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---
tags:
- generated_from_trainer
model-index:
- name: topicfit-all-mpnet-base-v2-sentence-label-diff_prod-epoch-8
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. -->
# 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
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