metadata
library_name: transformers
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: distilbert-helpdesk-sentiment
results: []
distilbert-helpdesk-sentiment
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: 0.0180
- Accuracy: 0.9853
- F1: 0.9853
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: 8
- eval_batch_size: 2
- 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: 6
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| No log | 1.1628 | 100 | 0.1238 | 0.9706 | 0.9704 |
| No log | 2.3256 | 200 | 0.0514 | 0.9853 | 0.9853 |
| No log | 3.4884 | 300 | 0.0122 | 1.0 | 1.0 |
| 0.2073 | 4.6512 | 400 | 0.0147 | 0.9853 | 0.9853 |
| 0.2073 | 5.8140 | 500 | 0.0180 | 0.9853 | 0.9853 |
Framework versions
- Transformers 4.49.0
- Pytorch 2.6.0+cu124
- Datasets 3.5.0
- Tokenizers 0.21.1