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# distilgpt2-custom-functions-dataset-python

This model is a fine-tuned version of [distilgpt2](https://huggingface.co/distilgpt2) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0449

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 3.2459        | 0.02  | 1    | 2.9042          |
| 3.145         | 0.05  | 2    | 2.7960          |
| 3.152         | 0.07  | 3    | 2.7130          |
| 2.8803        | 0.09  | 4    | 2.6500          |
| 3.0041        | 0.12  | 5    | 2.5872          |
| 2.9888        | 0.14  | 6    | 2.5306          |
| 2.8988        | 0.16  | 7    | 2.4758          |
| 2.8324        | 0.19  | 8    | 2.4277          |
| 2.7391        | 0.21  | 9    | 2.3884          |
| 2.5464        | 0.23  | 10   | 2.3563          |
| 2.7032        | 0.26  | 11   | 2.3296          |
| 2.5574        | 0.28  | 12   | 2.2887          |
| 2.4388        | 0.3   | 13   | 2.2435          |
| 2.4412        | 0.33  | 14   | 2.2067          |
| 2.5202        | 0.35  | 15   | 2.1748          |
| 2.539         | 0.37  | 16   | 2.1492          |
| 2.3816        | 0.4   | 17   | 2.1224          |
| 2.2194        | 0.42  | 18   | 2.0913          |
| 2.3143        | 0.44  | 19   | 2.0629          |
| 2.4338        | 0.47  | 20   | 2.0381          |
| 2.2438        | 0.49  | 21   | 2.0147          |
| 2.2331        | 0.51  | 22   | 1.9929          |
| 2.3193        | 0.53  | 23   | 1.9737          |
| 2.4079        | 0.56  | 24   | 1.9516          |
| 2.0871        | 0.58  | 25   | 1.9325          |
| 2.0421        | 0.6   | 26   | 1.9131          |
| 2.0962        | 0.63  | 27   | 1.8915          |
| 2.2952        | 0.65  | 28   | 1.8700          |
| 2.0131        | 0.67  | 29   | 1.8527          |
| 2.0945        | 0.7   | 30   | 1.8395          |
| 2.0249        | 0.72  | 31   | 1.8241          |
| 1.7714        | 0.74  | 32   | 1.8035          |
| 2.1155        | 0.77  | 33   | 1.7834          |
| 2.0701        | 0.79  | 34   | 1.7706          |
| 2.1761        | 0.81  | 35   | 1.7681          |
| 2.024         | 0.84  | 36   | 1.7678          |
| 2.0026        | 0.86  | 37   | 1.7592          |
| 1.9519        | 0.88  | 38   | 1.7403          |
| 2.0078        | 0.91  | 39   | 1.7192          |
| 2.0886        | 0.93  | 40   | 1.7038          |
| 1.9394        | 0.95  | 41   | 1.6932          |
| 1.9368        | 0.98  | 42   | 1.6838          |
| 1.9336        | 1.0   | 43   | 1.6746          |
| 1.9114        | 1.02  | 44   | 1.6668          |
| 1.6817        | 1.05  | 45   | 1.6600          |
| 1.7199        | 1.07  | 46   | 1.6530          |
| 2.1471        | 1.09  | 47   | 1.6443          |
| 1.876         | 1.12  | 48   | 1.6326          |
| 2.0242        | 1.14  | 49   | 1.6220          |
| 1.7853        | 1.16  | 50   | 1.6124          |
| 1.8848        | 1.19  | 51   | 1.6044          |
| 1.9169        | 1.21  | 52   | 1.5957          |
| 1.8757        | 1.23  | 53   | 1.5863          |
| 1.7563        | 1.26  | 54   | 1.5776          |
| 1.8712        | 1.28  | 55   | 1.5684          |
| 1.5925        | 1.3   | 56   | 1.5592          |
| 1.8532        | 1.33  | 57   | 1.5499          |
| 1.8703        | 1.35  | 58   | 1.5420          |
| 1.8791        | 1.37  | 59   | 1.5394          |
| 1.7589        | 1.4   | 60   | 1.5366          |
| 1.7686        | 1.42  | 61   | 1.5292          |
| 1.7732        | 1.44  | 62   | 1.5185          |
| 1.7275        | 1.47  | 63   | 1.5062          |
| 1.5971        | 1.49  | 64   | 1.4932          |
| 1.8588        | 1.51  | 65   | 1.4846          |
| 1.7586        | 1.53  | 66   | 1.4779          |
| 1.6546        | 1.56  | 67   | 1.4715          |
| 1.7612        | 1.58  | 68   | 1.4659          |
| 1.8496        | 1.6   | 69   | 1.4611          |
| 1.7064        | 1.63  | 70   | 1.4560          |
| 1.7603        | 1.65  | 71   | 1.4510          |
| 1.8635        | 1.67  | 72   | 1.4483          |
| 1.6867        | 1.7   | 73   | 1.4458          |
| 1.7442        | 1.72  | 74   | 1.4410          |
| 1.6289        | 1.74  | 75   | 1.4360          |
| 1.6314        | 1.77  | 76   | 1.4298          |
| 1.7503        | 1.79  | 77   | 1.4234          |
| 1.8372        | 1.81  | 78   | 1.4191          |
| 1.6873        | 1.84  | 79   | 1.4144          |
| 1.5076        | 1.86  | 80   | 1.4099          |
| 1.6742        | 1.88  | 81   | 1.4053          |
| 1.7419        | 1.91  | 82   | 1.4014          |
| 1.7564        | 1.93  | 83   | 1.3965          |
| 1.6603        | 1.95  | 84   | 1.3927          |
| 1.5957        | 1.98  | 85   | 1.3890          |
| 1.5423        | 2.0   | 86   | 1.3843          |
| 1.8173        | 2.02  | 87   | 1.3799          |
| 1.6287        | 2.05  | 88   | 1.3760          |
| 1.5382        | 2.07  | 89   | 1.3733          |
| 1.7807        | 2.09  | 90   | 1.3720          |
| 1.4352        | 2.12  | 91   | 1.3698          |
| 1.6497        | 2.14  | 92   | 1.3691          |
| 1.5239        | 2.16  | 93   | 1.3673          |
| 1.5729        | 2.19  | 94   | 1.3659          |
| 1.601         | 2.21  | 95   | 1.3638          |
| 1.5532        | 2.23  | 96   | 1.3605          |
| 1.6227        | 2.26  | 97   | 1.3579          |
| 1.4461        | 2.28  | 98   | 1.3540          |
| 1.6625        | 2.3   | 99   | 1.3497          |
| 1.4653        | 2.33  | 100  | 1.3454          |
| 1.5603        | 2.35  | 101  | 1.3407          |
| 1.6055        | 2.37  | 102  | 1.3369          |
| 1.688         | 2.4   | 103  | 1.3339          |
| 1.6214        | 2.42  | 104  | 1.3329          |
| 1.6715        | 2.44  | 105  | 1.3312          |
| 1.4717        | 2.47  | 106  | 1.3275          |
| 1.6041        | 2.49  | 107  | 1.3241          |
| 1.3908        | 2.51  | 108  | 1.3196          |
| 1.4255        | 2.53  | 109  | 1.3160          |
| 1.6491        | 2.56  | 110  | 1.3138          |
| 1.4839        | 2.58  | 111  | 1.3117          |
| 1.6332        | 2.6   | 112  | 1.3103          |
| 1.5875        | 2.63  | 113  | 1.3095          |
| 1.6515        | 2.65  | 114  | 1.3085          |
| 1.5876        | 2.67  | 115  | 1.3047          |
| 1.571         | 2.7   | 116  | 1.2994          |
| 1.5104        | 2.72  | 117  | 1.2942          |
| 1.5415        | 2.74  | 118  | 1.2912          |
| 1.5497        | 2.77  | 119  | 1.2890          |
| 1.4377        | 2.79  | 120  | 1.2866          |
| 1.6653        | 2.81  | 121  | 1.2837          |
| 1.8368        | 2.84  | 122  | 1.2820          |
| 1.3668        | 2.86  | 123  | 1.2807          |
| 1.5136        | 2.88  | 124  | 1.2790          |
| 1.4872        | 2.91  | 125  | 1.2770          |
| 1.5815        | 2.93  | 126  | 1.2747          |
| 1.5128        | 2.95  | 127  | 1.2733          |
| 1.6116        | 2.98  | 128  | 1.2718          |
| 1.1527        | 3.0   | 129  | 1.2696          |
| 1.7834        | 3.02  | 130  | 1.2659          |
| 1.4598        | 3.05  | 131  | 1.2609          |
| 1.3641        | 3.07  | 132  | 1.2572          |
| 1.3965        | 3.09  | 133  | 1.2533          |
| 1.5373        | 3.12  | 134  | 1.2502          |
| 1.5436        | 3.14  | 135  | 1.2475          |
| 1.4855        | 3.16  | 136  | 1.2462          |
| 1.4651        | 3.19  | 137  | 1.2450          |
| 1.5451        | 3.21  | 138  | 1.2424          |
| 1.371         | 3.23  | 139  | 1.2399          |
| 1.494         | 3.26  | 140  | 1.2363          |
| 1.4795        | 3.28  | 141  | 1.2334          |
| 1.4884        | 3.3   | 142  | 1.2316          |
| 1.3325        | 3.33  | 143  | 1.2296          |
| 1.4838        | 3.35  | 144  | 1.2270          |
| 1.6316        | 3.37  | 145  | 1.2246          |
| 1.7781        | 3.4   | 146  | 1.2223          |
| 1.5818        | 3.42  | 147  | 1.2199          |
| 1.3451        | 3.44  | 148  | 1.2181          |
| 1.3948        | 3.47  | 149  | 1.2159          |
| 1.3582        | 3.49  | 150  | 1.2141          |
| 1.308         | 3.51  | 151  | 1.2128          |
| 1.5047        | 3.53  | 152  | 1.2115          |
| 1.5315        | 3.56  | 153  | 1.2111          |
| 1.292         | 3.58  | 154  | 1.2100          |
| 1.3923        | 3.6   | 155  | 1.2087          |
| 1.4429        | 3.63  | 156  | 1.2072          |
| 1.4175        | 3.65  | 157  | 1.2053          |
| 1.2825        | 3.67  | 158  | 1.2027          |
| 1.6203        | 3.7   | 159  | 1.2009          |
| 1.3873        | 3.72  | 160  | 1.1996          |
| 1.3914        | 3.74  | 161  | 1.1979          |
| 1.397         | 3.77  | 162  | 1.1965          |
| 1.3203        | 3.79  | 163  | 1.1955          |
| 1.3472        | 3.81  | 164  | 1.1944          |
| 1.4608        | 3.84  | 165  | 1.1924          |
| 1.5623        | 3.86  | 166  | 1.1910          |
| 1.3188        | 3.88  | 167  | 1.1899          |
| 1.5339        | 3.91  | 168  | 1.1891          |
| 1.2599        | 3.93  | 169  | 1.1891          |
| 1.4341        | 3.95  | 170  | 1.1896          |
| 1.5623        | 3.98  | 171  | 1.1902          |
| 1.4875        | 4.0   | 172  | 1.1911          |
| 1.4397        | 4.02  | 173  | 1.1928          |
| 1.3585        | 4.05  | 174  | 1.1952          |
| 1.5946        | 4.07  | 175  | 1.1954          |
| 1.2969        | 4.09  | 176  | 1.1936          |
| 1.4746        | 4.12  | 177  | 1.1905          |
| 1.2995        | 4.14  | 178  | 1.1869          |
| 1.3867        | 4.16  | 179  | 1.1837          |
| 1.3056        | 4.19  | 180  | 1.1811          |
| 1.4109        | 4.21  | 181  | 1.1792          |
| 1.3159        | 4.23  | 182  | 1.1778          |
| 1.5643        | 4.26  | 183  | 1.1758          |
| 1.565         | 4.28  | 184  | 1.1742          |
| 1.3642        | 4.3   | 185  | 1.1725          |
| 1.2332        | 4.33  | 186  | 1.1713          |
| 1.4746        | 4.35  | 187  | 1.1706          |
| 1.6079        | 4.37  | 188  | 1.1706          |
| 1.4417        | 4.4   | 189  | 1.1710          |
| 1.5759        | 4.42  | 190  | 1.1716          |
| 1.4531        | 4.44  | 191  | 1.1730          |
| 1.1457        | 4.47  | 192  | 1.1725          |
| 1.3571        | 4.49  | 193  | 1.1699          |
| 1.3083        | 4.51  | 194  | 1.1667          |
| 1.4778        | 4.53  | 195  | 1.1629          |
| 1.4744        | 4.56  | 196  | 1.1596          |
| 1.3267        | 4.58  | 197  | 1.1576          |
| 1.3062        | 4.6   | 198  | 1.1559          |
| 1.4942        | 4.63  | 199  | 1.1541          |
| 1.3481        | 4.65  | 200  | 1.1523          |
| 1.336         | 4.67  | 201  | 1.1504          |
| 1.178         | 4.7   | 202  | 1.1484          |
| 1.4255        | 4.72  | 203  | 1.1470          |
| 1.2686        | 4.74  | 204  | 1.1463          |
| 1.2701        | 4.77  | 205  | 1.1462          |
| 1.4147        | 4.79  | 206  | 1.1471          |
| 1.1865        | 4.81  | 207  | 1.1472          |
| 1.6298        | 4.84  | 208  | 1.1466          |
| 1.4168        | 4.86  | 209  | 1.1448          |
| 1.2948        | 4.88  | 210  | 1.1428          |
| 1.3592        | 4.91  | 211  | 1.1403          |
| 1.1308        | 4.93  | 212  | 1.1380          |
| 1.4951        | 4.95  | 213  | 1.1365          |
| 1.2861        | 4.98  | 214  | 1.1356          |
| 1.5495        | 5.0   | 215  | 1.1353          |
| 1.3874        | 5.02  | 216  | 1.1352          |
| 1.4681        | 5.05  | 217  | 1.1352          |
| 1.3233        | 5.07  | 218  | 1.1348          |
| 1.3016        | 5.09  | 219  | 1.1342          |
| 1.1397        | 5.12  | 220  | 1.1336          |
| 1.4272        | 5.14  | 221  | 1.1335          |
| 1.2665        | 5.16  | 222  | 1.1340          |
| 1.3082        | 5.19  | 223  | 1.1344          |
| 1.3535        | 5.21  | 224  | 1.1344          |
| 1.3061        | 5.23  | 225  | 1.1335          |
| 1.6763        | 5.26  | 226  | 1.1323          |
| 1.364         | 5.28  | 227  | 1.1309          |
| 1.3174        | 5.3   | 228  | 1.1295          |
| 1.392         | 5.33  | 229  | 1.1283          |
| 1.2964        | 5.35  | 230  | 1.1268          |
| 1.4763        | 5.37  | 231  | 1.1254          |
| 1.5131        | 5.4   | 232  | 1.1246          |
| 1.3607        | 5.42  | 233  | 1.1236          |
| 1.1999        | 5.44  | 234  | 1.1220          |
| 1.3008        | 5.47  | 235  | 1.1198          |
| 1.4308        | 5.49  | 236  | 1.1182          |
| 1.3658        | 5.51  | 237  | 1.1169          |
| 1.237         | 5.53  | 238  | 1.1162          |
| 1.2438        | 5.56  | 239  | 1.1157          |
| 1.2446        | 5.58  | 240  | 1.1148          |
| 1.1169        | 5.6   | 241  | 1.1144          |
| 1.1357        | 5.63  | 242  | 1.1138          |
| 1.2117        | 5.65  | 243  | 1.1135          |
| 1.6094        | 5.67  | 244  | 1.1132          |
| 1.4128        | 5.7   | 245  | 1.1121          |
| 1.1179        | 5.72  | 246  | 1.1108          |
| 1.5971        | 5.74  | 247  | 1.1090          |
| 1.4945        | 5.77  | 248  | 1.1075          |
| 1.3786        | 5.79  | 249  | 1.1064          |
| 1.2543        | 5.81  | 250  | 1.1055          |
| 1.2173        | 5.84  | 251  | 1.1051          |
| 1.2902        | 5.86  | 252  | 1.1045          |
| 1.349         | 5.88  | 253  | 1.1040          |
| 1.4361        | 5.91  | 254  | 1.1039          |
| 1.2974        | 5.93  | 255  | 1.1043          |
| 1.3718        | 5.95  | 256  | 1.1054          |
| 1.3251        | 5.98  | 257  | 1.1058          |
| 1.0946        | 6.0   | 258  | 1.1054          |
| 1.5179        | 6.02  | 259  | 1.1044          |
| 1.2111        | 6.05  | 260  | 1.1029          |
| 1.2518        | 6.07  | 261  | 1.1017          |
| 1.3981        | 6.09  | 262  | 1.1007          |
| 1.2579        | 6.12  | 263  | 1.0997          |
| 1.3362        | 6.14  | 264  | 1.0988          |
| 1.3431        | 6.16  | 265  | 1.0979          |
| 1.1871        | 6.19  | 266  | 1.0966          |
| 1.3084        | 6.21  | 267  | 1.0955          |
| 1.274         | 6.23  | 268  | 1.0943          |
| 1.3527        | 6.26  | 269  | 1.0930          |
| 1.1882        | 6.28  | 270  | 1.0921          |
| 1.4504        | 6.3   | 271  | 1.0914          |
| 1.2413        | 6.33  | 272  | 1.0907          |
| 1.3834        | 6.35  | 273  | 1.0905          |
| 1.4718        | 6.37  | 274  | 1.0902          |
| 1.2267        | 6.4   | 275  | 1.0900          |
| 1.2695        | 6.42  | 276  | 1.0903          |
| 1.3234        | 6.44  | 277  | 1.0900          |
| 1.3627        | 6.47  | 278  | 1.0897          |
| 1.261         | 6.49  | 279  | 1.0893          |
| 1.2832        | 6.51  | 280  | 1.0886          |
| 1.2676        | 6.53  | 281  | 1.0876          |
| 1.2157        | 6.56  | 282  | 1.0866          |
| 1.4472        | 6.58  | 283  | 1.0855          |
| 1.5994        | 6.6   | 284  | 1.0846          |
| 1.1464        | 6.63  | 285  | 1.0838          |
| 1.383         | 6.65  | 286  | 1.0832          |
| 1.3188        | 6.67  | 287  | 1.0828          |
| 1.1299        | 6.7   | 288  | 1.0825          |
| 1.332         | 6.72  | 289  | 1.0822          |
| 1.3761        | 6.74  | 290  | 1.0817          |
| 1.2563        | 6.77  | 291  | 1.0812          |
| 1.2101        | 6.79  | 292  | 1.0807          |
| 1.0416        | 6.81  | 293  | 1.0803          |
| 1.2677        | 6.84  | 294  | 1.0804          |
| 1.3173        | 6.86  | 295  | 1.0804          |
| 1.276         | 6.88  | 296  | 1.0809          |
| 1.3172        | 6.91  | 297  | 1.0819          |
| 1.3541        | 6.93  | 298  | 1.0829          |
| 1.167         | 6.95  | 299  | 1.0828          |
| 1.3084        | 6.98  | 300  | 1.0818          |
| 1.4632        | 7.0   | 301  | 1.0802          |
| 1.2737        | 7.02  | 302  | 1.0787          |
| 1.339         | 7.05  | 303  | 1.0771          |
| 1.2764        | 7.07  | 304  | 1.0755          |
| 1.1898        | 7.09  | 305  | 1.0738          |
| 1.0969        | 7.12  | 306  | 1.0725          |
| 1.3272        | 7.14  | 307  | 1.0713          |
| 1.3145        | 7.16  | 308  | 1.0706          |
| 1.3092        | 7.19  | 309  | 1.0700          |
| 1.4391        | 7.21  | 310  | 1.0693          |
| 1.3287        | 7.23  | 311  | 1.0687          |
| 1.1278        | 7.26  | 312  | 1.0678          |
| 1.3053        | 7.28  | 313  | 1.0669          |
| 1.3056        | 7.3   | 314  | 1.0661          |
| 1.2655        | 7.33  | 315  | 1.0654          |
| 1.2001        | 7.35  | 316  | 1.0652          |
| 1.2686        | 7.37  | 317  | 1.0652          |
| 1.2423        | 7.4   | 318  | 1.0655          |
| 1.2005        | 7.42  | 319  | 1.0660          |
| 1.2882        | 7.44  | 320  | 1.0662          |
| 1.2379        | 7.47  | 321  | 1.0662          |
| 1.1779        | 7.49  | 322  | 1.0656          |
| 1.2649        | 7.51  | 323  | 1.0654          |
| 1.3644        | 7.53  | 324  | 1.0654          |
| 1.3904        | 7.56  | 325  | 1.0653          |
| 1.1946        | 7.58  | 326  | 1.0647          |
| 1.3145        | 7.6   | 327  | 1.0643          |
| 1.3241        | 7.63  | 328  | 1.0641          |
| 1.2184        | 7.65  | 329  | 1.0636          |
| 1.3236        | 7.67  | 330  | 1.0633          |
| 1.1561        | 7.7   | 331  | 1.0630          |
| 1.1665        | 7.72  | 332  | 1.0628          |
| 1.1769        | 7.74  | 333  | 1.0626          |
| 1.3381        | 7.77  | 334  | 1.0623          |
| 1.3596        | 7.79  | 335  | 1.0620          |
| 1.2975        | 7.81  | 336  | 1.0615          |
| 1.3536        | 7.84  | 337  | 1.0610          |
| 1.2781        | 7.86  | 338  | 1.0606          |
| 1.3603        | 7.88  | 339  | 1.0602          |
| 1.3506        | 7.91  | 340  | 1.0598          |
| 1.2219        | 7.93  | 341  | 1.0596          |
| 1.3136        | 7.95  | 342  | 1.0595          |
| 1.4301        | 7.98  | 343  | 1.0596          |
| 1.2822        | 8.0   | 344  | 1.0595          |
| 1.3211        | 8.02  | 345  | 1.0592          |
| 1.1138        | 8.05  | 346  | 1.0591          |
| 1.3094        | 8.07  | 347  | 1.0589          |
| 1.3455        | 8.09  | 348  | 1.0586          |
| 1.1251        | 8.12  | 349  | 1.0582          |
| 1.1669        | 8.14  | 350  | 1.0577          |
| 1.2009        | 8.16  | 351  | 1.0572          |
| 1.2289        | 8.19  | 352  | 1.0570          |
| 1.294         | 8.21  | 353  | 1.0567          |
| 1.3906        | 8.23  | 354  | 1.0565          |
| 1.1368        | 8.26  | 355  | 1.0562          |
| 1.255         | 8.28  | 356  | 1.0560          |
| 1.2174        | 8.3   | 357  | 1.0557          |
| 1.3693        | 8.33  | 358  | 1.0553          |
| 1.3344        | 8.35  | 359  | 1.0549          |
| 1.4558        | 8.37  | 360  | 1.0546          |
| 1.3396        | 8.4   | 361  | 1.0543          |
| 1.0955        | 8.42  | 362  | 1.0541          |
| 1.2509        | 8.44  | 363  | 1.0539          |
| 1.1303        | 8.47  | 364  | 1.0538          |
| 1.2599        | 8.49  | 365  | 1.0537          |
| 1.1635        | 8.51  | 366  | 1.0536          |
| 1.2345        | 8.53  | 367  | 1.0534          |
| 1.2716        | 8.56  | 368  | 1.0534          |
| 1.3879        | 8.58  | 369  | 1.0533          |
| 1.2097        | 8.6   | 370  | 1.0532          |
| 1.2209        | 8.63  | 371  | 1.0533          |
| 1.3697        | 8.65  | 372  | 1.0536          |
| 1.2573        | 8.67  | 373  | 1.0539          |
| 1.251         | 8.7   | 374  | 1.0541          |
| 1.1992        | 8.72  | 375  | 1.0543          |
| 1.3785        | 8.74  | 376  | 1.0543          |
| 1.4019        | 8.77  | 377  | 1.0539          |
| 1.1751        | 8.79  | 378  | 1.0536          |
| 1.2954        | 8.81  | 379  | 1.0533          |
| 1.2145        | 8.84  | 380  | 1.0526          |
| 1.2806        | 8.86  | 381  | 1.0519          |
| 1.4749        | 8.88  | 382  | 1.0511          |
| 1.3058        | 8.91  | 383  | 1.0505          |
| 1.2426        | 8.93  | 384  | 1.0500          |
| 1.2222        | 8.95  | 385  | 1.0495          |
| 1.1779        | 8.98  | 386  | 1.0492          |
| 1.275         | 9.0   | 387  | 1.0489          |
| 1.3287        | 9.02  | 388  | 1.0487          |
| 1.4447        | 9.05  | 389  | 1.0486          |
| 1.3054        | 9.07  | 390  | 1.0484          |
| 1.2826        | 9.09  | 391  | 1.0481          |
| 1.1033        | 9.12  | 392  | 1.0479          |
| 1.3264        | 9.14  | 393  | 1.0477          |
| 1.2907        | 9.16  | 394  | 1.0475          |
| 1.2442        | 9.19  | 395  | 1.0473          |
| 1.1201        | 9.21  | 396  | 1.0472          |
| 1.3126        | 9.23  | 397  | 1.0470          |
| 1.1136        | 9.26  | 398  | 1.0469          |
| 1.1632        | 9.28  | 399  | 1.0468          |
| 1.1759        | 9.3   | 400  | 1.0466          |
| 1.3374        | 9.33  | 401  | 1.0466          |
| 1.2542        | 9.35  | 402  | 1.0465          |
| 0.9985        | 9.37  | 403  | 1.0465          |
| 1.0251        | 9.4   | 404  | 1.0465          |
| 1.2837        | 9.42  | 405  | 1.0464          |
| 1.4331        | 9.44  | 406  | 1.0463          |
| 1.3613        | 9.47  | 407  | 1.0462          |
| 1.3092        | 9.49  | 408  | 1.0461          |
| 1.2802        | 9.51  | 409  | 1.0460          |
| 1.199         | 9.53  | 410  | 1.0460          |
| 1.4372        | 9.56  | 411  | 1.0459          |
| 1.1819        | 9.58  | 412  | 1.0459          |
| 1.1887        | 9.6   | 413  | 1.0458          |
| 1.0923        | 9.63  | 414  | 1.0457          |
| 1.3018        | 9.65  | 415  | 1.0456          |
| 1.2139        | 9.67  | 416  | 1.0454          |
| 1.264         | 9.7   | 417  | 1.0453          |
| 1.276         | 9.72  | 418  | 1.0453          |
| 1.1202        | 9.74  | 419  | 1.0452          |
| 1.3544        | 9.77  | 420  | 1.0452          |
| 1.1664        | 9.79  | 421  | 1.0452          |
| 1.2598        | 9.81  | 422  | 1.0451          |
| 1.3336        | 9.84  | 423  | 1.0451          |
| 1.3495        | 9.86  | 424  | 1.0450          |
| 1.3178        | 9.88  | 425  | 1.0450          |
| 1.2631        | 9.91  | 426  | 1.0449          |
| 1.1517        | 9.93  | 427  | 1.0449          |
| 1.1755        | 9.95  | 428  | 1.0449          |
| 1.2306        | 9.98  | 429  | 1.0449          |
| 1.1321        | 10.0  | 430  | 1.0449          |


### Framework versions

- Transformers 4.29.2
- Pytorch 2.0.1+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "model-index": [{"name": "distilgpt2-custom-functions-dataset-python", "results": []}]}
transformers pytorch gpt2 text-generation generated_from_trainer license:apache-2.0 autotrain_compatible endpoints_compatible text-generation-inference region:us
TAGS
#transformers #pytorch #gpt2 #text-generation #generated_from_trainer #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 

distilgpt2-custom-functions-dataset-python
==========================================


This model is a fine-tuned version of distilgpt2 on the None dataset.
It achieves the following results on the evaluation set:


* Loss: 1.0449


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 4.29.2
* Pytorch 2.0.1+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 4.29.2
* Pytorch 2.0.1+cu118
* Datasets 2.12.0
* Tokenizers 0.13.3
TAGS
#transformers #pytorch #gpt2 #text-generation #generated_from_trainer #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #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 4.29.2
* Pytorch 2.0.1+cu118
* Datasets 2.12.0
* Tokenizers 0.13.3