DSC_xlmr-vinli-finetune_finetuned – AI Model by BFCmath | AlphaNeural AI

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BFCmath/
DSC_xlmr-vinli-finetune_finetuned

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text-classification

generated_from_trainer

lyle49/xlmr-vinli-finetune

text-embeddings-inference

endpoints_compatible

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DSC_xlmr-vinli-finetune_finetuned

This model is a fine-tuned version of lyle49/xlmr-vinli-finetune on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.7327
Accuracy: 0.7579
F1 Macro: 0.7597

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: 32
eval_batch_size: 32
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 100
num_epochs: 20

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1 Macro
0.7879	1.0	175	0.7154	0.7143	0.7181
0.6294	2.0	350	0.6883	0.7386	0.7366
0.5007	3.0	525	0.7327	0.7579	0.7597
0.3931	4.0	700	0.7754	0.7471	0.7488
0.3363	5.0	875	0.8899	0.75	0.7499
0.2568	6.0	1050	0.9847	0.7379	0.7388
0.1945	7.0	1225	1.1625	0.7407	0.7426

Framework versions

Transformers 4.52.4
Pytorch 2.6.0+cu124
Datasets 3.6.0
Tokenizers 0.21.2