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--- |
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library_name: transformers |
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license: llama3 |
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base_model: meta-llama/Meta-Llama-3-8B-Instruct |
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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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- trl |
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- simpo |
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- generated_from_trainer |
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datasets: |
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- yakazimir/llama3-ultrafeedback-armorm |
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model-index: |
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- name: llama3_l5_best_entropy |
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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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# llama3_l5_best_entropy |
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This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct) on the yakazimir/llama3-ultrafeedback-armorm dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.4398 |
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- Rewards/chosen: -8.4238 |
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- Rewards/rejected: -21.7089 |
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- Rewards/accuracies: 0.8795 |
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- Rewards/margins: 13.2850 |
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- Logps/rejected: -2.1709 |
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- Logps/chosen: -0.8424 |
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- Logits/rejected: -1.4192 |
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- Logits/chosen: -1.5108 |
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- Semantic Entropy: 0.8327 |
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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: 1e-06 |
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- train_batch_size: 2 |
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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: 4 |
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- gradient_accumulation_steps: 16 |
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- total_train_batch_size: 128 |
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- total_eval_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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- num_epochs: 2.0 |
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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 | Semantic Entropy | |
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|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|:----------------:| |
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| 1.5778 | 0.8743 | 400 | 1.6373 | -8.6865 | -18.8603 | 0.8735 | 10.1738 | -1.8860 | -0.8687 | -1.4323 | -1.5078 | 0.8519 | |
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| 0.9552 | 1.7486 | 800 | 1.4402 | -8.2804 | -21.2503 | 0.8795 | 12.9699 | -2.1250 | -0.8280 | -1.4434 | -1.5360 | 0.8377 | |
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### Framework versions |
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- Transformers 4.44.2 |
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- Pytorch 2.2.2+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.19.1 |
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