|
--- |
|
license: mit |
|
base_model: xlm-roberta-base |
|
tags: |
|
- generated_from_trainer |
|
metrics: |
|
- accuracy |
|
model-index: |
|
- name: xmlRoBert-Balanced-trimmed-10epoch-Trainer |
|
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-10epoch-Trainer |
|
|
|
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: 1.1137 |
|
- Accuracy: 0.3125 |
|
|
|
## 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: 10 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
|
|:-------------:|:-----:|:----:|:---------------:|:--------:| |
|
| No log | 1.0 | 3 | 1.1523 | 0.25 | |
|
| No log | 2.0 | 6 | 1.1465 | 0.25 | |
|
| No log | 3.0 | 9 | 1.1425 | 0.25 | |
|
| No log | 4.0 | 12 | 1.1316 | 0.25 | |
|
| No log | 5.0 | 15 | 1.1158 | 0.25 | |
|
| No log | 6.0 | 18 | 1.1335 | 0.375 | |
|
| No log | 7.0 | 21 | 1.1214 | 0.25 | |
|
| No log | 8.0 | 24 | 1.1198 | 0.25 | |
|
| No log | 9.0 | 27 | 1.1155 | 0.25 | |
|
| No log | 10.0 | 30 | 1.1137 | 0.3125 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.35.0.dev0 |
|
- Pytorch 1.13.1 |
|
- Datasets 2.14.5 |
|
- Tokenizers 0.14.1 |
|
|
