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--- |
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language: |
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- en |
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license: apache-2.0 |
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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: SEED0042 |
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results: |
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- task: |
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name: Text Classification |
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type: text-classification |
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dataset: |
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name: HATEXPLAIN |
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type: '' |
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args: hatexplain |
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metrics: |
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- name: Accuracy |
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type: accuracy |
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value: 0.40790842872008326 |
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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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# SEED0042 |
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This model is a fine-tuned version of [bert-large-uncased](https://huggingface.co/bert-large-uncased) on the HATEXPLAIN dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.7731 |
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- Accuracy: 0.4079 |
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- Accuracy 0: 0.8027 |
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- Accuracy 1: 0.1869 |
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- Accuracy 2: 0.2956 |
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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: 5e-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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- distributed_type: not_parallel |
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- gradient_accumulation_steps: 32 |
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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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- lr_scheduler_warmup_steps: 150 |
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- num_epochs: 3 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | Accuracy 0 | Accuracy 1 | Accuracy 2 | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:----------:|:----------:|:----------:| |
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| No log | 1.0 | 480 | 0.8029 | 0.4235 | 0.7589 | 0.0461 | 0.5985 | |
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| No log | 2.0 | 960 | 0.7574 | 0.4011 | 0.7470 | 0.1831 | 0.3376 | |
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| No log | 3.0 | 1440 | 0.7731 | 0.4079 | 0.8027 | 0.1869 | 0.2956 | |
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### Framework versions |
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- Transformers 4.17.0 |
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- Pytorch 1.10.0+cu113 |
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- Datasets 2.1.0 |
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- Tokenizers 0.11.6 |
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