metadata
license: apache-2.0
base_model: distilbert/distilbert-base-uncased
tags:
- generated_from_trainer
model-index:
- name: shipping_qa_model_30_04_24
results: []
shipping_qa_model_30_04_24
This model is a fine-tuned version of distilbert/distilbert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 4.4199
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: 1e-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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 28 | 4.3952 |
| No log | 2.0 | 56 | 4.3642 |
| No log | 3.0 | 84 | 4.3808 |
| No log | 4.0 | 112 | 4.3586 |
| No log | 5.0 | 140 | 4.4211 |
| No log | 6.0 | 168 | 4.3870 |
| No log | 7.0 | 196 | 4.3894 |
| No log | 8.0 | 224 | 4.4035 |
| No log | 9.0 | 252 | 4.4117 |
| No log | 10.0 | 280 | 4.4199 |
Framework versions
- Transformers 4.41.0.dev0
- Pytorch 2.2.2+cu118
- Datasets 2.18.0
- Tokenizers 0.19.1