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README.md ADDED
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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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+ - orpo
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+ - generated_from_trainer
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+ base_model: sail/Sailor-1.8B
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+ model-index:
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+ - name: OrpoSailor-1.8B
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+ results: []
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+ ---
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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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+
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+ # OrpoSailor-1.8B
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+
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+ This model is a fine-tuned version of [sail/Sailor-1.8B](https://huggingface.co/sail/Sailor-1.8B) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 4.4472
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+ - Rewards/chosen: -0.1546
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+ - Rewards/rejected: -0.1440
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+ - Rewards/accuracies: 0.0
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+ - Rewards/margins: -0.0106
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+ - Logps/rejected: -1.4399
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+ - Logps/chosen: -1.5456
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+ - Logits/rejected: 0.0181
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+ - Logits/chosen: -1.6644
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+ - Nll Loss: 4.3708
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+ - Log Odds Ratio: -0.7637
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+ - Log Odds Chosen: -0.1364
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 8e-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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+ - gradient_accumulation_steps: 4
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+ - total_train_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: linear
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+ - lr_scheduler_warmup_steps: 10
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+ - num_epochs: 1
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+
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+ ### Training results
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+
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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 | Nll Loss | Log Odds Ratio | Log Odds Chosen |
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+ |:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|:--------:|:--------------:|:---------------:|
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+ | 4.5248 | 0.8 | 1 | 4.4472 | -0.1546 | -0.1440 | 0.0 | -0.0106 | -1.4399 | -1.5456 | 0.0181 | -1.6644 | 4.3708 | -0.7637 | -0.1364 |
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+
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+
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+ ### Framework versions
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+
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+ - PEFT 0.10.0
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+ - Transformers 4.40.0
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+ - Pytorch 2.1.2
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+ - Datasets 2.19.0
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+ - Tokenizers 0.19.1
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