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--- |
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license: mit |
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base_model: microsoft/DialoGPT-large |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: DialoGPT-large-faqs-block-size-128-bs-16-lr-5e-6 |
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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-large-faqs-block-size-128-bs-16-lr-5e-6 |
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This model is a fine-tuned version of [microsoft/DialoGPT-large](https://huggingface.co/microsoft/DialoGPT-large) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.5447 |
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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-06 |
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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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- 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: 20 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| No log | 1.0 | 40 | 4.7556 | |
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| No log | 2.0 | 80 | 4.0984 | |
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| No log | 3.0 | 120 | 3.6525 | |
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| No log | 4.0 | 160 | 3.3247 | |
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| No log | 5.0 | 200 | 3.1137 | |
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| No log | 6.0 | 240 | 2.9706 | |
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| No log | 7.0 | 280 | 2.8696 | |
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| No log | 8.0 | 320 | 2.7942 | |
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| No log | 9.0 | 360 | 2.7382 | |
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| No log | 10.0 | 400 | 2.6928 | |
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| No log | 11.0 | 440 | 2.6547 | |
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| No log | 12.0 | 480 | 2.6237 | |
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| 3.3313 | 13.0 | 520 | 2.6033 | |
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| 3.3313 | 14.0 | 560 | 2.5852 | |
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| 3.3313 | 15.0 | 600 | 2.5690 | |
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| 3.3313 | 16.0 | 640 | 2.5614 | |
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| 3.3313 | 17.0 | 680 | 2.5532 | |
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| 3.3313 | 18.0 | 720 | 2.5485 | |
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| 3.3313 | 19.0 | 760 | 2.5458 | |
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| 3.3313 | 20.0 | 800 | 2.5447 | |
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### Framework versions |
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- Transformers 4.33.0.dev0 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.14.4.dev0 |
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- Tokenizers 0.13.3 |
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