Enhancing Paraphrase Type Generation
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Enhancing Paraphrase Type Generation: The Impact of DPO and RLHF Evaluated with Human-Ranked Data
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Llama-3.1-8B-paraphrase-type-generation-etpc-apty-reward
This model is a fine-tuned version of meta-llama/Llama-3.1-8B on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.7851
- Accuracy: 0.4925
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 34 | 0.7886 | 0.4925 |
| No log | 2.0 | 68 | 0.7860 | 0.4925 |
| No log | 3.0 | 102 | 0.7851 | 0.4925 |
Framework versions
- PEFT 0.13.2
- Transformers 4.45.1
- Pytorch 2.4.1
- Datasets 3.0.1
- Tokenizers 0.20.0
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Model tree for cluebbers/Llama-3.1-8B-paraphrase-type-generation-etpc-apty-reward
Base model
meta-llama/Llama-3.1-8B