metadata
license: apache-2.0
base_model: distilbert/distilroberta-base
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: distilroberta-base-finetuned-ner-geocorpus
results: []
distilroberta-base-finetuned-ner-geocorpus
This model is a fine-tuned version of distilbert/distilroberta-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1238
- Precision: 0.7853
- Recall: 0.8441
- F1: 0.8136
- Accuracy: 0.9705
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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 276 | 0.2578 | 0.5160 | 0.4259 | 0.4666 | 0.9420 |
| 0.3469 | 2.0 | 552 | 0.1849 | 0.6491 | 0.6695 | 0.6591 | 0.9558 |
| 0.3469 | 3.0 | 828 | 0.1435 | 0.7515 | 0.7547 | 0.7531 | 0.9639 |
| 0.1395 | 4.0 | 1104 | 0.1537 | 0.6984 | 0.7811 | 0.7374 | 0.9620 |
| 0.1395 | 5.0 | 1380 | 0.1512 | 0.7055 | 0.8262 | 0.7611 | 0.9603 |
| 0.0892 | 6.0 | 1656 | 0.1258 | 0.7663 | 0.8407 | 0.8018 | 0.9680 |
| 0.0892 | 7.0 | 1932 | 0.1338 | 0.7439 | 0.8509 | 0.7938 | 0.9658 |
| 0.0654 | 8.0 | 2208 | 0.1256 | 0.7665 | 0.8501 | 0.8061 | 0.9693 |
| 0.0654 | 9.0 | 2484 | 0.1207 | 0.7926 | 0.8399 | 0.8156 | 0.9715 |
| 0.0515 | 10.0 | 2760 | 0.1238 | 0.7853 | 0.8441 | 0.8136 | 0.9705 |
Framework versions
- Transformers 4.41.1
- Pytorch 2.1.2
- Datasets 2.19.1
- Tokenizers 0.19.1