metadata
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
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: 0.1637
- Accuracy: 0.9556
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 |
|---|---|---|---|---|
| No log | 0.88 | 100 | 0.3860 | 0.8778 |
| No log | 1.77 | 200 | 0.2395 | 0.8889 |
| No log | 2.65 | 300 | 0.1317 | 0.9778 |
| No log | 3.54 | 400 | 0.1502 | 0.9667 |
| 0.3422 | 4.42 | 500 | 0.1437 | 0.9778 |
| 0.3422 | 5.31 | 600 | 0.1637 | 0.9556 |
Framework versions
- Transformers 4.33.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3