---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: llm-selector
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# llm-selector

This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.7315
- Accuracy: 0.5048

## 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: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 118  | 1.8920          | 0.3714   |
| No log        | 2.0   | 236  | 1.7753          | 0.5143   |
| No log        | 3.0   | 354  | 1.7671          | 0.4952   |
| No log        | 4.0   | 472  | 1.7441          | 0.5048   |
| 1.8665        | 5.0   | 590  | 1.7315          | 0.5048   |
| 1.8665        | 6.0   | 708  | 1.7413          | 0.5048   |
| 1.8665        | 7.0   | 826  | 1.7378          | 0.4667   |
| 1.8665        | 8.0   | 944  | 1.7426          | 0.4667   |
| 1.7254        | 9.0   | 1062 | 1.7513          | 0.4476   |
| 1.7254        | 10.0  | 1180 | 1.7513          | 0.4476   |


### Framework versions

- Transformers 4.30.2
- Pytorch 2.0.1
- Datasets 2.12.0
- Tokenizers 0.13.3