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afro-xlmr-base-finetuned-senti-v1 – AI Model by lazymonster | AlphaNeural AI
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afro-xlmr-base-finetuned-senti-v1
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transformers
tensorboard
safetensors
xlm-roberta
text-classification
generated_from_trainer
Davlan/afro-xlmr-base
finetune
mit
text-embeddings-inference
endpoints_compatible
us
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afro-xlmr-base-finetuned-senti-v1
This model is a fine-tuned version of
Davlan/afro-xlmr-base
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.8003
Accuracy: 0.7133
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: 8
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
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.7236
1.0
7961
0.7174
0.6823
0.585
2.0
15922
0.7330
0.7052
0.4793
3.0
23883
0.8003
0.7133
Framework versions
Transformers 4.56.1
Pytorch 2.8.0+cu126
Datasets 4.0.0
Tokenizers 0.22.0
