|
--- |
|
license: mit |
|
base_model: xlm-roberta-base |
|
tags: |
|
- generated_from_trainer |
|
metrics: |
|
- f1 |
|
model-index: |
|
- name: SEMEVAL23_TASK3_SUBTASK1_MULTI |
|
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. --> |
|
|
|
# SEMEVAL23_TASK3_SUBTASK1_MULTI |
|
|
|
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: 0.7001 |
|
- F1: 0.6657 |
|
|
|
## 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: 8 |
|
- eval_batch_size: 8 |
|
- 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 | |
|
|:-------------:|:-----:|:----:|:---------------:|:------:| |
|
| 0.834 | 1.0 | 160 | 1.0521 | 0.3659 | |
|
| 0.1947 | 2.0 | 320 | 0.8869 | 0.5581 | |
|
| 1.2275 | 3.0 | 480 | 0.8091 | 0.6190 | |
|
| 0.0098 | 4.0 | 640 | 0.6704 | 0.6538 | |
|
| 2.6387 | 5.0 | 800 | 0.7001 | 0.6657 | |
|
| 0.0077 | 6.0 | 960 | 1.2344 | 0.6278 | |
|
| 0.0104 | 7.0 | 1120 | 1.3100 | 0.6379 | |
|
| 0.0007 | 8.0 | 1280 | 1.6961 | 0.5974 | |
|
| 0.0019 | 9.0 | 1440 | 1.4126 | 0.6530 | |
|
| 0.0191 | 10.0 | 1600 | 1.4652 | 0.6444 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.31.0 |
|
- Pytorch 2.0.1+cu118 |
|
- Datasets 2.14.0 |
|
- Tokenizers 0.13.3 |
|
|
