nlp_covid_tweets
This model is a fine-tuned version of finiteautomata/beto-emotion-analysis on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.1415
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.406 | 1.0 | 6705 | 1.3510 |
| 1.2393 | 2.0 | 13410 | 1.2051 |
| 1.1622 | 3.0 | 20115 | 1.1410 |
Framework versions
- Transformers 4.34.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.14.0
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Model tree for ArtCad98/nlp_covid_tweets
Base model
finiteautomata/beto-emotion-analysis