---
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: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# e5_Sentiment_General_v1

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: 0.0468
- 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