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--- |
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license: mit |
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base_model: microsoft/DialoGPT-small |
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tags: |
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- generated_from_trainer |
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datasets: |
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- crd3 |
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model-index: |
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- name: DialoGPT-small-crd3 |
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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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# DialoGPT-small-crd3 |
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This model is a fine-tuned version of [microsoft/DialoGPT-small](https://huggingface.co/microsoft/DialoGPT-small) on the crd3 dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.9150 |
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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: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 32 |
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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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- lr_scheduler_warmup_steps: 500 |
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- num_epochs: 7 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 2.7219 | 0.41 | 500 | 2.5055 | |
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| 2.1998 | 0.82 | 1000 | 2.1320 | |
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| 2.0375 | 1.23 | 1500 | 2.0455 | |
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| 1.9719 | 1.64 | 2000 | 2.0024 | |
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| 1.898 | 2.05 | 2500 | 1.9783 | |
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| 1.8977 | 2.46 | 3000 | 1.9598 | |
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| 1.8336 | 2.87 | 3500 | 1.9467 | |
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| 1.8316 | 3.28 | 4000 | 1.9379 | |
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| 1.7895 | 3.69 | 4500 | 1.9316 | |
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| 1.777 | 4.11 | 5000 | 1.9267 | |
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| 1.7648 | 4.52 | 5500 | 1.9205 | |
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| 1.7478 | 4.93 | 6000 | 1.9181 | |
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| 1.752 | 5.34 | 6500 | 1.9170 | |
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| 1.7284 | 5.75 | 7000 | 1.9158 | |
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| 1.7254 | 6.16 | 7500 | 1.9158 | |
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| 1.7272 | 6.57 | 8000 | 1.9152 | |
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| 1.7252 | 6.98 | 8500 | 1.9150 | |
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### Framework versions |
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- Transformers 4.33.1 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.14.5 |
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- Tokenizers 0.13.3 |
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