metadata
license: apache-2.0
base_model: bert-large-uncased
tags:
- generated_from_trainer
model-index:
- name: bert-large-22
results: []
bert-large-22
This model is a fine-tuned version of bert-large-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 5.9292
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: 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: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 6.0375 | 0.09 | 5 | 6.0219 |
| 6.0415 | 0.18 | 10 | 6.0159 |
| 6.0408 | 0.27 | 15 | 6.0100 |
| 5.9961 | 0.36 | 20 | 6.0042 |
| 6.0668 | 0.45 | 25 | 5.9988 |
| 6.0106 | 0.55 | 30 | 5.9936 |
| 6.0434 | 0.64 | 35 | 5.9886 |
| 5.9975 | 0.73 | 40 | 5.9838 |
| 6.025 | 0.82 | 45 | 5.9792 |
| 5.9994 | 0.91 | 50 | 5.9746 |
| 5.9914 | 1.0 | 55 | 5.9704 |
| 5.9746 | 1.09 | 60 | 5.9667 |
| 5.9869 | 1.18 | 65 | 5.9629 |
| 5.9517 | 1.27 | 70 | 5.9593 |
| 5.9952 | 1.36 | 75 | 5.9562 |
| 5.9493 | 1.45 | 80 | 5.9531 |
| 5.9658 | 1.55 | 85 | 5.9503 |
| 5.9816 | 1.64 | 90 | 5.9480 |
| 5.9311 | 1.73 | 95 | 5.9456 |
| 5.9632 | 1.82 | 100 | 5.9433 |
| 5.9399 | 1.91 | 105 | 5.9413 |
| 5.935 | 2.0 | 110 | 5.9393 |
| 5.9181 | 2.09 | 115 | 5.9375 |
| 5.8885 | 2.18 | 120 | 5.9360 |
| 5.9249 | 2.27 | 125 | 5.9344 |
| 5.9314 | 2.36 | 130 | 5.9335 |
| 5.904 | 2.45 | 135 | 5.9321 |
| 5.9061 | 2.55 | 140 | 5.9313 |
| 5.932 | 2.64 | 145 | 5.9306 |
| 5.9327 | 2.73 | 150 | 5.9300 |
| 5.9391 | 2.82 | 155 | 5.9296 |
| 5.9608 | 2.91 | 160 | 5.9293 |
| 5.9388 | 3.0 | 165 | 5.9292 |
Framework versions
- Transformers 4.34.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.14.1