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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-1e-05-deepspeed-True |
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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-1e-05-deepspeed-True |
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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: 2.4123 |
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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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- distributed_type: multi-GPU |
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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 | 4.2794 | |
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| No log | 2.0 | 80 | 3.5733 | |
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| No log | 3.0 | 120 | 3.1236 | |
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| No log | 4.0 | 160 | 2.8903 | |
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| No log | 5.0 | 200 | 2.7397 | |
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| No log | 6.0 | 240 | 2.6359 | |
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| No log | 7.0 | 280 | 2.5643 | |
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| No log | 8.0 | 320 | 2.5171 | |
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| No log | 9.0 | 360 | 2.4800 | |
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| No log | 10.0 | 400 | 2.4612 | |
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| No log | 11.0 | 440 | 2.4394 | |
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| No log | 12.0 | 480 | 2.4236 | |
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| 2.7705 | 13.0 | 520 | 2.4172 | |
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| 2.7705 | 14.0 | 560 | 2.4118 | |
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| 2.7705 | 15.0 | 600 | 2.4087 | |
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| 2.7705 | 16.0 | 640 | 2.4154 | |
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| 2.7705 | 17.0 | 680 | 2.4089 | |
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| 2.7705 | 18.0 | 720 | 2.4139 | |
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| 2.7705 | 19.0 | 760 | 2.4138 | |
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| 2.7705 | 20.0 | 800 | 2.4123 | |
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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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