Hugging Face's logo

Spaces:
frugal-ai-challenge
/
audio-cindydelage
Sleeping

App Files Community
CindyDelage commited on
Commit
5113b06
·
verified ·
1 Parent(s): fb4eea4

Upload template_audio.ipynb

Browse files
Files changed (1) hide show
  1. notebooks/template_audio.ipynb +1417 -0
notebooks/template_audio.ipynb ADDED
@@ -0,0 +1,1417 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "cells": [
3
+ {
4
+ "cell_type": "markdown",
5
+ "metadata": {
6
+ "id": "U0o6ydNXBF14"
7
+ },
8
+ "source": [
9
+ "# Text task notebook template\n",
10
+ "## Loading the necessary libraries"
11
+ ]
12
+ },
13
+ {
14
+ "cell_type": "code",
15
+ "execution_count": null,
16
+ "metadata": {
17
+ "colab": {
18
+ "base_uri": "https://localhost:8080/",
19
+ "height": 384
20
+ },
21
+ "collapsed": true,
22
+ "id": "EqgD_yfoBF18",
23
+ "outputId": "96e007c1-dbf7-457e-ca2e-8d9b56ac0f45"
24
+ },
25
+ "outputs": [
26
+ {
27
+ "output_type": "error",
28
+ "ename": "ModuleNotFoundError",
29
+ "evalue": "No module named 'fastapi'",
30
+ "traceback": [
31
+ "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
32
+ "\u001b[0;31mModuleNotFoundError\u001b[0m Traceback (most recent call last)",
33
+ "\u001b[0;32m<ipython-input-1-dd0a0c7fd244>\u001b[0m in \u001b[0;36m<cell line: 0>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0;32mfrom\u001b[0m \u001b[0mfastapi\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mAPIRouter\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 2\u001b[0m \u001b[0;32mfrom\u001b[0m \u001b[0mdatetime\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mdatetime\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 3\u001b[0m \u001b[0;32mfrom\u001b[0m \u001b[0mdatasets\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mload_dataset\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 4\u001b[0m \u001b[0;32mfrom\u001b[0m \u001b[0msklearn\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmetrics\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0maccuracy_score\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 5\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mrandom\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
34
+ "\u001b[0;31mModuleNotFoundError\u001b[0m: No module named 'fastapi'",
35
+ "",
36
+ "\u001b[0;31m---------------------------------------------------------------------------\u001b[0;32m\nNOTE: If your import is failing due to a missing package, you can\nmanually install dependencies using either !pip or !apt.\n\nTo view examples of installing some common dependencies, click the\n\"Open Examples\" button below.\n\u001b[0;31m---------------------------------------------------------------------------\u001b[0m\n"
37
+ ],
38
+ "errorDetails": {
39
+ "actions": [
40
+ {
41
+ "action": "open_url",
42
+ "actionText": "Open Examples",
43
+ "url": "/notebooks/snippets/importing_libraries.ipynb"
44
+ }
45
+ ]
46
+ }
47
+ }
48
+ ],
49
+ "source": [
50
+ "from fastapi import APIRouter\n",
51
+ "from datetime import datetime\n",
52
+ "from datasets import load_dataset\n",
53
+ "from sklearn.metrics import accuracy_score\n",
54
+ "import random\n",
55
+ "\n",
56
+ "import sys\n",
57
+ "sys.path.append('../tasks')\n",
58
+ "\n",
59
+ "from utils.evaluation import AudioEvaluationRequest\n",
60
+ "from utils.emissions import tracker, clean_emissions_data, get_space_info\n",
61
+ "\n",
62
+ "\n",
63
+ "# Define the label mapping\n",
64
+ "LABEL_MAPPING = {\n",
65
+ " \"chainsaw\": 0,\n",
66
+ " \"environment\": 1\n",
67
+ "}"
68
+ ]
69
+ },
70
+ {
71
+ "cell_type": "markdown",
72
+ "metadata": {
73
+ "id": "RB3_Wg3oBF2B"
74
+ },
75
+ "source": [
76
+ "## Loading the datasets and splitting them"
77
+ ]
78
+ },
79
+ {
80
+ "cell_type": "code",
81
+ "execution_count": null,
82
+ "metadata": {
83
+ "colab": {
84
+ "referenced_widgets": [
85
+ "668da7bf85434e098b95c3ec447d78fe",
86
+ "5b68d43359eb429395da8be7d4b15556",
87
+ "140a304773914e9db8f698eabeb40298",
88
+ "6d04e8ab1906400e8e0029949dc523a5"
89
+ ]
90
+ },
91
+ "id": "TA2feB2HBF2B",
92
+ "outputId": "a72743ae-c969-473a-c9be-8a76e1122b9d"
93
+ },
94
+ "outputs": [
95
+ {
96
+ "data": {
97
+ "application/vnd.jupyter.widget-view+json": {
98
+ "model_id": "668da7bf85434e098b95c3ec447d78fe",
99
+ "version_major": 2,
100
+ "version_minor": 0
101
+ },
102
+ "text/plain": [
103
+ "README.md: 0%| | 0.00/5.18k [00:00<?, ?B/s]"
104
+ ]
105
+ },
106
+ "metadata": {},
107
+ "output_type": "display_data"
108
+ },
109
+ {
110
+ "name": "stderr",
111
+ "output_type": "stream",
112
+ "text": [
113
+ "c:\\Users\\theo.alvesdacosta\\AppData\\Local\\anaconda3\\Lib\\site-packages\\huggingface_hub\\file_download.py:139: UserWarning: `huggingface_hub` cache-system uses symlinks by default to efficiently store duplicated files but your machine does not support them in C:\\Users\\theo.alvesdacosta\\.cache\\huggingface\\hub\\datasets--QuotaClimat--frugalaichallenge-text-train. Caching files will still work but in a degraded version that might require more space on your disk. This warning can be disabled by setting the `HF_HUB_DISABLE_SYMLINKS_WARNING` environment variable. For more details, see https://huggingface.co/docs/huggingface_hub/how-to-cache#limitations.\n",
114
+ "To support symlinks on Windows, you either need to activate Developer Mode or to run Python as an administrator. In order to activate developer mode, see this article: https://docs.microsoft.com/en-us/windows/apps/get-started/enable-your-device-for-development\n",
115
+ " warnings.warn(message)\n"
116
+ ]
117
+ },
118
+ {
119
+ "data": {
120
+ "application/vnd.jupyter.widget-view+json": {
121
+ "model_id": "5b68d43359eb429395da8be7d4b15556",
122
+ "version_major": 2,
123
+ "version_minor": 0
124
+ },
125
+ "text/plain": [
126
+ "train.parquet: 0%| | 0.00/1.21M [00:00<?, ?B/s]"
127
+ ]
128
+ },
129
+ "metadata": {},
130
+ "output_type": "display_data"
131
+ },
132
+ {
133
+ "data": {
134
+ "application/vnd.jupyter.widget-view+json": {
135
+ "model_id": "140a304773914e9db8f698eabeb40298",
136
+ "version_major": 2,
137
+ "version_minor": 0
138
+ },
139
+ "text/plain": [
140
+ "Generating train split: 0%| | 0/6091 [00:00<?, ? examples/s]"
141
+ ]
142
+ },
143
+ "metadata": {},
144
+ "output_type": "display_data"
145
+ },
146
+ {
147
+ "data": {
148
+ "application/vnd.jupyter.widget-view+json": {
149
+ "model_id": "6d04e8ab1906400e8e0029949dc523a5",
150
+ "version_major": 2,
151
+ "version_minor": 0
152
+ },
153
+ "text/plain": [
154
+ "Map: 0%| | 0/6091 [00:00<?, ? examples/s]"
155
+ ]
156
+ },
157
+ "metadata": {},
158
+ "output_type": "display_data"
159
+ }
160
+ ],
161
+ "source": [
162
+ "request = AudioEvaluationRequest()\n",
163
+ "\n",
164
+ "# Load and prepare the dataset\n",
165
+ "dataset = load_dataset(request.dataset_name)\n",
166
+ "\n",
167
+ "# Split dataset\n",
168
+ "train_test = dataset[\"train\"]\n",
169
+ "test_dataset = dataset[\"test\"]"
170
+ ]
171
+ },
172
+ {
173
+ "cell_type": "markdown",
174
+ "metadata": {
175
+ "id": "mGvNFfpBBF2C"
176
+ },
177
+ "source": [
178
+ "## Random Baseline"
179
+ ]
180
+ },
181
+ {
182
+ "cell_type": "code",
183
+ "execution_count": null,
184
+ "metadata": {
185
+ "id": "ogi8skzqBF2E"
186
+ },
187
+ "outputs": [],
188
+ "source": [
189
+ "# Start tracking emissions\n",
190
+ "tracker.start()\n",
191
+ "tracker.start_task(\"inference\")"
192
+ ]
193
+ },
194
+ {
195
+ "cell_type": "code",
196
+ "execution_count": null,
197
+ "metadata": {
198
+ "id": "_g9uaAC3BF2E",
199
+ "outputId": "c4331390-f24f-46af-d9d1-e41273ee1ca3"
200
+ },
201
+ "outputs": [
202
+ {
203
+ "data": {
204
+ "text/plain": [
205
+ "[1,\n",
206
+ " 7,\n",
207
+ " 6,\n",
208
+ " 6,\n",
209
+ " 2,\n",
210
+ " 0,\n",
211
+ " 1,\n",
212
+ " 7,\n",
213
+ " 3,\n",
214
+ " 6,\n",
215
+ " 6,\n",
216
+ " 3,\n",
217
+ " 6,\n",
218
+ " 6,\n",
219
+ " 5,\n",
220
+ " 0,\n",
221
+ " 2,\n",
222
+ " 6,\n",
223
+ " 2,\n",
224
+ " 6,\n",
225
+ " 5,\n",
226
+ " 4,\n",
227
+ " 1,\n",
228
+ " 3,\n",
229
+ " 6,\n",
230
+ " 4,\n",
231
+ " 2,\n",
232
+ " 1,\n",
233
+ " 4,\n",
234
+ " 0,\n",
235
+ " 3,\n",
236
+ " 4,\n",
237
+ " 1,\n",
238
+ " 5,\n",
239
+ " 5,\n",
240
+ " 1,\n",
241
+ " 2,\n",
242
+ " 7,\n",
243
+ " 6,\n",
244
+ " 1,\n",
245
+ " 3,\n",
246
+ " 1,\n",
247
+ " 7,\n",
248
+ " 7,\n",
249
+ " 0,\n",
250
+ " 0,\n",
251
+ " 3,\n",
252
+ " 3,\n",
253
+ " 3,\n",
254
+ " 4,\n",
255
+ " 1,\n",
256
+ " 4,\n",
257
+ " 4,\n",
258
+ " 1,\n",
259
+ " 4,\n",
260
+ " 5,\n",
261
+ " 6,\n",
262
+ " 1,\n",
263
+ " 2,\n",
264
+ " 2,\n",
265
+ " 2,\n",
266
+ " 5,\n",
267
+ " 2,\n",
268
+ " 7,\n",
269
+ " 2,\n",
270
+ " 7,\n",
271
+ " 7,\n",
272
+ " 6,\n",
273
+ " 4,\n",
274
+ " 2,\n",
275
+ " 0,\n",
276
+ " 1,\n",
277
+ " 6,\n",
278
+ " 3,\n",
279
+ " 2,\n",
280
+ " 5,\n",
281
+ " 5,\n",
282
+ " 2,\n",
283
+ " 0,\n",
284
+ " 7,\n",
285
+ " 0,\n",
286
+ " 1,\n",
287
+ " 5,\n",
288
+ " 5,\n",
289
+ " 7,\n",
290
+ " 4,\n",
291
+ " 6,\n",
292
+ " 7,\n",
293
+ " 1,\n",
294
+ " 7,\n",
295
+ " 1,\n",
296
+ " 0,\n",
297
+ " 3,\n",
298
+ " 4,\n",
299
+ " 2,\n",
300
+ " 5,\n",
301
+ " 3,\n",
302
+ " 3,\n",
303
+ " 3,\n",
304
+ " 2,\n",
305
+ " 2,\n",
306
+ " 1,\n",
307
+ " 0,\n",
308
+ " 4,\n",
309
+ " 5,\n",
310
+ " 7,\n",
311
+ " 0,\n",
312
+ " 3,\n",
313
+ " 1,\n",
314
+ " 4,\n",
315
+ " 6,\n",
316
+ " 0,\n",
317
+ " 7,\n",
318
+ " 1,\n",
319
+ " 1,\n",
320
+ " 2,\n",
321
+ " 2,\n",
322
+ " 4,\n",
323
+ " 0,\n",
324
+ " 4,\n",
325
+ " 3,\n",
326
+ " 4,\n",
327
+ " 4,\n",
328
+ " 2,\n",
329
+ " 2,\n",
330
+ " 3,\n",
331
+ " 3,\n",
332
+ " 7,\n",
333
+ " 4,\n",
334
+ " 7,\n",
335
+ " 6,\n",
336
+ " 4,\n",
337
+ " 5,\n",
338
+ " 4,\n",
339
+ " 3,\n",
340
+ " 6,\n",
341
+ " 0,\n",
342
+ " 4,\n",
343
+ " 0,\n",
344
+ " 1,\n",
345
+ " 3,\n",
346
+ " 6,\n",
347
+ " 7,\n",
348
+ " 3,\n",
349
+ " 3,\n",
350
+ " 0,\n",
351
+ " 1,\n",
352
+ " 2,\n",
353
+ " 4,\n",
354
+ " 4,\n",
355
+ " 3,\n",
356
+ " 1,\n",
357
+ " 2,\n",
358
+ " 4,\n",
359
+ " 3,\n",
360
+ " 0,\n",
361
+ " 5,\n",
362
+ " 3,\n",
363
+ " 6,\n",
364
+ " 3,\n",
365
+ " 6,\n",
366
+ " 1,\n",
367
+ " 3,\n",
368
+ " 4,\n",
369
+ " 5,\n",
370
+ " 4,\n",
371
+ " 0,\n",
372
+ " 7,\n",
373
+ " 3,\n",
374
+ " 6,\n",
375
+ " 7,\n",
376
+ " 4,\n",
377
+ " 4,\n",
378
+ " 5,\n",
379
+ " 3,\n",
380
+ " 1,\n",
381
+ " 7,\n",
382
+ " 4,\n",
383
+ " 1,\n",
384
+ " 0,\n",
385
+ " 3,\n",
386
+ " 0,\n",
387
+ " 5,\n",
388
+ " 3,\n",
389
+ " 6,\n",
390
+ " 3,\n",
391
+ " 0,\n",
392
+ " 7,\n",
393
+ " 2,\n",
394
+ " 0,\n",
395
+ " 4,\n",
396
+ " 1,\n",
397
+ " 2,\n",
398
+ " 6,\n",
399
+ " 3,\n",
400
+ " 4,\n",
401
+ " 4,\n",
402
+ " 5,\n",
403
+ " 1,\n",
404
+ " 5,\n",
405
+ " 4,\n",
406
+ " 0,\n",
407
+ " 1,\n",
408
+ " 7,\n",
409
+ " 3,\n",
410
+ " 6,\n",
411
+ " 0,\n",
412
+ " 7,\n",
413
+ " 4,\n",
414
+ " 6,\n",
415
+ " 3,\n",
416
+ " 0,\n",
417
+ " 0,\n",
418
+ " 4,\n",
419
+ " 6,\n",
420
+ " 6,\n",
421
+ " 4,\n",
422
+ " 0,\n",
423
+ " 5,\n",
424
+ " 7,\n",
425
+ " 5,\n",
426
+ " 1,\n",
427
+ " 3,\n",
428
+ " 6,\n",
429
+ " 2,\n",
430
+ " 3,\n",
431
+ " 2,\n",
432
+ " 4,\n",
433
+ " 5,\n",
434
+ " 1,\n",
435
+ " 5,\n",
436
+ " 0,\n",
437
+ " 3,\n",
438
+ " 3,\n",
439
+ " 0,\n",
440
+ " 0,\n",
441
+ " 6,\n",
442
+ " 6,\n",
443
+ " 2,\n",
444
+ " 0,\n",
445
+ " 7,\n",
446
+ " 4,\n",
447
+ " 5,\n",
448
+ " 7,\n",
449
+ " 1,\n",
450
+ " 0,\n",
451
+ " 4,\n",
452
+ " 5,\n",
453
+ " 1,\n",
454
+ " 7,\n",
455
+ " 0,\n",
456
+ " 7,\n",
457
+ " 2,\n",
458
+ " 6,\n",
459
+ " 1,\n",
460
+ " 3,\n",
461
+ " 5,\n",
462
+ " 5,\n",
463
+ " 6,\n",
464
+ " 5,\n",
465
+ " 4,\n",
466
+ " 3,\n",
467
+ " 7,\n",
468
+ " 4,\n",
469
+ " 3,\n",
470
+ " 5,\n",
471
+ " 5,\n",
472
+ " 7,\n",
473
+ " 2,\n",
474
+ " 6,\n",
475
+ " 1,\n",
476
+ " 5,\n",
477
+ " 0,\n",
478
+ " 3,\n",
479
+ " 4,\n",
480
+ " 2,\n",
481
+ " 3,\n",
482
+ " 7,\n",
483
+ " 0,\n",
484
+ " 1,\n",
485
+ " 7,\n",
486
+ " 6,\n",
487
+ " 7,\n",
488
+ " 7,\n",
489
+ " 5,\n",
490
+ " 6,\n",
491
+ " 3,\n",
492
+ " 2,\n",
493
+ " 3,\n",
494
+ " 0,\n",
495
+ " 4,\n",
496
+ " 3,\n",
497
+ " 5,\n",
498
+ " 6,\n",
499
+ " 0,\n",
500
+ " 0,\n",
501
+ " 6,\n",
502
+ " 6,\n",
503
+ " 1,\n",
504
+ " 4,\n",
505
+ " 0,\n",
506
+ " 4,\n",
507
+ " 2,\n",
508
+ " 7,\n",
509
+ " 5,\n",
510
+ " 7,\n",
511
+ " 6,\n",
512
+ " 3,\n",
513
+ " 5,\n",
514
+ " 6,\n",
515
+ " 0,\n",
516
+ " 4,\n",
517
+ " 5,\n",
518
+ " 6,\n",
519
+ " 1,\n",
520
+ " 2,\n",
521
+ " 1,\n",
522
+ " 5,\n",
523
+ " 3,\n",
524
+ " 0,\n",
525
+ " 3,\n",
526
+ " 7,\n",
527
+ " 1,\n",
528
+ " 0,\n",
529
+ " 7,\n",
530
+ " 0,\n",
531
+ " 1,\n",
532
+ " 0,\n",
533
+ " 4,\n",
534
+ " 1,\n",
535
+ " 1,\n",
536
+ " 0,\n",
537
+ " 7,\n",
538
+ " 1,\n",
539
+ " 0,\n",
540
+ " 7,\n",
541
+ " 6,\n",
542
+ " 2,\n",
543
+ " 3,\n",
544
+ " 7,\n",
545
+ " 4,\n",
546
+ " 3,\n",
547
+ " 4,\n",
548
+ " 3,\n",
549
+ " 3,\n",
550
+ " 2,\n",
551
+ " 5,\n",
552
+ " 1,\n",
553
+ " 5,\n",
554
+ " 1,\n",
555
+ " 7,\n",
556
+ " 3,\n",
557
+ " 2,\n",
558
+ " 6,\n",
559
+ " 4,\n",
560
+ " 4,\n",
561
+ " 1,\n",
562
+ " 2,\n",
563
+ " 6,\n",
564
+ " 7,\n",
565
+ " 2,\n",
566
+ " 7,\n",
567
+ " 1,\n",
568
+ " 3,\n",
569
+ " 5,\n",
570
+ " 2,\n",
571
+ " 6,\n",
572
+ " 4,\n",
573
+ " 6,\n",
574
+ " 7,\n",
575
+ " 0,\n",
576
+ " 5,\n",
577
+ " 1,\n",
578
+ " 6,\n",
579
+ " 5,\n",
580
+ " 3,\n",
581
+ " 6,\n",
582
+ " 5,\n",
583
+ " 4,\n",
584
+ " 7,\n",
585
+ " 6,\n",
586
+ " 5,\n",
587
+ " 4,\n",
588
+ " 3,\n",
589
+ " 0,\n",
590
+ " 0,\n",
591
+ " 1,\n",
592
+ " 7,\n",
593
+ " 7,\n",
594
+ " 6,\n",
595
+ " 1,\n",
596
+ " 4,\n",
597
+ " 5,\n",
598
+ " 6,\n",
599
+ " 1,\n",
600
+ " 5,\n",
601
+ " 1,\n",
602
+ " 2,\n",
603
+ " 6,\n",
604
+ " 2,\n",
605
+ " 6,\n",
606
+ " 0,\n",
607
+ " 2,\n",
608
+ " 1,\n",
609
+ " 5,\n",
610
+ " 5,\n",
611
+ " 1,\n",
612
+ " 7,\n",
613
+ " 0,\n",
614
+ " 5,\n",
615
+ " 5,\n",
616
+ " 1,\n",
617
+ " 7,\n",
618
+ " 7,\n",
619
+ " 2,\n",
620
+ " 1,\n",
621
+ " 0,\n",
622
+ " 1,\n",
623
+ " 0,\n",
624
+ " 5,\n",
625
+ " 4,\n",
626
+ " 2,\n",
627
+ " 7,\n",
628
+ " 4,\n",
629
+ " 3,\n",
630
+ " 6,\n",
631
+ " 7,\n",
632
+ " 5,\n",
633
+ " 1,\n",
634
+ " 0,\n",
635
+ " 7,\n",
636
+ " 2,\n",
637
+ " 1,\n",
638
+ " 2,\n",
639
+ " 3,\n",
640
+ " 1,\n",
641
+ " 0,\n",
642
+ " 3,\n",
643
+ " 2,\n",
644
+ " 6,\n",
645
+ " 0,\n",
646
+ " 5,\n",
647
+ " 4,\n",
648
+ " 7,\n",
649
+ " 1,\n",
650
+ " 1,\n",
651
+ " 0,\n",
652
+ " 7,\n",
653
+ " 0,\n",
654
+ " 6,\n",
655
+ " 7,\n",
656
+ " 6,\n",
657
+ " 1,\n",
658
+ " 5,\n",
659
+ " 5,\n",
660
+ " 7,\n",
661
+ " 6,\n",
662
+ " 1,\n",
663
+ " 7,\n",
664
+ " 6,\n",
665
+ " 5,\n",
666
+ " 4,\n",
667
+ " 1,\n",
668
+ " 4,\n",
669
+ " 7,\n",
670
+ " 5,\n",
671
+ " 4,\n",
672
+ " 0,\n",
673
+ " 0,\n",
674
+ " 7,\n",
675
+ " 0,\n",
676
+ " 0,\n",
677
+ " 3,\n",
678
+ " 6,\n",
679
+ " 2,\n",
680
+ " 5,\n",
681
+ " 3,\n",
682
+ " 0,\n",
683
+ " 3,\n",
684
+ " 6,\n",
685
+ " 5,\n",
686
+ " 7,\n",
687
+ " 2,\n",
688
+ " 6,\n",
689
+ " 7,\n",
690
+ " 5,\n",
691
+ " 2,\n",
692
+ " 3,\n",
693
+ " 6,\n",
694
+ " 7,\n",
695
+ " 7,\n",
696
+ " 7,\n",
697
+ " 6,\n",
698
+ " 1,\n",
699
+ " 7,\n",
700
+ " 4,\n",
701
+ " 2,\n",
702
+ " 7,\n",
703
+ " 5,\n",
704
+ " 4,\n",
705
+ " 1,\n",
706
+ " 2,\n",
707
+ " 3,\n",
708
+ " 7,\n",
709
+ " 0,\n",
710
+ " 2,\n",
711
+ " 7,\n",
712
+ " 6,\n",
713
+ " 1,\n",
714
+ " 4,\n",
715
+ " 0,\n",
716
+ " 6,\n",
717
+ " 3,\n",
718
+ " 1,\n",
719
+ " 0,\n",
720
+ " 3,\n",
721
+ " 4,\n",
722
+ " 7,\n",
723
+ " 7,\n",
724
+ " 4,\n",
725
+ " 2,\n",
726
+ " 1,\n",
727
+ " 0,\n",
728
+ " 5,\n",
729
+ " 1,\n",
730
+ " 7,\n",
731
+ " 4,\n",
732
+ " 6,\n",
733
+ " 7,\n",
734
+ " 7,\n",
735
+ " 3,\n",
736
+ " 4,\n",
737
+ " 3,\n",
738
+ " 5,\n",
739
+ " 4,\n",
740
+ " 4,\n",
741
+ " 5,\n",
742
+ " 0,\n",
743
+ " 1,\n",
744
+ " 3,\n",
745
+ " 7,\n",
746
+ " 5,\n",
747
+ " 4,\n",
748
+ " 7,\n",
749
+ " 3,\n",
750
+ " 3,\n",
751
+ " 3,\n",
752
+ " 5,\n",
753
+ " 3,\n",
754
+ " 3,\n",
755
+ " 4,\n",
756
+ " 0,\n",
757
+ " 1,\n",
758
+ " 7,\n",
759
+ " 4,\n",
760
+ " 7,\n",
761
+ " 7,\n",
762
+ " 5,\n",
763
+ " 0,\n",
764
+ " 0,\n",
765
+ " 5,\n",
766
+ " 2,\n",
767
+ " 6,\n",
768
+ " 2,\n",
769
+ " 6,\n",
770
+ " 7,\n",
771
+ " 6,\n",
772
+ " 5,\n",
773
+ " 7,\n",
774
+ " 5,\n",
775
+ " 7,\n",
776
+ " 1,\n",
777
+ " 6,\n",
778
+ " 6,\n",
779
+ " 0,\n",
780
+ " 4,\n",
781
+ " 7,\n",
782
+ " 3,\n",
783
+ " 0,\n",
784
+ " 0,\n",
785
+ " 2,\n",
786
+ " 5,\n",
787
+ " 2,\n",
788
+ " 3,\n",
789
+ " 7,\n",
790
+ " 1,\n",
791
+ " 0,\n",
792
+ " 3,\n",
793
+ " 0,\n",
794
+ " 0,\n",
795
+ " 3,\n",
796
+ " 3,\n",
797
+ " 7,\n",
798
+ " 3,\n",
799
+ " 0,\n",
800
+ " 1,\n",
801
+ " 1,\n",
802
+ " 6,\n",
803
+ " 0,\n",
804
+ " 0,\n",
805
+ " 5,\n",
806
+ " 0,\n",
807
+ " 3,\n",
808
+ " 4,\n",
809
+ " 6,\n",
810
+ " 7,\n",
811
+ " 4,\n",
812
+ " 0,\n",
813
+ " 4,\n",
814
+ " 4,\n",
815
+ " 5,\n",
816
+ " 4,\n",
817
+ " 4,\n",
818
+ " 3,\n",
819
+ " 6,\n",
820
+ " 5,\n",
821
+ " 2,\n",
822
+ " 0,\n",
823
+ " 6,\n",
824
+ " 0,\n",
825
+ " 6,\n",
826
+ " 4,\n",
827
+ " 3,\n",
828
+ " 5,\n",
829
+ " 7,\n",
830
+ " 7,\n",
831
+ " 5,\n",
832
+ " 5,\n",
833
+ " 1,\n",
834
+ " 5,\n",
835
+ " 2,\n",
836
+ " 7,\n",
837
+ " 7,\n",
838
+ " 6,\n",
839
+ " 6,\n",
840
+ " 7,\n",
841
+ " 6,\n",
842
+ " 5,\n",
843
+ " 2,\n",
844
+ " 4,\n",
845
+ " 0,\n",
846
+ " 4,\n",
847
+ " 4,\n",
848
+ " 7,\n",
849
+ " 5,\n",
850
+ " 2,\n",
851
+ " 7,\n",
852
+ " 0,\n",
853
+ " 6,\n",
854
+ " 0,\n",
855
+ " 2,\n",
856
+ " 6,\n",
857
+ " 6,\n",
858
+ " 2,\n",
859
+ " 3,\n",
860
+ " 0,\n",
861
+ " 5,\n",
862
+ " 0,\n",
863
+ " 5,\n",
864
+ " 7,\n",
865
+ " 2,\n",
866
+ " 7,\n",
867
+ " 4,\n",
868
+ " 7,\n",
869
+ " 4,\n",
870
+ " 0,\n",
871
+ " 7,\n",
872
+ " 1,\n",
873
+ " 4,\n",
874
+ " 5,\n",
875
+ " 0,\n",
876
+ " 5,\n",
877
+ " 5,\n",
878
+ " 2,\n",
879
+ " 0,\n",
880
+ " 2,\n",
881
+ " 5,\n",
882
+ " 5,\n",
883
+ " 6,\n",
884
+ " 3,\n",
885
+ " 4,\n",
886
+ " 1,\n",
887
+ " 7,\n",
888
+ " 7,\n",
889
+ " 2,\n",
890
+ " 3,\n",
891
+ " 2,\n",
892
+ " 5,\n",
893
+ " 0,\n",
894
+ " 7,\n",
895
+ " 2,\n",
896
+ " 3,\n",
897
+ " 7,\n",
898
+ " 2,\n",
899
+ " 4,\n",
900
+ " 0,\n",
901
+ " 5,\n",
902
+ " 7,\n",
903
+ " 3,\n",
904
+ " 6,\n",
905
+ " 7,\n",
906
+ " 6,\n",
907
+ " 4,\n",
908
+ " 3,\n",
909
+ " 6,\n",
910
+ " 5,\n",
911
+ " 4,\n",
912
+ " 0,\n",
913
+ " 3,\n",
914
+ " 4,\n",
915
+ " 3,\n",
916
+ " 5,\n",
917
+ " 2,\n",
918
+ " 4,\n",
919
+ " 0,\n",
920
+ " 3,\n",
921
+ " 6,\n",
922
+ " 1,\n",
923
+ " 3,\n",
924
+ " 1,\n",
925
+ " 4,\n",
926
+ " 3,\n",
927
+ " 3,\n",
928
+ " 3,\n",
929
+ " 0,\n",
930
+ " 7,\n",
931
+ " 6,\n",
932
+ " 2,\n",
933
+ " 4,\n",
934
+ " 6,\n",
935
+ " 5,\n",
936
+ " 4,\n",
937
+ " 1,\n",
938
+ " 7,\n",
939
+ " 6,\n",
940
+ " 1,\n",
941
+ " 4,\n",
942
+ " 3,\n",
943
+ " 0,\n",
944
+ " 7,\n",
945
+ " 3,\n",
946
+ " 1,\n",
947
+ " 2,\n",
948
+ " 1,\n",
949
+ " 6,\n",
950
+ " 4,\n",
951
+ " 7,\n",
952
+ " 1,\n",
953
+ " 7,\n",
954
+ " 1,\n",
955
+ " 5,\n",
956
+ " 1,\n",
957
+ " 6,\n",
958
+ " 3,\n",
959
+ " 0,\n",
960
+ " 2,\n",
961
+ " 6,\n",
962
+ " 7,\n",
963
+ " 7,\n",
964
+ " 0,\n",
965
+ " 1,\n",
966
+ " 4,\n",
967
+ " 0,\n",
968
+ " 4,\n",
969
+ " 5,\n",
970
+ " 3,\n",
971
+ " 6,\n",
972
+ " 2,\n",
973
+ " 3,\n",
974
+ " 4,\n",
975
+ " 1,\n",
976
+ " 6,\n",
977
+ " 2,\n",
978
+ " 4,\n",
979
+ " 4,\n",
980
+ " 6,\n",
981
+ " 4,\n",
982
+ " 5,\n",
983
+ " 7,\n",
984
+ " 1,\n",
985
+ " 7,\n",
986
+ " 7,\n",
987
+ " 4,\n",
988
+ " 7,\n",
989
+ " 4,\n",
990
+ " 3,\n",
991
+ " 3,\n",
992
+ " 6,\n",
993
+ " 1,\n",
994
+ " 2,\n",
995
+ " 0,\n",
996
+ " 0,\n",
997
+ " 0,\n",
998
+ " 2,\n",
999
+ " 5,\n",
1000
+ " 6,\n",
1001
+ " 5,\n",
1002
+ " 7,\n",
1003
+ " 5,\n",
1004
+ " 7,\n",
1005
+ " 1,\n",
1006
+ " 1,\n",
1007
+ " 2,\n",
1008
+ " 1,\n",
1009
+ " 6,\n",
1010
+ " 5,\n",
1011
+ " 7,\n",
1012
+ " 0,\n",
1013
+ " 0,\n",
1014
+ " 5,\n",
1015
+ " 5,\n",
1016
+ " 0,\n",
1017
+ " 3,\n",
1018
+ " 7,\n",
1019
+ " 5,\n",
1020
+ " 2,\n",
1021
+ " 5,\n",
1022
+ " 4,\n",
1023
+ " 2,\n",
1024
+ " 3,\n",
1025
+ " 6,\n",
1026
+ " 2,\n",
1027
+ " 3,\n",
1028
+ " 6,\n",
1029
+ " 0,\n",
1030
+ " 0,\n",
1031
+ " 2,\n",
1032
+ " 6,\n",
1033
+ " 0,\n",
1034
+ " 1,\n",
1035
+ " 3,\n",
1036
+ " 3,\n",
1037
+ " 6,\n",
1038
+ " 4,\n",
1039
+ " 6,\n",
1040
+ " 4,\n",
1041
+ " 6,\n",
1042
+ " 0,\n",
1043
+ " 0,\n",
1044
+ " 2,\n",
1045
+ " 3,\n",
1046
+ " 6,\n",
1047
+ " 2,\n",
1048
+ " 2,\n",
1049
+ " 6,\n",
1050
+ " 6,\n",
1051
+ " 2,\n",
1052
+ " 4,\n",
1053
+ " 3,\n",
1054
+ " 3,\n",
1055
+ " 6,\n",
1056
+ " 7,\n",
1057
+ " 7,\n",
1058
+ " 1,\n",
1059
+ " 1,\n",
1060
+ " 7,\n",
1061
+ " 7,\n",
1062
+ " 6,\n",
1063
+ " 1,\n",
1064
+ " 7,\n",
1065
+ " 0,\n",
1066
+ " 0,\n",
1067
+ " 2,\n",
1068
+ " 4,\n",
1069
+ " 2,\n",
1070
+ " 2,\n",
1071
+ " 3,\n",
1072
+ " 0,\n",
1073
+ " 1,\n",
1074
+ " 4,\n",
1075
+ " 0,\n",
1076
+ " 4,\n",
1077
+ " 6,\n",
1078
+ " 5,\n",
1079
+ " 3,\n",
1080
+ " 2,\n",
1081
+ " 3,\n",
1082
+ " 2,\n",
1083
+ " 3,\n",
1084
+ " 6,\n",
1085
+ " 2,\n",
1086
+ " 1,\n",
1087
+ " 4,\n",
1088
+ " 7,\n",
1089
+ " 6,\n",
1090
+ " 4,\n",
1091
+ " 5,\n",
1092
+ " 6,\n",
1093
+ " 7,\n",
1094
+ " 7,\n",
1095
+ " 2,\n",
1096
+ " 0,\n",
1097
+ " 5,\n",
1098
+ " 5,\n",
1099
+ " 0,\n",
1100
+ " 3,\n",
1101
+ " 6,\n",
1102
+ " 6,\n",
1103
+ " 5,\n",
1104
+ " 4,\n",
1105
+ " 4,\n",
1106
+ " 7,\n",
1107
+ " 0,\n",
1108
+ " 5,\n",
1109
+ " 1,\n",
1110
+ " 7,\n",
1111
+ " 0,\n",
1112
+ " 3,\n",
1113
+ " 1,\n",
1114
+ " 7,\n",
1115
+ " 0,\n",
1116
+ " 1,\n",
1117
+ " 4,\n",
1118
+ " 7,\n",
1119
+ " 5,\n",
1120
+ " 0,\n",
1121
+ " 4,\n",
1122
+ " 0,\n",
1123
+ " 0,\n",
1124
+ " 1,\n",
1125
+ " 0,\n",
1126
+ " 6,\n",
1127
+ " 4,\n",
1128
+ " 0,\n",
1129
+ " 5,\n",
1130
+ " 4,\n",
1131
+ " 6,\n",
1132
+ " 6,\n",
1133
+ " 7,\n",
1134
+ " 2,\n",
1135
+ " 6,\n",
1136
+ " 2,\n",
1137
+ " 6,\n",
1138
+ " 0,\n",
1139
+ " 3,\n",
1140
+ " 2,\n",
1141
+ " 2,\n",
1142
+ " 1,\n",
1143
+ " 5,\n",
1144
+ " 4,\n",
1145
+ " 7,\n",
1146
+ " 6,\n",
1147
+ " 6,\n",
1148
+ " 2,\n",
1149
+ " 5,\n",
1150
+ " 5,\n",
1151
+ " 5,\n",
1152
+ " 0,\n",
1153
+ " 3,\n",
1154
+ " 5,\n",
1155
+ " 4,\n",
1156
+ " 5,\n",
1157
+ " 7,\n",
1158
+ " 5,\n",
1159
+ " 0,\n",
1160
+ " 5,\n",
1161
+ " 0,\n",
1162
+ " 0,\n",
1163
+ " 2,\n",
1164
+ " 0,\n",
1165
+ " 2,\n",
1166
+ " 1,\n",
1167
+ " 0,\n",
1168
+ " 2,\n",
1169
+ " 4,\n",
1170
+ " 3,\n",
1171
+ " 4,\n",
1172
+ " 1,\n",
1173
+ " 7,\n",
1174
+ " 2,\n",
1175
+ " 1,\n",
1176
+ " 0,\n",
1177
+ " 3,\n",
1178
+ " 0,\n",
1179
+ " 3,\n",
1180
+ " 1,\n",
1181
+ " 1,\n",
1182
+ " 0,\n",
1183
+ " 5,\n",
1184
+ " 3,\n",
1185
+ " 1,\n",
1186
+ " 2,\n",
1187
+ " 5,\n",
1188
+ " 6,\n",
1189
+ " 7,\n",
1190
+ " 6,\n",
1191
+ " 7,\n",
1192
+ " 0,\n",
1193
+ " 2,\n",
1194
+ " 6,\n",
1195
+ " 3,\n",
1196
+ " 1,\n",
1197
+ " 5,\n",
1198
+ " 4,\n",
1199
+ " 2,\n",
1200
+ " 4,\n",
1201
+ " 6,\n",
1202
+ " 5,\n",
1203
+ " 2,\n",
1204
+ " 7,\n",
1205
+ " ...]"
1206
+ ]
1207
+ },
1208
+ "execution_count": 6,
1209
+ "metadata": {},
1210
+ "output_type": "execute_result"
1211
+ }
1212
+ ],
1213
+ "source": [
1214
+ "\n",
1215
+ "#--------------------------------------------------------------------------------------------\n",
1216
+ "# YOUR MODEL INFERENCE CODE HERE\n",
1217
+ "# Update the code below to replace the random baseline by your model inference within the inference pass where the energy consumption and emissions are tracked.\n",
1218
+ "#--------------------------------------------------------------------------------------------\n",
1219
+ "\n",
1220
+ "# Make random predictions (placeholder for actual model inference)\n",
1221
+ "true_labels = test_dataset[\"label\"]\n",
1222
+ "import torch\n",
1223
+ "from transformers import pipeline\n",
1224
+ "from sklearn import preprocessing\n",
1225
+ "#encoded_data_fine_tuned_model = train_test[\"train\"].map(preprocess_function, remove_columns=\"audio\", batched=True)\n",
1226
+ "\n",
1227
+ "from datasets import Dataset\n",
1228
+ "\n",
1229
+ "# Utilisation du pipeline directement sur le dataset\n",
1230
+ "classifier = pipeline(\"audio-classification\", model=\"CindyDelage/Challenge_HuggingFace_DFG_FrugalAI\", feature_extractor=feature_extractor)\n",
1231
+ "\n",
1232
+ "# Correctly access the audio data\n",
1233
+ "audio_data = [example[\"array\"] for example in dataset[\"test\"][\"audio\"]]\n",
1234
+ "\n",
1235
+ "# Prédiction sur tout le dataset\n",
1236
+ "results = classifier(audio_data, batch_size=8)\n",
1237
+ "\n",
1238
+ "predictions = []\n",
1239
+ "for result in results:\n",
1240
+ " # Check if result is a dictionary\n",
1241
+ " if isinstance(result, dict):\n",
1242
+ " # Get the label with the highest score\n",
1243
+ " predicted_label = result['label']\n",
1244
+ " else:\n",
1245
+ " # If result is not a dictionary, access it as a list\n",
1246
+ " predicted_label = result[0]['label'] # Assuming the dictionary is the first element\n",
1247
+ "\n",
1248
+ " # Assign 1 for \"environment\", 0 for \"chainsaw\"\n",
1249
+ " if predicted_label == 'environment':\n",
1250
+ " predictions.append(1)\n",
1251
+ " else:\n",
1252
+ " predictions.append(0)\n",
1253
+ "\n",
1254
+ "predictions\n",
1255
+ "\n",
1256
+ "#--------------------------------------------------------------------------------------------\n",
1257
+ "# YOUR MODEL INFERENCE STOPS HERE\n",
1258
+ "#--------------------------------------------------------------------------------------------"
1259
+ ]
1260
+ },
1261
+ {
1262
+ "cell_type": "code",
1263
+ "execution_count": null,
1264
+ "metadata": {
1265
+ "id": "XyF13FJeBF2E",
1266
+ "outputId": "258cf14c-1653-44dc-95b8-920df4dc5d32"
1267
+ },
1268
+ "outputs": [
1269
+ {
1270
+ "name": "stderr",
1271
+ "output_type": "stream",
1272
+ "text": [
1273
+ "[codecarbon WARNING @ 19:53:32] Background scheduler didn't run for a long period (47s), results might be inaccurate\n",
1274
+ "[codecarbon INFO @ 19:53:32] Energy consumed for RAM : 0.000156 kWh. RAM Power : 11.755242347717285 W\n",
1275
+ "[codecarbon INFO @ 19:53:32] Delta energy consumed for CPU with constant : 0.000564 kWh, power : 42.5 W\n",
1276
+ "[codecarbon INFO @ 19:53:32] Energy consumed for All CPU : 0.000564 kWh\n",
1277
+ "[codecarbon INFO @ 19:53:32] 0.000720 kWh of electricity used since the beginning.\n"
1278
+ ]
1279
+ },
1280
+ {
1281
+ "data": {
1282
+ "text/plain": [
1283
+ "EmissionsData(timestamp='2025-01-21T19:53:32', project_name='codecarbon', run_id='908f2e7e-4bb2-4991-a0f6-56bf8d7eda21', experiment_id='5b0fa12a-3dd7-45bb-9766-cc326314d9f1', duration=47.736408500000834, emissions=4.032368007471064e-05, emissions_rate=8.444466886328872e-07, cpu_power=42.5, gpu_power=0.0, ram_power=11.755242347717285, cpu_energy=0.0005636615353475565, gpu_energy=0, ram_energy=0.00015590305493261682, energy_consumed=0.0007195645902801733, country_name='France', country_iso_code='FRA', region='île-de-france', cloud_provider='', cloud_region='', os='Windows-11-10.0.22631-SP0', python_version='3.12.7', codecarbon_version='3.0.0_rc0', cpu_count=12, cpu_model='13th Gen Intel(R) Core(TM) i7-1365U', gpu_count=None, gpu_model=None, longitude=2.3494, latitude=48.8558, ram_total_size=31.347312927246094, tracking_mode='machine', on_cloud='N', pue=1.0)"
1284
+ ]
1285
+ },
1286
+ "execution_count": 8,
1287
+ "metadata": {},
1288
+ "output_type": "execute_result"
1289
+ }
1290
+ ],
1291
+ "source": [
1292
+ "# Stop tracking emissions\n",
1293
+ "emissions_data = tracker.stop_task()\n",
1294
+ "emissions_data"
1295
+ ]
1296
+ },
1297
+ {
1298
+ "cell_type": "code",
1299
+ "execution_count": null,
1300
+ "metadata": {
1301
+ "id": "wBVdK2TaBF2F",
1302
+ "outputId": "39596c2e-2734-4b37-922d-647d771efe0c"
1303
+ },
1304
+ "outputs": [
1305
+ {
1306
+ "data": {
1307
+ "text/plain": [
1308
+ "0.10090237899917966"
1309
+ ]
1310
+ },
1311
+ "execution_count": 9,
1312
+ "metadata": {},
1313
+ "output_type": "execute_result"
1314
+ }
1315
+ ],
1316
+ "source": [
1317
+ "# Calculate accuracy\n",
1318
+ "accuracy = accuracy_score(true_labels, predictions)\n",
1319
+ "accuracy"
1320
+ ]
1321
+ },
1322
+ {
1323
+ "cell_type": "code",
1324
+ "execution_count": null,
1325
+ "metadata": {
1326
+ "id": "eIjuJJrKBF2G",
1327
+ "outputId": "bf691025-6f9d-4e3d-9e1e-75f4bfbcd70c"
1328
+ },
1329
+ "outputs": [
1330
+ {
1331
+ "data": {
1332
+ "text/plain": [
1333
+ "{'submission_timestamp': '2025-01-21T19:53:46.639165',\n",
1334
+ " 'accuracy': 0.10090237899917966,\n",
1335
+ " 'energy_consumed_wh': 0.7195645902801733,\n",
1336
+ " 'emissions_gco2eq': 0.040323680074710634,\n",
1337
+ " 'emissions_data': {'run_id': '908f2e7e-4bb2-4991-a0f6-56bf8d7eda21',\n",
1338
+ " 'duration': 47.736408500000834,\n",
1339
+ " 'emissions': 4.032368007471064e-05,\n",
1340
+ " 'emissions_rate': 8.444466886328872e-07,\n",
1341
+ " 'cpu_power': 42.5,\n",
1342
+ " 'gpu_power': 0.0,\n",
1343
+ " 'ram_power': 11.755242347717285,\n",
1344
+ " 'cpu_energy': 0.0005636615353475565,\n",
1345
+ " 'gpu_energy': 0,\n",
1346
+ " 'ram_energy': 0.00015590305493261682,\n",
1347
+ " 'energy_consumed': 0.0007195645902801733,\n",
1348
+ " 'country_name': 'France',\n",
1349
+ " 'country_iso_code': 'FRA',\n",
1350
+ " 'region': 'île-de-france',\n",
1351
+ " 'cloud_provider': '',\n",
1352
+ " 'cloud_region': '',\n",
1353
+ " 'os': 'Windows-11-10.0.22631-SP0',\n",
1354
+ " 'python_version': '3.12.7',\n",
1355
+ " 'codecarbon_version': '3.0.0_rc0',\n",
1356
+ " 'cpu_count': 12,\n",
1357
+ " 'cpu_model': '13th Gen Intel(R) Core(TM) i7-1365U',\n",
1358
+ " 'gpu_count': None,\n",
1359
+ " 'gpu_model': None,\n",
1360
+ " 'ram_total_size': 31.347312927246094,\n",
1361
+ " 'tracking_mode': 'machine',\n",
1362
+ " 'on_cloud': 'N',\n",
1363
+ " 'pue': 1.0},\n",
1364
+ " 'dataset_config': {'dataset_name': 'QuotaClimat/frugalaichallenge-text-train',\n",
1365
+ " 'test_size': 0.2,\n",
1366
+ " 'test_seed': 42}}"
1367
+ ]
1368
+ },
1369
+ "execution_count": 10,
1370
+ "metadata": {},
1371
+ "output_type": "execute_result"
1372
+ }
1373
+ ],
1374
+ "source": [
1375
+ "# Prepare results dictionary\n",
1376
+ "results = {\n",
1377
+ " \"submission_timestamp\": datetime.now().isoformat(),\n",
1378
+ " \"accuracy\": float(accuracy),\n",
1379
+ " \"energy_consumed_wh\": emissions_data.energy_consumed * 1000,\n",
1380
+ " \"emissions_gco2eq\": emissions_data.emissions * 1000,\n",
1381
+ " \"emissions_data\": clean_emissions_data(emissions_data),\n",
1382
+ " \"dataset_config\": {\n",
1383
+ " \"dataset_name\": request.dataset_name,\n",
1384
+ " \"test_size\": request.test_size,\n",
1385
+ " \"test_seed\": request.test_seed\n",
1386
+ " }\n",
1387
+ "}\n",
1388
+ "\n",
1389
+ "results"
1390
+ ]
1391
+ }
1392
+ ],
1393
+ "metadata": {
1394
+ "kernelspec": {
1395
+ "display_name": "base",
1396
+ "language": "python",
1397
+ "name": "python3"
1398
+ },
1399
+ "language_info": {
1400
+ "codemirror_mode": {
1401
+ "name": "ipython",
1402
+ "version": 3
1403
+ },
1404
+ "file_extension": ".py",
1405
+ "mimetype": "text/x-python",
1406
+ "name": "python",
1407
+ "nbconvert_exporter": "python",
1408
+ "pygments_lexer": "ipython3",
1409
+ "version": "3.12.7"
1410
+ },
1411
+ "colab": {
1412
+ "provenance": []
1413
+ }
1414
+ },
1415
+ "nbformat": 4,
1416
+ "nbformat_minor": 0
1417
+ }