metadata
library_name: transformers
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_trainer
model-index:
- name: my_awesome_qa_model
results: []
my_awesome_qa_model
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: 1.5971
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: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 63 | 3.4355 |
| No log | 2.0 | 126 | 2.6230 |
| No log | 3.0 | 189 | 1.8876 |
| No log | 4.0 | 252 | 1.6358 |
| No log | 5.0 | 315 | 1.5591 |
| No log | 6.0 | 378 | 1.5578 |
| No log | 7.0 | 441 | 1.5629 |
| 1.9367 | 8.0 | 504 | 1.5743 |
| 1.9367 | 9.0 | 567 | 1.5862 |
| 1.9367 | 10.0 | 630 | 1.5971 |
Framework versions
- Transformers 4.47.1
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0