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--- |
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license: apache-2.0 |
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tags: |
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- generated_from_trainer |
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metrics: |
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- f1 |
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model-index: |
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- name: ec_classfication |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# ec_classfication |
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This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.6543 |
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- F1: 0.7609 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 1e-05 |
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- train_batch_size: 32 |
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- eval_batch_size: 32 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 15 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | F1 | |
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|:-------------:|:-----:|:----:|:---------------:|:------:| |
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| No log | 1.0 | 31 | 0.6418 | 0.4262 | |
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| No log | 2.0 | 62 | 0.4992 | 0.7342 | |
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| No log | 3.0 | 93 | 0.4732 | 0.7879 | |
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| No log | 4.0 | 124 | 0.4817 | 0.7089 | |
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| No log | 5.0 | 155 | 0.4872 | 0.7742 | |
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| No log | 6.0 | 186 | 0.5026 | 0.7872 | |
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| No log | 7.0 | 217 | 0.5202 | 0.7778 | |
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| No log | 8.0 | 248 | 0.5280 | 0.7711 | |
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| No log | 9.0 | 279 | 0.5629 | 0.75 | |
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| No log | 10.0 | 310 | 0.6319 | 0.7872 | |
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| No log | 11.0 | 341 | 0.6363 | 0.7872 | |
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| No log | 12.0 | 372 | 0.6850 | 0.7708 | |
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| No log | 13.0 | 403 | 0.6702 | 0.7872 | |
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| No log | 14.0 | 434 | 0.6495 | 0.7692 | |
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| No log | 15.0 | 465 | 0.6543 | 0.7609 | |
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### Framework versions |
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- Transformers 4.27.3 |
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- Pytorch 2.0.0+cu118 |
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- Datasets 2.11.0 |
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- Tokenizers 0.13.2 |
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