metadata
library_name: transformers
license: mit
base_model: roberta-base
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: HW_DL_10_Competitions_v2
results: []
HW_DL_10_Competitions_v2
This model is a fine-tuned version of roberta-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.8879
- F1: 0.6233
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| 1.0635 | 1.0 | 563 | 0.9928 | 0.5588 |
| 0.8676 | 2.0 | 1126 | 0.9153 | 0.6085 |
| 0.7652 | 3.0 | 1689 | 0.8879 | 0.6233 |
Framework versions
- Transformers 4.47.0
- Pytorch 2.4.0
- Datasets 3.1.0
- Tokenizers 0.21.0