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Added "Open in Colab" button to each notebook in the colab dir. #41

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Added "Open in Colab" button to each notebook in the colab dir. #41

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48 changes: 26 additions & 22 deletions colabs/fine_tuning_tutorial.ipynb
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Expand Up @@ -31,6 +31,10 @@
"source": [
"# Fine-tuning the 2B Gemma model with flax\n",
"\n",
"<a target=\"_blank\" href=\"https://colab.research.google.com/github/google-deepmind/gemma/blob/main/colabs/fine_tuning_tutorial.ipynb\">\n",
" <img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/>\n",
"</a>\n",
"\n",
"In this tutorial you will learn how to fine-tune the 2B Gemma model for a simple translation task. To run this colab, you will need to use a TPU v4 runtime."
]
},
Expand All @@ -45,7 +49,7 @@
},
{
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"metadata": {
"id": "XpSw-_4EEcoY"
},
Expand Down Expand Up @@ -75,7 +79,7 @@
},
{
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"execution_count": 0,
"execution_count": null,
"metadata": {
"id": "8q5seOhcUBhx"
},
Expand All @@ -102,7 +106,7 @@
},
{
"cell_type": "code",
"execution_count": 0,
"execution_count": null,
"metadata": {
"id": "9PEefz8wEcoY"
},
Expand All @@ -119,7 +123,7 @@
},
{
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"metadata": {
"id": "yWaP_LPoEcoY"
},
Expand Down Expand Up @@ -167,7 +171,7 @@
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"id": "pg8SfQH0EcoY"
Expand Down Expand Up @@ -208,7 +212,7 @@
},
{
"cell_type": "code",
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"id": "TpyG5YW1EcoY"
Expand Down Expand Up @@ -236,7 +240,7 @@
},
{
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"execution_count": null,
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"cellView": "form",
"id": "L9cjK0uxEcoY"
Expand Down Expand Up @@ -308,7 +312,7 @@
},
{
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"cellView": "form",
"id": "xEA-97ioEcoY"
Expand Down Expand Up @@ -351,7 +355,7 @@
},
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"id": "XwFFs2mDEcoY"
Expand Down Expand Up @@ -495,7 +499,7 @@
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"id": "bYeduOaNEcoZ"
Expand Down Expand Up @@ -529,7 +533,7 @@
},
{
"cell_type": "code",
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"execution_count": null,
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"id": "VDlfziQVEcoZ"
Expand Down Expand Up @@ -563,7 +567,7 @@
},
{
"cell_type": "code",
"execution_count": 0,
"execution_count": null,
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"cellView": "form",
"id": "jWr6Sea_EcoZ"
Expand All @@ -579,7 +583,7 @@
},
{
"cell_type": "code",
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"id": "S6937NTjEcoZ"
Expand All @@ -606,7 +610,7 @@
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{
"cell_type": "code",
"execution_count": 0,
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"id": "LbJa4S5WEcoZ"
Expand Down Expand Up @@ -637,7 +641,7 @@
},
{
"cell_type": "code",
"execution_count": 0,
"execution_count": null,
"metadata": {
"cellView": "form",
"id": "iEcV0XEEEcoZ"
Expand Down Expand Up @@ -707,7 +711,7 @@
},
{
"cell_type": "code",
"execution_count": 0,
"execution_count": null,
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"cellView": "form",
"id": "cbWfdHf0EcoZ"
Expand Down Expand Up @@ -735,7 +739,7 @@
},
{
"cell_type": "code",
"execution_count": 0,
"execution_count": null,
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"cellView": "form",
"id": "cPSfp7ZUEcoZ"
Expand Down Expand Up @@ -790,7 +794,7 @@
},
{
"cell_type": "code",
"execution_count": 0,
"execution_count": null,
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"id": "yU4oR92YEcoa"
Expand Down Expand Up @@ -823,7 +827,7 @@
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{
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"id": "xT4bAqNLEcoa"
Expand Down Expand Up @@ -921,7 +925,7 @@
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{
"cell_type": "code",
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"id": "7SL2VAmVEcoa"
Expand Down Expand Up @@ -955,7 +959,7 @@
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{
"cell_type": "code",
"execution_count": 0,
"execution_count": null,
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"cellView": "form",
"id": "dQ1oCF10Ecod"
Expand All @@ -980,7 +984,7 @@
},
{
"cell_type": "code",
"execution_count": 0,
"execution_count": null,
"metadata": {
"cellView": "form",
"id": "S5F3fk22Ecod"
Expand Down
29 changes: 18 additions & 11 deletions colabs/gsm8k_eval.ipynb
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Expand Up @@ -25,6 +25,10 @@
"source": [
"# GSM8K evaluation using Gemma\n",
"\n",
"<a target=\"_blank\" href=\"https://colab.research.google.com/github/google-deepmind/gemma/blob/main/colabs/gsm8k_eval.ipynb\">\n",
" <img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/>\n",
"</a>\n",
"\n",
"The [GSM8K dataset](https://arxiv.org/pdf/2110.14168.pdf) presents a good evaluation challenge for small models for several reasons:\n",
"\n",
"1. **Conceptual Simplicity:** While the problems in GSM8K require multi-step reasoning, they primarily involve elementary mathematical concepts and basic arithmetic operations. This makes the dataset accessible to smaller models that may not have the capacity to handle complex mathematical reasoning.\n",
Expand All @@ -51,7 +55,7 @@
},
{
"cell_type": "code",
"execution_count": 0,
"execution_count": null,
"metadata": {
"id": "pIF7Tr8yEXiq"
},
Expand Down Expand Up @@ -80,7 +84,7 @@
},
{
"cell_type": "code",
"execution_count": 0,
"execution_count": null,
"metadata": {
"id": "qai-J2Dgaac0"
},
Expand All @@ -107,7 +111,7 @@
},
{
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"metadata": {
"id": "-uHzK733EXiq"
},
Expand All @@ -124,7 +128,7 @@
},
{
"cell_type": "code",
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},
Expand All @@ -151,7 +155,7 @@
},
{
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"metadata": {
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"id": "E47hYa8dEXiq"
Expand All @@ -164,7 +168,7 @@
},
{
"cell_type": "code",
"execution_count": 0,
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"id": "ReheKSODEXiq"
Expand Down Expand Up @@ -209,7 +213,7 @@
},
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"id": "cXoCKMi9EXir"
Expand Down Expand Up @@ -331,7 +335,7 @@
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"id": "7s15QMbbEXir"
Expand All @@ -353,7 +357,7 @@
},
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"id": "_n0KePI2EXir"
Expand All @@ -375,7 +379,7 @@
},
{
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Expand Down Expand Up @@ -407,7 +411,7 @@
},
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Expand Down Expand Up @@ -463,6 +467,9 @@
"metadata": {
"colab": {
"private_outputs": true
},
"language_info": {
"name": "python"
}
},
"nbformat": 4,
Expand Down
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