|
--- |
|
license: mit |
|
base_model: xlm-roberta-base |
|
tags: |
|
- generated_from_trainer |
|
metrics: |
|
- accuracy |
|
model-index: |
|
- name: xmlRoBert-Balanced-trimmed-20epoch |
|
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. --> |
|
|
|
# xmlRoBert-Balanced-trimmed-20epoch |
|
|
|
This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on the None dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 1.0586 |
|
- Accuracy: 0.4545 |
|
|
|
## 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: 10 |
|
- eval_batch_size: 10 |
|
- seed: 42 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: linear |
|
- num_epochs: 20 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
|
|:-------------:|:-----:|:----:|:---------------:|:--------:| |
|
| No log | 1.0 | 4 | 1.0327 | 0.5 | |
|
| No log | 2.0 | 8 | 0.9829 | 0.5 | |
|
| No log | 3.0 | 12 | 1.0224 | 0.5 | |
|
| No log | 4.0 | 16 | 0.9787 | 0.5 | |
|
| No log | 5.0 | 20 | 0.9988 | 0.5 | |
|
| No log | 6.0 | 24 | 0.9854 | 0.5 | |
|
| No log | 7.0 | 28 | 0.9853 | 0.5 | |
|
| No log | 8.0 | 32 | 1.0182 | 0.5455 | |
|
| No log | 9.0 | 36 | 1.0077 | 0.5 | |
|
| No log | 10.0 | 40 | 1.0143 | 0.5 | |
|
| No log | 11.0 | 44 | 1.0110 | 0.5 | |
|
| No log | 12.0 | 48 | 0.9900 | 0.5 | |
|
| No log | 13.0 | 52 | 0.9904 | 0.5 | |
|
| No log | 14.0 | 56 | 1.0003 | 0.4545 | |
|
| No log | 15.0 | 60 | 1.0287 | 0.5455 | |
|
| No log | 16.0 | 64 | 1.0526 | 0.5455 | |
|
| No log | 17.0 | 68 | 1.0608 | 0.5 | |
|
| No log | 18.0 | 72 | 1.0643 | 0.5 | |
|
| No log | 19.0 | 76 | 1.0631 | 0.5 | |
|
| No log | 20.0 | 80 | 1.0586 | 0.4545 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.35.0.dev0 |
|
- Pytorch 1.13.1 |
|
- Datasets 2.14.5 |
|
- Tokenizers 0.14.1 |
|
|
