| | --- |
| | 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 |
| | should probably proofread and complete it, then remove this comment. --> |
| |
|
| | [<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 |
| |
|
