Librarian Bot: Add base_model information to model

1ee956a over 2 years ago

2.54 kB

language:
  - sk
tags:
  - generated_from_trainer
datasets:
  - wikiann
metrics:
  - precision
  - recall
  - f1
  - accuracy
inference: false
base_model: crabz/bertoslav-limited
model-index:
  - name: bertoslav-limited-ner
    results:
      - task:
          type: token-classification
          name: Token Classification
        dataset:
          name: wikiann sk
          type: wikiann
          args: sk
        metrics:
          - type: precision
            value: 0.8985571260306242
            name: Precision
          - type: recall
            value: 0.9173994738819993
            name: Recall
          - type: f1
            value: 0.9078805459481573
            name: F1
          - type: accuracy
            value: 0.9700235061239639
            name: Accuracy

Named Entity Recognition based on bertoslav-limited

This model is a fine-tuned version of crabz/bertoslav-limited on the Slovak wikiann dataset. It achieves the following results on the evaluation set:

Loss: 0.2119
Precision: 0.8986
Recall: 0.9174
F1: 0.9079
Accuracy: 0.9700

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 5e-05
train_batch_size: 24
eval_batch_size: 24
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 10.0

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
0.2953	1.0	834	0.1516	0.8413	0.8647	0.8529	0.9549
0.0975	2.0	1668	0.1304	0.8787	0.9056	0.8920	0.9658
0.0487	3.0	2502	0.1405	0.8916	0.8958	0.8937	0.9660
0.025	4.0	3336	0.1658	0.8850	0.9116	0.8981	0.9669
0.0161	5.0	4170	0.1739	0.8974	0.9127	0.9050	0.9693
0.0074	6.0	5004	0.1888	0.8900	0.9144	0.9020	0.9687
0.0051	7.0	5838	0.1996	0.8946	0.9145	0.9044	0.9693
0.0039	8.0	6672	0.2052	0.8993	0.9158	0.9075	0.9697
0.0024	9.0	7506	0.2112	0.8946	0.9171	0.9057	0.9696
0.0018	10.0	8340	0.2119	0.8986	0.9174	0.9079	0.9700

Framework versions

Transformers 4.14.0.dev0
Pytorch 1.10.0
Datasets 1.16.1
Tokenizers 0.10.3