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--- |
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license: mit |
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tags: |
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- generated_from_trainer |
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datasets: |
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- go_emotions |
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metrics: |
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- f1 |
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- accuracy |
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model-index: |
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- name: go_emo_gpt |
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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: go_emotions |
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type: go_emotions |
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config: simplified |
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split: validation |
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args: simplified |
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metrics: |
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- name: F1 |
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type: f1 |
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value: 0.6009707054948864 |
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- name: Accuracy |
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type: accuracy |
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value: 0.49963140434942865 |
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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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# go_emo_gpt |
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This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on the go_emotions dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0964 |
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- F1: 0.6010 |
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- Roc Auc: 0.7659 |
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- Accuracy: 0.4996 |
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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: 1e-05 |
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- train_batch_size: 1 |
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- eval_batch_size: 64 |
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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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- lr_scheduler_warmup_steps: (13023,) |
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- num_epochs: 3 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | F1 | Roc Auc | Accuracy | |
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|:-------------:|:-----:|:------:|:---------------:|:------:|:-------:|:--------:| |
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| 0.105 | 1.0 | 43410 | 0.0967 | 0.5795 | 0.7476 | 0.4757 | |
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| 0.0949 | 2.0 | 86820 | 0.0938 | 0.6012 | 0.7636 | 0.5035 | |
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| 0.0837 | 3.0 | 130230 | 0.0964 | 0.6010 | 0.7659 | 0.4996 | |
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### Framework versions |
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- Transformers 4.26.1 |
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- Pytorch 1.13.1+cu117 |
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- Datasets 2.12.0 |
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- Tokenizers 0.13.3 |
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