---
library_name: transformers
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: datrix-text-classification-job_35666fe1
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# datrix-text-classification-job_35666fe1

This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2504
- Accuracy: 0.94

## 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: 16
- eval_batch_size: 32
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.7420        | 1.0   | 113  | 0.3796          | 0.935    |
| 0.3012        | 2.0   | 226  | 0.2669          | 0.93     |
| 0.1477        | 3.0   | 339  | 0.2515          | 0.93     |
| 0.0918        | 4.0   | 452  | 0.2729          | 0.925    |
| 0.0420        | 5.0   | 565  | 0.2504          | 0.94     |


### Framework versions

- Transformers 5.9.0
- Pytorch 2.12.0+cu130
- Datasets 5.0.0
- Tokenizers 0.22.2