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--- |
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license: apache-2.0 |
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base_model: distilbert-base-cased |
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tags: |
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- generated_from_trainer |
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metrics: |
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- precision |
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- recall |
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- f1 |
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- accuracy |
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model-index: |
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- name: trainer11 |
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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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# trainer11 |
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This model is a fine-tuned version of [distilbert-base-cased](https://huggingface.co/distilbert-base-cased) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 3.0559 |
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- Precision: 0.6119 |
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- Recall: 0.5833 |
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- F1: 0.5850 |
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- Accuracy: 0.5833 |
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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: 5e-05 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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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: 5 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:| |
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| 0.0243 | 0.57 | 30 | 2.3196 | 0.6424 | 0.5952 | 0.5823 | 0.5952 | |
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| 0.0329 | 1.13 | 60 | 2.9356 | 0.4952 | 0.5595 | 0.5177 | 0.5595 | |
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| 0.0724 | 1.7 | 90 | 3.0099 | 0.6234 | 0.5595 | 0.5412 | 0.5595 | |
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| 0.052 | 2.26 | 120 | 2.4391 | 0.6305 | 0.6190 | 0.6103 | 0.6190 | |
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| 0.0019 | 2.83 | 150 | 3.2342 | 0.6364 | 0.6071 | 0.6002 | 0.6071 | |
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| 0.0002 | 3.4 | 180 | 3.2336 | 0.6024 | 0.5714 | 0.5666 | 0.5714 | |
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| 0.0002 | 3.96 | 210 | 3.0605 | 0.6136 | 0.5833 | 0.5851 | 0.5833 | |
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| 0.0001 | 4.53 | 240 | 3.0569 | 0.6119 | 0.5833 | 0.5850 | 0.5833 | |
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### Framework versions |
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- Transformers 4.38.2 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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