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HuggytheDog

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  1. Huggy.zip +3 -0
  2. HuggytheDog.ipynb +1341 -0
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+ "model_name": "DescriptionStyleModel",
965
+ "model_module_version": "1.5.0",
966
+ "state": {
967
+ "_model_module": "@jupyter-widgets/controls",
968
+ "_model_module_version": "1.5.0",
969
+ "_model_name": "DescriptionStyleModel",
970
+ "_view_count": null,
971
+ "_view_module": "@jupyter-widgets/base",
972
+ "_view_module_version": "1.2.0",
973
+ "_view_name": "StyleView",
974
+ "description_width": ""
975
+ }
976
+ }
977
+ }
978
+ }
979
+ },
980
+ "cells": [
981
+ {
982
+ "cell_type": "code",
983
+ "execution_count": 1,
984
+ "metadata": {
985
+ "id": "xV2FWNs65cY6"
986
+ },
987
+ "outputs": [],
988
+ "source": [
989
+ "%%capture\n",
990
+ "# Clone the repository (can take 3min)\n",
991
+ "!git clone --depth 1 https://github.com/Unity-Technologies/ml-agents"
992
+ ]
993
+ },
994
+ {
995
+ "cell_type": "code",
996
+ "execution_count": 2,
997
+ "metadata": {
998
+ "id": "d8wmVcMk7xKo"
999
+ },
1000
+ "outputs": [],
1001
+ "source": [
1002
+ "%%capture\n",
1003
+ "# Go inside the repository and install the package (can take 3min)\n",
1004
+ "%cd ml-agents\n",
1005
+ "!pip3 install -e ./ml-agents-envs\n",
1006
+ "!pip3 install -e ./ml-agents"
1007
+ ]
1008
+ },
1009
+ {
1010
+ "cell_type": "code",
1011
+ "source": [
1012
+ "!mkdir ./trained-envs-executables\n",
1013
+ "!mkdir ./trained-envs-executables/linux"
1014
+ ],
1015
+ "metadata": {
1016
+ "id": "dCUeGzyz6NPv"
1017
+ },
1018
+ "execution_count": 3,
1019
+ "outputs": []
1020
+ },
1021
+ {
1022
+ "cell_type": "code",
1023
+ "source": [
1024
+ "!wget \"https://github.com/huggingface/Huggy/raw/main/Huggy.zip\" -O ./trained-envs-executables/linux/Huggy.zip"
1025
+ ],
1026
+ "metadata": {
1027
+ "colab": {
1028
+ "base_uri": "https://localhost:8080/"
1029
+ },
1030
+ "id": "uhmoYkoB6JiX",
1031
+ "outputId": "dfe663d7-868d-4ec7-ba97-c7935cc5a513"
1032
+ },
1033
+ "execution_count": 4,
1034
+ "outputs": [
1035
+ {
1036
+ "output_type": "stream",
1037
+ "name": "stdout",
1038
+ "text": [
1039
+ "--2024-02-23 17:05:33-- https://github.com/huggingface/Huggy/raw/main/Huggy.zip\n",
1040
+ "Resolving github.com (github.com)... 192.30.255.113\n",
1041
+ "Connecting to github.com (github.com)|192.30.255.113|:443... connected.\n",
1042
+ "HTTP request sent, awaiting response... 302 Found\n",
1043
+ "Location: https://media.githubusercontent.com/media/huggingface/Huggy/main/Huggy.zip [following]\n",
1044
+ "--2024-02-23 17:05:33-- https://media.githubusercontent.com/media/huggingface/Huggy/main/Huggy.zip\n",
1045
+ "Resolving media.githubusercontent.com (media.githubusercontent.com)... 185.199.108.133, 185.199.109.133, 185.199.110.133, ...\n",
1046
+ "Connecting to media.githubusercontent.com (media.githubusercontent.com)|185.199.108.133|:443... connected.\n",
1047
+ "HTTP request sent, awaiting response... 200 OK\n",
1048
+ "Length: 39214997 (37M) [application/zip]\n",
1049
+ "Saving to: ‘./trained-envs-executables/linux/Huggy.zip’\n",
1050
+ "\n",
1051
+ "./trained-envs-exec 100%[===================>] 37.40M 244MB/s in 0.2s \n",
1052
+ "\n",
1053
+ "2024-02-23 17:05:35 (244 MB/s) - ‘./trained-envs-executables/linux/Huggy.zip’ saved [39214997/39214997]\n",
1054
+ "\n"
1055
+ ]
1056
+ }
1057
+ ]
1058
+ },
1059
+ {
1060
+ "cell_type": "code",
1061
+ "source": [
1062
+ "%%capture\n",
1063
+ "!unzip -d ./trained-envs-executables/linux/ ./trained-envs-executables/linux/Huggy.zip"
1064
+ ],
1065
+ "metadata": {
1066
+ "id": "PcoTxSTX6NZp"
1067
+ },
1068
+ "execution_count": 5,
1069
+ "outputs": []
1070
+ },
1071
+ {
1072
+ "cell_type": "code",
1073
+ "source": [
1074
+ "!chmod -R 755 ./trained-envs-executables/linux/Huggy"
1075
+ ],
1076
+ "metadata": {
1077
+ "id": "M0YotyCf6Nb9"
1078
+ },
1079
+ "execution_count": 6,
1080
+ "outputs": []
1081
+ },
1082
+ {
1083
+ "cell_type": "code",
1084
+ "source": [
1085
+ "!mlagents-learn ./config/ppo/Huggy.yaml --env=./trained-envs-executables/linux/Huggy/Huggy --run-id=\"Huggy2\" --no-graphics"
1086
+ ],
1087
+ "metadata": {
1088
+ "colab": {
1089
+ "base_uri": "https://localhost:8080/"
1090
+ },
1091
+ "id": "wHEDv1396NgJ",
1092
+ "outputId": "91d7c50f-7883-48f5-9471-90d18e6acfe1"
1093
+ },
1094
+ "execution_count": 7,
1095
+ "outputs": [
1096
+ {
1097
+ "output_type": "stream",
1098
+ "name": "stdout",
1099
+ "text": [
1100
+ "/usr/local/lib/python3.10/dist-packages/torch/__init__.py:696: UserWarning: torch.set_default_tensor_type() is deprecated as of PyTorch 2.1, please use torch.set_default_dtype() and torch.set_default_device() as alternatives. (Triggered internally at ../torch/csrc/tensor/python_tensor.cpp:451.)\n",
1101
+ " _C._set_default_tensor_type(t)\n",
1102
+ "\n",
1103
+ " ┐ ╖\n",
1104
+ " ╓╖╬│╡ ││╬╖╖\n",
1105
+ " ╓╖╬│││││┘ ╬│││││╬╖\n",
1106
+ " ╖╬│││││╬╜ ╙╬│││││╖╖ ╗╗╗\n",
1107
+ " ╬╬╬╬╖││╦╖ ╖╬││╗╣╣╣╬ ╟╣╣╬ ╟╣╣╣ ╜╜╜ ╟╣╣\n",
1108
+ " ╬╬╬╬╬╬╬╬╖│╬╖╖╓╬╪│╓╣╣╣╣╣╣╣╬ ╟╣╣╬ ╟╣╣╣ ╒╣╣╖╗╣╣╣╗ ╣╣╣ ╣╣╣╣╣╣ ╟╣╣╖ ╣╣╣\n",
1109
+ " ╬╬╬╬┐ ╙╬╬╬╬│╓╣╣╣╝╜ ╫╣╣╣╬ ╟╣╣╬ ╟╣╣╣ ╟╣╣╣╙ ╙╣╣╣ ╣╣╣ ╙╟╣╣╜╙ ╫╣╣ ╟╣╣\n",
1110
+ " ╬╬╬╬┐ ╙╬╬╣╣ ╫╣╣╣╬ ╟╣╣╬ ╟╣╣╣ ╟╣╣╬ ╣╣╣ ╣╣╣ ╟╣╣ ╣╣╣┌╣╣╜\n",
1111
+ " ╬╬╬╜ ╬╬╣╣ ╙╝╣╣╬ ╙╣╣╣╗╖╓╗╣╣╣╜ ╟╣╣╬ ╣╣╣ ╣╣╣ ╟╣╣╦╓ ╣╣╣╣╣\n",
1112
+ " ╙ ╓╦╖ ╬╬╣╣ ╓╗╗╖ ╙╝╣╣╣╣╝╜ ╘╝╝╜ ╝╝╝ ╝╝╝ ╙╣╣╣ ╟╣╣╣\n",
1113
+ " ╩╬╬╬╬╬╬╦╦╬╬╣╣╗╣╣╣╣╣╣╣╝ ╫╣╣╣╣\n",
1114
+ " ╙╬╬╬╬╬╬╬╣╣╣╣╣╣╝╜\n",
1115
+ " ╙╬╬╬╣╣╣╜\n",
1116
+ " ╙\n",
1117
+ " \n",
1118
+ " Version information:\n",
1119
+ " ml-agents: 1.1.0.dev0,\n",
1120
+ " ml-agents-envs: 1.1.0.dev0,\n",
1121
+ " Communicator API: 1.5.0,\n",
1122
+ " PyTorch: 2.2.1+cu121\n",
1123
+ "[INFO] Connected to Unity environment with package version 2.2.1-exp.1 and communication version 1.5.0\n",
1124
+ "[INFO] Connected new brain: Huggy?team=0\n",
1125
+ "[INFO] Hyperparameters for behavior name Huggy: \n",
1126
+ "\ttrainer_type:\tppo\n",
1127
+ "\thyperparameters:\t\n",
1128
+ "\t batch_size:\t2048\n",
1129
+ "\t buffer_size:\t20480\n",
1130
+ "\t learning_rate:\t0.0003\n",
1131
+ "\t beta:\t0.005\n",
1132
+ "\t epsilon:\t0.2\n",
1133
+ "\t lambd:\t0.95\n",
1134
+ "\t num_epoch:\t3\n",
1135
+ "\t shared_critic:\tFalse\n",
1136
+ "\t learning_rate_schedule:\tlinear\n",
1137
+ "\t beta_schedule:\tlinear\n",
1138
+ "\t epsilon_schedule:\tlinear\n",
1139
+ "\tcheckpoint_interval:\t200000\n",
1140
+ "\tnetwork_settings:\t\n",
1141
+ "\t normalize:\tTrue\n",
1142
+ "\t hidden_units:\t512\n",
1143
+ "\t num_layers:\t3\n",
1144
+ "\t vis_encode_type:\tsimple\n",
1145
+ "\t memory:\tNone\n",
1146
+ "\t goal_conditioning_type:\thyper\n",
1147
+ "\t deterministic:\tFalse\n",
1148
+ "\treward_signals:\t\n",
1149
+ "\t extrinsic:\t\n",
1150
+ "\t gamma:\t0.995\n",
1151
+ "\t strength:\t1.0\n",
1152
+ "\t network_settings:\t\n",
1153
+ "\t normalize:\tFalse\n",
1154
+ "\t hidden_units:\t128\n",
1155
+ "\t num_layers:\t2\n",
1156
+ "\t vis_encode_type:\tsimple\n",
1157
+ "\t memory:\tNone\n",
1158
+ "\t goal_conditioning_type:\thyper\n",
1159
+ "\t deterministic:\tFalse\n",
1160
+ "\tinit_path:\tNone\n",
1161
+ "\tkeep_checkpoints:\t15\n",
1162
+ "\teven_checkpoints:\tFalse\n",
1163
+ "\tmax_steps:\t2000000\n",
1164
+ "\ttime_horizon:\t1000\n",
1165
+ "\tsummary_freq:\t50000\n",
1166
+ "\tthreaded:\tFalse\n",
1167
+ "\tself_play:\tNone\n",
1168
+ "\tbehavioral_cloning:\tNone\n",
1169
+ "[INFO] Huggy. Step: 50000. Time Elapsed: 93.378 s. Mean Reward: 1.909. Std of Reward: 0.914. Training.\n",
1170
+ "[INFO] Huggy. Step: 100000. Time Elapsed: 175.763 s. Mean Reward: 2.584. Std of Reward: 1.080. Training.\n",
1171
+ "[INFO] Huggy. Step: 150000. Time Elapsed: 266.613 s. Mean Reward: 3.110. Std of Reward: 1.117. Training.\n",
1172
+ "[INFO] Huggy. Step: 200000. Time Elapsed: 348.009 s. Mean Reward: 3.468. Std of Reward: 1.310. Training.\n",
1173
+ "[INFO] Exported results/Huggy2/Huggy/Huggy-199826.onnx\n",
1174
+ "[INFO] Huggy. Step: 250000. Time Elapsed: 442.187 s. Mean Reward: 3.305. Std of Reward: 1.395. Training.\n",
1175
+ "[INFO] Huggy. Step: 300000. Time Elapsed: 529.052 s. Mean Reward: 3.647. Std of Reward: 1.422. Training.\n",
1176
+ "[INFO] Huggy. Step: 350000. Time Elapsed: 614.213 s. Mean Reward: 3.862. Std of Reward: 1.543. Training.\n",
1177
+ "[INFO] Huggy. Step: 400000. Time Elapsed: 710.369 s. Mean Reward: 3.833. Std of Reward: 1.632. Training.\n",
1178
+ "[INFO] Exported results/Huggy2/Huggy/Huggy-399993.onnx\n",
1179
+ "[INFO] Huggy. Step: 450000. Time Elapsed: 796.704 s. Mean Reward: 3.883. Std of Reward: 1.697. Training.\n",
1180
+ "[INFO] Huggy. Step: 500000. Time Elapsed: 891.846 s. Mean Reward: 3.767. Std of Reward: 1.780. Training.\n",
1181
+ "[INFO] Huggy. Step: 550000. Time Elapsed: 976.981 s. Mean Reward: 3.748. Std of Reward: 1.747. Training.\n",
1182
+ "[INFO] Huggy. Step: 600000. Time Elapsed: 1074.936 s. Mean Reward: 3.700. Std of Reward: 1.690. Training.\n",
1183
+ "[INFO] Exported results/Huggy2/Huggy/Huggy-599947.onnx\n",
1184
+ "[INFO] Huggy. Step: 650000. Time Elapsed: 1164.652 s. Mean Reward: 3.830. Std of Reward: 1.696. Training.\n",
1185
+ "[INFO] Huggy. Step: 700000. Time Elapsed: 1250.707 s. Mean Reward: 3.820. Std of Reward: 1.811. Training.\n",
1186
+ "[INFO] Huggy. Step: 750000. Time Elapsed: 1345.573 s. Mean Reward: 3.904. Std of Reward: 1.747. Training.\n",
1187
+ "[INFO] Huggy. Step: 800000. Time Elapsed: 1433.824 s. Mean Reward: 3.841. Std of Reward: 1.647. Training.\n",
1188
+ "[INFO] Exported results/Huggy2/Huggy/Huggy-799965.onnx\n",
1189
+ "[INFO] Huggy. Step: 850000. Time Elapsed: 1528.304 s. Mean Reward: 3.815. Std of Reward: 1.784. Training.\n",
1190
+ "[INFO] Huggy. Step: 900000. Time Elapsed: 1615.571 s. Mean Reward: 3.966. Std of Reward: 1.696. Training.\n",
1191
+ "[INFO] Huggy. Step: 950000. Time Elapsed: 1714.848 s. Mean Reward: 3.818. Std of Reward: 1.711. Training.\n",
1192
+ "[INFO] Huggy. Step: 1000000. Time Elapsed: 1803.308 s. Mean Reward: 3.939. Std of Reward: 1.724. Training.\n",
1193
+ "[INFO] Exported results/Huggy2/Huggy/Huggy-999988.onnx\n",
1194
+ "[INFO] Huggy. Step: 1050000. Time Elapsed: 1891.760 s. Mean Reward: 3.963. Std of Reward: 1.686. Training.\n",
1195
+ "[INFO] Huggy. Step: 1100000. Time Elapsed: 1990.631 s. Mean Reward: 3.863. Std of Reward: 1.779. Training.\n",
1196
+ "[INFO] Huggy. Step: 1150000. Time Elapsed: 2080.953 s. Mean Reward: 3.912. Std of Reward: 1.684. Training.\n",
1197
+ "[INFO] Huggy. Step: 1200000. Time Elapsed: 2179.607 s. Mean Reward: 3.971. Std of Reward: 1.675. Training.\n",
1198
+ "[INFO] Exported results/Huggy2/Huggy/Huggy-1199952.onnx\n",
1199
+ "[INFO] Huggy. Step: 1250000. Time Elapsed: 2267.157 s. Mean Reward: 3.846. Std of Reward: 1.774. Training.\n",
1200
+ "[INFO] Huggy. Step: 1300000. Time Elapsed: 2366.259 s. Mean Reward: 3.790. Std of Reward: 1.684. Training.\n",
1201
+ "[INFO] Huggy. Step: 1350000. Time Elapsed: 2455.261 s. Mean Reward: 3.883. Std of Reward: 1.680. Training.\n",
1202
+ "[INFO] Huggy. Step: 1400000. Time Elapsed: 2551.313 s. Mean Reward: 3.909. Std of Reward: 1.621. Training.\n",
1203
+ "[INFO] Exported results/Huggy2/Huggy/Huggy-1399996.onnx\n",
1204
+ "[INFO] Huggy. Step: 1450000. Time Elapsed: 2638.028 s. Mean Reward: 3.872. Std of Reward: 1.700. Training.\n",
1205
+ "[INFO] Huggy. Step: 1500000. Time Elapsed: 2726.560 s. Mean Reward: 3.849. Std of Reward: 1.699. Training.\n",
1206
+ "[INFO] Huggy. Step: 1550000. Time Elapsed: 2821.528 s. Mean Reward: 3.976. Std of Reward: 1.728. Training.\n",
1207
+ "[INFO] Huggy. Step: 1600000. Time Elapsed: 2908.367 s. Mean Reward: 3.887. Std of Reward: 1.701. Training.\n",
1208
+ "[INFO] Exported results/Huggy2/Huggy/Huggy-1599961.onnx\n",
1209
+ "[INFO] Huggy. Step: 1650000. Time Elapsed: 3005.380 s. Mean Reward: 3.857. Std of Reward: 1.713. Training.\n",
1210
+ "[INFO] Huggy. Step: 1700000. Time Elapsed: 3097.110 s. Mean Reward: 3.943. Std of Reward: 1.666. Training.\n",
1211
+ "[INFO] Huggy. Step: 1750000. Time Elapsed: 3196.133 s. Mean Reward: 4.018. Std of Reward: 1.769. Training.\n",
1212
+ "[INFO] Huggy. Step: 1800000. Time Elapsed: 3288.032 s. Mean Reward: 3.789. Std of Reward: 1.684. Training.\n",
1213
+ "[INFO] Exported results/Huggy2/Huggy/Huggy-1799993.onnx\n",
1214
+ "[INFO] Huggy. Step: 1850000. Time Elapsed: 3378.888 s. Mean Reward: 3.871. Std of Reward: 1.685. Training.\n",
1215
+ "[INFO] Huggy. Step: 1900000. Time Elapsed: 3477.182 s. Mean Reward: 3.893. Std of Reward: 1.726. Training.\n",
1216
+ "[INFO] Huggy. Step: 1950000. Time Elapsed: 3566.042 s. Mean Reward: 3.936. Std of Reward: 1.702. Training.\n",
1217
+ "[INFO] Huggy. Step: 2000000. Time Elapsed: 3661.740 s. Mean Reward: 3.916. Std of Reward: 1.828. Training.\n",
1218
+ "[INFO] Exported results/Huggy2/Huggy/Huggy-1999981.onnx\n",
1219
+ "[INFO] Exported results/Huggy2/Huggy/Huggy-2000065.onnx\n",
1220
+ "[INFO] Copied results/Huggy2/Huggy/Huggy-2000065.onnx to results/Huggy2/Huggy.onnx.\n"
1221
+ ]
1222
+ }
1223
+ ]
1224
+ },
1225
+ {
1226
+ "cell_type": "code",
1227
+ "source": [
1228
+ "from huggingface_hub import notebook_login\n",
1229
+ "notebook_login()"
1230
+ ],
1231
+ "metadata": {
1232
+ "colab": {
1233
+ "base_uri": "https://localhost:8080/",
1234
+ "height": 145,
1235
+ "referenced_widgets": [
1236
+ "ba3ffd7bb01a4cafa2635b5f106bc1cd",
1237
+ "c41a41b0e9f14ed88a0e1bdbe80d754c",
1238
+ "de682414aefb45c7beb124d2ff029844",
1239
+ "380f1c7ab66d44d79fe1241433b3de58",
1240
+ "0da59d818fa44cde9cbc8b803bd30d38",
1241
+ "4dd3d809e24f4c8388e0ca126dc9f1a2",
1242
+ "251fd2fec80a4ec7a59272a41d379d2f",
1243
+ "d59e27cb10f44d16b63f0868a283dfe6",
1244
+ "23853a0320f3423d8f37213a6f1afec0",
1245
+ "f7220d55fa1a4fd2933c148f94ef7092",
1246
+ "6555a2944f1f408db5ab508472eb1710",
1247
+ "262b7fcaa1a545c1948f42283c763506",
1248
+ "4b83ced9a7924ae9ad9209c92e445c55",
1249
+ "2cfff59e91eb45a4a33ae45c886ee188",
1250
+ "236f1354946a471699ed746856f6ebce",
1251
+ "1b463f3730964499b5872d45057ea7f1",
1252
+ "23c6a79f7ab44019b2e331531187edbe",
1253
+ "d435e1a579394af0af9ee4b67566b121",
1254
+ "ca2f9498bd7b440f8d570a39a8cb7c98",
1255
+ "03dd395bb4e743c3b545f5dc7fa62c75",
1256
+ "071b0a7cb7ff4fa9b4a50d2bdbcfc01a",
1257
+ "26cedad581804b40817c4db80b44d56d",
1258
+ "cf76cc497c424249b7e449ea5589e90b",
1259
+ "825548fb63f8444a89940aca63bc7b83",
1260
+ "e56c1224065b4c92b6a8800773224037",
1261
+ "76dc121e5aac492ab209f28385136fc4",
1262
+ "59de9658f0f14163b5115d32a300ce88",
1263
+ "54dd72d47d324b1ea0ddbf44a68fa414",
1264
+ "4ea0ab70227448a98c37cbe56d7af3a5",
1265
+ "feb19fb48daf47be9e1375eaf67ff19d",
1266
+ "44cb4e413f2f414fb6e92557ae355158",
1267
+ "5a7fef3b31cd49e2a43c2b2ad545cce2"
1268
+ ]
1269
+ },
1270
+ "id": "wALA9m226Nm7",
1271
+ "outputId": "8d07facf-0458-470e-8dd9-fb9c1056db2a"
1272
+ },
1273
+ "execution_count": 8,
1274
+ "outputs": [
1275
+ {
1276
+ "output_type": "display_data",
1277
+ "data": {
1278
+ "text/plain": [
1279
+ "VBox(children=(HTML(value='<center> <img\\nsrc=https://huggingface.co/front/assets/huggingface_logo-noborder.sv…"
1280
+ ],
1281
+ "application/vnd.jupyter.widget-view+json": {
1282
+ "version_major": 2,
1283
+ "version_minor": 0,
1284
+ "model_id": "ba3ffd7bb01a4cafa2635b5f106bc1cd"
1285
+ }
1286
+ },
1287
+ "metadata": {}
1288
+ }
1289
+ ]
1290
+ },
1291
+ {
1292
+ "cell_type": "code",
1293
+ "source": [
1294
+ "!mlagents-push-to-hf --run-id=\"HuggyTraining\" --local-dir=\"./results/Huggy\" --repo-id=\"ThomasSimonini/ppo-Huggy\" --commit-message=\"Huggy\""
1295
+ ],
1296
+ "metadata": {
1297
+ "colab": {
1298
+ "base_uri": "https://localhost:8080/"
1299
+ },
1300
+ "id": "qJJbGZY_6Nqe",
1301
+ "outputId": "491b5d7b-7326-4c0e-b5b3-1cdbf41d2556"
1302
+ },
1303
+ "execution_count": 9,
1304
+ "outputs": [
1305
+ {
1306
+ "output_type": "stream",
1307
+ "name": "stdout",
1308
+ "text": [
1309
+ "[INFO] This function will create a model card and upload your HuggyTraining into HuggingFace Hub. This is a work in progress: If you encounter a bug, please send open an issue\n",
1310
+ "Traceback (most recent call last):\n",
1311
+ " File \"/usr/local/bin/mlagents-push-to-hf\", line 33, in <module>\n",
1312
+ " sys.exit(load_entry_point('mlagents', 'console_scripts', 'mlagents-push-to-hf')())\n",
1313
+ " File \"/content/ml-agents/ml-agents/mlagents/utils/push_to_hf.py\", line 205, in main\n",
1314
+ " package_to_hub(\n",
1315
+ " File \"/content/ml-agents/ml-agents/mlagents/utils/push_to_hf.py\", line 159, in package_to_hub\n",
1316
+ " _generate_config(local_path, configfile_name)\n",
1317
+ " File \"/content/ml-agents/ml-agents/mlagents/utils/push_to_hf.py\", line 29, in _generate_config\n",
1318
+ " with open(os.path.join(local_dir, configfile_name)) as yaml_in:\n",
1319
+ "FileNotFoundError: [Errno 2] No such file or directory: 'results/Huggy/configuration.yaml'\n"
1320
+ ]
1321
+ }
1322
+ ]
1323
+ },
1324
+ {
1325
+ "cell_type": "code",
1326
+ "source": [],
1327
+ "metadata": {
1328
+ "id": "PeBLrP5GLedL"
1329
+ },
1330
+ "execution_count": null,
1331
+ "outputs": []
1332
+ },
1333
+ {
1334
+ "cell_type": "markdown",
1335
+ "source": [],
1336
+ "metadata": {
1337
+ "id": "aVz3MLHA6LWZ"
1338
+ }
1339
+ }
1340
+ ]
1341
+ }