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--- |
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license: apache-2.0 |
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base_model: sentence-transformers/all-mpnet-base-v2 |
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tags: |
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- generated_from_trainer |
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metrics: |
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- f1 |
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- accuracy |
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model-index: |
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- name: Hub-Report-20240803105920 |
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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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# Hub-Report-20240803105920 |
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This model is a fine-tuned version of [sentence-transformers/all-mpnet-base-v2](https://huggingface.co/sentence-transformers/all-mpnet-base-v2) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2013 |
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- F1: 0.7324 |
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- Roc Auc: 0.8398 |
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- Accuracy: 0.7131 |
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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: 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: 13 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | F1 | Roc Auc | Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|:--------:| |
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| No log | 1.0 | 277 | 0.3087 | 0.2615 | 0.5753 | 0.1530 | |
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| 0.351 | 2.0 | 554 | 0.2457 | 0.5623 | 0.7097 | 0.4357 | |
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| 0.351 | 3.0 | 831 | 0.2093 | 0.7073 | 0.8021 | 0.6245 | |
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| 0.2034 | 4.0 | 1108 | 0.1998 | 0.6943 | 0.8009 | 0.6276 | |
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| 0.2034 | 5.0 | 1385 | 0.1942 | 0.7220 | 0.8252 | 0.6793 | |
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| 0.1504 | 6.0 | 1662 | 0.1938 | 0.7205 | 0.8312 | 0.6962 | |
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| 0.1504 | 7.0 | 1939 | 0.1952 | 0.7262 | 0.8366 | 0.7078 | |
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| 0.1165 | 8.0 | 2216 | 0.2013 | 0.7324 | 0.8398 | 0.7131 | |
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| 0.1165 | 9.0 | 2493 | 0.2077 | 0.7130 | 0.8325 | 0.7036 | |
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| 0.0956 | 10.0 | 2770 | 0.2041 | 0.7203 | 0.8359 | 0.7078 | |
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| 0.0816 | 11.0 | 3047 | 0.2077 | 0.7250 | 0.8396 | 0.7141 | |
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| 0.0816 | 12.0 | 3324 | 0.2122 | 0.7148 | 0.8352 | 0.7078 | |
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| 0.0708 | 13.0 | 3601 | 0.2112 | 0.7174 | 0.8361 | 0.7068 | |
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### Framework versions |
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- Transformers 4.42.4 |
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- Pytorch 2.3.1+cu121 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
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