Vishnou/distilbert_base_SST2
Browse files- README.md +58 -1
- model.safetensors +1 -1
README.md
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- generated_from_trainer
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datasets:
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- sst2
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model-index:
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- name: distilbert_base_SST2
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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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# distilbert_base_SST2
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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 sst2 dataset.
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## Model description
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- lr_scheduler_type: linear
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- num_epochs: 2
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### Framework versions
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- Transformers 4.35.2
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- generated_from_trainer
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datasets:
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- sst2
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metrics:
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- accuracy
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model-index:
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- name: distilbert_base_SST2
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results:
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- task:
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name: Text Classification
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type: text-classification
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dataset:
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name: sst2
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type: sst2
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config: default
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split: validation
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args: default
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.8979357798165137
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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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# distilbert_base_SST2
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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 sst2 dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.4747
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- Accuracy: 0.8979
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## Model description
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- lr_scheduler_type: linear
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- num_epochs: 2
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:-----:|:---------------:|:--------:|
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| 0.1303 | 0.06 | 500 | 0.6599 | 0.8784 |
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| 0.1781 | 0.12 | 1000 | 0.5644 | 0.8716 |
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| 0.1856 | 0.18 | 1500 | 0.5357 | 0.8716 |
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| 0.1833 | 0.24 | 2000 | 0.6749 | 0.8727 |
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| 0.1887 | 0.3 | 2500 | 0.4967 | 0.8945 |
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| 0.1873 | 0.36 | 3000 | 0.6415 | 0.8658 |
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| 0.1787 | 0.42 | 3500 | 0.4886 | 0.9014 |
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| 0.1979 | 0.48 | 4000 | 0.4122 | 0.8865 |
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| 0.1662 | 0.53 | 4500 | 0.5310 | 0.8888 |
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| 0.1718 | 0.59 | 5000 | 0.5415 | 0.8945 |
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| 0.1808 | 0.65 | 5500 | 0.4059 | 0.8956 |
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| 0.1666 | 0.71 | 6000 | 0.4731 | 0.8876 |
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| 0.1762 | 0.77 | 6500 | 0.3817 | 0.8807 |
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| 0.1782 | 0.83 | 7000 | 0.4583 | 0.8956 |
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| 0.1739 | 0.89 | 7500 | 0.4756 | 0.8888 |
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| 0.1715 | 0.95 | 8000 | 0.4871 | 0.8911 |
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| 0.1682 | 1.01 | 8500 | 0.4936 | 0.8922 |
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| 0.095 | 1.07 | 9000 | 0.4956 | 0.8899 |
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| 0.0928 | 1.13 | 9500 | 0.6543 | 0.8716 |
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| 0.0855 | 1.19 | 10000 | 0.5812 | 0.8956 |
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| 0.1032 | 1.25 | 10500 | 0.6683 | 0.8716 |
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| 0.0982 | 1.31 | 11000 | 0.6076 | 0.8842 |
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| 0.0907 | 1.37 | 11500 | 0.5826 | 0.8956 |
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| 0.1085 | 1.43 | 12000 | 0.4708 | 0.8922 |
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| 0.0785 | 1.48 | 12500 | 0.5486 | 0.8956 |
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| 0.0903 | 1.54 | 13000 | 0.6104 | 0.875 |
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| 0.0764 | 1.6 | 13500 | 0.5576 | 0.8888 |
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| 0.0982 | 1.66 | 14000 | 0.5447 | 0.8888 |
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| 0.0864 | 1.72 | 14500 | 0.4833 | 0.8922 |
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| 0.0888 | 1.78 | 15000 | 0.4737 | 0.8945 |
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| 0.0775 | 1.84 | 15500 | 0.4818 | 0.8991 |
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| 0.0958 | 1.9 | 16000 | 0.4674 | 0.8991 |
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| 0.0805 | 1.96 | 16500 | 0.4747 | 0.8979 |
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### Framework versions
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- Transformers 4.35.2
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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-
oid sha256:
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size 267832560
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version https://git-lfs.github.com/spec/v1
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oid sha256:58706fe2ffaaf594913c4a34d0f1e9791f664b9646642fe9358ffc0007322a73
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size 267832560
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