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--- |
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library_name: transformers |
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license: mit |
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base_model: mateiaassAI/teacher_emo |
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tags: |
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- generated_from_trainer |
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metrics: |
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- f1 |
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- accuracy |
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- precision |
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- recall |
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model-index: |
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- name: teacher_emo_redv2 |
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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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# teacher_emo_redv2 |
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This model is a fine-tuned version of [mateiaassAI/teacher_emo](https://huggingface.co/mateiaassAI/teacher_emo) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2455 |
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- F1: 0.6905 |
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- Roc Auc: 0.7975 |
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- Accuracy: 0.5967 |
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- Precision: 0.7515 |
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- Recall: 0.6427 |
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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: 1.7e-05 |
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- train_batch_size: 16 |
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- eval_batch_size: 16 |
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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 | F1 | Roc Auc | Accuracy | Precision | Recall | |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|:--------:|:---------:|:------:| |
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| No log | 1.0 | 256 | 0.2661 | 0.6012 | 0.7369 | 0.4788 | 0.7897 | 0.5090 | |
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| 0.2941 | 2.0 | 512 | 0.2433 | 0.6749 | 0.7869 | 0.5801 | 0.7702 | 0.6117 | |
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| 0.2941 | 3.0 | 768 | 0.2467 | 0.6783 | 0.7933 | 0.5912 | 0.7384 | 0.6362 | |
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| 0.1692 | 4.0 | 1024 | 0.2455 | 0.6905 | 0.7975 | 0.5967 | 0.7515 | 0.6427 | |
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### Framework versions |
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- Transformers 4.45.1 |
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- Pytorch 2.4.0 |
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- Datasets 3.0.1 |
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- Tokenizers 0.20.0 |
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