metadata
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
- precision
- recall
model-index:
- name: electricidad-base-muchocine-finetuned
results: []
electricidad-base-muchocine-finetuned
This model is a fine-tuned version of mrm8488/electricidad-base-discriminator on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.2564
- Accuracy: 0.5161
- F1: 0.5166
- Precision: 0.5331
- Recall: 0.5161
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: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
|---|---|---|---|---|---|---|---|
| 1.3945 | 1.0 | 2582 | 1.1709 | 0.5 | 0.4852 | 0.5171 | 0.5 |
| 0.9972 | 2.0 | 5164 | 1.2564 | 0.5161 | 0.5166 | 0.5331 | 0.5161 |
Framework versions
- Transformers 4.16.2
- Pytorch 1.10.0+cu111
- Datasets 1.18.3
- Tokenizers 0.11.6