metadata
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: laptop_sentence_classfication
results: []
laptop_sentence_classfication
This model is a fine-tuned version of distilbert-base-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.6946
- Accuracy: 0.8
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 33 | 0.7876 | 0.6231 |
| No log | 2.0 | 66 | 0.6364 | 0.7308 |
| No log | 3.0 | 99 | 0.5647 | 0.7308 |
| No log | 4.0 | 132 | 0.5991 | 0.7846 |
| No log | 5.0 | 165 | 0.5773 | 0.7769 |
| No log | 6.0 | 198 | 0.5898 | 0.8 |
| No log | 7.0 | 231 | 0.7182 | 0.7769 |
| No log | 8.0 | 264 | 0.7451 | 0.7846 |
| No log | 9.0 | 297 | 0.7192 | 0.7923 |
| No log | 10.0 | 330 | 0.6946 | 0.8 |
Framework versions
- Transformers 4.29.2
- Pytorch 2.0.1+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3