metadata
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
base_model: distilbert-base-uncased
model-index:
- name: distilbert-base-uncased-finetuned-ft650_10class
results: []
distilbert-base-uncased-finetuned-ft650_10class
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: 1.9674
- Accuracy: 0.2207
- F1: 0.2002
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: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 2.1088 | 1.0 | 188 | 2.0460 | 0.1807 | 0.1324 |
| 1.9628 | 2.0 | 376 | 1.9867 | 0.2173 | 0.1821 |
| 1.8966 | 3.0 | 564 | 1.9693 | 0.2193 | 0.1936 |
| 1.8399 | 4.0 | 752 | 1.9674 | 0.2207 | 0.2002 |
Framework versions
- Transformers 4.20.1
- Pytorch 1.11.0+cu113
- Datasets 2.3.2
- Tokenizers 0.12.1