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--- |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: dialogsum_ds |
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results: [] |
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widget: |
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- text: "A: I'm so thirsty. B: Let's go get something to drink. A: That's a good idea. B: Do you know what you want to drink? A: I kind of want a soda. B: You shouldn't drink soda when you're really thirsty. A: What do you mean? B: When you're thirsty, you're not supposed to drink soda. A: What are you supposed to drink? B: Water is what's best for you. A: I guess I will get water. B: It's better for you." |
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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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# dialogsum_ds |
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This model is a fine-tuned on cnn_dailymail dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.1124 |
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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-05 |
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- train_batch_size: 1 |
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- eval_batch_size: 1 |
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- seed: 42 |
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- gradient_accumulation_steps: 10 |
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- total_train_batch_size: 10 |
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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: 1 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 1.344 | 0.4 | 500 | 1.1821 | |
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| 1.1234 | 0.8 | 1000 | 1.1124 | |
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### Framework versions |
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- Transformers 4.16.2 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.0.0 |
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- Tokenizers 0.15.0 |
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