metadata
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_trainer
metrics:
- matthews_correlation
model-index:
- name: work1_AIA_LLM_B_132001
results: []
work1_AIA_LLM_B_132001
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: 1.2488
- Matthews Correlation: 0.5406
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 |
|---|---|---|---|---|
| 0.1282 | 1.0 | 535 | 0.7020 | 0.5086 |
| 0.0923 | 2.0 | 1070 | 1.0002 | 0.5173 |
| 0.0693 | 3.0 | 1605 | 1.0410 | 0.5195 |
| 0.0524 | 4.0 | 2140 | 1.2027 | 0.5309 |
| 0.042 | 5.0 | 2675 | 1.2488 | 0.5406 |
Framework versions
- Transformers 4.39.1
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2