metadata
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: distilbert-base-uncased-finetuned-ft1500_norm300_aug5_10_8x
results: []
distilbert-base-uncased-finetuned-ft1500_norm300_aug5_10_8x
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.0667
- Mse: 4.2666
- Mae: 1.3594
- R2: 0.4759
- Accuracy: 0.3619
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: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Mse | Mae | R2 | Accuracy |
|---|---|---|---|---|---|---|---|
| 0.839 | 1.0 | 6364 | 1.0965 | 4.3859 | 1.5243 | 0.4613 | 0.2012 |
| 0.4412 | 2.0 | 12728 | 0.9976 | 3.9905 | 1.4462 | 0.5099 | 0.2473 |
| 0.2543 | 3.0 | 19092 | 1.0667 | 4.2666 | 1.3594 | 0.4759 | 0.3619 |
Framework versions
- Transformers 4.21.1
- Pytorch 1.12.1+cu113
- Datasets 2.4.0
- Tokenizers 0.12.1