End of training
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README.md
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---
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license: apache-2.0
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base_model: google-bert/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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- recall
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- f1
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- accuracy
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model-index:
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- name: m-bert
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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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# m-bert
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This model is a fine-tuned version of [google-bert/bert-base-multilingual-cased](https://huggingface.co/google-bert/bert-base-multilingual-cased) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.3141
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- Precison: 0.8543
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- Recall: 0.8566
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- F1: 0.8554
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- Accuracy: 0.8594
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- Jaccard: 0.7848
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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: 8
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- eval_batch_size: 8
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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: 3
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Precison | Recall | F1 | Accuracy | Jaccard |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:------:|:--------:|:-------:|
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| 0.4088 | 1.0 | 1513 | 0.3141 | 0.8543 | 0.8566 | 0.8554 | 0.8594 | 0.7848 |
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| 0.3328 | 2.0 | 3026 | 0.3161 | 0.8685 | 0.8530 | 0.8587 | 0.8656 | 0.8018 |
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| 0.2521 | 3.0 | 4539 | 0.3444 | 0.8729 | 0.8700 | 0.8714 | 0.8758 | 0.8105 |
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### Framework versions
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- Transformers 4.41.1
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- Pytorch 2.1.2
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- Datasets 2.19.1
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- Tokenizers 0.19.1
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model.safetensors
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size 709080904
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version https://git-lfs.github.com/spec/v1
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size 709080904
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runs/Jul20_14-28-04_7e74dd453faf/events.out.tfevents.1721486453.7e74dd453faf.34.1
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version https://git-lfs.github.com/spec/v1
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tokenizer.json
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"strategy": "LongestFirst",
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"stride": 0
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},
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"padding":
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"added_tokens": [
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{
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"id": 0,
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"strategy": "LongestFirst",
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"stride": 0
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"padding": {
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"strategy": "BatchLongest",
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"direction": "Right",
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"pad_to_multiple_of": null,
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"pad_id": 0,
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"pad_token": "[PAD]"
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},
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"added_tokens": [
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{
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"id": 0,
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