metadata
license: mit
base_model: microsoft/deberta-v3-large
tags:
- generated_from_trainer
model-index:
- name: microsoft/deberta-v3-large
results: []
microsoft/deberta-v3-large
This model is a fine-tuned version of microsoft/deberta-v3-large on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.6094
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: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 6
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.6123 | 1.0 | 3550 | 1.6094 |
| 1.6124 | 2.0 | 7100 | 1.6094 |
| 1.6106 | 3.0 | 10650 | 1.6094 |
| 1.6107 | 4.0 | 14200 | 1.6094 |
| 1.6104 | 5.0 | 17750 | 1.6094 |
| 1.6115 | 6.0 | 21300 | 1.6094 |
Framework versions
- Transformers 4.32.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3