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End of training

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README.md ADDED
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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: 20231008-5-distilbert-base-multilingual-cased-new
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+ results: []
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+ ---
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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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+
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+ # 20231008-5-distilbert-base-multilingual-cased-new
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+
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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: 0.5614
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+ - Loss: 1.9964
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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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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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Accuracy | Validation Loss |
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+ |:-------------:|:-----:|:----:|:--------:|:---------------:|
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+ | 2.9949 | 1.82 | 200 | 0.3868 | 2.5810 |
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+ | 2.5887 | 3.64 | 400 | 0.4463 | 2.5529 |
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+ | 2.3369 | 5.45 | 600 | 0.4665 | 2.4076 |
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+ | 2.2815 | 7.27 | 800 | 0.5133 | 2.2435 |
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+ | 2.1494 | 9.09 | 1000 | 0.5 | 2.1755 |
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+ | 2.0746 | 10.91 | 1200 | 0.5523 | 1.9893 |
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+ | 1.9617 | 12.73 | 1400 | 0.5648 | 1.8462 |
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+ | 1.9549 | 14.55 | 1600 | 0.5392 | 1.8725 |
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+ | 1.9192 | 16.36 | 1800 | 0.5605 | 2.0018 |
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+ | 1.8967 | 18.18 | 2000 | 0.6077 | 1.7557 |
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+ | 1.899 | 20.0 | 2200 | 0.5614 | 1.9964 |
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+
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+
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+ ### Framework versions
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+
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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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