metadata
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: distilbert-base-uncased__subj__train-8-5
results: []
distilbert-base-uncased__subj__train-8-5
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: 0.6927
- Accuracy: 0.506
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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 50
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.7102 | 1.0 | 3 | 0.6790 | 0.75 |
| 0.6693 | 2.0 | 6 | 0.6831 | 0.75 |
| 0.6438 | 3.0 | 9 | 0.6876 | 0.75 |
| 0.6047 | 4.0 | 12 | 0.6970 | 0.75 |
| 0.547 | 5.0 | 15 | 0.7065 | 0.75 |
| 0.4885 | 6.0 | 18 | 0.7114 | 0.75 |
| 0.4601 | 7.0 | 21 | 0.7147 | 0.5 |
| 0.4017 | 8.0 | 24 | 0.7178 | 0.5 |
| 0.3474 | 9.0 | 27 | 0.7145 | 0.5 |
| 0.2624 | 10.0 | 30 | 0.7153 | 0.5 |
| 0.2175 | 11.0 | 33 | 0.7158 | 0.5 |
Framework versions
- Transformers 4.15.0
- Pytorch 1.10.2+cu102
- Datasets 1.18.2
- Tokenizers 0.10.3