---
base_model: facebook/bart-base
library_name: transformers
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: bart_tr_dependencyparsing
  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. -->

# bart_tr_dependencyparsing

This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0136

## 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: 5e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3

### Training results

| Training Loss | Epoch  | Step  | Validation Loss |
|:-------------:|:------:|:-----:|:---------------:|
| 0.3664        | 0.2187 | 1000  | 0.0402          |
| 0.0437        | 0.4374 | 2000  | 0.0287          |
| 0.0358        | 0.6562 | 3000  | 0.0250          |
| 0.0304        | 0.8749 | 4000  | 0.0223          |
| 0.0276        | 1.0936 | 5000  | 0.0203          |
| 0.0246        | 1.3123 | 6000  | 0.0195          |
| 0.0234        | 1.5311 | 7000  | 0.0181          |
| 0.0227        | 1.7498 | 8000  | 0.0167          |
| 0.0213        | 1.9685 | 9000  | 0.0157          |
| 0.0193        | 2.1872 | 10000 | 0.0149          |
| 0.0184        | 2.4059 | 11000 | 0.0144          |
| 0.0177        | 2.6247 | 12000 | 0.0140          |
| 0.017         | 2.8434 | 13000 | 0.0136          |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.4.0+cu121
- Datasets 3.0.0
- Tokenizers 0.19.1