---
library_name: transformers
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: Learning_file
  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. -->

# Learning_file

This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3765
- Accuracy: 0.895

## 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: 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: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.2846        | 1.0   | 32   | 1.1305          | 0.745    |
| 0.9125        | 2.0   | 64   | 0.7700          | 0.845    |
| 0.5789        | 3.0   | 96   | 0.5487          | 0.86     |
| 0.4028        | 4.0   | 128  | 0.4588          | 0.87     |
| 0.3067        | 5.0   | 160  | 0.4303          | 0.87     |
| 0.2694        | 6.0   | 192  | 0.4051          | 0.87     |
| 0.2243        | 7.0   | 224  | 0.3891          | 0.89     |
| 0.2052        | 8.0   | 256  | 0.3834          | 0.89     |
| 0.1907        | 9.0   | 288  | 0.3778          | 0.89     |
| 0.1891        | 10.0  | 320  | 0.3765          | 0.895    |


### Framework versions

- Transformers 4.57.2
- Pytorch 2.9.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.1