metadata
base_model: facebook/bart-base
library_name: transformers
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: bart_tr_dependencyparsing
results: []
bart_tr_dependencyparsing
This model is a fine-tuned version of 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