---
library_name: transformers
base_model: pilotj/distilbert-base-uncased-fibe-full-finetuned
tags:
- generated_from_trainer
model-index:
- name: distil-bert-tweaking
  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. -->

# distil-bert-tweaking

This model is a fine-tuned version of [pilotj/distilbert-base-uncased-fibe-full-finetuned](https://huggingface.co/pilotj/distilbert-base-uncased-fibe-full-finetuned) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4871

## 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: 8e-05
- train_batch_size: 32
- eval_batch_size: 128
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.5
- num_epochs: 2

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 0.3542        | 0.1905 | 500  | 0.4708          |
| 0.418         | 0.3810 | 1000 | 0.4670          |
| 0.4303        | 0.5714 | 1500 | 0.4833          |
| 0.4404        | 0.7619 | 2000 | 0.5177          |
| 0.4589        | 0.9524 | 2500 | 0.5050          |
| 0.3911        | 1.1429 | 3000 | 0.5887          |
| 0.3654        | 1.3333 | 3500 | 0.5227          |
| 0.3415        | 1.5238 | 4000 | 0.5158          |
| 0.3284        | 1.7143 | 4500 | 0.5228          |
| 0.3178        | 1.9048 | 5000 | 0.4871          |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.4.0
- Datasets 3.0.0
- Tokenizers 0.19.1