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cheralathan-m/
cross-lingual-srl-v3

Name: cross-lingual-srl-v3
Availability: InStock

generated_from_trainer

cheralathan-m/cross-lingual-srl-v2

finetune

mit

endpoints_compatible

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cross-lingual-srl-v3

This model is a fine-tuned version of cheralathan-m/cross-lingual-srl-v2 on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.2253
Precision: 0.8546
Recall: 0.8762
F1: 0.8653
Accuracy: 0.9679

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: 5e-06
train_batch_size: 16
eval_batch_size: 32
seed: 42
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: 5
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
0.1154	1.0	787	0.2447	0.7213	0.8068	0.7616	0.9542
0.0603	2.0	1574	0.2213	0.8256	0.8595	0.8422	0.9647
0.0484	3.0	2361	0.2226	0.8505	0.8698	0.8600	0.9666
0.0385	4.0	3148	0.2224	0.8528	0.8735	0.8630	0.9670
0.0333	5.0	3935	0.2229	0.8593	0.8735	0.8663	0.9673

Framework versions

Transformers 5.2.0
Pytorch 2.9.0+cu126
Datasets 4.0.0
Tokenizers 0.22.2

cheralathan-m/cross-lingual-srl-v3

cross-lingual-srl-v3

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

cheralathan-m/
cross-lingual-srl-v3