metadata
license: apache-2.0
base_model: cross-encoder/nli-deberta-v3-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: test_trainer
results: []
test_trainer
This model is a fine-tuned version of cross-encoder/nli-deberta-v3-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.8729
- Accuracy: 0.6835
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: 4
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 0.9980 | 245 | 1.2681 | 0.5688 |
| No log | 2.0 | 491 | 1.0121 | 0.6651 |
| 1.1214 | 2.9939 | 735 | 0.8729 | 0.6835 |
Framework versions
- Transformers 4.40.2
- Pytorch 2.2.2+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1