| --- |
| 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 |
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| More information needed |
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|
| ## Intended uses & limitations |
|
|
| More information needed |
|
|
| ## Training and evaluation data |
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|
| More information needed |
|
|
| ## Training procedure |
|
|
| ### Training hyperparameters |
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|
| 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 | |
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|
| ### Framework versions |
|
|
| - Transformers 4.44.2 |
| - Pytorch 2.4.0+cu121 |
| - Datasets 3.0.0 |
| - Tokenizers 0.19.1 |
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|
