metadata
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: maestroqa-distilbert-negative-sentiment
results: []
maestroqa-distilbert-negative-sentiment
This model is a fine-tuned version of distilbert-base-uncased-finetuned-sst-2-english on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.8880
- Accuracy: 0.77
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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 100 | 0.5659 | 0.73 |
| No log | 2.0 | 200 | 0.5930 | 0.76 |
| No log | 3.0 | 300 | 0.7645 | 0.76 |
| No log | 4.0 | 400 | 0.8880 | 0.77 |
| 0.267 | 5.0 | 500 | 0.9724 | 0.77 |
Framework versions
- Transformers 4.25.1
- Pytorch 2.0.0
- Datasets 2.10.1
- Tokenizers 0.13.2