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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: trainer_1 |
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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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# trainer_1 |
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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: 4.3044 |
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- Precision: 0.5942 |
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- Recall: 0.5 |
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- F1: 0.5025 |
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- Accuracy: 0.5 |
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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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| 0.0878 | 0.57 | 30 | 4.2282 | 0.6436 | 0.5714 | 0.5864 | 0.5714 | |
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| 0.0 | 1.13 | 60 | 4.2780 | 0.5942 | 0.5 | 0.5025 | 0.5 | |
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| 0.0 | 1.7 | 90 | 4.2442 | 0.5942 | 0.5 | 0.5025 | 0.5 | |
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| 0.0 | 2.26 | 120 | 4.2581 | 0.5942 | 0.5 | 0.5025 | 0.5 | |
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| 0.0 | 2.83 | 150 | 4.2636 | 0.5942 | 0.5 | 0.5025 | 0.5 | |
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| 0.0 | 3.4 | 180 | 4.2857 | 0.5942 | 0.5 | 0.5025 | 0.5 | |
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| 0.0 | 3.96 | 210 | 4.2952 | 0.5942 | 0.5 | 0.5025 | 0.5 | |
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| 0.0 | 4.53 | 240 | 4.3025 | 0.5942 | 0.5 | 0.5025 | 0.5 | |
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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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