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InkubaLM-0.4B-finetuned-hausa_tweet_sentiment – AI Model by danielbyiringiro | AlphaNeural AI
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InkubaLM-0.4B-finetuned-hausa_tweet_sentiment
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transformers
safetensors
llama
text-classification
generated_from_trainer
custom_code
lelapa/InkubaLM-0.4B
finetune
cc-by-nc-4.0
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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InkubaLM-0.4B-finetuned-hausa_tweet_sentiment
This model is a fine-tuned version of
lelapa/InkubaLM-0.4B
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.9999
Accuracy: 0.7467
F1: 0.7470
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: 5e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 3.0
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1
0.7864
1.0
1772
0.6436
0.7210
0.7228
0.5139
2.0
3544
0.7013
0.7400
0.7387
0.3105
3.0
5316
0.9999
0.7467
0.7470
Framework versions
Transformers 4.50.3
Pytorch 2.6.0+cu124
Datasets 3.5.0
Tokenizers 0.21.1
