71 lines
1.5 KiB
Markdown
71 lines
1.5 KiB
Markdown
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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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