---
base_model: lilyyellow/my_awesome_ner-token_classification_v1.0.7-4
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: my_awesome_ner-token_classification_v1.0.7-4
  results: []
---

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# my_awesome_ner-token_classification_v1.0.7-4

This model is a fine-tuned version of [lilyyellow/my_awesome_ner-token_classification_v1.0.7-4](https://huggingface.co/lilyyellow/my_awesome_ner-token_classification_v1.0.7-4) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5084
- Precision: 0.6376
- Recall: 0.6915
- F1: 0.6634
- Accuracy: 0.8858

## 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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 5

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
|:-------------:|:------:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
| 0.1297        | 1.9965 | 1156 | 0.4660          | 0.6384    | 0.6812 | 0.6591 | 0.8855   |
| 0.0986        | 3.9931 | 2312 | 0.5084          | 0.6376    | 0.6915 | 0.6634 | 0.8858   |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.1.2
- Datasets 2.19.2
- Tokenizers 0.19.1