metadata
library_name: transformers
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_trainer
metrics:
- matthews_correlation
model-index:
- name: llm24
results: []
llm24
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.8959
- Matthews Correlation: 0.5539
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: 2.524386238943955e-05
- train_batch_size: 8
- eval_batch_size: 16
- seed: 11
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
Training results
| Training Loss | Epoch | Step | Validation Loss | Matthews Correlation |
|---|---|---|---|---|
| 0.4835 | 1.0 | 1069 | 0.4687 | 0.4579 |
| 0.3549 | 2.0 | 2138 | 0.5878 | 0.5113 |
| 0.2356 | 3.0 | 3207 | 0.7891 | 0.5378 |
| 0.1421 | 4.0 | 4276 | 0.8959 | 0.5539 |
Framework versions
- Transformers 4.45.1
- Pytorch 2.4.1+cu121
- Datasets 2.21.0
- Tokenizers 0.20.0