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: 2.6386
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 | 16 | 5.0567 |
| No log | 2.0 | 32 | 4.0548 |
| No log | 3.0 | 48 | 2.9992 |
| No log | 4.0 | 64 | 2.9496 |
| No log | 5.0 | 80 | 2.8201 |
| No log | 6.0 | 96 | 2.7632 |
| No log | 7.0 | 112 | 2.7562 |
| No log | 8.0 | 128 | 2.6751 |
| No log | 9.0 | 144 | 2.6288 |
| No log | 10.0 | 160 | 2.6386 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1