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+ ---
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+ license: apache-2.0
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+ base_model: hZzy/qwen2.5-0.5b-sft-news-IFT
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+ tags:
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+ - trl
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+ - expo
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+ - generated_from_trainer
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+ model-index:
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+ - name: qwen2.5-0.5b-expo-DPO-EXPERIMENT-100-5e6
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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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+ [<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/zhiyuzha-university-of-florida/huggingface/runs/ptp2yd12)
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+ # qwen2.5-0.5b-expo-DPO-EXPERIMENT-100-5e6
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+
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+ This model is a fine-tuned version of [hZzy/qwen2.5-0.5b-sft-news-IFT](https://huggingface.co/hZzy/qwen2.5-0.5b-sft-news-IFT) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 153.9577
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+ - Logps: -79.3234
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+ - Logits: -1.1891
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+ - Objective: 152.3116
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+ - Dpo Loss: 152.3116
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+ - Regularize: 152.3116
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+ - Ranking Simple: 0.5227
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+ - Ranking Idealized: 0.5093
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+ - Ranking Idealized Expo: 0.5093
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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: 5e-06
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+ - train_batch_size: 4
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+ - eval_batch_size: 4
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+ - seed: 42
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+ - distributed_type: multi-GPU
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+ - num_devices: 6
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+ - gradient_accumulation_steps: 12
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+ - total_train_batch_size: 288
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+ - total_eval_batch_size: 24
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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: 2
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Logps | Logits | Objective | Dpo Loss | Regularize | Ranking Simple | Ranking Idealized | Ranking Idealized Expo |
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+ |:-------------:|:------:|:----:|:---------------:|:--------:|:-------:|:---------:|:--------:|:----------:|:--------------:|:-----------------:|:----------------------:|
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+ | 89.5677 | 0.2834 | 50 | 97.0098 | -93.4757 | -1.4670 | 103.5481 | 103.5481 | 103.5481 | 0.5072 | 0.5093 | 0.5093 |
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+ | 102.7372 | 0.5668 | 100 | 164.4481 | -79.3850 | -1.4159 | 169.0837 | 169.0837 | 169.0837 | 0.5238 | 0.5093 | 0.5093 |
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+ | 86.6457 | 0.8503 | 150 | 159.7297 | -80.3621 | -1.2164 | 155.2103 | 155.2103 | 155.2103 | 0.5279 | 0.5093 | 0.5093 |
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+ | 40.1205 | 1.1337 | 200 | 164.8019 | -78.8446 | -1.1758 | 161.0171 | 161.0171 | 161.0171 | 0.5248 | 0.5093 | 0.5093 |
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+ | 40.2475 | 1.4171 | 250 | 156.8958 | -80.0693 | -1.2420 | 156.9776 | 156.9776 | 156.9776 | 0.5279 | 0.5093 | 0.5093 |
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+ | 24.0056 | 1.7005 | 300 | 154.3221 | -79.4678 | -1.1971 | 153.7111 | 153.7111 | 153.7111 | 0.5238 | 0.5093 | 0.5093 |
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+ | 25.1496 | 1.9839 | 350 | 153.9577 | -79.3234 | -1.1891 | 152.3116 | 152.3116 | 152.3116 | 0.5227 | 0.5093 | 0.5093 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.42.0
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+ - Pytorch 2.3.0+cu121
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+ - Datasets 2.19.1
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+ - Tokenizers 0.19.1
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