---
license: apache-2.0
base_model: sentence-transformers/all-mpnet-base-v2
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: task-embedder
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/epoch-metrics/fine-tuning/runs/dnlz2u2m)
[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/epoch-metrics/fine-tuning/runs/dnlz2u2m)
# task-embedder

This model is a fine-tuned version of [sentence-transformers/all-mpnet-base-v2](https://huggingface.co/sentence-transformers/all-mpnet-base-v2) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.2775
- Accuracy: 0.5753

## 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: 5e-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: 15

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 5.6652        | 1.0   | 83   | 4.2850          | 0.3649   |
| 3.9443        | 2.0   | 166  | 3.5407          | 0.4281   |
| 3.3575        | 3.0   | 249  | 3.1092          | 0.4710   |
| 3.084         | 4.0   | 332  | 2.8743          | 0.4962   |
| 2.8764        | 5.0   | 415  | 2.7020          | 0.5211   |
| 2.7367        | 6.0   | 498  | 2.6699          | 0.5188   |
| 2.6275        | 7.0   | 581  | 2.5638          | 0.5404   |
| 2.5257        | 8.0   | 664  | 2.5348          | 0.5430   |
| 2.4742        | 9.0   | 747  | 2.4302          | 0.5591   |
| 2.4238        | 10.0  | 830  | 2.4159          | 0.5577   |
| 2.3516        | 11.0  | 913  | 2.3461          | 0.5741   |
| 2.3115        | 12.0  | 996  | 2.3291          | 0.5728   |
| 2.29          | 13.0  | 1079 | 2.3577          | 0.5698   |
| 2.2412        | 14.0  | 1162 | 2.3473          | 0.5674   |
| 2.245         | 15.0  | 1245 | 2.3113          | 0.5720   |


### Framework versions

- Transformers 4.44.0
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1