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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: TinyLlama/TinyLlama-1.1B-Chat-v1.0 |
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model-index: |
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- name: fununun |
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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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# fununun |
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This model is a fine-tuned version of [TinyLlama/TinyLlama-1.1B-Chat-v1.0](https://huggingface.co./TinyLlama/TinyLlama-1.1B-Chat-v1.0) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.6908 |
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- Rewards/chosen: 0.0015 |
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- Rewards/rejected: -0.0032 |
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- Rewards/accuracies: 0.7176 |
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- Rewards/margins: 0.0047 |
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- Logps/rejected: -197.2385 |
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- Logps/chosen: -235.0630 |
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- Logits/rejected: -3.0691 |
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- Logits/chosen: -3.1037 |
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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-07 |
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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: 16 |
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- total_train_batch_size: 32 |
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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: 20 |
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- training_steps: 100 |
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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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| 0.693 | 0.04 | 20 | 0.6927 | 0.0001 | -0.0007 | 0.5614 | 0.0009 | -197.2139 | -235.0765 | -3.0688 | -3.1035 | |
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| 0.6922 | 0.07 | 40 | 0.6919 | 0.0007 | -0.0017 | 0.6440 | 0.0024 | -197.2236 | -235.0704 | -3.0690 | -3.1036 | |
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| 0.6913 | 0.11 | 60 | 0.6913 | 0.0011 | -0.0025 | 0.6886 | 0.0037 | -197.2319 | -235.0664 | -3.0691 | -3.1037 | |
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| 0.6909 | 0.15 | 80 | 0.6909 | 0.0014 | -0.0030 | 0.7098 | 0.0044 | -197.2367 | -235.0639 | -3.0691 | -3.1037 | |
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| 0.6906 | 0.19 | 100 | 0.6908 | 0.0015 | -0.0032 | 0.7176 | 0.0047 | -197.2385 | -235.0630 | -3.0691 | -3.1037 | |
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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 2.1.0+cu121 |
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- Datasets 2.16.1 |
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- Tokenizers 0.15.0 |
