|
--- |
|
license: mit |
|
base_model: xlm-roberta-base |
|
tags: |
|
- generated_from_trainer |
|
metrics: |
|
- f1 |
|
model-index: |
|
- name: xlm-roberta-base-finetuned-panx-de |
|
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. --> |
|
|
|
# xlm-roberta-base-finetuned-panx-de |
|
|
|
This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on an unknown dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.3159 |
|
- F1: 0.8543 |
|
|
|
## 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: 5e-05 |
|
- train_batch_size: 24 |
|
- eval_batch_size: 24 |
|
- 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 | F1 | |
|
|:-------------:|:-----:|:----:|:---------------:|:------:| |
|
| 0.3578 | 1.0 | 525 | 0.2204 | 0.7870 | |
|
| 0.1946 | 2.0 | 1050 | 0.2063 | 0.8072 | |
|
| 0.1314 | 3.0 | 1575 | 0.2037 | 0.8318 | |
|
| 0.0924 | 4.0 | 2100 | 0.2161 | 0.8363 | |
|
| 0.0641 | 5.0 | 2625 | 0.2472 | 0.8418 | |
|
| 0.046 | 6.0 | 3150 | 0.2754 | 0.8409 | |
|
| 0.0306 | 7.0 | 3675 | 0.2718 | 0.8509 | |
|
| 0.0205 | 8.0 | 4200 | 0.3045 | 0.8563 | |
|
| 0.0128 | 9.0 | 4725 | 0.3148 | 0.8568 | |
|
| 0.0091 | 10.0 | 5250 | 0.3159 | 0.8543 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.41.2 |
|
- Pytorch 2.1.2 |
|
- Datasets 2.19.2 |
|
- Tokenizers 0.19.1 |
|
|
