End of training
Browse files- README.md +69 -0
- pytorch_model.bin +1 -1
README.md
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---
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license: apache-2.0
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base_model: bert-base-multilingual-cased
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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: MAL-10epoch-BertMul
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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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# MAL-10epoch-BertMul
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This model is a fine-tuned version of [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.5565
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- Accuracy: 0.6981
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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: 2e-05
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- train_batch_size: 10
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- eval_batch_size: 10
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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 |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| No log | 1.0 | 8 | 0.6892 | 0.6981 |
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| No log | 2.0 | 16 | 0.5771 | 0.6981 |
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| No log | 3.0 | 24 | 0.5698 | 0.6981 |
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| No log | 4.0 | 32 | 0.5714 | 0.6981 |
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| No log | 5.0 | 40 | 0.5835 | 0.6981 |
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| No log | 6.0 | 48 | 0.5631 | 0.6981 |
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| No log | 7.0 | 56 | 0.5678 | 0.6981 |
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| No log | 8.0 | 64 | 0.5646 | 0.6981 |
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| No log | 9.0 | 72 | 0.5539 | 0.6981 |
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| No log | 10.0 | 80 | 0.5565 | 0.6981 |
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### Framework versions
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- Transformers 4.35.0.dev0
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- Pytorch 1.13.1
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- Datasets 2.14.5
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- Tokenizers 0.14.1
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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size 711491377
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version https://git-lfs.github.com/spec/v1
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size 711491377
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