File size: 2,705 Bytes
5e2ef39 0b16855 5e2ef39 0b16855 5e2ef39 3c5c868 5e2ef39 0b16855 5e2ef39 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 |
---
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
|