---
library_name: transformers
license: mit
base_model: intfloat/multilingual-e5-large-instruct
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: e5_Sentiment_Energie_v2
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# e5_Sentiment_Energie_v2

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: 0.7730
- Accuracy: 0.9248
- F1: 0.9248

## 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: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- 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
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 20
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
| No log        | 1.0   | 26   | 0.8522          | 0.7670   | 0.7250 |
| 0.8408        | 2.0   | 52   | 0.4859          | 0.8641   | 0.8671 |
| 0.8408        | 3.0   | 78   | 0.3911          | 0.8762   | 0.8786 |
| 0.2763        | 4.0   | 104  | 0.4905          | 0.9005   | 0.9033 |
| 0.2763        | 5.0   | 130  | 0.6540          | 0.8932   | 0.8912 |
| 0.0993        | 6.0   | 156  | 0.5897          | 0.9199   | 0.9182 |
| 0.0993        | 7.0   | 182  | 0.5957          | 0.9296   | 0.9290 |
| 0.0469        | 8.0   | 208  | 0.7563          | 0.9126   | 0.9117 |
| 0.0469        | 9.0   | 234  | 0.7654          | 0.9199   | 0.9180 |
| 0.0138        | 10.0  | 260  | 0.7730          | 0.9248   | 0.9248 |


### Framework versions

- Transformers 4.53.0
- Pytorch 2.6.0+cu124
- Datasets 3.6.0
- Tokenizers 0.21.2