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--- |
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library_name: transformers |
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license: other |
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base_model: trl-lib/qwen1.5-0.5b-sft |
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tags: |
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- alignment-handbook |
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- trl |
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- simpo |
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- generated_from_trainer |
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model-index: |
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- name: trl-lib/qwen1.5-0.5b-sft |
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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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# trl-lib/qwen1.5-0.5b-sft |
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This model is a fine-tuned version of [trl-lib/qwen1.5-0.5b-sft](https://huggingface.co/trl-lib/qwen1.5-0.5b-sft) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.7797 |
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- Rewards/chosen: -1.7866 |
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- Rewards/rejected: -1.8726 |
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- Rewards/accuracies: 0.5230 |
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- Rewards/margins: 0.0860 |
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- Logps/rejected: -1.8726 |
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- Logps/chosen: -1.7866 |
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- Logits/rejected: -0.3259 |
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- Logits/chosen: -0.3565 |
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- Semantic Entropy: 0.6461 |
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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: 8e-08 |
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- train_batch_size: 1 |
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- eval_batch_size: 4 |
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- seed: 42 |
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- gradient_accumulation_steps: 16 |
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- total_train_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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- training_steps: 60 |
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### Training results |
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### Framework versions |
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- Transformers 4.44.2 |
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- Pytorch 2.4.0+cu121 |
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- Datasets 3.0.1 |
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- Tokenizers 0.19.1 |
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