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--- |
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base_model: save_model/llama3-2k-rm-ref-spa_2 |
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tags: |
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- alignment-handbook |
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- generated_from_trainer |
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datasets: |
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- datasets/training-llama3-2k-rm-ref-spa_3 |
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model-index: |
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- name: llama3-2k-rm-ref-spa_3 |
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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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# llama3-2k-rm-ref-spa_3 |
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This model is a fine-tuned version of [save_model/llama3-2k-rm-ref-spa_2](https://huggingface.co/save_model/llama3-2k-rm-ref-spa_2) on the datasets/training-llama3-2k-rm-ref-spa_3 dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.7454 |
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- Rewards/chosen: -0.8829 |
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- Rewards/rejected: -0.9416 |
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- Rewards/accuracies: 0.5468 |
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- Rewards/margins: 0.0588 |
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- Rewards/mix Margin: 0.0588 |
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- Logps/rejected: -295.0553 |
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- Logps/chosen: -336.0750 |
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- Logits/rejected: -0.4778 |
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- Logits/chosen: -0.4730 |
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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: 5e-07 |
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- train_batch_size: 1 |
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- eval_batch_size: 1 |
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- seed: 42 |
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- distributed_type: multi-GPU |
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- num_devices: 2 |
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- gradient_accumulation_steps: 8 |
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- total_train_batch_size: 16 |
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- total_eval_batch_size: 2 |
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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: 1 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Rewards/mix Margin | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen | |
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|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:------------------:|:--------------:|:------------:|:---------------:|:-------------:| |
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| 0.6863 | 0.53 | 1000 | 0.7454 | -0.8829 | -0.9416 | 0.5468 | 0.0588 | 0.0588 | -295.0553 | -336.0750 | -0.4778 | -0.4730 | |
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### Framework versions |
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- Transformers 4.36.2 |
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- Pytorch 2.1.2+cu121 |
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- Datasets 2.14.6 |
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- Tokenizers 0.15.2 |
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