metadata
license: apache-2.0
base_model: bert-base-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: summerschool-1layer-distill-irony
results: []
summerschool-1layer-distill-irony
This model is a fine-tuned version of bert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.6811
- Accuracy: 0.5226
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: 0.0001
- 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: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.5919 | 0.1776 | 100 | 0.5602 | 0.718 |
| 0.5094 | 0.3552 | 200 | 0.5458 | 0.722 |
| 0.458 | 0.5329 | 300 | 0.5431 | 0.758 |
| 0.4826 | 0.7105 | 400 | 0.5628 | 0.758 |
| 0.4127 | 0.8881 | 500 | 0.5009 | 0.751 |
| 0.3931 | 1.0657 | 600 | 0.5868 | 0.751 |
| 0.287 | 1.2433 | 700 | 0.6045 | 0.767 |
| 0.262 | 1.4210 | 800 | 0.5380 | 0.771 |
| 0.2592 | 1.5986 | 900 | 0.5837 | 0.779 |
| 0.2711 | 1.7762 | 1000 | 0.5107 | 0.782 |
| 0.276 | 1.9538 | 1100 | 0.4911 | 0.796 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1