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---
license: apache-2.0
base_model: bert-base-multilingual-cased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: 16_combo_bert_1409_v1_plus_othergreen
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. -->
# 16_combo_bert_1409_v1_plus_othergreen
This model is a fine-tuned version of [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6527
- Accuracy: 0.8328
## 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: 1e-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: 8
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log | 1.0 | 270 | 1.6861 | 0.4075 |
| 1.5192 | 2.0 | 540 | 1.1399 | 0.6591 |
| 1.5192 | 3.0 | 810 | 1.0636 | 0.6672 |
| 0.6636 | 4.0 | 1080 | 0.8126 | 0.7841 |
| 0.6636 | 5.0 | 1350 | 0.7421 | 0.8019 |
| 0.3933 | 6.0 | 1620 | 0.7070 | 0.8101 |
| 0.3933 | 7.0 | 1890 | 0.6786 | 0.8214 |
| 0.2737 | 8.0 | 2160 | 0.6527 | 0.8328 |
### Framework versions
- Transformers 4.33.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3
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