---
base_model: huawei-noah/TinyBERT_General_4L_312D
tags:
- generated_from_trainer
datasets:
- eli5_category
model-index:
- name: language-modeling-model
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# language-modeling-model

This model is a fine-tuned version of [huawei-noah/TinyBERT_General_4L_312D](https://huggingface.co/huawei-noah/TinyBERT_General_4L_312D) on the eli5_category dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0978

## 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

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.9768        | 1.0   | 577  | 1.4165          |
| 1.5277        | 2.0   | 1154 | 1.1664          |
| 1.3289        | 3.0   | 1731 | 1.0978          |


### Framework versions

- Transformers 4.40.0
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1