metadata
license: apache-2.0
base_model: distilbert/distilbert-base-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: delivery-balaned-agent-only-distilbert-base-uncased-v3
results: []
delivery-balaned-agent-only-distilbert-base-uncased-v3
This model is a fine-tuned version of distilbert/distilbert-base-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.7994
- Accuracy: 0.6964
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: 45
- eval_batch_size: 45
- seed: 42
- 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 | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 334 | 1.0145 | 0.5616 |
| 0.9016 | 2.0 | 668 | 0.8638 | 0.6541 |
| 0.5615 | 3.0 | 1002 | 0.7400 | 0.7187 |
| 0.5615 | 4.0 | 1336 | 0.8197 | 0.6909 |
| 0.4481 | 5.0 | 1670 | 0.7994 | 0.6964 |
Framework versions
- Transformers 4.42.3
- Pytorch 2.1.2
- Datasets 2.20.0
- Tokenizers 0.19.1