File size: 2,272 Bytes
98d7003 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 |
---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- article100v4_wikigold_split
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: Article_100v4_NER_Model_3Epochs_UNAUGMENTED
results:
- task:
name: Token Classification
type: token-classification
dataset:
name: article100v4_wikigold_split
type: article100v4_wikigold_split
args: default
metrics:
- name: Precision
type: precision
value: 0.16216216216216217
- name: Recall
type: recall
value: 0.0030761343245321714
- name: F1
type: f1
value: 0.006037735849056605
- name: Accuracy
type: accuracy
value: 0.7826991539137269
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Article_100v4_NER_Model_3Epochs_UNAUGMENTED
This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on the article100v4_wikigold_split dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5862
- Precision: 0.1622
- Recall: 0.0031
- F1: 0.0060
- Accuracy: 0.7827
## 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: linear
- num_epochs: 3
### Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
| No log | 1.0 | 12 | 0.7284 | 0.0 | 0.0 | 0.0 | 0.7816 |
| No log | 2.0 | 24 | 0.6227 | 0.2 | 0.0003 | 0.0005 | 0.7817 |
| No log | 3.0 | 36 | 0.5862 | 0.1622 | 0.0031 | 0.0060 | 0.7827 |
### Framework versions
- Transformers 4.17.0
- Pytorch 1.11.0+cu113
- Datasets 2.4.0
- Tokenizers 0.11.6
|