gecco-german-counseling-gelectra-large
This model is a fine-tuned version of deepset/gelectra-large on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.3342
- Accuracy: 0.7290
- F1: 0.4663
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: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 16
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 3.6182 | 1.0 | 20 | 3.4739 | 0.1710 | 0.0391 |
| 3.3872 | 2.0 | 40 | 3.1759 | 0.2742 | 0.0806 |
| 3.1164 | 3.0 | 60 | 2.8804 | 0.3774 | 0.1428 |
| 2.8264 | 4.0 | 80 | 2.5862 | 0.5290 | 0.2440 |
| 2.5488 | 5.0 | 100 | 2.3090 | 0.5871 | 0.2816 |
| 2.2554 | 6.0 | 120 | 2.0804 | 0.6194 | 0.3196 |
| 2.0363 | 7.0 | 140 | 1.9051 | 0.6452 | 0.3435 |
| 1.8361 | 8.0 | 160 | 1.7684 | 0.6677 | 0.3593 |
| 1.5928 | 9.0 | 180 | 1.6380 | 0.7 | 0.4038 |
| 1.5584 | 10.0 | 200 | 1.5519 | 0.7097 | 0.4142 |
| 1.3548 | 11.0 | 220 | 1.4832 | 0.7194 | 0.4325 |
| 1.2585 | 12.0 | 240 | 1.4253 | 0.7226 | 0.4530 |
| 1.209 | 13.0 | 260 | 1.3874 | 0.7194 | 0.4512 |
| 1.0846 | 14.0 | 280 | 1.3526 | 0.7323 | 0.4667 |
| 1.0705 | 15.0 | 300 | 1.3377 | 0.7258 | 0.4643 |
| 1.0137 | 16.0 | 320 | 1.3342 | 0.7290 | 0.4663 |
Framework versions
- Transformers 4.35.1
- Pytorch 1.10.1+cu111
- Datasets 2.14.7
- Tokenizers 0.14.1
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