metadata
license: mit
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: deberta-v3-small-fine-Disaster-Tweets-Part2
results: []
deberta-v3-small-fine-Disaster-Tweets-Part2
This model is a fine-tuned version of microsoft/deberta-v3-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.4849
- Accuracy: 0.8275
- F1: 0.8278
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: 8e-05
- train_batch_size: 32
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 4
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| No log | 1.0 | 203 | 0.4670 | 0.8511 | 0.8503 |
| No log | 2.0 | 406 | 0.4381 | 0.8459 | 0.8455 |
| 0.4016 | 3.0 | 609 | 0.4096 | 0.8424 | 0.8413 |
| 0.4016 | 4.0 | 812 | 0.4849 | 0.8275 | 0.8278 |
Framework versions
- Transformers 4.23.1
- Pytorch 1.12.1+cu113
- Datasets 2.6.1
- Tokenizers 0.13.1