transformers tensorboard safetensors distilbert question-answering generated_from_trainer base_model:distilbert-base-cased license:apache-2.0 endpoints_compatible region:us
---
license: apache-2.0
base_model: distilbert-base-cased
tags:
- generated_from_trainer
model-index:
- name: distilbert-base-cased-logdetective-extraction-retrained
  results: []
---

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# distilbert-base-cased-logdetective-extraction-retrained

This model is a fine-tuned version of [distilbert-base-cased](https://huggingface.co/distilbert-base-cased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 3.8233

## 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   | 11   | 5.6496          |
| No log        | 2.0   | 22   | 4.6587          |
| No log        | 3.0   | 33   | 3.9848          |
| No log        | 4.0   | 44   | 3.8507          |
| No log        | 5.0   | 55   | 3.8008          |
| No log        | 6.0   | 66   | 3.8792          |
| No log        | 7.0   | 77   | 3.7424          |
| No log        | 8.0   | 88   | 3.7718          |
| No log        | 9.0   | 99   | 3.7890          |
| No log        | 10.0  | 110  | 3.7310          |
| No log        | 11.0  | 121  | 3.7770          |
| No log        | 12.0  | 132  | 3.8769          |
| No log        | 13.0  | 143  | 3.8011          |
| No log        | 14.0  | 154  | 3.7797          |
| No log        | 15.0  | 165  | 3.7930          |
| No log        | 16.0  | 176  | 3.8179          |
| No log        | 17.0  | 187  | 3.7452          |
| No log        | 18.0  | 198  | 3.8175          |
| No log        | 19.0  | 209  | 3.8055          |
| No log        | 20.0  | 220  | 3.8233          |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1
