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# codebert-python-custom-functions-dataset-python

This model is a fine-tuned version of [neulab/codebert-python](https://huggingface.co/neulab/codebert-python) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0122

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

More information needed

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 17.6391       | 0.02  | 1    | 18.8468         |
| 17.4624       | 0.05  | 2    | 16.8714         |
| 16.0325       | 0.07  | 3    | 14.7237         |
| 13.9159       | 0.09  | 4    | 12.3306         |
| 10.0481       | 0.12  | 5    | 9.8566          |
| 9.809         | 0.14  | 6    | 7.6512          |
| 7.2165        | 0.16  | 7    | 6.0915          |
| 5.712         | 0.19  | 8    | 5.3033          |
| 5.4211        | 0.21  | 9    | 5.0586          |
| 4.8932        | 0.23  | 10   | 5.0131          |
| 5.066         | 0.26  | 11   | 4.9536          |
| 4.9451        | 0.28  | 12   | 4.8411          |
| 5.0093        | 0.3   | 13   | 4.6795          |
| 4.6068        | 0.33  | 14   | 4.4849          |
| 4.3224        | 0.35  | 15   | 4.2770          |
| 3.9837        | 0.37  | 16   | 4.0797          |
| 4.1976        | 0.4   | 17   | 3.9111          |
| 4.128         | 0.42  | 18   | 3.7831          |
| 3.9352        | 0.44  | 19   | 3.6859          |
| 4.0264        | 0.47  | 20   | 3.6056          |
| 3.8478        | 0.49  | 21   | 3.5358          |
| 3.6362        | 0.51  | 22   | 3.4453          |
| 3.3028        | 0.53  | 23   | 3.3264          |
| 3.1371        | 0.56  | 24   | 3.2070          |
| 3.3148        | 0.58  | 25   | 3.0813          |
| 3.2673        | 0.6   | 26   | 2.9608          |
| 3.0928        | 0.63  | 27   | 2.8464          |
| 2.8426        | 0.65  | 28   | 2.7360          |
| 2.719         | 0.67  | 29   | 2.6269          |
| 2.9311        | 0.7   | 30   | 2.5197          |
| 2.7809        | 0.72  | 31   | 2.4133          |
| 2.5529        | 0.74  | 32   | 2.3118          |
| 2.3033        | 0.77  | 33   | 2.2164          |
| 2.3882        | 0.79  | 34   | 2.1272          |
| 2.4683        | 0.81  | 35   | 2.0446          |
| 2.4469        | 0.84  | 36   | 1.9679          |
| 2.2185        | 0.86  | 37   | 1.8938          |
| 2.2096        | 0.88  | 38   | 1.8196          |
| 2.2544        | 0.91  | 39   | 1.7513          |
| 1.9036        | 0.93  | 40   | 1.6817          |
| 1.983         | 0.95  | 41   | 1.6117          |
| 1.6973        | 0.98  | 42   | 1.5473          |
| 1.7622        | 1.0   | 43   | 1.4910          |
| 1.8068        | 1.02  | 44   | 1.4393          |
| 1.6332        | 1.05  | 45   | 1.3937          |
| 1.5962        | 1.07  | 46   | 1.3504          |
| 1.5566        | 1.09  | 47   | 1.3093          |
| 1.467         | 1.12  | 48   | 1.2705          |
| 1.5833        | 1.14  | 49   | 1.2302          |
| 1.462         | 1.16  | 50   | 1.1902          |
| 1.6844        | 1.19  | 51   | 1.1489          |
| 1.4811        | 1.21  | 52   | 1.1072          |
| 1.132         | 1.23  | 53   | 1.0670          |
| 1.3929        | 1.26  | 54   | 1.0320          |
| 1.3733        | 1.28  | 55   | 1.0005          |
| 1.3173        | 1.3   | 56   | 0.9679          |
| 0.9966        | 1.33  | 57   | 0.9359          |
| 1.3424        | 1.35  | 58   | 0.9031          |
| 1.0773        | 1.37  | 59   | 0.8694          |
| 1.0527        | 1.4   | 60   | 0.8364          |
| 1.139         | 1.42  | 61   | 0.8032          |
| 1.1167        | 1.44  | 62   | 0.7734          |
| 0.7685        | 1.47  | 63   | 0.7460          |
| 1.011         | 1.49  | 64   | 0.7211          |
| 0.9925        | 1.51  | 65   | 0.6949          |
| 1.1036        | 1.53  | 66   | 0.6706          |
| 0.9265        | 1.56  | 67   | 0.6462          |
| 0.8027        | 1.58  | 68   | 0.6212          |
| 0.8847        | 1.6   | 69   | 0.5986          |
| 0.8378        | 1.63  | 70   | 0.5767          |
| 0.9169        | 1.65  | 71   | 0.5578          |
| 0.937         | 1.67  | 72   | 0.5385          |
| 0.9755        | 1.7   | 73   | 0.5213          |
| 0.8666        | 1.72  | 74   | 0.5065          |
| 0.7972        | 1.74  | 75   | 0.4924          |
| 0.8839        | 1.77  | 76   | 0.4777          |
| 0.6774        | 1.79  | 77   | 0.4632          |
| 0.7032        | 1.81  | 78   | 0.4484          |
| 0.595         | 1.84  | 79   | 0.4343          |
| 0.733         | 1.86  | 80   | 0.4218          |
| 0.7852        | 1.88  | 81   | 0.4105          |
| 0.649         | 1.91  | 82   | 0.3998          |
| 0.729         | 1.93  | 83   | 0.3904          |
| 0.7798        | 1.95  | 84   | 0.3828          |
| 0.612         | 1.98  | 85   | 0.3756          |
| 0.7662        | 2.0   | 86   | 0.3690          |
| 0.5521        | 2.02  | 87   | 0.3612          |
| 0.5335        | 2.05  | 88   | 0.3528          |
| 0.603         | 2.07  | 89   | 0.3428          |
| 0.5893        | 2.09  | 90   | 0.3328          |
| 0.6001        | 2.12  | 91   | 0.3214          |
| 0.4813        | 2.14  | 92   | 0.3091          |
| 0.5835        | 2.16  | 93   | 0.2986          |
| 0.4238        | 2.19  | 94   | 0.2899          |
| 0.517         | 2.21  | 95   | 0.2826          |
| 0.3389        | 2.23  | 96   | 0.2771          |
| 0.5621        | 2.26  | 97   | 0.2719          |
| 0.5298        | 2.28  | 98   | 0.2676          |
| 0.5001        | 2.3   | 99   | 0.2636          |
| 0.6028        | 2.33  | 100  | 0.2598          |
| 0.4834        | 2.35  | 101  | 0.2560          |
| 0.3828        | 2.37  | 102  | 0.2513          |
| 0.3283        | 2.4   | 103  | 0.2453          |
| 0.362         | 2.42  | 104  | 0.2379          |
| 0.3924        | 2.44  | 105  | 0.2312          |
| 0.5881        | 2.47  | 106  | 0.2254          |
| 0.4036        | 2.49  | 107  | 0.2190          |
| 0.3797        | 2.51  | 108  | 0.2131          |
| 0.4023        | 2.53  | 109  | 0.2076          |
| 0.3779        | 2.56  | 110  | 0.2024          |
| 0.5212        | 2.58  | 111  | 0.1968          |
| 0.3527        | 2.6   | 112  | 0.1913          |
| 0.4868        | 2.63  | 113  | 0.1858          |
| 0.3335        | 2.65  | 114  | 0.1804          |
| 0.3045        | 2.67  | 115  | 0.1759          |
| 0.3618        | 2.7   | 116  | 0.1718          |
| 0.304         | 2.72  | 117  | 0.1682          |
| 0.3166        | 2.74  | 118  | 0.1647          |
| 0.3969        | 2.77  | 119  | 0.1615          |
| 0.2572        | 2.79  | 120  | 0.1594          |
| 0.3467        | 2.81  | 121  | 0.1569          |
| 0.3321        | 2.84  | 122  | 0.1546          |
| 0.33          | 2.86  | 123  | 0.1512          |
| 0.2282        | 2.88  | 124  | 0.1477          |
| 0.2623        | 2.91  | 125  | 0.1437          |
| 0.4284        | 2.93  | 126  | 0.1400          |
| 0.3089        | 2.95  | 127  | 0.1367          |
| 0.3058        | 2.98  | 128  | 0.1333          |
| 0.1779        | 3.0   | 129  | 0.1302          |
| 0.2915        | 3.02  | 130  | 0.1271          |
| 0.2477        | 3.05  | 131  | 0.1240          |
| 0.2636        | 3.07  | 132  | 0.1209          |
| 0.2607        | 3.09  | 133  | 0.1181          |
| 0.2009        | 3.12  | 134  | 0.1158          |
| 0.3641        | 3.14  | 135  | 0.1140          |
| 0.2024        | 3.16  | 136  | 0.1127          |
| 0.232         | 3.19  | 137  | 0.1112          |
| 0.3783        | 3.21  | 138  | 0.1096          |
| 0.2223        | 3.23  | 139  | 0.1083          |
| 0.1471        | 3.26  | 140  | 0.1071          |
| 0.2082        | 3.28  | 141  | 0.1057          |
| 0.1142        | 3.3   | 142  | 0.1047          |
| 0.1785        | 3.33  | 143  | 0.1032          |
| 0.1935        | 3.35  | 144  | 0.1013          |
| 0.2114        | 3.37  | 145  | 0.0994          |
| 0.1827        | 3.4   | 146  | 0.0977          |
| 0.2312        | 3.42  | 147  | 0.0960          |
| 0.2209        | 3.44  | 148  | 0.0943          |
| 0.4012        | 3.47  | 149  | 0.0930          |
| 0.2126        | 3.49  | 150  | 0.0914          |
| 0.1883        | 3.51  | 151  | 0.0897          |
| 0.2101        | 3.53  | 152  | 0.0883          |
| 0.2442        | 3.56  | 153  | 0.0868          |
| 0.1923        | 3.58  | 154  | 0.0852          |
| 0.2541        | 3.6   | 155  | 0.0838          |
| 0.2062        | 3.63  | 156  | 0.0823          |
| 0.2114        | 3.65  | 157  | 0.0807          |
| 0.1809        | 3.67  | 158  | 0.0792          |
| 0.2083        | 3.7   | 159  | 0.0777          |
| 0.2163        | 3.72  | 160  | 0.0764          |
| 0.1913        | 3.74  | 161  | 0.0753          |
| 0.2633        | 3.77  | 162  | 0.0744          |
| 0.3123        | 3.79  | 163  | 0.0736          |
| 0.1271        | 3.81  | 164  | 0.0729          |
| 0.2404        | 3.84  | 165  | 0.0722          |
| 0.1316        | 3.86  | 166  | 0.0714          |
| 0.2107        | 3.88  | 167  | 0.0710          |
| 0.2088        | 3.91  | 168  | 0.0703          |
| 0.1813        | 3.93  | 169  | 0.0697          |
| 0.2049        | 3.95  | 170  | 0.0690          |
| 0.2178        | 3.98  | 171  | 0.0685          |
| 0.3137        | 4.0   | 172  | 0.0677          |
| 0.1661        | 4.02  | 173  | 0.0668          |
| 0.0944        | 4.05  | 174  | 0.0658          |
| 0.2131        | 4.07  | 175  | 0.0649          |
| 0.1349        | 4.09  | 176  | 0.0638          |
| 0.2231        | 4.12  | 177  | 0.0627          |
| 0.2046        | 4.14  | 178  | 0.0618          |
| 0.1806        | 4.16  | 179  | 0.0609          |
| 0.1463        | 4.19  | 180  | 0.0601          |
| 0.1696        | 4.21  | 181  | 0.0593          |
| 0.1271        | 4.23  | 182  | 0.0584          |
| 0.132         | 4.26  | 183  | 0.0575          |
| 0.1295        | 4.28  | 184  | 0.0566          |
| 0.182         | 4.3   | 185  | 0.0557          |
| 0.1896        | 4.33  | 186  | 0.0548          |
| 0.1694        | 4.35  | 187  | 0.0540          |
| 0.2121        | 4.37  | 188  | 0.0534          |
| 0.1299        | 4.4   | 189  | 0.0530          |
| 0.1471        | 4.42  | 190  | 0.0523          |
| 0.0996        | 4.44  | 191  | 0.0518          |
| 0.2355        | 4.47  | 192  | 0.0514          |
| 0.1295        | 4.49  | 193  | 0.0511          |
| 0.1528        | 4.51  | 194  | 0.0508          |
| 0.1407        | 4.53  | 195  | 0.0506          |
| 0.1246        | 4.56  | 196  | 0.0502          |
| 0.1635        | 4.58  | 197  | 0.0497          |
| 0.1935        | 4.6   | 198  | 0.0492          |
| 0.1354        | 4.63  | 199  | 0.0485          |
| 0.1051        | 4.65  | 200  | 0.0477          |
| 0.0837        | 4.67  | 201  | 0.0468          |
| 0.1822        | 4.7   | 202  | 0.0459          |
| 0.127         | 4.72  | 203  | 0.0450          |
| 0.1133        | 4.74  | 204  | 0.0443          |
| 0.1641        | 4.77  | 205  | 0.0435          |
| 0.1318        | 4.79  | 206  | 0.0428          |
| 0.1544        | 4.81  | 207  | 0.0421          |
| 0.1003        | 4.84  | 208  | 0.0413          |
| 0.1205        | 4.86  | 209  | 0.0406          |
| 0.1348        | 4.88  | 210  | 0.0399          |
| 0.0895        | 4.91  | 211  | 0.0393          |
| 0.095         | 4.93  | 212  | 0.0388          |
| 0.138         | 4.95  | 213  | 0.0383          |
| 0.117         | 4.98  | 214  | 0.0378          |
| 0.0997        | 5.0   | 215  | 0.0374          |
| 0.0989        | 5.02  | 216  | 0.0372          |
| 0.0973        | 5.05  | 217  | 0.0370          |
| 0.0848        | 5.07  | 218  | 0.0370          |
| 0.1232        | 5.09  | 219  | 0.0370          |
| 0.1271        | 5.12  | 220  | 0.0370          |
| 0.1636        | 5.14  | 221  | 0.0369          |
| 0.0893        | 5.16  | 222  | 0.0367          |
| 0.125         | 5.19  | 223  | 0.0364          |
| 0.1305        | 5.21  | 224  | 0.0360          |
| 0.091         | 5.23  | 225  | 0.0356          |
| 0.1198        | 5.26  | 226  | 0.0352          |
| 0.074         | 5.28  | 227  | 0.0346          |
| 0.1208        | 5.3   | 228  | 0.0340          |
| 0.1737        | 5.33  | 229  | 0.0334          |
| 0.1277        | 5.35  | 230  | 0.0326          |
| 0.0811        | 5.37  | 231  | 0.0317          |
| 0.0726        | 5.4   | 232  | 0.0310          |
| 0.0803        | 5.42  | 233  | 0.0304          |
| 0.0793        | 5.44  | 234  | 0.0299          |
| 0.0595        | 5.47  | 235  | 0.0296          |
| 0.0915        | 5.49  | 236  | 0.0293          |
| 0.1049        | 5.51  | 237  | 0.0291          |
| 0.1088        | 5.53  | 238  | 0.0289          |
| 0.1269        | 5.56  | 239  | 0.0287          |
| 0.0589        | 5.58  | 240  | 0.0286          |
| 0.1118        | 5.6   | 241  | 0.0285          |
| 0.0834        | 5.63  | 242  | 0.0283          |
| 0.1003        | 5.65  | 243  | 0.0280          |
| 0.0704        | 5.67  | 244  | 0.0278          |
| 0.0892        | 5.7   | 245  | 0.0275          |
| 0.1004        | 5.72  | 246  | 0.0273          |
| 0.119         | 5.74  | 247  | 0.0272          |
| 0.1096        | 5.77  | 248  | 0.0270          |
| 0.1554        | 5.79  | 249  | 0.0269          |
| 0.0903        | 5.81  | 250  | 0.0267          |
| 0.0829        | 5.84  | 251  | 0.0266          |
| 0.1561        | 5.86  | 252  | 0.0265          |
| 0.0707        | 5.88  | 253  | 0.0264          |
| 0.1329        | 5.91  | 254  | 0.0262          |
| 0.104         | 5.93  | 255  | 0.0256          |
| 0.0873        | 5.95  | 256  | 0.0250          |
| 0.0954        | 5.98  | 257  | 0.0245          |
| 0.1387        | 6.0   | 258  | 0.0239          |
| 0.094         | 6.02  | 259  | 0.0234          |
| 0.0989        | 6.05  | 260  | 0.0231          |
| 0.1187        | 6.07  | 261  | 0.0228          |
| 0.1052        | 6.09  | 262  | 0.0226          |
| 0.0981        | 6.12  | 263  | 0.0225          |
| 0.0529        | 6.14  | 264  | 0.0225          |
| 0.0757        | 6.16  | 265  | 0.0225          |
| 0.0742        | 6.19  | 266  | 0.0224          |
| 0.0532        | 6.21  | 267  | 0.0223          |
| 0.0487        | 6.23  | 268  | 0.0223          |
| 0.0899        | 6.26  | 269  | 0.0222          |
| 0.0479        | 6.28  | 270  | 0.0222          |
| 0.1019        | 6.3   | 271  | 0.0221          |
| 0.0422        | 6.33  | 272  | 0.0218          |
| 0.0581        | 6.35  | 273  | 0.0216          |
| 0.0725        | 6.37  | 274  | 0.0214          |
| 0.0703        | 6.4   | 275  | 0.0211          |
| 0.0943        | 6.42  | 276  | 0.0209          |
| 0.0732        | 6.44  | 277  | 0.0207          |
| 0.072         | 6.47  | 278  | 0.0204          |
| 0.064         | 6.49  | 279  | 0.0201          |
| 0.0433        | 6.51  | 280  | 0.0199          |
| 0.0705        | 6.53  | 281  | 0.0197          |
| 0.0928        | 6.56  | 282  | 0.0195          |
| 0.067         | 6.58  | 283  | 0.0194          |
| 0.0527        | 6.6   | 284  | 0.0192          |
| 0.0771        | 6.63  | 285  | 0.0190          |
| 0.0934        | 6.65  | 286  | 0.0189          |
| 0.0687        | 6.67  | 287  | 0.0188          |
| 0.0915        | 6.7   | 288  | 0.0186          |
| 0.0729        | 6.72  | 289  | 0.0186          |
| 0.0966        | 6.74  | 290  | 0.0185          |
| 0.1624        | 6.77  | 291  | 0.0184          |
| 0.0735        | 6.79  | 292  | 0.0183          |
| 0.0664        | 6.81  | 293  | 0.0183          |
| 0.0718        | 6.84  | 294  | 0.0181          |
| 0.0455        | 6.86  | 295  | 0.0179          |
| 0.1095        | 6.88  | 296  | 0.0177          |
| 0.062         | 6.91  | 297  | 0.0176          |
| 0.0753        | 6.93  | 298  | 0.0174          |
| 0.0967        | 6.95  | 299  | 0.0172          |
| 0.0988        | 6.98  | 300  | 0.0171          |
| 0.0919        | 7.0   | 301  | 0.0169          |
| 0.0554        | 7.02  | 302  | 0.0167          |
| 0.0858        | 7.05  | 303  | 0.0166          |
| 0.092         | 7.07  | 304  | 0.0165          |
| 0.0299        | 7.09  | 305  | 0.0164          |
| 0.0933        | 7.12  | 306  | 0.0163          |
| 0.0764        | 7.14  | 307  | 0.0162          |
| 0.0657        | 7.16  | 308  | 0.0161          |
| 0.0563        | 7.19  | 309  | 0.0159          |
| 0.0893        | 7.21  | 310  | 0.0158          |
| 0.0988        | 7.23  | 311  | 0.0157          |
| 0.0574        | 7.26  | 312  | 0.0156          |
| 0.1329        | 7.28  | 313  | 0.0155          |
| 0.0853        | 7.3   | 314  | 0.0153          |
| 0.0585        | 7.33  | 315  | 0.0152          |
| 0.0747        | 7.35  | 316  | 0.0151          |
| 0.0494        | 7.37  | 317  | 0.0150          |
| 0.0368        | 7.4   | 318  | 0.0149          |
| 0.0907        | 7.42  | 319  | 0.0149          |
| 0.0698        | 7.44  | 320  | 0.0148          |
| 0.0571        | 7.47  | 321  | 0.0148          |
| 0.0456        | 7.49  | 322  | 0.0147          |
| 0.0492        | 7.51  | 323  | 0.0147          |
| 0.0686        | 7.53  | 324  | 0.0146          |
| 0.067         | 7.56  | 325  | 0.0145          |
| 0.0548        | 7.58  | 326  | 0.0144          |
| 0.0415        | 7.6   | 327  | 0.0143          |
| 0.0816        | 7.63  | 328  | 0.0143          |
| 0.0529        | 7.65  | 329  | 0.0142          |
| 0.0818        | 7.67  | 330  | 0.0142          |
| 0.0594        | 7.7   | 331  | 0.0142          |
| 0.0387        | 7.72  | 332  | 0.0141          |
| 0.0561        | 7.74  | 333  | 0.0141          |
| 0.0875        | 7.77  | 334  | 0.0140          |
| 0.0534        | 7.79  | 335  | 0.0140          |
| 0.052         | 7.81  | 336  | 0.0140          |
| 0.0894        | 7.84  | 337  | 0.0140          |
| 0.0384        | 7.86  | 338  | 0.0139          |
| 0.0353        | 7.88  | 339  | 0.0139          |
| 0.0843        | 7.91  | 340  | 0.0138          |
| 0.059         | 7.93  | 341  | 0.0138          |
| 0.0538        | 7.95  | 342  | 0.0138          |
| 0.0637        | 7.98  | 343  | 0.0137          |
| 0.0492        | 8.0   | 344  | 0.0137          |
| 0.0424        | 8.02  | 345  | 0.0137          |
| 0.0416        | 8.05  | 346  | 0.0136          |
| 0.0608        | 8.07  | 347  | 0.0135          |
| 0.0158        | 8.09  | 348  | 0.0135          |
| 0.0551        | 8.12  | 349  | 0.0134          |
| 0.0954        | 8.14  | 350  | 0.0134          |
| 0.0327        | 8.16  | 351  | 0.0133          |
| 0.0329        | 8.19  | 352  | 0.0133          |
| 0.0604        | 8.21  | 353  | 0.0133          |
| 0.0565        | 8.23  | 354  | 0.0133          |
| 0.0677        | 8.26  | 355  | 0.0133          |
| 0.0483        | 8.28  | 356  | 0.0133          |
| 0.0576        | 8.3   | 357  | 0.0133          |
| 0.0515        | 8.33  | 358  | 0.0132          |
| 0.0381        | 8.35  | 359  | 0.0132          |
| 0.0436        | 8.37  | 360  | 0.0132          |
| 0.0695        | 8.4   | 361  | 0.0132          |
| 0.0564        | 8.42  | 362  | 0.0132          |
| 0.0784        | 8.44  | 363  | 0.0132          |
| 0.0582        | 8.47  | 364  | 0.0132          |
| 0.0476        | 8.49  | 365  | 0.0132          |
| 0.1157        | 8.51  | 366  | 0.0131          |
| 0.0603        | 8.53  | 367  | 0.0131          |
| 0.05          | 8.56  | 368  | 0.0131          |
| 0.0428        | 8.58  | 369  | 0.0130          |
| 0.0283        | 8.6   | 370  | 0.0130          |
| 0.0726        | 8.63  | 371  | 0.0129          |
| 0.0681        | 8.65  | 372  | 0.0129          |
| 0.0753        | 8.67  | 373  | 0.0128          |
| 0.0813        | 8.7   | 374  | 0.0127          |
| 0.0592        | 8.72  | 375  | 0.0127          |
| 0.0602        | 8.74  | 376  | 0.0127          |
| 0.0552        | 8.77  | 377  | 0.0127          |
| 0.0547        | 8.79  | 378  | 0.0126          |
| 0.0777        | 8.81  | 379  | 0.0126          |
| 0.0719        | 8.84  | 380  | 0.0126          |
| 0.0641        | 8.86  | 381  | 0.0125          |
| 0.0326        | 8.88  | 382  | 0.0125          |
| 0.0431        | 8.91  | 383  | 0.0125          |
| 0.0813        | 8.93  | 384  | 0.0125          |
| 0.077         | 8.95  | 385  | 0.0125          |
| 0.1018        | 8.98  | 386  | 0.0125          |
| 0.0619        | 9.0   | 387  | 0.0125          |
| 0.0525        | 9.02  | 388  | 0.0125          |
| 0.0501        | 9.05  | 389  | 0.0125          |
| 0.057         | 9.07  | 390  | 0.0125          |
| 0.069         | 9.09  | 391  | 0.0125          |
| 0.0258        | 9.12  | 392  | 0.0125          |
| 0.0639        | 9.14  | 393  | 0.0125          |
| 0.0696        | 9.16  | 394  | 0.0125          |
| 0.0407        | 9.19  | 395  | 0.0125          |
| 0.0465        | 9.21  | 396  | 0.0124          |
| 0.084         | 9.23  | 397  | 0.0124          |
| 0.0483        | 9.26  | 398  | 0.0124          |
| 0.1181        | 9.28  | 399  | 0.0124          |
| 0.0383        | 9.3   | 400  | 0.0124          |
| 0.0574        | 9.33  | 401  | 0.0124          |
| 0.0475        | 9.35  | 402  | 0.0124          |
| 0.0549        | 9.37  | 403  | 0.0124          |
| 0.0594        | 9.4   | 404  | 0.0124          |
| 0.0428        | 9.42  | 405  | 0.0124          |
| 0.0825        | 9.44  | 406  | 0.0124          |
| 0.0617        | 9.47  | 407  | 0.0124          |
| 0.0584        | 9.49  | 408  | 0.0124          |
| 0.0579        | 9.51  | 409  | 0.0124          |
| 0.0521        | 9.53  | 410  | 0.0124          |
| 0.0703        | 9.56  | 411  | 0.0124          |
| 0.0279        | 9.58  | 412  | 0.0123          |
| 0.0469        | 9.6   | 413  | 0.0123          |
| 0.0492        | 9.63  | 414  | 0.0123          |
| 0.0308        | 9.65  | 415  | 0.0123          |
| 0.0342        | 9.67  | 416  | 0.0123          |
| 0.0486        | 9.7   | 417  | 0.0123          |
| 0.0284        | 9.72  | 418  | 0.0123          |
| 0.0325        | 9.74  | 419  | 0.0123          |
| 0.043         | 9.77  | 420  | 0.0123          |
| 0.0602        | 9.79  | 421  | 0.0123          |
| 0.0349        | 9.81  | 422  | 0.0122          |
| 0.0569        | 9.84  | 423  | 0.0122          |
| 0.0513        | 9.86  | 424  | 0.0122          |
| 0.0455        | 9.88  | 425  | 0.0122          |
| 0.0936        | 9.91  | 426  | 0.0122          |
| 0.0484        | 9.93  | 427  | 0.0122          |
| 0.0556        | 9.95  | 428  | 0.0122          |
| 0.0352        | 9.98  | 429  | 0.0122          |
| 0.0594        | 10.0  | 430  | 0.0122          |


### Framework versions

- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3

{"tags": ["generated_from_trainer"], "model-index": [{"name": "codebert-python-custom-functions-dataset-python", "results": []}]}
transformers pytorch roberta text-generation generated_from_trainer autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #roberta #text-generation #generated_from_trainer #autotrain_compatible #endpoints_compatible #region-us 

codebert-python-custom-functions-dataset-python
===============================================


This model is a fine-tuned version of neulab/codebert-python on the None dataset.
It achieves the following results on the evaluation set:


* Loss: 0.0122


Model description
-----------------


More information needed


Intended uses & limitations
---------------------------


More information needed


Training and evaluation data
----------------------------


More information needed


Training procedure
------------------


### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 2e-05
* train\_batch\_size: 8
* eval\_batch\_size: 8
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 10


### Training results



### Framework versions


* Transformers 4.28.1
* Pytorch 2.0.0+cu118
* Datasets 2.12.0
* Tokenizers 0.13.3



### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 2e-05
* train\_batch\_size: 8
* eval\_batch\_size: 8
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 10 ### Training results ### Framework versions


* Transformers 4.28.1
* Pytorch 2.0.0+cu118
* Datasets 2.12.0
* Tokenizers 0.13.3
TAGS
#transformers #pytorch #roberta #text-generation #generated_from_trainer #autotrain_compatible #endpoints_compatible #region-us 
 ### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 2e-05
* train\_batch\_size: 8
* eval\_batch\_size: 8
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 10 ### Training results ### Framework versions


* Transformers 4.28.1
* Pytorch 2.0.0+cu118
* Datasets 2.12.0
* Tokenizers 0.13.3