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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_itr1_2e-05_all_26_02_2022-04_03_26 |
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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_itr1_2e-05_all_26_02_2022-04_03_26 |
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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: 0.4676 |
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- Accuracy: 0.8299 |
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- F1: 0.8892 |
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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: 2e-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 | 0.4087 | 0.8073 | 0.8754 | |
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| No log | 2.0 | 390 | 0.3952 | 0.8159 | 0.8803 | |
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| 0.4084 | 3.0 | 585 | 0.4183 | 0.8195 | 0.8831 | |
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| 0.4084 | 4.0 | 780 | 0.4596 | 0.8280 | 0.8867 | |
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| 0.4084 | 5.0 | 975 | 0.4919 | 0.8280 | 0.8873 | |
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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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