---
license: mit
base_model: microsoft/deberta-v3-large
tags:
- generated_from_trainer
model-index:
- name: deberta-v3-large-kaggle-mlm
  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. -->

# deberta-v3-large-kaggle-mlm

This model is a fine-tuned version of [microsoft/deberta-v3-large](https://huggingface.co./microsoft/deberta-v3-large) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.3182

## 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: 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: 25
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step   | Validation Loss |
|:-------------:|:-----:|:------:|:---------------:|
| 3.1114        | 1.0   | 6848   | 2.6616          |
| 2.2122        | 2.0   | 13696  | 1.9734          |
| 2.0848        | 3.0   | 20544  | 1.9930          |
| 1.8056        | 4.0   | 27392  | 1.7167          |
| 1.7003        | 5.0   | 34240  | 1.8419          |
| 1.6414        | 6.0   | 41088  | 1.5828          |
| 1.583         | 7.0   | 47936  | 1.5298          |
| 1.5245        | 8.0   | 54784  | 1.4964          |
| 1.491         | 9.0   | 61632  | 1.4671          |
| 1.4662        | 10.0  | 68480  | 1.4805          |
| 1.426         | 11.0  | 75328  | 1.4506          |
| 1.3924        | 12.0  | 82176  | 1.4272          |
| 1.3797        | 13.0  | 89024  | 1.4092          |
| 1.3713        | 14.0  | 95872  | 1.3947          |
| 1.3444        | 15.0  | 102720 | 1.3765          |
| 1.3414        | 16.0  | 109568 | 1.3636          |
| 1.3256        | 17.0  | 116416 | 1.3700          |
| 1.3084        | 18.0  | 123264 | 1.3607          |
| 1.2925        | 19.0  | 130112 | 1.3428          |
| 1.2615        | 20.0  | 136960 | 1.3483          |
| 1.2733        | 21.0  | 143808 | 1.3440          |
| 1.2809        | 22.0  | 150656 | 1.3314          |
| 1.2576        | 23.0  | 157504 | 1.3388          |
| 1.2606        | 24.0  | 164352 | 1.3126          |
| 1.2608        | 25.0  | 171200 | 1.3211          |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.3.1+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1