metadata
license: apache-2.0
base_model: distilbert-base-cased
tags:
- generated_from_trainer
model-index:
- name: distilbert-base-cased-logdetective-extraction-retrained
results: []
distilbert-base-cased-logdetective-extraction-retrained
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: 2.3047
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: 20
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 9 | 5.4981 |
| No log | 2.0 | 18 | 4.7485 |
| No log | 3.0 | 27 | 4.2960 |
| No log | 4.0 | 36 | 4.0269 |
| No log | 5.0 | 45 | 3.0733 |
| No log | 6.0 | 54 | 2.9759 |
| No log | 7.0 | 63 | 2.5961 |
| No log | 8.0 | 72 | 2.3365 |
| No log | 9.0 | 81 | 2.4470 |
| No log | 10.0 | 90 | 2.3994 |
| No log | 11.0 | 99 | 2.3914 |
| No log | 12.0 | 108 | 2.3324 |
| No log | 13.0 | 117 | 2.2978 |
| No log | 14.0 | 126 | 2.2797 |
| No log | 15.0 | 135 | 2.2886 |
| No log | 16.0 | 144 | 2.2969 |
| No log | 17.0 | 153 | 2.3091 |
| No log | 18.0 | 162 | 2.2597 |
| No log | 19.0 | 171 | 2.3080 |
| No log | 20.0 | 180 | 2.3047 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1