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: 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
