metadata
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: distilbert-ner
results: []
distilbert-ner
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset.
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 45 | 1.5295 | 0.2627 | 0.0223 | 0.0411 | 0.6639 |
| No log | 2.0 | 90 | 1.2463 | 0.3241 | 0.2831 | 0.3022 | 0.6845 |
| No log | 3.0 | 135 | 1.0915 | 0.3560 | 0.4052 | 0.3790 | 0.7005 |
| No log | 4.0 | 180 | 0.9411 | 0.5225 | 0.3180 | 0.3954 | 0.7428 |
| No log | 5.0 | 225 | 0.8653 | 0.4437 | 0.5304 | 0.4832 | 0.7580 |
| No log | 6.0 | 270 | 0.7936 | 0.4913 | 0.5362 | 0.5128 | 0.7798 |
| No log | 7.0 | 315 | 0.7715 | 0.4974 | 0.5623 | 0.5279 | 0.7840 |
| No log | 8.0 | 360 | 0.7545 | 0.5083 | 0.5601 | 0.5329 | 0.7880 |
| No log | 9.0 | 405 | 0.7464 | 0.5125 | 0.5694 | 0.5395 | 0.7921 |
| No log | 10.0 | 450 | 0.7475 | 0.5070 | 0.5725 | 0.5377 | 0.7903 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0