metadata
library_name: transformers
license: mit
base_model: SamLowe/roberta-base-go_emotions
tags:
- classification
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: roberta-base-go_emotions
results: []
roberta-base-go_emotions
This model is a fine-tuned version of SamLowe/roberta-base-go_emotions on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.4579
- Accuracy: 0.4894
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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 4
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 23 | 1.7413 | 0.3404 |
| No log | 2.0 | 46 | 1.6440 | 0.3830 |
| No log | 3.0 | 69 | 1.5240 | 0.4894 |
| No log | 4.0 | 92 | 1.4579 | 0.4894 |
Framework versions
- Transformers 4.47.1
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0