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---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: distilbert-base-uncased-text-classification-v5
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-text-classification-v5
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: 0.2879
- F1: 0.8471
## 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: 10
### Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 1.3863 | 1.0 | 569 | 0.7220 | 0.4679 |
| 0.6212 | 2.0 | 1138 | 0.4596 | 0.6839 |
| 0.3746 | 3.0 | 1707 | 0.3441 | 0.7901 |
| 0.2685 | 4.0 | 2276 | 0.3036 | 0.8204 |
| 0.172 | 5.0 | 2845 | 0.2884 | 0.8289 |
| 0.1328 | 6.0 | 3414 | 0.2879 | 0.8471 |
| 0.1068 | 7.0 | 3983 | 0.2957 | 0.8400 |
| 0.0757 | 8.0 | 4552 | 0.2917 | 0.8464 |
| 0.0693 | 9.0 | 5121 | 0.2931 | 0.8404 |
| 0.0651 | 10.0 | 5690 | 0.2921 | 0.8428 |
### Framework versions
- Transformers 4.28.1
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.13.3
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