metadata
license: apache-2.0
author: njay
base_model: distilbert-base-uncased
tags:
- generated_from_trainer
- njay
metrics:
- accuracy
model-index:
- name: hface_mlops_demo_dbert
results: []
hface_mlops_demo_dbert
This model is a fine-tuned version of distilbert-base-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.4284
- Accuracy: 0.8
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: 5e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 5 | 0.6335 | 0.675 |
| 0.6036 | 2.0 | 10 | 0.5269 | 0.725 |
| 0.6036 | 3.0 | 15 | 0.4589 | 0.775 |
| 0.3639 | 4.0 | 20 | 0.4284 | 0.8 |
Framework versions
- Transformers 4.34.0
- Pytorch 2.1.0
- Datasets 2.14.6
- Tokenizers 0.14.1