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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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metrics: |
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- accuracy |
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- precision |
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- recall |
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- f1 |
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base_model: Prasadrao/roberta-large-go-emotions |
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model-index: |
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- name: roberta-large-go-emotions_v2 |
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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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should probably proofread and complete it, then remove this comment. --> |
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# roberta-large-go-emotions_v2 |
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This model is a fine-tuned version of [Prasadrao/roberta-large-go-emotions](https://huggingface.co./Prasadrao/roberta-large-go-emotions) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0952 |
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- Accuracy: 0.4613 |
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- Precision: 0.5326 |
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- Recall: 0.5126 |
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- F1: 0.5165 |
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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: 32 |
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- eval_batch_size: 32 |
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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: 4 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:| |
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| No log | 1.0 | 679 | 0.0844 | 0.4552 | 0.5190 | 0.5026 | 0.4984 | |
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| 0.0647 | 2.0 | 1358 | 0.0866 | 0.4449 | 0.5308 | 0.5100 | 0.5063 | |
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| 0.0647 | 3.0 | 2037 | 0.0898 | 0.4471 | 0.5261 | 0.5253 | 0.5166 | |
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| 0.0473 | 4.0 | 2716 | 0.0952 | 0.4613 | 0.5326 | 0.5126 | 0.5165 | |
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### Framework versions |
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- Transformers 4.37.0 |
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- Pytorch 2.1.2 |
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- Datasets 2.15.0 |
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- Tokenizers 0.15.1 |
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