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afrolid_mega – AI Model by 14kwonss | AlphaNeural AI
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afrolid_mega
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transformers
safetensors
xlm-roberta
text-classification
generated_from_trainer
UBC-NLP/serengeti
finetune
text-embeddings-inference
endpoints_compatible
us
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afrolid_mega
This model is a fine-tuned version of
UBC-NLP/serengeti
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.0886
F1: 0.9755
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: 512
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 4
gradient_accumulation_steps: 4
total_train_batch_size: 8192
total_eval_batch_size: 32
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
num_epochs: 25.0
Training results
Training Loss
Epoch
Step
Validation Loss
F1
0.0227
17.7936
5000
0.0886
0.9755
Framework versions
Transformers 4.57.1
Pytorch 2.11.0
Datasets 3.6.0
Tokenizers 0.22.2
