metadata
license: apache-2.0
base_model: Atheer174/my_awesome_wnut_model3
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: my_awesome_wnut_model3
results: []
my_awesome_wnut_model3
This model is a fine-tuned version of Atheer174/my_awesome_wnut_model3 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0102
- Precision: 0.9975
- Recall: 0.9979
- F1: 0.9977
- Accuracy: 0.9987
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: 1
Training results
Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
---|---|---|---|---|---|---|---|
0.0005 | 1.0 | 2470 | 0.0102 | 0.9975 | 0.9979 | 0.9977 | 0.9987 |
Framework versions
- Transformers 4.33.2
- Pytorch 1.13.1+cu117
- Datasets 2.14.5
- Tokenizers 0.13.3