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---
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: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# deberta-v3-large_relationships_v3.2
This model is a fine-tuned version of [bobbyw/deberta-v3-large_relationships_v3.2](https://huggingface.co/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
|