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cs221-bert-base-multilingual-cased-finetuned-amharic-amh-finetuned-20-epochs – AI Model by sercetexam9 | AlphaNeural AI
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cs221-bert-base-multilingual-cased-finetuned-amharic-amh-finetuned-20-epochs
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transformers
safetensors
bert
text-classification
generated_from_trainer
Davlan/bert-base-multilingual-cased-finetuned-amharic
finetune
autotrain_compatible
endpoints_compatible
us
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cs221-bert-base-multilingual-cased-finetuned-amharic-amh-finetuned-20-epochs
This model is a fine-tuned version of
Davlan/bert-base-multilingual-cased-finetuned-amharic
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.5148
F1: 0.635
Roc Auc: 0.7597
Accuracy: 0.3776
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: 32
eval_batch_size: 32
seed: 42
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 100
num_epochs: 20
Training results
Framework versions
Transformers 4.47.1
Pytorch 2.5.1+cu121
Datasets 3.2.0
Tokenizers 0.21.0
