autoevaluator
HF staff
Add verifyToken field to verify evaluation results are produced by Hugging Face's automatic model evaluator
e834998
language: | |
- pt | |
license: mit | |
tags: | |
- generated_from_trainer | |
datasets: | |
- lener_br | |
metrics: | |
- precision | |
- recall | |
- f1 | |
- accuracy | |
model-index: | |
- name: xlm-roberta-large-finetuned-lener_br-finetuned-lener-br | |
results: | |
- task: | |
type: token-classification | |
name: Token Classification | |
dataset: | |
name: lener_br | |
type: lener_br | |
config: lener_br | |
split: train | |
args: lener_br | |
metrics: | |
- type: precision | |
value: 0.9122490993309316 | |
name: Precision | |
- type: recall | |
value: 0.9162574308606876 | |
name: Recall | |
- type: f1 | |
value: 0.9142488716956804 | |
name: F1 | |
- type: accuracy | |
value: 0.982592974434832 | |
name: Accuracy | |
- task: | |
type: token-classification | |
name: Token Classification | |
dataset: | |
name: lener_br | |
type: lener_br | |
config: lener_br | |
split: validation | |
metrics: | |
- type: accuracy | |
value: 0.982592974434832 | |
name: Accuracy | |
verified: true | |
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZDJhNDNlNDZhNjRiZGE3OTY1MWE2NWQ1MWMxNGFjMzRkYThkNDQzZTVmZWQ2NmVlYjM3ZGM0ZDQxMjMwYzY5ZiIsInZlcnNpb24iOjF9.yqIbFYUTIiszqXYf-dgSxnmDJZ3KI-Npo4bjwKzbciphjViKAOsYqmryzY2Bvl7uPXGIra-w12RUzH39TmF7Bg | |
- type: precision | |
value: 0.9882345251323615 | |
name: Precision | |
verified: true | |
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNzhiYjUwMjVmYTJkMTRlMTBlMDNhYmMzNWEyOTI1NDAwYzQ4MWQxNTRjN2JlMDMxMzI5YTEzOThmYmQxMThiYiIsInZlcnNpb24iOjF9.-9xUcfhKYrz_aKp43gUaHuy1wDsW9G1B9snL5ELV-MiE0vIwiZOh_ABn7niQX3wJhTgQB5k0wyvke2g-T-EXAg | |
- type: recall | |
value: 0.9881214973122232 | |
name: Recall | |
verified: true | |
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiYTc3NDNmODY5ZTk4MGFiYjlhMjMyYjI5YTNiNTk2MDJlMTJhMTNjY2M2ZTAyYzY3NjY1ZGQwMThiODNiZjRjZiIsInZlcnNpb24iOjF9.ZwcIyernYrH3mBkm3_NARDWzOJj0tJx0pWFHos0NJhcScbqF8DdySxJCq4juMIdR-QpCK792UXE679Jl3ToOAQ | |
- type: f1 | |
value: 0.9881780079902612 | |
name: F1 | |
verified: true | |
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNTRlYzhiNTg1ZDUzOTlmMjA3NDllNDI3NjEyYTQ3NTIxZDUxZTJjZmRjYmU5OGQ1Y2M1YzE5OGFlODlmOWYxMCIsInZlcnNpb24iOjF9.wevKTlTiTFi1ZAYy0sWL7COptSGejuew1ep-UfmLb5vb-BurR1osOvW18Qc8gClZF5LK2xgkdZXBUrXo9o8WBw | |
- type: loss | |
value: 0.16145998239517212 | |
name: loss | |
verified: true | |
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMGI1ZmJjN2JkMDg5MmU3Y2M0OTRmZWI3OTcwOThhMzc3ZjRhYmIwNGNjZDViZWU0MWY3YmVlN2ExMjEzZWVhNCIsInZlcnNpb24iOjF9.lGm6cdequwNGyVDBlrCkWSJiA0K681GrUBrWzP6Ha0YMhXtMkdoVkVSNuD0XGEvA7Y7SfSNrQ9BM7QwTu_gKDQ | |
<!-- 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. --> | |
# xlm-roberta-large-finetuned-lener_br-finetuned-lener-br | |
This model is a fine-tuned version of [Luciano/xlm-roberta-large-finetuned-lener_br](https://huggingface.co/Luciano/xlm-roberta-large-finetuned-lener_br) on the lener_br dataset. | |
It achieves the following results on the evaluation set: | |
- Loss: nan | |
- Precision: 0.9122 | |
- Recall: 0.9163 | |
- F1: 0.9142 | |
- Accuracy: 0.9826 | |
## 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: 2 | |
- eval_batch_size: 2 | |
- seed: 42 | |
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
- lr_scheduler_type: linear | |
- num_epochs: 15 | |
- mixed_precision_training: Native AMP | |
### Training results | |
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy | | |
|:-------------:|:-----:|:-----:|:---------------:|:---------:|:------:|:------:|:--------:| | |
| 0.068 | 1.0 | 3914 | nan | 0.6196 | 0.8604 | 0.7204 | 0.9568 | | |
| 0.0767 | 2.0 | 7828 | nan | 0.8270 | 0.8710 | 0.8484 | 0.9693 | | |
| 0.0257 | 3.0 | 11742 | nan | 0.7243 | 0.9005 | 0.8029 | 0.9639 | | |
| 0.0193 | 4.0 | 15656 | nan | 0.9010 | 0.8984 | 0.8997 | 0.9821 | | |
| 0.0156 | 5.0 | 19570 | nan | 0.7150 | 0.9121 | 0.8016 | 0.9641 | | |
| 0.0165 | 6.0 | 23484 | nan | 0.7640 | 0.8796 | 0.8177 | 0.9691 | | |
| 0.0225 | 7.0 | 27398 | nan | 0.8851 | 0.9098 | 0.8973 | 0.9803 | | |
| 0.016 | 8.0 | 31312 | nan | 0.9081 | 0.9015 | 0.9048 | 0.9792 | | |
| 0.0078 | 9.0 | 35226 | nan | 0.8941 | 0.8863 | 0.8902 | 0.9788 | | |
| 0.0061 | 10.0 | 39140 | nan | 0.9026 | 0.9002 | 0.9014 | 0.9804 | | |
| 0.0057 | 11.0 | 43054 | nan | 0.8793 | 0.9018 | 0.8904 | 0.9769 | | |
| 0.0044 | 12.0 | 46968 | nan | 0.8790 | 0.9033 | 0.8910 | 0.9785 | | |
| 0.0043 | 13.0 | 50882 | nan | 0.9122 | 0.9163 | 0.9142 | 0.9826 | | |
| 0.0003 | 14.0 | 54796 | nan | 0.9032 | 0.9070 | 0.9051 | 0.9807 | | |
| 0.0025 | 15.0 | 58710 | nan | 0.8903 | 0.9085 | 0.8993 | 0.9798 | | |
### Framework versions | |
- Transformers 4.23.1 | |
- Pytorch 1.12.1+cu113 | |
- Datasets 2.6.1 | |
- Tokenizers 0.13.1 | |