metadata
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: 0.2184
- Accuracy: 0.9444
- F1: 0.9438
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 6
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| No log | 0.8850 | 100 | 0.3924 | 0.8333 | 0.8306 |
| No log | 1.7699 | 200 | 0.2473 | 0.9111 | 0.9099 |
| No log | 2.6549 | 300 | 0.2417 | 0.9 | 0.8965 |
| No log | 3.5398 | 400 | 0.1576 | 0.9556 | 0.9552 |
| 0.3432 | 4.4248 | 500 | 0.1598 | 0.9556 | 0.9552 |
| 0.3432 | 5.3097 | 600 | 0.2184 | 0.9444 | 0.9438 |
Framework versions
- Transformers 4.41.1
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1