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--- |
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library_name: transformers |
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base_model: sam-paech/gutenberg3-orpo-exp02 |
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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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- sam-paech/gutenberg3-generalfiction-scifi-fantasy-romance-adventure-dpo |
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model-index: |
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- name: gemma-2-9b-it-gutenberg3 |
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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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# gemma-2-9b-it-gutenberg3 |
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This model is a fine-tuned version of [sam-paech/gutenberg3-orpo-exp02](https://huggingface.co/sam-paech/gutenberg3-orpo-exp02) on the sam-paech/gutenberg3-generalfiction-scifi-fantasy-romance-adventure-dpo dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 20.3722 |
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- Rewards/chosen: -27.5820 |
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- Rewards/rejected: -11.3463 |
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- Rewards/accuracies: 0.0 |
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- Rewards/margins: -16.2357 |
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- Logps/rejected: -1.1346 |
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- Logps/chosen: -2.7582 |
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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: 5.8e-08 |
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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: 5 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 10 |
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- total_eval_batch_size: 5 |
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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 | Logps/rejected | Logps/chosen | |
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|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:| |
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| 20.2621 | 0.7092 | 400 | 20.3722 | -27.5820 | -11.3463 | 0.0 | -16.2357 | -1.1346 | -2.7582 | |
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### Framework versions |
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- Transformers 4.45.2 |
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- Pytorch 2.2.0+cu121 |
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- Datasets 3.0.1 |
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- Tokenizers 0.20.1 |
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