---
library_name: transformers
base_model: biggy-smiley/distilbert-base-uncased-fibe-v5
tags:
- generated_from_trainer
model-index:
- name: distilbert-base-uncased-fibe-v8-finetuned
  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. -->

# distilbert-base-uncased-fibe-v8-finetuned

This model is a fine-tuned version of [biggy-smiley/distilbert-base-uncased-fibe-v5](https://huggingface.co/biggy-smiley/distilbert-base-uncased-fibe-v5) on the None dataset.
It achieves the following results on the evaluation set:
- eval_loss: 0.7672
- eval_runtime: 50.1816
- eval_samples_per_second: 103.624
- eval_steps_per_second: 0.817
- epoch: 1.8606
- step: 8888

## 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: 0.0001
- 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: 5

### Framework versions

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