pp-mod-subj2-transformer-0
This model is a fine-tuned version of on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.9272
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: 5e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 0
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- training_steps: 3052726
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 4.23 | 0.03 | 76320 | 4.2438 |
| 4.0263 | 1.03 | 152640 | 4.0737 |
| 3.9157 | 0.03 | 228960 | 4.0002 |
| 3.8485 | 1.03 | 305280 | 3.9594 |
| 3.8001 | 0.03 | 381600 | 3.9341 |
| 3.7527 | 1.03 | 457920 | 3.9196 |
| 3.7166 | 0.03 | 534240 | 3.9100 |
| 3.6843 | 1.03 | 610560 | 3.9041 |
| 3.6545 | 0.03 | 686880 | 3.8987 |
| 3.6331 | 0.03 | 763200 | 3.8965 |
| 3.6082 | 1.03 | 839520 | 3.8966 |
| 3.5866 | 0.03 | 915840 | 3.8960 |
| 3.5697 | 1.03 | 992160 | 3.8969 |
| 3.5533 | 0.03 | 1068480 | 3.8981 |
| 3.5345 | 1.03 | 1144800 | 3.8997 |
| 3.5217 | 0.03 | 1221120 | 3.9007 |
| 3.5078 | 1.03 | 1297440 | 3.9027 |
| 3.4974 | 0.03 | 1373760 | 3.9055 |
| 3.4829 | 0.03 | 1450080 | 3.9071 |
| 3.4733 | 1.03 | 1526400 | 3.9077 |
| 3.4673 | 0.03 | 1602720 | 3.9100 |
| 3.4523 | 1.03 | 1679040 | 3.9129 |
| 3.4403 | 0.03 | 1755360 | 3.9159 |
| 3.429 | 1.03 | 1831680 | 3.9174 |
| 3.414 | 0.03 | 1908000 | 3.9203 |
| 3.4064 | 1.03 | 1984320 | 3.9213 |
| 3.3913 | 0.03 | 2060640 | 3.9235 |
| 3.3795 | 0.03 | 2136960 | 3.9254 |
| 3.3707 | 1.03 | 2213280 | 3.9252 |
| 3.3603 | 0.03 | 2289600 | 3.9274 |
| 3.3471 | 1.03 | 2365920 | 3.9272 |
| 3.344 | 0.03 | 2442240 | 3.9295 |
| 3.3336 | 1.03 | 2518560 | 3.9303 |
| 3.3269 | 0.03 | 2594880 | 3.9306 |
| 3.315 | 1.03 | 2671200 | 3.9309 |
| 3.3104 | 0.03 | 2747520 | 3.9305 |
| 3.3066 | 1.03 | 2823840 | 3.9312 |
| 3.2963 | 0.03 | 2900160 | 3.9298 |
| 3.2876 | 0.03 | 2976480 | 3.9290 |
| 3.2804 | 1.02 | 3052726 | 3.9272 |
Framework versions
- Transformers 4.33.3
- Pytorch 2.0.1
- Datasets 2.12.0
- Tokenizers 0.13.3