metadata
license: apache-2.0
base_model: distilbert-base-cased
tags:
- generated_from_trainer
model-index:
- name: rh_qa_model
results: []
rh_qa_model
This model is a fine-tuned version of distilbert-base-cased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.4325
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 27 | 0.5354 |
| No log | 2.0 | 54 | 0.5203 |
| No log | 3.0 | 81 | 0.4536 |
| No log | 4.0 | 108 | 0.4493 |
| No log | 5.0 | 135 | 0.3256 |
| No log | 6.0 | 162 | 0.4192 |
| No log | 7.0 | 189 | 0.5078 |
| No log | 8.0 | 216 | 0.4952 |
| No log | 9.0 | 243 | 0.4654 |
| No log | 10.0 | 270 | 0.4325 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1