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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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- trl |
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- dpo |
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- generated_from_trainer |
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model-index: |
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- name: Llama0-3-8b-v0.1-dpo-lr1e-6-e1 |
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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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# Llama0-3-8b-v0.1-dpo-lr1e-6-e1 |
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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 an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.6081 |
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- Rewards/chosen: -1.5097 |
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- Rewards/rejected: -1.7233 |
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- Rewards/accuracies: 0.6129 |
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- Rewards/margins: 0.2136 |
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- Logps/rejected: -259.0845 |
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- Logps/chosen: -239.2623 |
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- Logits/rejected: 0.4158 |
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- Logits/chosen: 0.4094 |
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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: 8 |
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- seed: 42 |
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- distributed_type: multi-GPU |
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- num_devices: 8 |
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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: 64 |
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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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- num_epochs: 1.0 |
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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 | |
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|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:| |
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| 0.652 | 0.2137 | 100 | 0.6498 | -0.3163 | -0.3568 | 0.6169 | 0.0405 | -122.4376 | -119.9265 | 0.1437 | 0.1272 | |
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| 0.6273 | 0.4275 | 200 | 0.6269 | -0.8960 | -1.0115 | 0.6129 | 0.1155 | -187.9061 | -177.8965 | 0.3135 | 0.3044 | |
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| 0.6152 | 0.6412 | 300 | 0.6155 | -1.2887 | -1.4649 | 0.6129 | 0.1762 | -233.2506 | -217.1634 | 0.4062 | 0.4005 | |
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| 0.608 | 0.8549 | 400 | 0.6094 | -1.4301 | -1.6328 | 0.6089 | 0.2027 | -250.0380 | -231.3053 | 0.4062 | 0.4004 | |
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### Framework versions |
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- Transformers 4.45.1 |
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- Pytorch 2.4.1+cu121 |
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- Datasets 3.0.0 |
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- Tokenizers 0.20.0 |
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