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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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model-index: |
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- name: DialoGPT_EmpAI_final2 |
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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_EmpAI_final2 |
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This model is a fine-tuned version of [microsoft/DialoGPT-small](https://huggingface.co./microsoft/DialoGPT-small) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.7547 |
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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: 0.0001 |
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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: 8 |
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- total_train_batch_size: 64 |
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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: 25000 |
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- num_epochs: 15 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:-----:|:---------------:| |
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| 4.5766 | 1.0 | 1500 | 3.9055 | |
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| 3.6326 | 2.0 | 3000 | 3.3553 | |
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| 3.3738 | 3.0 | 4500 | 3.1776 | |
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| 3.2193 | 4.0 | 6000 | 3.0785 | |
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| 3.1067 | 5.0 | 7500 | 3.0097 | |
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| 3.0286 | 6.0 | 9000 | 2.9714 | |
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| 2.961 | 7.0 | 10500 | 2.9407 | |
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| 2.8925 | 8.0 | 12000 | 2.9111 | |
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| 2.8291 | 9.0 | 13500 | 2.8815 | |
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| 2.7617 | 10.0 | 15000 | 2.8577 | |
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| 2.7061 | 11.0 | 16500 | 2.8126 | |
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| 2.6515 | 12.0 | 18000 | 2.7981 | |
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| 2.6165 | 13.0 | 19500 | 2.7822 | |
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| 2.5813 | 14.0 | 21000 | 2.7689 | |
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| 2.5213 | 15.0 | 22500 | 2.7547 | |
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### Framework versions |
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- Transformers 4.38.2 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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