metadata
license: mit
base_model: bobbyw/deberta-v3-large_v3_relationships
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
- precision
- recall
model-index:
- name: deberta-v3-large_relationships_v3.1_manual_edit
results: []
deberta-v3-large_relationships_v3.1_manual_edit
This model is a fine-tuned version of bobbyw/deberta-v3-large_v3_relationships on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0106
- Accuracy: 0.0025
- F1: 0.0045
- Precision: 0.0023
- Recall: 0.8125
- Learning Rate: 0.002
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-06
- train_batch_size: 3
- eval_batch_size: 3
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- num_epochs: 4
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall | Rate |
|---|---|---|---|---|---|---|---|---|
| 0.01 | 1.0 | 947 | 0.0117 | 0.0025 | 0.0038 | 0.0019 | 0.6875 | 0.002 |
| 0.0071 | 2.0 | 1894 | 0.0106 | 0.0025 | 0.0045 | 0.0023 | 0.8125 | 0.002 |
| 0.0058 | 3.0 | 2841 | 0.0108 | 0.0025 | 0.0045 | 0.0023 | 0.8125 | 0.002 |
| 0.0051 | 4.0 | 3788 | 0.0106 | 0.0025 | 0.0045 | 0.0023 | 0.8125 | 0.002 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1