tags: | |
- generated_from_trainer | |
datasets: | |
- emotion | |
model-index: | |
- name: distilbert-base-uncased-finetuned-emotion | |
results: [] | |
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# distilbert-base-uncased-finetuned-emotion | |
This model was trained from scratch on the emotion dataset. | |
## 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: 64 | |
- eval_batch_size: 64 | |
- seed: 42 | |
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
- lr_scheduler_type: linear | |
- num_epochs: 2 | |
### Framework versions | |
- Transformers 4.28.1 | |
- Pytorch 2.0.1+cu117 | |
- Datasets 2.13.0 | |
- Tokenizers 0.13.3 | |