|
--- |
|
license: apache-2.0 |
|
tags: |
|
- generated_from_trainer |
|
metrics: |
|
- precision |
|
- recall |
|
- f1 |
|
- accuracy |
|
model-index: |
|
- name: directquote-variedStyles |
|
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. --> |
|
|
|
# directquote-variedStyles |
|
|
|
This model is a fine-tuned version of [distilbert-base-cased](https://huggingface.co/distilbert-base-cased) on the None dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.2339 |
|
- Precision: 0.7440 |
|
- Recall: 0.9090 |
|
- F1: 0.8182 |
|
- Accuracy: 0.9355 |
|
|
|
## 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: 5 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy | |
|
|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:| |
|
| 0.3392 | 1.0 | 976 | 0.2050 | 0.7040 | 0.8297 | 0.7617 | 0.9327 | |
|
| 0.1915 | 2.0 | 1952 | 0.1996 | 0.7417 | 0.8990 | 0.8128 | 0.9337 | |
|
| 0.1668 | 3.0 | 2928 | 0.2023 | 0.7373 | 0.9066 | 0.8132 | 0.9369 | |
|
| 0.1447 | 4.0 | 3904 | 0.2125 | 0.7458 | 0.9107 | 0.8200 | 0.9367 | |
|
| 0.1248 | 5.0 | 4880 | 0.2339 | 0.7440 | 0.9090 | 0.8182 | 0.9355 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.25.1 |
|
- Pytorch 1.10.2+cu113 |
|
- Datasets 2.8.0 |
|
- Tokenizers 0.13.2 |
|
|
