metadata
license: apache-2.0
base_model: distilbert/distilbert-base-uncased-finetuned-sst-2-english
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: sucidal-text-classification-distillbert
results: []
sucidal-text-classification-distillbert
This model is a fine-tuned version of distilbert/distilbert-base-uncased-finetuned-sst-2-english on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.4590
- Accuracy: 0.8198
- F1 Score: 0.8198
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: 5e-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
- lr_scheduler_warmup_steps: 500
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 Score |
|---|---|---|---|---|---|
| 0.3602 | 0.1885 | 500 | 0.7867 | 0.7670 | 0.7670 |
| 0.6285 | 0.3769 | 1000 | 0.5574 | 0.7795 | 0.7795 |
| 0.5624 | 0.5654 | 1500 | 0.5011 | 0.7988 | 0.7988 |
| 0.5413 | 0.7539 | 2000 | 0.4968 | 0.8017 | 0.8017 |
| 0.5084 | 0.9423 | 2500 | 0.4712 | 0.8085 | 0.8085 |
| 0.4253 | 1.1308 | 3000 | 0.4938 | 0.8053 | 0.8053 |
| 0.3915 | 1.3193 | 3500 | 0.4781 | 0.8136 | 0.8136 |
| 0.3739 | 1.5077 | 4000 | 0.5195 | 0.8043 | 0.8043 |
| 0.3638 | 1.6962 | 4500 | 0.4790 | 0.8201 | 0.8201 |
| 0.3667 | 1.8847 | 5000 | 0.4590 | 0.8198 | 0.8198 |
| 0.3182 | 2.0731 | 5500 | 0.5129 | 0.8218 | 0.8218 |
| 0.2325 | 2.2616 | 6000 | 0.5279 | 0.8198 | 0.8198 |
| 0.2318 | 2.4501 | 6500 | 0.5368 | 0.8197 | 0.8197 |
| 0.2219 | 2.6385 | 7000 | 0.5606 | 0.8221 | 0.8221 |
| 0.2261 | 2.8270 | 7500 | 0.5406 | 0.8229 | 0.8229 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1