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---
license: apache-2.0
base_model: sentence-transformers/all-mpnet-base-v2
tags:
- generated_from_trainer
metrics:
- f1
- accuracy
model-index:
- name: Hub-Report-20240803105920
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Hub-Report-20240803105920
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.
It achieves the following results on the evaluation set:
- Loss: 0.2013
- F1: 0.7324
- Roc Auc: 0.8398
- Accuracy: 0.7131
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 13
### Training results
| Training Loss | Epoch | Step | Validation Loss | F1 | Roc Auc | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|:--------:|
| No log | 1.0 | 277 | 0.3087 | 0.2615 | 0.5753 | 0.1530 |
| 0.351 | 2.0 | 554 | 0.2457 | 0.5623 | 0.7097 | 0.4357 |
| 0.351 | 3.0 | 831 | 0.2093 | 0.7073 | 0.8021 | 0.6245 |
| 0.2034 | 4.0 | 1108 | 0.1998 | 0.6943 | 0.8009 | 0.6276 |
| 0.2034 | 5.0 | 1385 | 0.1942 | 0.7220 | 0.8252 | 0.6793 |
| 0.1504 | 6.0 | 1662 | 0.1938 | 0.7205 | 0.8312 | 0.6962 |
| 0.1504 | 7.0 | 1939 | 0.1952 | 0.7262 | 0.8366 | 0.7078 |
| 0.1165 | 8.0 | 2216 | 0.2013 | 0.7324 | 0.8398 | 0.7131 |
| 0.1165 | 9.0 | 2493 | 0.2077 | 0.7130 | 0.8325 | 0.7036 |
| 0.0956 | 10.0 | 2770 | 0.2041 | 0.7203 | 0.8359 | 0.7078 |
| 0.0816 | 11.0 | 3047 | 0.2077 | 0.7250 | 0.8396 | 0.7141 |
| 0.0816 | 12.0 | 3324 | 0.2122 | 0.7148 | 0.8352 | 0.7078 |
| 0.0708 | 13.0 | 3601 | 0.2112 | 0.7174 | 0.8361 | 0.7068 |
### Framework versions
- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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