End of training
Browse files- README.md +70 -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: distilbert-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: 20231008-2-distilbert-base-multilingual-cased-new
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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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# 20231008-2-distilbert-base-multilingual-cased-new
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This model is a fine-tuned version of [distilbert-base-multilingual-cased](https://huggingface.co/distilbert-base-multilingual-cased) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Accuracy: 0.5483
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- Loss: 1.8877
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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: 32
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- eval_batch_size: 32
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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: 20
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### Training results
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| Training Loss | Epoch | Step | Accuracy | Validation Loss |
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|:-------------:|:-----:|:----:|:--------:|:---------------:|
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| 2.9855 | 1.82 | 200 | 0.3753 | 2.6688 |
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| 2.5641 | 3.64 | 400 | 0.436 | 2.2769 |
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| 2.385 | 5.45 | 600 | 0.4970 | 2.3584 |
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| 2.2444 | 7.27 | 800 | 0.5095 | 1.9800 |
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| 2.1422 | 9.09 | 1000 | 0.5072 | 2.1302 |
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| 2.0398 | 10.91 | 1200 | 0.5717 | 1.9107 |
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| 2.0215 | 12.73 | 1400 | 0.5435 | 1.9803 |
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| 1.9611 | 14.55 | 1600 | 0.5678 | 1.9622 |
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| 1.928 | 16.36 | 1800 | 0.5253 | 1.9510 |
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| 1.8712 | 18.18 | 2000 | 0.5711 | 1.6620 |
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| 1.8322 | 20.0 | 2200 | 0.5483 | 1.8877 |
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### Framework versions
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- Transformers 4.34.0
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- Pytorch 2.0.1+cu118
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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 541818929
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version https://git-lfs.github.com/spec/v1
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size 541818929
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