metadata
license: mit
base_model: microsoft/mdeberta-v3-base
tags:
- generated_from_trainer
metrics:
- f1
- accuracy
model-index:
- name: acer_nitro_mdberta
results: []
acer_nitro_mdberta
This model is a fine-tuned version of microsoft/mdeberta-v3-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.8039
- F1: 0.0
- Roc Auc: 0.5
- Accuracy: 0.25
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-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 | Roc Auc | Accuracy |
|---|---|---|---|---|---|---|
| No log | 1.0 | 8 | 0.6953 | 0.5455 | 0.5857 | 0.25 |
| No log | 2.0 | 16 | 0.7251 | 0.0 | 0.4286 | 0.0 |
| No log | 3.0 | 24 | 0.7762 | 0.0 | 0.4286 | 0.25 |
| No log | 4.0 | 32 | 0.7932 | 0.0 | 0.5 | 0.25 |
| No log | 5.0 | 40 | 0.8039 | 0.0 | 0.5 | 0.25 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0