metadata
library_name: transformers
license: mit
base_model: microsoft/deberta-v3-base
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: deberta-v3-base-sst5
results: []
deberta-v3-base-sst5
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: 1.0544
- F1: 0.5493
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: 1e-05
- train_batch_size: 64
- eval_batch_size: 64
- 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
- lr_scheduler_warmup_ratio: 0.01
- num_epochs: 10.0
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| 1.1525 | 0.7463 | 100 | 1.2348 | 0.3353 |
| 1.0138 | 1.4925 | 200 | 1.0883 | 0.4924 |
| 0.9136 | 2.2388 | 300 | 1.0727 | 0.5172 |
| 0.8806 | 2.9851 | 400 | 1.1005 | 0.5205 |
| 0.8115 | 3.7313 | 500 | 1.0544 | 0.5493 |
| 0.7483 | 4.4776 | 600 | 1.1093 | 0.5307 |
| 0.696 | 5.2239 | 700 | 1.1064 | 0.5424 |
| 0.7167 | 5.9701 | 800 | 1.1407 | 0.5293 |
| 0.7079 | 6.7164 | 900 | 1.1766 | 0.5206 |
| 0.6593 | 7.4627 | 1000 | 1.2103 | 0.5257 |
| 0.6299 | 8.2090 | 1100 | 1.2031 | 0.5249 |
| 0.675 | 8.9552 | 1200 | 1.2117 | 0.5198 |
| 0.5619 | 9.7015 | 1300 | 1.2219 | 0.5208 |
Framework versions
- Transformers 4.49.0
- Pytorch 2.5.1
- Datasets 3.2.0
- Tokenizers 0.21.0