metadata
library_name: transformers
license: apache-2.0
base_model: distilbert/distilbert-base-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: distilbert-base-uncased-classifier
results: []
distilbert-base-uncased-classifier
This model is a fine-tuned version of distilbert/distilbert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2548
- Accuracy: 0.9035
- F1: 0.8134
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: 32
- eval_batch_size: 32
- seed: 42
- 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: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| No log | 0 | 0 | 0.6325 | 0.7464 | 0.0 |
| No log | 0.2020 | 79 | 0.3489 | 0.8487 | 0.6624 |
| No log | 0.4041 | 158 | 0.3422 | 0.8559 | 0.7462 |
| No log | 0.6061 | 237 | 0.2983 | 0.8674 | 0.7444 |
| No log | 0.8082 | 316 | 0.2837 | 0.8862 | 0.7871 |
| No log | 1.0102 | 395 | 0.2743 | 0.8919 | 0.7967 |
| No log | 1.2123 | 474 | 0.2772 | 0.8934 | 0.7956 |
| 0.3453 | 1.4143 | 553 | 0.2552 | 0.9092 | 0.8245 |
| 0.3453 | 1.6164 | 632 | 0.2486 | 0.9006 | 0.8056 |
| 0.3453 | 1.8184 | 711 | 0.2548 | 0.9035 | 0.8134 |
Framework versions
- Transformers 4.51.3
- Pytorch 2.7.0+cu126
- Datasets 3.5.0
- Tokenizers 0.21.1