Beta
Explore
Marketplace
Neural Labs
Playground
Wallet
Docs
swe-xlm-focal – AI Model by jaycentg | AlphaNeural AI
You can deploy this model and start earning money today!
jaycentg
/
swe-xlm-focal
like
0
transformers
tensorboard
safetensors
xlm-roberta
text-classification
generated_from_trainer
FacebookAI/xlm-roberta-base
finetune
mit
autotrain_compatible
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
swe-xlm-focal
This model is a fine-tuned version of
FacebookAI/xlm-roberta-base
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 15.0435
F1-micro: 0.3431
F1-macro: 0.3210
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: 1.5e-06
train_batch_size: 16
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 23
num_epochs: 4
Training results
Training Loss
Epoch
Step
Validation Loss
F1-micro
F1-macro
43.4743
1.0
60
15.3105
0.3048
0.2451
42.6442
2.0
120
15.1590
0.3307
0.3043
42.3602
3.0
180
15.0797
0.3374
0.3140
42.5208
4.0
240
15.0435
0.3431
0.3210
Framework versions
Transformers 4.44.2
Pytorch 2.4.1+cu121
Datasets 3.2.0
Tokenizers 0.19.1
