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: 20231008-3-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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# 20231008-3-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: 0.5585
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- Loss: 1.8969
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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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| 3.0355 | 1.82 | 200 | 0.3649 | 2.5361 |
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| 2.5432 | 3.64 | 400 | 0.4264 | 2.4729 |
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| 2.3986 | 5.45 | 600 | 0.4748 | 2.1543 |
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| 2.2755 | 7.27 | 800 | 0.5533 | 1.9309 |
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| 2.1743 | 9.09 | 1000 | 0.5165 | 2.1052 |
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| 2.1152 | 10.91 | 1200 | 0.5307 | 2.0024 |
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| 1.9368 | 12.73 | 1400 | 0.5820 | 1.7487 |
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| 1.989 | 14.55 | 1600 | 0.5507 | 1.9093 |
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| 1.8819 | 16.36 | 1800 | 0.5835 | 1.6382 |
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| 1.8822 | 18.18 | 2000 | 0.5873 | 1.7373 |
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| 1.8628 | 20.0 | 2200 | 0.5585 | 1.8969 |
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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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