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README.md
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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: 0.7927
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- F1: 0.7727
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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: 16
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- eval_batch_size: 16
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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 | 61 | 0.6210 | 0.4068 |
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| No log | 2.0 | 122 | 0.4597 | 0.8261 |
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| No log | 3.0 | 183 | 0.4635 | 0.7917 |
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| No log | 4.0 | 244 | 0.5446 | 0.7342 |
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| No log | 5.0 | 305 | 0.5366 | 0.8000 |
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| No log | 6.0 | 366 | 0.6233 | 0.7789 |
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| No log | 7.0 | 427 | 0.6171 | 0.7955 |
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| No log | 8.0 | 488 | 0.6582 | 0.7955 |
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| 0.2985 | 9.0 | 549 | 0.7222 | 0.7816 |
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| 0.2985 | 10.0 | 610 | 0.7377 | 0.7865 |
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| 0.2985 | 11.0 | 671 | 0.7467 | 0.7727 |
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| 0.2985 | 12.0 | 732 | 0.7914 | 0.7826 |
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| 0.2985 | 13.0 | 793 | 0.7886 | 0.7727 |
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| 0.2985 | 14.0 | 854 | 0.7914 | 0.7727 |
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| 0.2985 | 15.0 | 915 | 0.7927 | 0.7727 |
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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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