|
|
--- |
|
|
library_name: transformers |
|
|
license: mit |
|
|
base_model: intfloat/multilingual-e5-large-instruct |
|
|
tags: |
|
|
- generated_from_trainer |
|
|
model-index: |
|
|
- name: e5_EC_MultiLabel_12082025 |
|
|
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. --> |
|
|
|
|
|
# e5_EC_MultiLabel_12082025 |
|
|
|
|
|
This model is a fine-tuned version of [intfloat/multilingual-e5-large-instruct](https://huggingface.co/intfloat/multilingual-e5-large-instruct) on the None dataset. |
|
|
It achieves the following results on the evaluation set: |
|
|
- Loss: 0.1220 |
|
|
- F1 Weighted: 0.9559 |
|
|
|
|
|
## 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-06 |
|
|
- train_batch_size: 16 |
|
|
- eval_batch_size: 8 |
|
|
- 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 |
|
|
- num_epochs: 15 |
|
|
- mixed_precision_training: Native AMP |
|
|
|
|
|
### Training results |
|
|
|
|
|
| Training Loss | Epoch | Step | Validation Loss | F1 Weighted | |
|
|
|:-------------:|:-----:|:----:|:---------------:|:-----------:| |
|
|
| 0.9125 | 1.0 | 324 | 0.5410 | 0.7120 | |
|
|
| 0.4462 | 2.0 | 648 | 0.2934 | 0.8546 | |
|
|
| 0.2895 | 3.0 | 972 | 0.2372 | 0.8833 | |
|
|
| 0.2172 | 4.0 | 1296 | 0.1978 | 0.9065 | |
|
|
| 0.171 | 5.0 | 1620 | 0.1744 | 0.9182 | |
|
|
| 0.1389 | 6.0 | 1944 | 0.1505 | 0.9325 | |
|
|
| 0.116 | 7.0 | 2268 | 0.1402 | 0.9418 | |
|
|
| 0.0985 | 8.0 | 2592 | 0.1410 | 0.9412 | |
|
|
| 0.0849 | 9.0 | 2916 | 0.1341 | 0.9480 | |
|
|
| 0.0707 | 10.0 | 3240 | 0.1276 | 0.9529 | |
|
|
| 0.063 | 11.0 | 3564 | 0.1239 | 0.9531 | |
|
|
| 0.0567 | 12.0 | 3888 | 0.1220 | 0.9559 | |
|
|
|
|
|
|
|
|
### Framework versions |
|
|
|
|
|
- Transformers 4.55.0 |
|
|
- Pytorch 2.6.0+cu124 |
|
|
- Datasets 4.0.0 |
|
|
- Tokenizers 0.21.4 |
|
|
|
