Training Complete
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README.md
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metrics:
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- accuracy
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- f1
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model-index:
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- name: distilbert-base-uncased-finetuned_on_hata_dateset
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results:
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metrics:
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- name: Accuracy
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type: accuracy
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- name: F1
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type: f1
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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 [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on the hate_speech18 dataset.
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It achieves the following results on the evaluation set:
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- Loss:
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- Accuracy: 0.
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- F1: 0.
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## Model description
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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:
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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### Framework versions
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metrics:
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- accuracy
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- f1
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- recall
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- precision
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model-index:
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- name: distilbert-base-uncased-finetuned_on_hata_dateset
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results:
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.9178338001867413
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- name: F1
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type: f1
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value: 0.9154943774479662
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- name: Recall
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type: recall
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value: 0.9178338001867413
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- name: Precision
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type: precision
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value: 0.9137800286953446
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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 [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on the hate_speech18 dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.0451
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- Accuracy: 0.9178
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- F1: 0.9155
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- Recall: 0.9178
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- Precision: 0.9138
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## Model description
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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: 5
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Recall | Precision |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:------:|:---------:|
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| 0.3342 | 1.0 | 268 | 0.3774 | 0.8497 | 0.8702 | 0.8497 | 0.9131 |
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| 0.2411 | 2.0 | 536 | 0.4330 | 0.9020 | 0.9097 | 0.9020 | 0.9237 |
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| 0.1374 | 3.0 | 804 | 0.5690 | 0.8964 | 0.9050 | 0.8964 | 0.9206 |
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| 0.0804 | 4.0 | 1072 | 1.0798 | 0.9188 | 0.9140 | 0.9188 | 0.9117 |
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| 0.0428 | 5.0 | 1340 | 1.0451 | 0.9178 | 0.9155 | 0.9178 | 0.9138 |
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### Framework versions
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runs/Sep05_16-07-08_76b4a57825a5/events.out.tfevents.1725552446.76b4a57825a5.1152.1
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