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LLamA-Generator-amharic-QA-model – AI Model by Desalegnn | AlphaNeural AI
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Desalegnn
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LLamA-Generator-amharic-QA-model
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transformers
tensorboard
safetensors
xlm-roberta
question-answering
generated_from_trainer
Davlan/afro-xlmr-large
finetune
mit
endpoints_compatible
us
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LLamA-Generator-amharic-QA-model
This model is a fine-tuned version of
Davlan/afro-xlmr-large
on the None dataset. It achieves the following results on the evaluation set:
Loss: 1.3014
Start Acc: 0.7741
End Acc: 0.6862
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: 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
Start Acc
End Acc
1.1146
1.0
472
1.0642
0.7582
0.6935
0.7413
2.0
944
1.1165
0.7839
0.7009
0.3187
3.0
1416
1.3014
0.7741
0.6862
Framework versions
Transformers 4.57.2
Pytorch 2.9.0+cu126
Datasets 4.0.0
Tokenizers 0.22.1
