|
---
|
|
license: apache-2.0
|
|
tags:
|
|
- generated_from_trainer
|
|
metrics:
|
|
- accuracy
|
|
base_model: bert-base-cased
|
|
model-index:
|
|
- name: mi-see-supermodel
|
|
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. -->
|
|
|
|
# mi-see-supermodel
|
|
|
|
This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on an unknown dataset.
|
|
It achieves the following results on the evaluation set:
|
|
- Loss: 1.4912
|
|
- Accuracy: 0.34
|
|
|
|
## 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: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
|
- lr_scheduler_type: linear
|
|
- num_epochs: 1
|
|
|
|
### Training results
|
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|
|
|:-------------:|:-----:|:----:|:---------------:|:--------:|
|
|
| 1.4775 | 0.13 | 5 | 1.6354 | 0.19 |
|
|
| 1.6511 | 0.26 | 10 | 1.6385 | 0.18 |
|
|
| 1.5773 | 0.39 | 15 | 1.5964 | 0.23 |
|
|
| 1.5297 | 0.53 | 20 | 1.5573 | 0.27 |
|
|
| 1.5219 | 0.66 | 25 | 1.5350 | 0.3 |
|
|
| 1.459 | 0.79 | 30 | 1.5178 | 0.32 |
|
|
| 1.5498 | 0.92 | 35 | 1.4912 | 0.34 |
|
|
|
|
|
|
### Framework versions
|
|
|
|
- Transformers 4.38.2
|
|
- Pytorch 2.3.0
|
|
- Datasets 2.18.0
|
|
- Tokenizers 0.15.1
|
|
|