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--- |
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metrics: |
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- accuracy |
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model-index: |
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- name: opt-small-sw |
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results: [] |
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language: |
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- en |
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widget: |
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- text: "A:The rest of it is just like wild flowers\nB:Wild flowers.\nA:and in the summertime we get the prettiest yellow flowers.\nB:Uh-huh.\nA:They're about, oh, I guess, a third the size of your, palm of your hand\nB:" |
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example_title: "SW Example 1" |
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--- |
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# opt-small-sw |
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This model is a fine-tuned version of [facebook/opt-125m](https://huggingface.co/facebook/opt-125m) on the SwitchBoard dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.7166 |
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- Accuracy: 0.4663 |
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## Model description |
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More details soon. |
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## Intended uses & limitations |
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More details soon. |
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## Training and evaluation data |
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More details soon. |
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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: 7 |
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- eval_batch_size: 7 |
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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: 20.0 |
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### Training results |
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### Framework versions |
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- Transformers 4.26.0 |
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- Pytorch 1.13.1 |
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- Datasets 2.9.0 |
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- Tokenizers 0.13.0.dev0 |
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