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Apr 16, 2025
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Update fine-tune-vit.md #2743

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6 changes: 3 additions & 3 deletions fine-tune-vit.md
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Expand Up @@ -325,14 +325,14 @@ def collate_fn(batch):

### Define an evaluation metric

The [accuracy](https://huggingface.co/metrics/accuracy) metric from `datasets` can easily be used to compare the predictions with the labels. Below, you can see how to use it within a `compute_metrics` function that will be used by the `Trainer`.
The [accuracy](https://huggingface.co/metrics/accuracy) metric from `evaluate` can easily be used to compare the predictions with the labels. Below, you can see how to use it within a `compute_metrics` function that will be used by the `Trainer`.


```python
import numpy as np
from datasets import load_metric
from evaluate import load

metric = load_metric("accuracy")
metric = load("accuracy")
def compute_metrics(p):
return metric.compute(predictions=np.argmax(p.predictions, axis=1), references=p.label_ids)
```
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