Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
tir-xlm-focal-lr-3e-5 – AI Model by jaycentg | AlphaNeural AI
You can deploy this model and start earning money today!
jaycentg
/
tir-xlm-focal-lr-3e-5
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
tir-xlm-focal-lr-3e-5
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: 13.9432
F1-micro: 0.1908
F1-macro: 0.2089
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: 3e-05
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: 73
num_epochs: 4
Training results
Training Loss
Epoch
Step
Validation Loss
F1-micro
F1-macro
39.9906
1.0
184
14.0643
0.2948
0.1618
39.8656
2.0
368
13.8770
0.2704
0.2618
39.8165
3.0
552
14.0230
0.2450
0.2243
39.7675
4.0
736
13.9432
0.1908
0.2089
Framework versions
Transformers 4.44.2
Pytorch 2.4.1+cu121
Datasets 3.2.0
Tokenizers 0.19.1
