metadata
license: apache-2.0
base_model: google/electra-base-discriminator
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: electra-base-discriminator-DIALOCONAN-WIKI-CLS
results: []
electra-base-discriminator-DIALOCONAN-WIKI-CLS
This model is a fine-tuned version of google/electra-base-discriminator on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3857
- Precision: 0.7092
- Recall: 0.7122
- F1: 0.7105
- Accuracy: 0.9463
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: 3e-05
- train_batch_size: 4
- eval_batch_size: 4
- 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 | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| 0.385 | 1.0 | 2500 | 0.4128 | 0.6909 | 0.6936 | 0.6910 | 0.9204 |
| 0.2798 | 2.0 | 5000 | 0.4055 | 0.6934 | 0.6951 | 0.6934 | 0.9234 |
| 0.2032 | 3.0 | 7500 | 0.3651 | 0.7042 | 0.7064 | 0.7052 | 0.9392 |
| 0.1438 | 4.0 | 10000 | 0.4059 | 0.7055 | 0.7089 | 0.7069 | 0.9416 |
| 0.0829 | 5.0 | 12500 | 0.3857 | 0.7092 | 0.7122 | 0.7105 | 0.9463 |
Framework versions
- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1