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--- |
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base_model: finiteautomata/beto-emotion-analysis |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: nlp_covid_tweets |
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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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# nlp_covid_tweets |
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This model is a fine-tuned version of [finiteautomata/beto-emotion-analysis](https://huggingface.co/finiteautomata/beto-emotion-analysis) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.1415 |
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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: 8 |
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- eval_batch_size: 8 |
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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: 3 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:-----:|:---------------:| |
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| 1.406 | 1.0 | 6705 | 1.3510 | |
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| 1.2393 | 2.0 | 13410 | 1.2051 | |
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| 1.1622 | 3.0 | 20115 | 1.1410 | |
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### Framework versions |
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- Transformers 4.34.0 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.14.5 |
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- Tokenizers 0.14.0 |
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