metadata
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- f1
- accuracy
model-index:
- name: skills-trainer
results: []
skills-trainer
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: 0.3105
- F1: 0.5057
- Roc Auc: 0.7025
- Accuracy: 0.7153
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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 | Roc Auc | Accuracy |
|---|---|---|---|---|---|---|
| No log | 1.0 | 360 | 0.2976 | 0.4 | 0.6366 | 0.6917 |
| 0.3239 | 2.0 | 720 | 0.2877 | 0.4625 | 0.6740 | 0.7097 |
| 0.2078 | 3.0 | 1080 | 0.3105 | 0.5057 | 0.7025 | 0.7153 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.13.1
- Datasets 2.10.0
- Tokenizers 0.13.2