metadata
library_name: transformers
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: distilbert-base-uncased-distilled-clinc1
results: []
distilbert-base-uncased-distilled-clinc1
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1812
- Accuracy: 0.9481
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: 8.660546177438939e-05
- train_batch_size: 192
- eval_batch_size: 48
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=2.6899659744978047e-08
- lr_scheduler_type: linear
- num_epochs: 6
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 80 | 1.6569 | 0.8194 |
| No log | 2.0 | 160 | 0.5149 | 0.9213 |
| No log | 3.0 | 240 | 0.2568 | 0.9390 |
| 1.0457 | 4.0 | 320 | 0.2040 | 0.9455 |
| 1.0457 | 5.0 | 400 | 0.1861 | 0.9452 |
| 1.0457 | 6.0 | 480 | 0.1812 | 0.9481 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.2.2+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1