metadata
base_model: dccuchile/albert-base-spanish-finetuned-ner
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: albert-base-spanish-finetuned-ner-finetuned-ner
results: []
albert-base-spanish-finetuned-ner-finetuned-ner
This model is a fine-tuned version of dccuchile/albert-base-spanish-finetuned-ner on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.4029
- Precision: 0.0192
- Recall: 0.0152
- F1: 0.0169
- Accuracy: 0.6897
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: 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: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 13 | 1.8593 | 0.0 | 0.0 | 0.0 | 0.5710 |
| No log | 2.0 | 26 | 1.5185 | 0.0323 | 0.0152 | 0.0206 | 0.6207 |
| No log | 3.0 | 39 | 1.4029 | 0.0192 | 0.0152 | 0.0169 | 0.6897 |
Framework versions
- Transformers 4.40.2
- Pytorch 2.3.0+cpu
- Datasets 2.19.1
- Tokenizers 0.19.1