metadata
library_name: transformers
license: mit
base_model: intfloat/multilingual-e5-large-instruct
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: e5_Sentiment_General_v1
results: []
e5_Sentiment_General_v1
This model is a fine-tuned version of intfloat/multilingual-e5-large-instruct on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0468
- Accuracy: 0.9865
- F1: 0.9865
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: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- 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: 100
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 0.4262 | 0.9969 | 245 | 0.2309 | 0.9273 | 0.9283 |
| 0.2687 | 1.9969 | 490 | 0.1777 | 0.9513 | 0.9515 |
| 0.1962 | 2.9969 | 735 | 0.1011 | 0.9699 | 0.9701 |
| 0.1582 | 3.9969 | 980 | 0.0886 | 0.9786 | 0.9786 |
| 0.1315 | 4.9969 | 1225 | 0.0595 | 0.9835 | 0.9835 |
| 0.1082 | 5.9969 | 1470 | 0.0468 | 0.9865 | 0.9865 |
Framework versions
- Transformers 4.50.3
- Pytorch 2.6.0+cu124
- Datasets 3.5.0
- Tokenizers 0.21.1