fine_tuned_copa_XLMroberta – AI Model by anzeo | AlphaNeural AI

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fine_tuned_copa_XLMroberta

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fine_tuned_copa_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: 0.6931
Accuracy: 0.58
F1: 0.5412

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: 0.003
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
0.7194	1.0	50	0.6931	0.51	0.4132
0.7088	2.0	100	0.6931	0.54	0.3857
0.7232	3.0	150	0.6931	0.55	0.3903
0.7168	4.0	200	0.6931	0.56	0.4283
0.7058	5.0	250	0.6931	0.55	0.3903
0.728	6.0	300	0.6931	0.55	0.3903
0.7223	7.0	350	0.6931	0.6	0.5347
0.7031	8.0	400	0.6931	0.58	0.5412

Framework versions

Transformers 4.40.1
Pytorch 2.1.1+cu121
Datasets 2.19.0
Tokenizers 0.19.1