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README.md
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@@ -85,6 +85,16 @@ The following hyperparameters were used during training:
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- lr_scheduler_warmup_ratio: 0.03
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- num_epochs: 3
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## Inference Example
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```python
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- lr_scheduler_warmup_ratio: 0.03
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- num_epochs: 3
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## Environmental Impact
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Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact/#compute) presented in Lacoste et al. (2019).
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- **Hardware Type**: 1 X RTX4090
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- **Hours used**: 4
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- **Cloud Provider**: Vast.ai
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- **Compute Region**: West Europe
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- **Carbon Emitted**: 350W x 4h = 1.4 kWh x 0.57 kg eq. CO2/kWh = 0.8 kg eq. CO2
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## Inference Example
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```python
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