---
library_name: transformers
base_model: microsoft/longcoder-base
tags:
- generated_from_trainer
model-index:
- name: longcoder-html-nodes-mc-classifier-v1
  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. -->

# longcoder-html-nodes-mc-classifier-v1

This model is a fine-tuned version of [microsoft/longcoder-base](https://huggingface.co/microsoft/longcoder-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6749

## 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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Use 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: 3

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.4083        | 1.0   | 27793 | 0.6749          |
| 0.2837        | 2.0   | 55586 | 0.7262          |
| 0.2768        | 3.0   | 83379 | 0.7985          |


### Framework versions

- Transformers 4.55.2
- Pytorch 2.8.0+cu128
- Datasets 4.0.0
- Tokenizers 0.21.4