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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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- accuracy |
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- f1 |
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model-index: |
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- name: finetuned_sentence_itr4_3e-05_all_27_02_2022-18_46_19 |
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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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# finetuned_sentence_itr4_3e-05_all_27_02_2022-18_46_19 |
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This model is a fine-tuned version of [distilbert-base-uncased-finetuned-sst-2-english](https://huggingface.co/distilbert-base-uncased-finetuned-sst-2-english) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3962 |
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- Accuracy: 0.8231 |
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- F1: 0.8873 |
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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: 3e-05 |
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- train_batch_size: 64 |
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- eval_batch_size: 64 |
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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 | Accuracy | F1 | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:| |
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| No log | 1.0 | 195 | 0.3591 | 0.8366 | 0.8950 | |
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| No log | 2.0 | 390 | 0.3558 | 0.8415 | 0.9012 | |
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| 0.3647 | 3.0 | 585 | 0.4049 | 0.8427 | 0.8983 | |
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| 0.3647 | 4.0 | 780 | 0.5030 | 0.8378 | 0.8949 | |
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| 0.3647 | 5.0 | 975 | 0.5719 | 0.8354 | 0.8943 | |
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### Framework versions |
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- Transformers 4.15.0 |
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- Pytorch 1.10.1+cu113 |
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- Datasets 1.18.0 |
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- Tokenizers 0.10.3 |
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