74 lines
2.2 KiB
Markdown
74 lines
2.2 KiB
Markdown
---
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library_name: transformers
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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: zephyr-7b-gemma-dpo
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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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# zephyr-7b-gemma-dpo
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This model was trained from scratch on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.5287
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- Rewards/chosen: 0.4753
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- Rewards/rejected: -0.1181
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- Rewards/accuracies: 0.7708
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- Rewards/margins: 0.5934
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- Logps/rejected: -326.4217
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- Logps/chosen: -277.1591
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- Logits/rejected: -1.3248
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- Logits/chosen: -1.3362
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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: 4
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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: 4
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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: cosine
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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs: 2
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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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| 0.5532 | 0.9858 | 52 | 0.5591 | 0.4980 | 0.0692 | 0.7604 | 0.4288 | -322.6760 | -276.7043 | -1.3205 | -1.3316 |
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| 0.4562 | 1.9716 | 104 | 0.5287 | 0.4753 | -0.1181 | 0.7708 | 0.5934 | -326.4217 | -277.1591 | -1.3248 | -1.3362 |
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### Framework versions
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- Transformers 4.45.2
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- Pytorch 2.5.1+rocm6.2
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- Datasets 3.2.0
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- Tokenizers 0.20.3
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