MiniLM-Sentiment
This model is a fine-tuned version of microsoft/Multilingual-MiniLM-L12-H384 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.7285
- Precision: 0.7217
- Recall: 0.7275
- F1 Score: 0.7179
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 31
- 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 | Precision | Recall | F1 Score |
---|---|---|---|---|---|---|
0.8091 | 1.0 | 2704 | 0.8324 | 0.6671 | 0.6585 | 0.6586 |
0.7168 | 2.0 | 5408 | 0.7098 | 0.6995 | 0.7055 | 0.7009 |
0.6454 | 3.0 | 8112 | 0.7240 | 0.7116 | 0.7209 | 0.6998 |
0.5762 | 4.0 | 10816 | 0.7076 | 0.7237 | 0.7304 | 0.7173 |
0.5147 | 5.0 | 13520 | 0.7285 | 0.7217 | 0.7275 | 0.7179 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
- Downloads last month
- 4
This model does not have enough activity to be deployed to Inference API (serverless) yet.
Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.