metadata
library_name: transformers
license: mit
base_model: microsoft/deberta-v3-base
tags:
- generated_from_trainer
model-index:
- name: deberta-v3-base-finetuned-nlp-course
results: []
deberta-v3-base-finetuned-nlp-course
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: 1.8528
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: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 8
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 101 | 2.0420 |
| No log | 2.0 | 202 | 1.8421 |
| No log | 3.0 | 303 | 1.6758 |
| No log | 4.0 | 404 | 1.7467 |
| 1.6881 | 5.0 | 505 | 1.7773 |
| 1.6881 | 6.0 | 606 | 1.8313 |
| 1.6881 | 7.0 | 707 | 1.8225 |
| 1.6881 | 8.0 | 808 | 1.8528 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.0
- Tokenizers 0.19.1