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

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:
- eval_loss: 0.4621
- eval_runtime: 244.5245
- eval_samples_per_second: 106.946
- eval_steps_per_second: 0.838
- epoch: 0.4331
- step: 9000

## 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: 1

### Framework versions

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