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nekta_ai_v1
This model is a fine-tuned version of webstels/nekta_ai_v1 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0032
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: 50
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 33 | 0.0113 |
| No log | 2.0 | 66 | 0.0113 |
| No log | 3.0 | 99 | 0.0092 |
| No log | 4.0 | 132 | 0.0097 |
| No log | 5.0 | 165 | 0.0087 |
| No log | 6.0 | 198 | 0.0104 |
| No log | 7.0 | 231 | 0.0077 |
| No log | 8.0 | 264 | 0.0091 |
| No log | 9.0 | 297 | 0.0073 |
| No log | 10.0 | 330 | 0.0106 |
| No log | 11.0 | 363 | 0.0093 |
| No log | 12.0 | 396 | 0.0071 |
| No log | 13.0 | 429 | 0.0056 |
| No log | 14.0 | 462 | 0.0086 |
| No log | 15.0 | 495 | 0.0065 |
| 0.0293 | 16.0 | 528 | 0.0053 |
| 0.0293 | 17.0 | 561 | 0.0051 |
| 0.0293 | 18.0 | 594 | 0.0047 |
| 0.0293 | 19.0 | 627 | 0.0064 |
| 0.0293 | 20.0 | 660 | 0.0067 |
| 0.0293 | 21.0 | 693 | 0.0050 |
| 0.0293 | 22.0 | 726 | 0.0039 |
| 0.0293 | 23.0 | 759 | 0.0044 |
| 0.0293 | 24.0 | 792 | 0.0045 |
| 0.0293 | 25.0 | 825 | 0.0042 |
| 0.0293 | 26.0 | 858 | 0.0038 |
| 0.0293 | 27.0 | 891 | 0.0043 |
| 0.0293 | 28.0 | 924 | 0.0046 |
| 0.0293 | 29.0 | 957 | 0.0040 |
| 0.0293 | 30.0 | 990 | 0.0043 |
| 0.0203 | 31.0 | 1023 | 0.0039 |
| 0.0203 | 32.0 | 1056 | 0.0037 |
| 0.0203 | 33.0 | 1089 | 0.0039 |
| 0.0203 | 34.0 | 1122 | 0.0034 |
| 0.0203 | 35.0 | 1155 | 0.0032 |
| 0.0203 | 36.0 | 1188 | 0.0031 |
| 0.0203 | 37.0 | 1221 | 0.0033 |
| 0.0203 | 38.0 | 1254 | 0.0037 |
| 0.0203 | 39.0 | 1287 | 0.0035 |
| 0.0203 | 40.0 | 1320 | 0.0038 |
| 0.0203 | 41.0 | 1353 | 0.0035 |
| 0.0203 | 42.0 | 1386 | 0.0034 |
| 0.0203 | 43.0 | 1419 | 0.0036 |
| 0.0203 | 44.0 | 1452 | 0.0037 |
| 0.0203 | 45.0 | 1485 | 0.0033 |
| 0.0208 | 46.0 | 1518 | 0.0032 |
| 0.0208 | 47.0 | 1551 | 0.0032 |
| 0.0208 | 48.0 | 1584 | 0.0031 |
| 0.0208 | 49.0 | 1617 | 0.0033 |
| 0.0208 | 50.0 | 1650 | 0.0032 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Tokenizers 0.13.3
