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README.md
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---
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license: apache-2.0
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base_model: bert-base-multilingual-uncased
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tags:
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- generated_from_trainer
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metrics:
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- accuracy
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model-index:
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- name: ternary_support_eval_base_227_voices_transcriptions
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# ternary_support_eval_base_227_voices_transcriptions
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This model is a fine-tuned version of [bert-base-multilingual-uncased](https://huggingface.co/bert-base-multilingual-uncased) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.5979
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- Accuracy: 0.9130
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- F1 Score: 0.8919
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 4e-05
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- train_batch_size: 1
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- eval_batch_size: 1
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 10
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 Score |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|
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| 1.2416 | 1.0 | 204 | 1.3783 | 0.6957 | 0.5708 |
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| 1.2416 | 2.0 | 408 | 1.4377 | 0.6957 | 0.5708 |
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| 1.4314 | 3.0 | 612 | 1.4118 | 0.6957 | 0.5708 |
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| 1.4314 | 4.0 | 816 | 1.2822 | 0.6957 | 0.5708 |
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| 1.3906 | 5.0 | 1020 | 1.3876 | 0.6957 | 0.5708 |
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| 1.3906 | 6.0 | 1224 | 0.9901 | 0.7391 | 0.7152 |
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| 1.3906 | 7.0 | 1428 | 0.7957 | 0.8261 | 0.8116 |
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| 1.0941 | 8.0 | 1632 | 0.8328 | 0.8696 | 0.8498 |
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| 1.0941 | 9.0 | 1836 | 0.5979 | 0.9130 | 0.8919 |
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| 0.5454 | 10.0 | 2040 | 0.6083 | 0.9130 | 0.8919 |
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### Framework versions
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- Transformers 4.35.0
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- Pytorch 2.1.0+cu118
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- Datasets 2.14.6
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- Tokenizers 0.14.1
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