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---
license: apache-2.0
base_model: bert-base-multilingual-cased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: 16class_combo_vth_new_pp_full_updated_tweet_13nov23_v1
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. -->
# 16class_combo_vth_new_pp_full_updated_tweet_13nov23_v1
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: 0.0420
- Accuracy: 0.9908
## 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: 11
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.5945 | 1.0 | 735 | 0.7331 | 0.7813 |
| 0.8273 | 2.0 | 1470 | 0.4370 | 0.8743 |
| 0.4943 | 3.0 | 2205 | 0.3176 | 0.9061 |
| 0.3995 | 4.0 | 2940 | 0.2252 | 0.9335 |
| 0.2712 | 5.0 | 3675 | 0.1714 | 0.9517 |
| 0.2352 | 6.0 | 4410 | 0.1183 | 0.9690 |
| 0.1794 | 7.0 | 5145 | 0.0823 | 0.9795 |
| 0.1361 | 8.0 | 5880 | 0.0634 | 0.9861 |
| 0.1111 | 9.0 | 6615 | 0.0514 | 0.9885 |
| 0.0891 | 10.0 | 7350 | 0.0440 | 0.9900 |
| 0.0675 | 11.0 | 8085 | 0.0420 | 0.9908 |
### Framework versions
- Transformers 4.35.0
- Pytorch 2.1.0+cu121
- Datasets 2.14.6
- Tokenizers 0.14.1
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