---
license: mit
base_model: intfloat/multilingual-e5-large
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: multilingual-e5-large-finetuned-autext24-subtask2
  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. -->

# multilingual-e5-large-finetuned-autext24-subtask2

This model is a fine-tuned version of [intfloat/multilingual-e5-large](https://huggingface.co/intfloat/multilingual-e5-large) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.9903
- Accuracy: 0.8543
- F1: 0.8553

## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Accuracy | F1     |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|
| No log        | 1.0   | 2571  | 0.6295          | 0.7574   | 0.7566 |
| 0.5796        | 2.0   | 5142  | 0.4672          | 0.8416   | 0.8424 |
| 0.5796        | 3.0   | 7713  | 0.7611          | 0.8160   | 0.8169 |
| 0.1763        | 4.0   | 10284 | 0.8108          | 0.8562   | 0.8571 |
| 0.1763        | 5.0   | 12855 | 0.9903          | 0.8543   | 0.8553 |


### Framework versions

- Transformers 4.40.1
- Pytorch 2.3.0+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1