---
library_name: transformers
base_model: biggy-smiley/distilbert-base-uncased-fibe-v4
tags:
- generated_from_trainer
model-index:
- name: results
  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. -->

# results

This model is a fine-tuned version of [biggy-smiley/distilbert-base-uncased-fibe-v4](https://huggingface.co/biggy-smiley/distilbert-base-uncased-fibe-v4) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6874

## 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: 1e-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
- num_epochs: 2

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.2954        | 1.0   | 3250 | 0.6544          |
| 0.2208        | 2.0   | 6500 | 0.6874          |


### Framework versions

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