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---
metrics:
- accuracy
model-index:
- name: opt-small-sw
results: []
language:
- en
widget:
- 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:"
example_title: "SW Example 1"
---
# opt-small-sw
This model is a fine-tuned version of [facebook/opt-125m](https://huggingface.co/facebook/opt-125m) on the SwitchBoard dataset.
It achieves the following results on the evaluation set:
- Loss: 2.7166
- Accuracy: 0.4663
## Model description
More details soon.
## Intended uses & limitations
More details soon.
## Training and evaluation data
More details soon.
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 7
- eval_batch_size: 7
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20.0
### Training results
### Framework versions
- Transformers 4.26.0
- Pytorch 1.13.1
- Datasets 2.9.0
- Tokenizers 0.13.0.dev0
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