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--- |
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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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base_model: sentence-transformers/msmarco-distilbert-base-tas-b |
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model-index: |
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- name: sentence-transformers-msmarco-distilbert-base-tas-b-twitter_sentiment |
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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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# sentence-transformers-msmarco-distilbert-base-tas-b-twitter_sentiment |
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This model is a fine-tuned version of [sentence-transformers/msmarco-distilbert-base-tas-b](https://huggingface.co/sentence-transformers/msmarco-distilbert-base-tas-b) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.6954 |
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- Accuracy: 0.7146 |
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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: 1e-06 |
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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: 20 |
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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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| 0.8892 | 1.0 | 1387 | 0.8472 | 0.6180 | |
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| 0.7965 | 2.0 | 2774 | 0.7797 | 0.6609 | |
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| 0.7459 | 3.0 | 4161 | 0.7326 | 0.6872 | |
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| 0.7096 | 4.0 | 5548 | 0.7133 | 0.6995 | |
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| 0.6853 | 5.0 | 6935 | 0.6998 | 0.7002 | |
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| 0.6561 | 6.0 | 8322 | 0.6949 | 0.7059 | |
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| 0.663 | 7.0 | 9709 | 0.6956 | 0.7077 | |
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| 0.6352 | 8.0 | 11096 | 0.6890 | 0.7164 | |
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| 0.6205 | 9.0 | 12483 | 0.6888 | 0.7117 | |
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| 0.6203 | 10.0 | 13870 | 0.6871 | 0.7121 | |
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| 0.6005 | 11.0 | 15257 | 0.6879 | 0.7171 | |
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| 0.5985 | 12.0 | 16644 | 0.6870 | 0.7139 | |
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| 0.5839 | 13.0 | 18031 | 0.6882 | 0.7164 | |
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| 0.5861 | 14.0 | 19418 | 0.6910 | 0.7124 | |
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| 0.5732 | 15.0 | 20805 | 0.6916 | 0.7153 | |
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| 0.5797 | 16.0 | 22192 | 0.6947 | 0.7110 | |
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| 0.5565 | 17.0 | 23579 | 0.6930 | 0.7175 | |
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| 0.5636 | 18.0 | 24966 | 0.6959 | 0.7106 | |
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| 0.5642 | 19.0 | 26353 | 0.6952 | 0.7132 | |
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| 0.5717 | 20.0 | 27740 | 0.6954 | 0.7146 | |
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### Framework versions |
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- Transformers 4.13.0.dev0 |
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- Pytorch 1.10.0+cu111 |
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- Datasets 1.16.1 |
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- Tokenizers 0.10.3 |
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