fine_tuned_boolq__XLMroberta – AI Model by tjasad | AlphaNeural AI

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tjasad/
fine_tuned_boolq__XLMroberta

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text-classification

generated_from_trainer

FacebookAI/xlm-roberta-base

autotrain_compatible

endpoints_compatible

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fine_tuned_boolq__XLMroberta

This model is a fine-tuned version of xlm-roberta-base on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 2.9741
Accuracy: 0.6111
F1: 0.6255

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
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
training_steps: 400

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
0.671	4.1667	50	0.5406	0.7778	0.6806
0.4838	8.3333	100	0.6437	0.6667	0.6667
0.2531	12.5	150	1.1091	0.6667	0.6667
0.0646	16.6667	200	1.5667	0.7222	0.7072
0.0016	20.8333	250	2.3289	0.6111	0.6255
0.001	25.0	300	2.6698	0.6111	0.6255
0.0005	29.1667	350	2.9762	0.6111	0.6255
0.0005	33.3333	400	2.9741	0.6111	0.6255

Framework versions

Transformers 4.40.2
Pytorch 2.3.0+cu121
Datasets 2.19.1
Tokenizers 0.19.1