tass-xlmr – AI Model by Oscaroso28 | AlphaNeural AI

You can deploy this model and start earning money today!

Oscaroso28/
tass-xlmr

like

0

text-classification

generated_from_trainer

FacebookAI/xlm-roberta-large

text-embeddings-inference

endpoints_compatible

Views

No views yet

tass-xlmr

This model is a fine-tuned version of FacebookAI/xlm-roberta-large on the None dataset. It achieves the following results on the evaluation set:

Loss: 1.0942
Precision: 0.1293
Recall: 0.3333
F1 Macro: 0.1864
Accuracy: 0.3880

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: 32
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 16
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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: 0.1
num_epochs: 8
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1 Macro	Accuracy
2.1987	1.0	107	1.0529	0.4023	0.3937	0.2938	0.4399
2.0387	2.0	214	1.0269	0.2655	0.3566	0.2396	0.4098
2.2368	3.0	321	1.0917	0.1293	0.3333	0.1864	0.3880
2.2050	4.0	428	1.0942	0.1293	0.3333	0.1864	0.3880

Framework versions

Transformers 5.12.1
Pytorch 2.11.0+cu128
Datasets 5.0.0
Tokenizers 0.22.2