metadata
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: distilbert-base-uncased-finetuned-clinc
results: []
distilbert-base-uncased-finetuned-clinc
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: 0.7898
- Accuracy: 0.9174
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: 48
- eval_batch_size: 48
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 4.3042 | 1.0 | 318 | 3.2959 | 0.7242 |
| 2.6434 | 2.0 | 636 | 1.8861 | 0.8503 |
| 1.5703 | 3.0 | 954 | 1.1720 | 0.8910 |
| 1.0305 | 4.0 | 1272 | 0.8763 | 0.9139 |
| 0.8107 | 5.0 | 1590 | 0.7898 | 0.9174 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.2.0
- Datasets 2.19.0
- Tokenizers 0.15.2