license: apache-2.0 | |
tags: | |
- generated_from_trainer | |
metrics: | |
- accuracy | |
base_model: distilbert-base-uncased | |
model-index: | |
- name: distilbert-base-uncased-finetuned-tagesschau-subcategories | |
results: [] | |
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# distilbert-base-uncased-finetuned-tagesschau-subcategories | |
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset. | |
It achieves the following results on the evaluation set: | |
- Loss: 0.7723 | |
- Accuracy: 0.7267 | |
## 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: 16 | |
- eval_batch_size: 16 | |
- seed: 42 | |
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
- lr_scheduler_type: linear | |
- num_epochs: 5 | |
### Training results | |
| Training Loss | Epoch | Step | Validation Loss | Accuracy | | |
|:-------------:|:-----:|:----:|:---------------:|:--------:| | |
| No log | 0.4 | 30 | 1.3433 | 0.5667 | | |
| No log | 0.8 | 60 | 1.0861 | 0.6933 | | |
| No log | 1.2 | 90 | 0.9395 | 0.7067 | | |
| No log | 1.6 | 120 | 0.8647 | 0.68 | | |
| No log | 2.0 | 150 | 0.8018 | 0.72 | | |
| No log | 2.4 | 180 | 0.7723 | 0.7267 | | |
| No log | 2.8 | 210 | 0.7616 | 0.72 | | |
| No log | 3.2 | 240 | 0.7348 | 0.7067 | | |
| No log | 3.6 | 270 | 0.7747 | 0.72 | | |
### Framework versions | |
- Transformers 4.25.1 | |
- Pytorch 1.12.1+cu113 | |
- Datasets 2.7.1 | |
- Tokenizers 0.13.2 | |