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: 0.9305
- Matthews Correlation: 0.5116
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: 4.6144778537845165e-05
- train_batch_size: 32
- eval_batch_size: 16
- seed: 3
- 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 |
|---|---|---|---|---|
| No log | 1.0 | 268 | 0.4654 | 0.4612 |
| 0.415 | 2.0 | 536 | 0.5235 | 0.4858 |
| 0.415 | 3.0 | 804 | 0.6812 | 0.4887 |
| 0.1523 | 4.0 | 1072 | 0.8019 | 0.5029 |
| 0.1523 | 5.0 | 1340 | 0.9305 | 0.5116 |
Framework versions
- Transformers 4.39.1
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
- Downloads last month
- 11
Inference Providers
NEW
This model is not currently available via any of the supported third-party Inference Providers, and
the model is not deployed on the HF Inference API.
Model tree for richardchiu/work1_AIA_LLM_B_132001
Base model
distilbert/distilbert-base-uncased