File size: 1,940 Bytes
92af912 88ec336 92af912 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 |
---
license: apache-2.0
base_model: bert-base-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
- precision
- recall
- f1
model-index:
- name: BertALL
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. -->
# BertALL
This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4052
- Accuracy: 0.8834
- Precision: 0.8107
- Recall: 0.8046
- F1: 0.8040
- Top3: 0.9820
- Top3macro: 0.9594
## 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: 4
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 | Top3 | Top3macro |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|:---------:|:------:|:------:|:------:|:---------:|
| 0.5593 | 1.0 | 7566 | 0.5067 | 0.8363 | 0.7252 | 0.6802 | 0.6880 | 0.9642 | 0.9173 |
| 0.3827 | 2.0 | 15132 | 0.4301 | 0.8662 | 0.7785 | 0.7760 | 0.7727 | 0.9766 | 0.9457 |
| 0.2735 | 3.0 | 22698 | 0.4170 | 0.8760 | 0.7973 | 0.7949 | 0.7920 | 0.9816 | 0.9577 |
| 0.2132 | 4.0 | 30264 | 0.4437 | 0.8846 | 0.8048 | 0.8186 | 0.8105 | 0.9828 | 0.9607 |
### Framework versions
- Transformers 4.41.2
- Pytorch 2.1.2
- Datasets 2.2.1
- Tokenizers 0.19.1
|