End of training
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README.md
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model-index:
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- name: my_model
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results: []
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language:
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- fa
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pipeline_tag: token-classification
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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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This model is a fine-tuned version of [PartAI/TookaBERT-Base](https://huggingface.co/PartAI/TookaBERT-Base) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss:
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- Precision: 0.
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- Recall: 0.
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- F1: 0.
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- Accuracy: 0.
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## Model description
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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:
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- eval_batch_size:
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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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| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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| No log | 1.0 |
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| No log | 2.0 |
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| No log | 3.0 |
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### Framework versions
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- Transformers 4.42.4
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- Pytorch 2.3.1+cu121
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- Datasets 2.20.0
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- Tokenizers 0.19.1
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model-index:
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- name: my_model
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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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This model is a fine-tuned version of [PartAI/TookaBERT-Base](https://huggingface.co/PartAI/TookaBERT-Base) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.5927
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- Precision: 0.6667
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- Recall: 0.5455
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- F1: 0.6
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- Accuracy: 0.7660
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## Model description
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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: 1
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- eval_batch_size: 1
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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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| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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| No log | 1.0 | 10 | 2.1391 | 0.25 | 0.1818 | 0.2105 | 0.5532 |
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| No log | 2.0 | 20 | 1.7910 | 0.5556 | 0.4545 | 0.5 | 0.7447 |
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| No log | 3.0 | 30 | 1.5927 | 0.6667 | 0.5455 | 0.6 | 0.7660 |
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### Framework versions
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- Transformers 4.42.4
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- Pytorch 2.3.1+cu121
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- Datasets 2.20.0
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- Tokenizers 0.19.1
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model.safetensors
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runs/Aug05_23-32-34_0680ddc51f3a/events.out.tfevents.1722900755.0680ddc51f3a.231.3
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training_args.bin
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