- generated_from_trainer
+datasets:
+- HuggingFaceH4/ultrafeedback_binarized
+base_model: mistralai/Mistral-7B-v0.1
+model-index:
+- name: zephyr-7b-dpo-qlora
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# zephyr-7b-dpo-qlora
+
+This model is a fine-tuned version of [alignment-handbook/zephyr-7b-sft-qlora](https://huggingface.co/alignment-handbook/zephyr-7b-sft-qlora) on the HuggingFaceH4/ultrafeedback_binarized dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.5473
+- Rewards/chosen: -0.8609
+- Rewards/rejected: -1.5251
+- Rewards/accuracies: 0.7422
+- Rewards/margins: 0.6641
+- Logps/rejected: -404.3018
+- Logps/chosen: -336.2481
+- Logits/rejected: 0.0706
+- Logits/chosen: -0.1471
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 5e-06
+- train_batch_size: 4
+- eval_batch_size: 8
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 8
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 64
+- total_eval_batch_size: 64
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 1
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
+|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
+| 0.6812        | 0.1   | 100  | 0.6787          | 0.0452         | 0.0120           | 0.6992             | 0.0332          | -250.5929      | -245.6322    | -2.1942         | -2.2517       |
+| 0.6066        | 0.21  | 200  | 0.6151          | -0.2303        | -0.5020          | 0.6992             | 0.2717          | -301.9975      | -273.1855    | -1.9906         | -2.0610       |
+| 0.5711        | 0.31  | 300  | 0.5927          | -0.4441        | -0.8513          | 0.7188             | 0.4072          | -336.9228      | -294.5666    | -1.9417         | -2.0223       |
+| 0.557         | 0.42  | 400  | 0.5817          | -0.5958        | -1.0732          | 0.7227             | 0.4773          | -359.1117      | -309.7378    | -1.7434         | -1.8364       |
+| 0.5703        | 0.52  | 500  | 0.5679          | -0.7215        | -1.2405          | 0.7266             | 0.5189          | -375.8402      | -322.3068    | -0.8467         | -0.9967       |
+| 0.5498        | 0.63  | 600  | 0.5582          | -0.7003        | -1.2848          | 0.7578             | 0.5845          | -380.2699      | -320.1794    | -0.2510         | -0.4463       |
+| 0.5279        | 0.73  | 700  | 0.5490          | -0.8400        | -1.4901          | 0.75               | 0.6501          | -400.8082      | -334.1553    | 0.0145          | -0.1988       |
+| 0.5264        | 0.84  | 800  | 0.5475          | -0.8613        | -1.5228          | 0.7461             | 0.6615          | -404.0751      | -336.2833    | 0.0604          | -0.1549       |
+| 0.5639        | 0.94  | 900  | 0.5475          | -0.8628        | -1.5267          | 0.7422             | 0.6639          | -404.4688      | -336.4348    | 0.0704          | -0.1466       |
+
+
+### Framework versions
+
+- PEFT 0.7.1
+- Transformers 4.36.2
+- Pytorch 2.1.2+cu121
+- Datasets 2.14.6
+- Tokenizers 0.15.0

adapter_config.json

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+  "base_model_name_or_path": "mistralai/Mistral-7B-v0.1",
+  "bias": "none",
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+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layers_pattern": null,
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+  "task_type": "CAUSAL_LM"
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config.json

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+  "architectures": [
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+  "vocab_size": 32000
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