metadata
license: apache-2.0
base_model: distilroberta-base
tags:
- generated_from_trainer
model-index:
- name: distilroberta-base_task2-2_macrof1
results: []
distilroberta-base_task2-2_macrof1
This model is a fine-tuned version of distilroberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.6203
- Macro F1: 0.3090
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: 1e-06
- train_batch_size: 10
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Macro F1 |
|---|---|---|---|---|
| 0.6541 | 1.0 | 553 | 0.6474 | 0.2768 |
| 0.7044 | 2.0 | 1106 | 0.6376 | 0.2768 |
| 0.6615 | 3.0 | 1659 | 0.6390 | 0.2768 |
| 0.6289 | 4.0 | 2212 | 0.6355 | 0.2768 |
| 0.5047 | 5.0 | 2765 | 0.6372 | 0.2841 |
| 0.5894 | 6.0 | 3318 | 0.6296 | 0.2983 |
| 0.5401 | 7.0 | 3871 | 0.6203 | 0.3090 |
| 0.7215 | 8.0 | 4424 | 0.6263 | 0.3080 |
| 0.6368 | 9.0 | 4977 | 0.6370 | 0.3033 |
| 0.4872 | 10.0 | 5530 | 0.6349 | 0.3024 |
Framework versions
- Transformers 4.41.1
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1