license: mit | |
base_model: xlm-roberta-base | |
tags: | |
- generated_from_trainer | |
metrics: | |
- f1 | |
model-index: | |
- name: xlm-roberta-base-finetuned-panx-de | |
results: [] | |
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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: 0.1359 | |
- F1: 0.0 | |
## 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: 3 | |
### Training results | |
| Training Loss | Epoch | Step | Validation Loss | F1 | | |
|:-------------:|:-----:|:----:|:---------------:|:---:| | |
| 0.2598 | 1.0 | 525 | 0.1626 | 0.0 | | |
| 0.1289 | 2.0 | 1050 | 0.1346 | 0.0 | | |
| 0.0797 | 3.0 | 1575 | 0.1359 | 0.0 | | |
### Framework versions | |
- Transformers 4.42.3 | |
- Pytorch 2.3.1 | |
- Datasets 2.19.1 | |
- Tokenizers 0.19.1 | |