|
|
--- |
|
|
license: mit |
|
|
tags: |
|
|
- generated_from_trainer |
|
|
metrics: |
|
|
- precision |
|
|
- recall |
|
|
- f1 |
|
|
- accuracy |
|
|
model-index: |
|
|
- name: roberta_large-chunking_0728_v2 |
|
|
results: [] |
|
|
--- |
|
|
|
|
|
<!-- 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. --> |
|
|
|
|
|
# roberta_large-chunking_0728_v2 |
|
|
|
|
|
This model is a fine-tuned version of [roberta-large](https://huggingface.co/roberta-large) on an unknown dataset. |
|
|
It achieves the following results on the evaluation set: |
|
|
- Loss: 0.5270 |
|
|
- Precision: 0.6228 |
|
|
- Recall: 0.6467 |
|
|
- F1: 0.6345 |
|
|
- Accuracy: 0.8153 |
|
|
|
|
|
## 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: 1e-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: 5 |
|
|
|
|
|
### Training results |
|
|
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy | |
|
|
|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:| |
|
|
| No log | 1.0 | 125 | 0.5667 | 0.4931 | 0.5415 | 0.5162 | 0.7397 | |
|
|
| No log | 2.0 | 250 | 0.4839 | 0.5484 | 0.5894 | 0.5682 | 0.7874 | |
|
|
| No log | 3.0 | 375 | 0.4822 | 0.5997 | 0.6341 | 0.6164 | 0.8085 | |
|
|
| 0.4673 | 4.0 | 500 | 0.5117 | 0.6023 | 0.6373 | 0.6193 | 0.8120 | |
|
|
| 0.4673 | 5.0 | 625 | 0.5270 | 0.6228 | 0.6467 | 0.6345 | 0.8153 | |
|
|
|
|
|
|
|
|
### Framework versions |
|
|
|
|
|
- Transformers 4.21.0 |
|
|
- Pytorch 1.12.0+cu113 |
|
|
- Datasets 2.4.0 |
|
|
- Tokenizers 0.12.1 |
|
|
|
