Training completed!
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README.md
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---
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base_model: pysentimiento/robertuito-emotion-analysis
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tags:
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- generated_from_trainer
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datasets:
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- emotion
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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: robertuito-emotion-analysis-finetuned-emotion
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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: emotion
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type: emotion
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config: split
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split: validation
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args: split
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.8655
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- name: F1
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type: f1
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value: 0.8628554689630553
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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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# robertuito-emotion-analysis-finetuned-emotion
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This model is a fine-tuned version of [pysentimiento/robertuito-emotion-analysis](https://huggingface.co/pysentimiento/robertuito-emotion-analysis) on the emotion dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.3934
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- Accuracy: 0.8655
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- F1: 0.8629
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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: 2e-05
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- train_batch_size: 64
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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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- num_epochs: 2
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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| 0.9288 | 1.0 | 250 | 0.5332 | 0.812 | 0.7915 |
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| 0.4393 | 2.0 | 500 | 0.3934 | 0.8655 | 0.8629 |
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### Framework versions
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- Transformers 4.41.2
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- Pytorch 2.3.0+cu121
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- Datasets 2.20.0
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- Tokenizers 0.19.1
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runs/Jul14_15-46-56_29231437cfe5/events.out.tfevents.1720972049.29231437cfe5.7138.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size
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version https://git-lfs.github.com/spec/v1
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oid sha256:7a3547f5a27e34712c5bea52e54ce35a6d1cc8267fc325a0a6498e9350562f71
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size 6873
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