End of training
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README.md
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---
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license: apache-2.0
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library_name: peft
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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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base_model: AI-Sweden-Models/gpt-sw3-1.3b
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model-index:
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- name: gpt1B_DPO_model_ver2
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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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# gpt1B_DPO_model_ver2
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This model is a fine-tuned version of [AI-Sweden-Models/gpt-sw3-1.3b](https://huggingface.co/AI-Sweden-Models/gpt-sw3-1.3b) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0069
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- Rewards/chosen: 0.0482
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- Rewards/rejected: -6.7989
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- Rewards/accuracies: 1.0
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- Rewards/margins: 6.8472
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- Logps/rejected: -275.1611
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- Logps/chosen: -112.8062
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- Logits/rejected: -2.7230
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- Logits/chosen: -2.9162
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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-05
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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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- gradient_accumulation_steps: 8
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- total_train_batch_size: 8
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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: 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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| 0.0089 | 0.79 | 200 | 0.0086 | 0.0829 | -6.3343 | 1.0 | 6.4172 | -270.5143 | -112.4591 | -2.7397 | -2.9321 |
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| 0.0031 | 1.59 | 400 | 0.0069 | 0.0482 | -6.7989 | 1.0 | 6.8472 | -275.1611 | -112.8062 | -2.7230 | -2.9162 |
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### Framework versions
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- PEFT 0.8.2
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- Transformers 4.38.1
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- Pytorch 2.2.0+cu118
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- Datasets 2.17.1
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- Tokenizers 0.15.2
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