---
tags:
- generated_from_trainer
model-index:
- name: topicfit-all-mpnet-base-v2-sentence-label-diff_prod-epoch-8
  results: []
---

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# topicfit-all-mpnet-base-v2-sentence-label-diff_prod-epoch-8

This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0000

## 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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- num_epochs: 8

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.0073        | 1.0   | 4880  | 0.0028          |
| 0.0027        | 2.0   | 9760  | 0.0007          |
| 0.0016        | 3.0   | 14640 | 0.0002          |
| 0.0           | 4.0   | 19520 | 0.0000          |
| 0.0           | 5.0   | 24400 | 0.0000          |
| 0.0           | 6.0   | 29280 | 0.0000          |
| 0.0           | 7.0   | 34160 | 0.0000          |
| 0.0           | 8.0   | 39040 | 0.0000          |


### Framework versions

- Transformers 4.42.3
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1