metadata
license: mit
base_model: xlm-roberta-base
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: SEMEVAL23_TASK3_SUBTASK1_MULTI
results: []
SEMEVAL23_TASK3_SUBTASK1_MULTI
This model is a fine-tuned version of 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