| --- |
| library_name: transformers |
| license: apache-2.0 |
| base_model: distilbert/distilbert-base-uncased |
| tags: |
| - generated_from_trainer |
| model-index: |
| - name: practica_3_model |
| 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. --> |
|
|
| # practica_3_model |
|
|
| This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 2.6600 |
| - Start Accuracy: 0.3233 |
| - End Accuracy: 0.33 |
| - Total Accuracy: 0.3267 |
|
|
| ## Model description |
|
|
| More information needed |
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|
| ## Intended uses & limitations |
|
|
| More information needed |
|
|
| ## Training and evaluation data |
|
|
| More information needed |
|
|
| ## Training procedure |
|
|
| ### Training hyperparameters |
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|
| The following hyperparameters were used during training: |
| - learning_rate: 2e-05 |
| - train_batch_size: 16 |
| - eval_batch_size: 16 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - num_epochs: 4 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | Start Accuracy | End Accuracy | Total Accuracy | |
| |:-------------:|:-----:|:----:|:---------------:|:--------------:|:------------:|:--------------:| |
| | 3.6709 | 1.0 | 88 | 3.6060 | 0.1367 | 0.1133 | 0.125 | |
| | 3.171 | 2.0 | 176 | 3.1622 | 0.1967 | 0.15 | 0.1733 | |
| | 2.6294 | 3.0 | 264 | 2.8054 | 0.2983 | 0.275 | 0.2867 | |
| | 2.3842 | 4.0 | 352 | 2.6600 | 0.3233 | 0.33 | 0.3267 | |
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| ### Framework versions |
|
|
| - Transformers 4.44.2 |
| - Pytorch 2.5.0+cu121 |
| - Datasets 3.0.2 |
| - Tokenizers 0.19.1 |
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|
