fix colab link

Author: bebechien

PaliGemma/Finetune_PaliGemma_for_object_detection.ipynb

@@ -28,7 +28,7 @@
         "# distributed under the License is distributed on an \"AS IS\" BASIS,\n",
         "# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n",
         "# See the License for the specific language governing permissions and\n",
-        "# limitations under the License.     "
+        "# limitations under the License."
       ]
     },
     {
@@ -48,7 +48,7 @@
       "source": [
         "<table align=\"left\">\n",
         "  <td>\n",
-        "    <a target=\"_blank\" href=\"https://colab.research.google.com/drive/13fSUAhRviSI1YKhOmesjktw5BaI87sfm?usp=sharing\"><img src=\"https://www.tensorflow.org/images/colab_logo_32px.png\" />Run in Google Colab</a>\n",
+        "    <a target=\"_blank\" href=\"https://colab.research.google.com/github/google-gemini/gemma-cookbook/blob/main/PaliGemma/Finetune_PaliGemma_for_object_detection.ipynb\"><img src=\"https://www.tensorflow.org/images/colab_logo_32px.png\" />Run in Google Colab</a>\n",
         "  </td>\n",
         "</table>"
       ]
@@ -165,7 +165,8 @@
       "cell_type": "code",
       "execution_count": null,
       "metadata": {
-        "id": "Wtvz4QZ9YuG8"
+        "id": "Wtvz4QZ9YuG8",
+        "outputId": "d274444a-3953-47ee-be4c-0a2d8c4901ee"
       },
       "outputs": [
         {
@@ -187,7 +188,8 @@
       "cell_type": "code",
       "execution_count": null,
       "metadata": {
-        "id": "uz9tLPruj_65"
+        "id": "uz9tLPruj_65",
+        "outputId": "d65008c2-90d6-4a63-bbab-2339a9f77a32"
       },
       "outputs": [
         {
@@ -238,7 +240,8 @@
       "cell_type": "code",
       "execution_count": null,
       "metadata": {
-        "id": "WLhSenP5AtQe"
+        "id": "WLhSenP5AtQe",
+        "outputId": "f8f9b7a7-0b44-40db-ec05-473a6c82a5f4"
       },
       "outputs": [
         {
@@ -261,7 +264,8 @@
       "cell_type": "code",
       "execution_count": null,
       "metadata": {
-        "id": "YwHY21ABA0WG"
+        "id": "YwHY21ABA0WG",
+        "outputId": "66971ac1-8c8f-43c0-c6f1-9915436cad72"
       },
       "outputs": [
         {
@@ -295,7 +299,8 @@
       "cell_type": "code",
       "execution_count": null,
       "metadata": {
-        "id": "6ihTTuTd747l"
+        "id": "6ihTTuTd747l",
+        "outputId": "75354c12-9b33-4bf1-bfbd-bf028a32c53a"
       },
       "outputs": [
         {
@@ -458,7 +463,8 @@
       "cell_type": "code",
       "execution_count": null,
       "metadata": {
-        "id": "OlWELn2FHB22"
+        "id": "OlWELn2FHB22",
+        "outputId": "b16fa7b4-c417-4f51-ff52-5706d7f4c782"
       },
       "outputs": [
         {
@@ -545,7 +551,8 @@
       "cell_type": "code",
       "execution_count": null,
       "metadata": {
-        "id": "gQNOTfF24AV4"
+        "id": "gQNOTfF24AV4",
+        "outputId": "a80aa8c3-1282-4e25-aa6f-28b906551161"
       },
       "outputs": [
         {
@@ -660,7 +667,8 @@
       "cell_type": "code",
       "execution_count": null,
       "metadata": {
-        "id": "RWOdf_fw2SAO"
+        "id": "RWOdf_fw2SAO",
+        "outputId": "792a3652-7289-46aa-eb67-a2f8091d2014"
       },
       "outputs": [
         {
@@ -930,7 +938,8 @@
       "cell_type": "code",
       "execution_count": null,
       "metadata": {
-        "id": "BzJfb5t0nsLq"
+        "id": "BzJfb5t0nsLq",
+        "outputId": "7423d874-9334-4b76-ab48-cd991344867e"
       },
       "outputs": [
         {
@@ -1137,7 +1146,8 @@
       "cell_type": "code",
       "execution_count": null,
       "metadata": {
-        "id": "GCXYnIdm4ILQ"
+        "id": "GCXYnIdm4ILQ",
+        "outputId": "39370b62-cc33-4932-cf21-a046cf815a2a"
       },
       "outputs": [
         {
@@ -1211,7 +1221,8 @@
       "cell_type": "code",
       "execution_count": null,
       "metadata": {
-        "id": "067wj_6bZAG3"
+        "id": "067wj_6bZAG3",
+        "outputId": "f4f71a08-a45f-4cfc-d4d3-ecb1e17bd2b8"
       },
       "outputs": [
         {
@@ -1777,7 +1788,8 @@
       "cell_type": "code",
       "execution_count": null,
       "metadata": {
-        "id": "hgUhEKjzPdMQ"
+        "id": "hgUhEKjzPdMQ",
+        "outputId": "7702aa77-ef8d-4dba-9a16-2f7f3fc57ffd"
       },
       "outputs": [
         {
@@ -1951,7 +1963,8 @@
       "cell_type": "code",
       "execution_count": null,
       "metadata": {
-        "id": "d62AueMC7Yp3"
+        "id": "d62AueMC7Yp3",
+        "outputId": "d322231c-e522-4cb2-91ae-42097589b70f"
       },
       "outputs": [
         {
@@ -1988,7 +2001,8 @@
       "cell_type": "code",
       "execution_count": null,
       "metadata": {
-        "id": "lE7je-hL8Bj3"
+        "id": "lE7je-hL8Bj3",
+        "outputId": "9ac71238-9b21-4d06-ce7d-e27f2c5dc6bb"
       },
       "outputs": [
         {
@@ -2058,7 +2072,7 @@
       "source": [
         "## Conclusion\n",
         "\n",
-        "This notebook demonstrated the fine-tuning of Paligemma on a fashion dataset for object detection. While the complete dataset of 4.5k images could not be utilized due to resource constraints, a subset of 640 images was used, which resulted in measurable improvements in detecting clothing items. \n",
+        "This notebook demonstrated the fine-tuning of Paligemma on a fashion dataset for object detection. While the complete dataset of 4.5k images could not be utilized due to resource constraints, a subset of 640 images was used, which resulted in measurable improvements in detecting clothing items.\n",
         "\n",
         "Model was fine-tuned for 80 steps on T4 GPUs;\n",
         "Loss was reduced from 4.7220 to 2.5054.\n",
@@ -2086,8 +2100,8 @@
   "metadata": {
     "accelerator": "GPU",
     "colab": {
-      "name": "Finetune_PaliGemma_for_object_detection.ipynb",
-      "toc_visible": true
+      "toc_visible": true,
+      "provenance": []
     },
     "kernelspec": {
       "display_name": "Python 3",
@@ -2096,4 +2110,4 @@
   },
   "nbformat": 4,
   "nbformat_minor": 0
-}
+}