---
license: apache-2.0
base_model: Chrisantha/distilbert-base-uncased-finetuned-synthetic-finetuned-synthetic
tags:
- generated_from_trainer
model-index:
- name: distilbert-base-uncased-finetuned-synthetic-finetuned-synthetic-finetuned-synthetic
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# distilbert-base-uncased-finetuned-synthetic-finetuned-synthetic-finetuned-synthetic

This model is a fine-tuned version of [Chrisantha/distilbert-base-uncased-finetuned-synthetic-finetuned-synthetic](https://huggingface.co/Chrisantha/distilbert-base-uncased-finetuned-synthetic-finetuned-synthetic) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.3193

## 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: 3.0
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 1    | 1.4898          |
| No log        | 2.0   | 2    | 1.5220          |
| No log        | 3.0   | 3    | 1.5872          |


### Framework versions

- Transformers 4.41.0
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1