|
--- |
|
license: apache-2.0 |
|
library_name: peft |
|
tags: |
|
- generated_from_trainer |
|
metrics: |
|
- precision |
|
- recall |
|
- f1 |
|
- accuracy |
|
base_model: bert-base-multilingual-cased |
|
model-index: |
|
- name: nlp-classification-comic-name-weighdecay-0.001-lr-1e-3 |
|
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. --> |
|
|
|
# nlp-classification-comic-name-weighdecay-0.001-lr-1e-3 |
|
|
|
This model is a fine-tuned version of [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) on the None dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.0339 |
|
- Precision: 0.0 |
|
- Recall: 0.0 |
|
- F1: 0.0 |
|
- Accuracy: 0.9925 |
|
|
|
## 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: 0.00025 |
|
- train_batch_size: 30 |
|
- eval_batch_size: 30 |
|
- seed: 42 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: linear |
|
- num_epochs: 10 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy | |
|
|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:---:|:--------:| |
|
| No log | 1.0 | 27 | 0.0356 | 0.0 | 0.0 | 0.0 | 0.9913 | |
|
| No log | 2.0 | 54 | 0.0366 | 0.0 | 0.0 | 0.0 | 0.9921 | |
|
| No log | 3.0 | 81 | 0.0345 | 0.0 | 0.0 | 0.0 | 0.9921 | |
|
| No log | 4.0 | 108 | 0.0346 | 0.0 | 0.0 | 0.0 | 0.9921 | |
|
| No log | 5.0 | 135 | 0.0341 | 0.0 | 0.0 | 0.0 | 0.9921 | |
|
| No log | 6.0 | 162 | 0.0337 | 0.0 | 0.0 | 0.0 | 0.9921 | |
|
| No log | 7.0 | 189 | 0.0345 | 0.0 | 0.0 | 0.0 | 0.9929 | |
|
| No log | 8.0 | 216 | 0.0338 | 0.0 | 0.0 | 0.0 | 0.9925 | |
|
| No log | 9.0 | 243 | 0.0338 | 0.0 | 0.0 | 0.0 | 0.9925 | |
|
| No log | 10.0 | 270 | 0.0339 | 0.0 | 0.0 | 0.0 | 0.9925 | |
|
|
|
|
|
### Framework versions |
|
|
|
- PEFT 0.7.1 |
|
- Transformers 4.36.2 |
|
- Pytorch 2.1.2+cu121 |
|
- Datasets 2.16.1 |
|
- Tokenizers 0.15.0 |
