Spaces:
Running
Running
comet icon
Browse files- introduction.md +1 -1
introduction.md
CHANGED
|
@@ -37,7 +37,7 @@ To get competitive results we followed three strategies:
|
|
| 37 |
2. better augmentations;
|
| 38 |
3. better training.
|
| 39 |
|
| 40 |
-
For those interested, we have a [Comet](https://www.comet.ml/g8a9/clip-italian/reports/clip-italian-training-metrics)
|
| 41 |
that shows a **subset** of the experiments we run. Different hyper-parameters played a role in reducing the validation
|
| 42 |
loss. The optimizer gave us great performance and huge conversion speed, more data and augmentations helped a lot in generalizing,
|
| 43 |
working on the training and on the loss gave us the final increase that you can see in the results.
|
|
|
|
| 37 |
2. better augmentations;
|
| 38 |
3. better training.
|
| 39 |
|
| 40 |
+
For those interested, we have a :comet: [Comet](https://www.comet.ml/g8a9/clip-italian/reports/clip-italian-training-metrics) report
|
| 41 |
that shows a **subset** of the experiments we run. Different hyper-parameters played a role in reducing the validation
|
| 42 |
loss. The optimizer gave us great performance and huge conversion speed, more data and augmentations helped a lot in generalizing,
|
| 43 |
working on the training and on the loss gave us the final increase that you can see in the results.
|