|
--- |
|
license: apache-2.0 |
|
tags: |
|
- generated_from_trainer |
|
metrics: |
|
- accuracy |
|
model-index: |
|
- name: distilbert-base-uncased-finetuned-ft1500_norm300_aug5_10_8x |
|
results: [] |
|
--- |
|
|
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
|
should probably proofread and complete it, then remove this comment. --> |
|
|
|
# distilbert-base-uncased-finetuned-ft1500_norm300_aug5_10_8x |
|
|
|
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/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 |
|
|
