---
license: apache-2.0
base_model: sentence-transformers/all-MiniLM-L6-v2
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: new_classifier_model
  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. -->

# new_classifier_model

This model is a fine-tuned version of [sentence-transformers/all-MiniLM-L6-v2](https://huggingface.co/sentence-transformers/all-MiniLM-L6-v2) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4181
- Accuracy: 0.9193

## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.5772        | 1.0   | 762  | 0.3256          | 0.9062   |
| 0.2692        | 2.0   | 1524 | 0.3038          | 0.9163   |
| 0.217         | 3.0   | 2286 | 0.3109          | 0.9180   |
| 0.1773        | 4.0   | 3048 | 0.3160          | 0.9209   |
| 0.1619        | 5.0   | 3810 | 0.3440          | 0.9206   |
| 0.1329        | 6.0   | 4572 | 0.3675          | 0.9160   |
| 0.1165        | 7.0   | 5334 | 0.3770          | 0.9209   |
| 0.0943        | 8.0   | 6096 | 0.4012          | 0.9203   |
| 0.085         | 9.0   | 6858 | 0.4166          | 0.9196   |
| 0.0811        | 10.0  | 7620 | 0.4181          | 0.9193   |


### Framework versions

- Transformers 4.34.1
- Pytorch 2.1.0+cpu
- Datasets 2.14.7
- Tokenizers 0.14.1