metadata
library_name: transformers
license: apache-2.0
base_model: sentence-transformers/all-mpnet-base-v2
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
- precision
- recall
model-index:
- name: classify-bluesky-1000-v2
results: []
classify-bluesky-1000-v2
This model is a fine-tuned version of sentence-transformers/all-mpnet-base-v2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0055
- Accuracy: 0.9994
- F1: 0.9994
- Precision: 0.9994
- Recall: 0.9994
- Accuracy Label Bluesky: 1.0
- Accuracy Label Non bluesky: 0.9992
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: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall | Accuracy Label Bluesky | Accuracy Label Non bluesky |
|---|---|---|---|---|---|---|---|---|---|
| 0.514 | 0.4292 | 100 | 0.4462 | 0.8747 | 0.8577 | 0.8925 | 0.8747 | 0.4832 | 1.0 |
| 0.095 | 0.8584 | 200 | 0.0717 | 0.9984 | 0.9984 | 0.9984 | 0.9984 | 0.9948 | 0.9996 |
| 0.031 | 1.2876 | 300 | 0.0230 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 |
| 0.0139 | 1.7167 | 400 | 0.0099 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 |
| 0.007 | 2.1459 | 500 | 0.0259 | 0.9947 | 0.9947 | 0.9948 | 0.9947 | 1.0 | 0.9930 |
| 0.0045 | 2.5751 | 600 | 0.0060 | 0.9994 | 0.9994 | 0.9994 | 0.9994 | 1.0 | 0.9992 |
Framework versions
- Transformers 4.49.0
- Pytorch 2.5.1+cu124
- Datasets 3.3.2
- Tokenizers 0.21.0