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--- |
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library_name: transformers |
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license: llama3.1 |
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base_model: meta-llama/Meta-Llama-3.1-8B-Instruct |
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tags: |
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- alignment-handbook |
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- trl |
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- cpo |
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- generated_from_trainer |
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- trl |
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- cpo |
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- generated_from_trainer |
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datasets: |
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- princeton-nlp/llama3-ultrafeedback |
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model-index: |
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- name: llama3.1-cpo-full-0911 |
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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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# llama3.1-cpo-full-0911 |
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This model is a fine-tuned version of [meta-llama/Meta-Llama-3.1-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3.1-8B-Instruct) on the princeton-nlp/llama3-ultrafeedback dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.5984 |
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- Rewards/chosen: -14.3945 |
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- Rewards/rejected: -15.5836 |
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- Rewards/accuracies: 0.6304 |
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- Rewards/margins: 1.1892 |
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- Logps/rejected: -155.8365 |
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- Logps/chosen: -143.9448 |
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- Logits/rejected: -0.3142 |
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- Logits/chosen: -0.3408 |
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- Nll Loss: 0.3937 |
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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: 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: 4 |
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- gradient_accumulation_steps: 8 |
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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: linear |
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- lr_scheduler_warmup_ratio: 0.1 |
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- num_epochs: 3 |
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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 | Nll Loss | |
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|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|:--------:| |
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| 1.5867 | 0.9986 | 432 | 1.5248 | -16.0094 | -16.9746 | 0.6587 | 0.9652 | -169.7457 | -160.0941 | -0.4783 | -0.5128 | 0.4373 | |
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| 0.7108 | 1.9994 | 865 | 1.5252 | -14.8375 | -15.9459 | 0.6500 | 1.1084 | -159.4588 | -148.3749 | -0.4403 | -0.4684 | 0.4056 | |
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| 0.4426 | 2.9957 | 1296 | 1.5984 | -14.3945 | -15.5836 | 0.6304 | 1.1892 | -155.8365 | -143.9448 | -0.3142 | -0.3408 | 0.3937 | |
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### Framework versions |
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- Transformers 4.44.2 |
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- Pytorch 2.3.1 |
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- Datasets 2.21.0 |
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- Tokenizers 0.19.1 |
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