metadata
license: apache-2.0
base_model: bert-base-uncased
tags:
- generated_from_trainer
model-index:
- name: bert-base-uncased-finetuned-wls-manual-9ep-lower
results: []
bert-base-uncased-finetuned-wls-manual-9ep-lower
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: 1.2788
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: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 9
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.1096 | 0.93 | 7 | 1.9445 |
| 1.5963 | 2.0 | 15 | 1.5711 |
| 1.4734 | 2.93 | 22 | 1.4391 |
| 1.3716 | 4.0 | 30 | 1.4138 |
| 1.2719 | 4.93 | 37 | 1.2480 |
| 1.2486 | 6.0 | 45 | 1.2483 |
| 1.2156 | 6.93 | 52 | 1.2662 |
| 1.1523 | 8.0 | 60 | 1.3172 |
| 1.1596 | 8.4 | 63 | 1.2467 |
Framework versions
- Transformers 4.31.0
- Pytorch 1.11.0+cu113
- Datasets 2.14.4
- Tokenizers 0.13.3