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library_name: transformers
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: bert-tweeteval-distilbert
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. -->
# bert-tweeteval-distilbert
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: 1.3856
- Accuracy: 0.7701
- F1: 0.7191
## 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: 100
- seed: 15179996
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 20
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
| 0.6482 | 1.0 | 204 | 0.6140 | 0.7834 | 0.7183 |
| 0.4896 | 2.0 | 408 | 0.6577 | 0.7620 | 0.7002 |
| 0.3321 | 3.0 | 612 | 0.6471 | 0.7834 | 0.7244 |
| 0.1805 | 4.0 | 816 | 0.8309 | 0.7754 | 0.7145 |
| 0.0903 | 5.0 | 1020 | 0.9430 | 0.7647 | 0.7207 |
| 0.0523 | 6.0 | 1224 | 1.0135 | 0.7834 | 0.7260 |
| 0.0474 | 7.0 | 1428 | 1.1707 | 0.7567 | 0.7056 |
| 0.0514 | 8.0 | 1632 | 1.2040 | 0.7701 | 0.7232 |
| 0.0129 | 9.0 | 1836 | 1.3856 | 0.7701 | 0.7191 |
### Framework versions
- Transformers 5.0.0
- Pytorch 2.10.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.2
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