metadata
license: mit
base_model: microsoft/mdeberta-v3-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: mdeberta-v3-base-on-custom-kural-500
results: []
mdeberta-v3-base-on-custom-kural-500
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: 0.2705
- Accuracy: 0.93
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 25 | 0.4294 | 0.85 |
| No log | 2.0 | 50 | 0.2183 | 0.92 |
| No log | 3.0 | 75 | 0.4484 | 0.88 |
| No log | 4.0 | 100 | 0.5041 | 0.87 |
| No log | 5.0 | 125 | 0.2482 | 0.93 |
| No log | 6.0 | 150 | 0.9998 | 0.81 |
| No log | 7.0 | 175 | 0.2305 | 0.94 |
| No log | 8.0 | 200 | 0.2145 | 0.95 |
| No log | 9.0 | 225 | 0.2428 | 0.94 |
| No log | 10.0 | 250 | 0.2705 | 0.93 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2