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Regression_Albert_2
This model is a fine-tuned version of albert-base-v2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.4677
- Mse: 3.4677
- Mae: 1.6443
- R2: -0.7892
- Accuracy: 0.1429
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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss | Mse | Mae | R2 | Accuracy |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 3 | 1.5252 | 1.5252 | 1.1112 | -0.4311 | 0.1429 |
| No log | 2.0 | 6 | 1.3872 | 1.3872 | 1.0182 | -0.3016 | 0.2857 |
| No log | 3.0 | 9 | 2.5294 | 2.5294 | 1.2286 | -1.3733 | 0.4286 |
| No log | 4.0 | 12 | 3.8938 | 3.8938 | 1.5973 | -2.6535 | 0.1429 |
| No log | 5.0 | 15 | 5.5535 | 5.5535 | 2.0657 | -4.2108 | 0.0 |
| No log | 6.0 | 18 | 7.0814 | 7.0814 | 2.3965 | -5.6444 | 0.0 |
| No log | 7.0 | 21 | 7.5510 | 7.5510 | 2.4797 | -6.0850 | 0.0 |
| No log | 8.0 | 24 | 6.6578 | 6.6578 | 2.2618 | -5.2469 | 0.0 |
| No log | 9.0 | 27 | 5.7320 | 5.7320 | 2.0266 | -4.3783 | 0.1429 |
| No log | 10.0 | 30 | 6.9700 | 6.9700 | 2.2615 | -5.5398 | 0.1429 |
| No log | 11.0 | 33 | 7.9965 | 7.9965 | 2.4660 | -6.5030 | 0.0 |
| No log | 12.0 | 36 | 7.7483 | 7.7483 | 2.4191 | -6.2700 | 0.0 |
| No log | 13.0 | 39 | 7.6652 | 7.6652 | 2.3991 | -6.1921 | 0.0 |
| No log | 14.0 | 42 | 7.7858 | 7.7858 | 2.4436 | -6.3053 | 0.0 |
| No log | 15.0 | 45 | 7.8747 | 7.8747 | 2.4527 | -6.3886 | 0.0 |
| No log | 16.0 | 48 | 7.6498 | 7.6498 | 2.4028 | -6.1776 | 0.0 |
| No log | 17.0 | 51 | 7.3543 | 7.3543 | 2.3428 | -5.9004 | 0.0 |
| No log | 18.0 | 54 | 7.3656 | 7.3656 | 2.3428 | -5.9110 | 0.0 |
| No log | 19.0 | 57 | 7.3185 | 7.3185 | 2.3360 | -5.8668 | 0.0 |
| No log | 20.0 | 60 | 7.3529 | 7.3529 | 2.3417 | -5.8990 | 0.0 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.9.0
- Tokenizers 0.13.2
