|
|
--- |
|
|
library_name: transformers |
|
|
license: apache-2.0 |
|
|
base_model: google-bert/bert-base-cased |
|
|
tags: |
|
|
- generated_from_trainer |
|
|
model-index: |
|
|
- name: test_trainer |
|
|
results: [] |
|
|
--- |
|
|
|
|
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
|
|
should probably proofread and complete it, then remove this comment. --> |
|
|
|
|
|
# test_trainer |
|
|
|
|
|
This model is a fine-tuned version of [google-bert/bert-base-cased](https://huggingface.co/google-bert/bert-base-cased) on an unknown dataset. |
|
|
It achieves the following results on the evaluation set: |
|
|
- Loss: 1.4485 |
|
|
|
|
|
## 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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
|
|
- lr_scheduler_type: linear |
|
|
- training_steps: 200 |
|
|
|
|
|
### Training results |
|
|
|
|
|
| Training Loss | Epoch | Step | Validation Loss | |
|
|
|:-------------:|:-----:|:----:|:---------------:| |
|
|
| 0.1928 | 0.16 | 20 | 1.7267 | |
|
|
| 0.0765 | 0.32 | 40 | 2.2667 | |
|
|
| 0.1415 | 0.48 | 60 | 2.4675 | |
|
|
| 0.8414 | 0.64 | 80 | 2.5346 | |
|
|
| 1.4214 | 0.8 | 100 | 1.4516 | |
|
|
| 1.3342 | 0.96 | 120 | 1.1893 | |
|
|
| 0.707 | 1.12 | 140 | 1.1221 | |
|
|
| 0.2296 | 1.28 | 160 | 1.3310 | |
|
|
| 0.7034 | 1.44 | 180 | 1.4380 | |
|
|
| 0.6004 | 1.6 | 200 | 1.4485 | |
|
|
|
|
|
|
|
|
### Framework versions |
|
|
|
|
|
- Transformers 4.46.2 |
|
|
- Pytorch 2.3.1+cu121 |
|
|
- Datasets 3.1.0 |
|
|
- Tokenizers 0.20.3 |
|
|
|
