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--- |
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license: apache-2.0 |
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base_model: om-ashish-soni/pos-morph-analysis-eng |
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tags: |
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- generated_from_trainer |
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datasets: |
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- universal_dependencies |
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metrics: |
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- precision |
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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: pos-morph-analysis-eng |
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results: |
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- task: |
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name: Token Classification |
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type: token-classification |
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dataset: |
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name: universal_dependencies |
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type: universal_dependencies |
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config: en_lines |
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split: validation |
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args: en_lines |
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metrics: |
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- name: Precision |
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type: precision |
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value: 0.9547287488574655 |
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- name: Recall |
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type: recall |
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value: 0.9594229522368706 |
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- name: F1 |
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type: f1 |
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value: 0.957070094591317 |
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- name: Accuracy |
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type: accuracy |
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value: 0.9573510302580286 |
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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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# pos-morph-analysis-eng |
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This model is a fine-tuned version of [om-ashish-soni/pos-morph-analysis-eng](https://huggingface.co/om-ashish-soni/pos-morph-analysis-eng) on the universal_dependencies dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2354 |
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- Precision: 0.9547 |
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- Recall: 0.9594 |
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- F1: 0.9571 |
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- Accuracy: 0.9574 |
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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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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 32 |
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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: 8 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:| |
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| No log | 1.0 | 99 | 0.2425 | 0.9476 | 0.9523 | 0.9499 | 0.9505 | |
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| No log | 1.99 | 198 | 0.2253 | 0.9504 | 0.9553 | 0.9528 | 0.9540 | |
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| No log | 2.99 | 297 | 0.2273 | 0.9511 | 0.9565 | 0.9538 | 0.9548 | |
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| No log | 4.0 | 397 | 0.2348 | 0.9512 | 0.9559 | 0.9536 | 0.9541 | |
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| No log | 5.0 | 496 | 0.2294 | 0.9539 | 0.9586 | 0.9562 | 0.9574 | |
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| 0.0728 | 5.99 | 595 | 0.2319 | 0.9547 | 0.9594 | 0.9570 | 0.9574 | |
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| 0.0728 | 6.99 | 694 | 0.2405 | 0.9540 | 0.9585 | 0.9562 | 0.9566 | |
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| 0.0728 | 7.98 | 792 | 0.2354 | 0.9547 | 0.9594 | 0.9571 | 0.9574 | |
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### Framework versions |
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- Transformers 4.33.1 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.14.5 |
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- Tokenizers 0.13.3 |
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