---
base_model: MarcBrun/ixambert-finetuned-squad-eu
tags:
- generated_from_trainer
model-index:
- name: NeurIXA_From_Ixambert-finetuned-squad-eu
  results: []
---

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

This model is a fine-tuned version of [MarcBrun/ixambert-finetuned-squad-eu](https://huggingface.co/MarcBrun/ixambert-finetuned-squad-eu) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4553

## 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: 15

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 3    | 4.5910          |
| No log        | 2.0   | 6    | 3.6086          |
| No log        | 3.0   | 9    | 3.0027          |
| No log        | 4.0   | 12   | 2.4933          |
| No log        | 5.0   | 15   | 2.0479          |
| No log        | 6.0   | 18   | 1.6777          |
| No log        | 7.0   | 21   | 1.3752          |
| No log        | 8.0   | 24   | 1.1311          |
| No log        | 9.0   | 27   | 0.9425          |
| No log        | 10.0  | 30   | 0.7820          |
| No log        | 11.0  | 33   | 0.6559          |
| No log        | 12.0  | 36   | 0.5652          |
| No log        | 13.0  | 39   | 0.5052          |
| No log        | 14.0  | 42   | 0.4691          |
| No log        | 15.0  | 45   | 0.4553          |


### Framework versions

- Transformers 4.37.2
- Pytorch 2.3.0
- Datasets 2.19.1
- Tokenizers 0.15.1