multilingual-e5-small-aligned-sentiment
This model is a fine-tuned version of agentlans/multilingual-e5-small-aligned on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2188
- Mse: 0.2188
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: 64
- eval_batch_size: 8
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 3.0
Training results
| Training Loss | Epoch | Step | Validation Loss | Mse |
|---|---|---|---|---|
| 0.2635 | 1.0 | 13548 | 0.2526 | 0.2526 |
| 0.1944 | 2.0 | 27096 | 0.2277 | 0.2277 |
| 0.1489 | 3.0 | 40644 | 0.2188 | 0.2188 |
Framework versions
- Transformers 4.46.3
- Pytorch 2.5.1+cu124
- Datasets 3.1.0
- Tokenizers 0.20.3
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Model tree for agentlans/multilingual-e5-small-aligned-sentiment
Base model
intfloat/multilingual-e5-small
Finetuned
agentlans/multilingual-e5-small-aligned