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: 0.8260
- Matthews Correlation: 0.5367
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Matthews Correlation |
|---|---|---|---|---|
| 0.5186 | 1.0 | 535 | 0.4527 | 0.4532 |
| 0.3437 | 2.0 | 1070 | 0.4640 | 0.5025 |
| 0.2289 | 3.0 | 1605 | 0.6606 | 0.5127 |
| 0.1721 | 4.0 | 2140 | 0.8260 | 0.5367 |
| 0.1289 | 5.0 | 2675 | 0.8432 | 0.5309 |
Framework versions
- Transformers 4.45.1
- Pytorch 2.4.1+cu121
- Datasets 2.21.0
- Tokenizers 0.20.0