metadata
base_model: bobbyw/deberta-v3-large_relationships_v3.2
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
- precision
- recall
model-index:
- name: deberta-v3-large_relationships_v3.2
results: []
deberta-v3-large_relationships_v3.2
This model is a fine-tuned version of bobbyw/deberta-v3-large_relationships_v3.2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0079
- Accuracy: 0.0017
- F1: 0.0020
- Precision: 0.0010
- Recall: 0.4398
- Learning Rate: 0.001
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-06
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall | Rate |
|---|---|---|---|---|---|---|---|---|
| 0.0022 | 1.0 | 4106 | 0.0076 | 0.0015 | 0.0022 | 0.0011 | 0.4722 | 0.001 |
| 0.0026 | 2.0 | 8212 | 0.0080 | 0.0017 | 0.0020 | 0.0010 | 0.4306 | 0.001 |
| 0.0021 | 3.0 | 12318 | 0.0079 | 0.0017 | 0.0020 | 0.0010 | 0.4398 | 0.001 |
Framework versions
- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1