Neurixa_From_Ixambert-finetuned-squad-eu

This model is a fine-tuned version of MarcBrun/ixambert-finetuned-squad-eu on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.2018

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	6	4.4728
No log	2.0	12	3.3750
No log	3.0	18	2.5127
No log	4.0	24	1.8246
No log	5.0	30	1.3675
No log	6.0	36	0.9409
No log	7.0	42	0.6393
No log	8.0	48	0.4733
No log	9.0	54	0.3724
No log	10.0	60	0.3093
No log	11.0	66	0.2644
No log	12.0	72	0.2407
No log	13.0	78	0.2161
No log	14.0	84	0.2041
No log	15.0	90	0.2018

Framework versions

• Transformers 4.37.2
• Pytorch 2.3.0
• Datasets 2.19.2
• Tokenizers 0.15.1