metadata
license: mit
base_model: microsoft/MiniLM-L12-H384-uncased
tags:
- generated_from_trainer
model-index:
- name: sentiment-guesser
results: []
sentiment-guesser
This model is a fine-tuned version of microsoft/MiniLM-L12-H384-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3734
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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.2921 | 1.0 | 3125 | 0.2793 |
| 0.2303 | 2.0 | 6250 | 0.2741 |
| 0.1488 | 3.0 | 9375 | 0.3239 |
| 0.0802 | 4.0 | 12500 | 0.3506 |
| 0.0494 | 5.0 | 15625 | 0.3734 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.4.0.dev20240317
- Datasets 2.18.0
- Tokenizers 0.15.2