metadata
library_name: transformers
license: apache-2.0
base_model: distilbert/distilbert-base-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: ATSC
results: []
ATSC
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: 0.9021
- Accuracy: 0.6497
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: 1e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Use 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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.9519 | 1.0 | 113 | 0.9002 | 0.6497 |
| 0.9445 | 2.0 | 226 | 0.9034 | 0.6497 |
| 0.9412 | 3.0 | 339 | 0.8924 | 0.6497 |
| 0.9388 | 4.0 | 452 | 0.8920 | 0.6497 |
| 0.9369 | 5.0 | 565 | 0.8950 | 0.6497 |
| 0.9359 | 6.0 | 678 | 0.8957 | 0.6497 |
| 0.9327 | 7.0 | 791 | 0.8976 | 0.6497 |
| 0.9338 | 8.0 | 904 | 0.9006 | 0.6497 |
| 0.9312 | 9.0 | 1017 | 0.9013 | 0.6497 |
| 0.9317 | 10.0 | 1130 | 0.9021 | 0.6497 |
Framework versions
- Transformers 4.47.0
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0