metadata
license: mit
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: deberta-v3-base-goemotions
results: []
deberta-v3-base-goemotions
This model is a fine-tuned version of microsoft/deberta-v3-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.7610
- F1: 0.4468
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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| 1.5709 | 1.0 | 6164 | 1.5211 | 0.4039 |
| 1.3689 | 2.0 | 12328 | 1.5466 | 0.4198 |
| 1.1819 | 3.0 | 18492 | 1.5670 | 0.4520 |
| 1.0059 | 4.0 | 24656 | 1.6673 | 0.4479 |
| 0.8129 | 5.0 | 30820 | 1.7610 | 0.4468 |
Framework versions
- Transformers 4.15.0
- Pytorch 1.10.0+cu111
- Datasets 1.17.0
- Tokenizers 0.10.3