InkubaLM-0.4B-finetuned-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: 1.1655
• Accuracy: 0.56
• F1: 0.5480

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: 64
• eval_batch_size: 64
• 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: linear
• num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
2.5462	1.0	5	1.3119	0.6	0.5708
1.3566	2.0	10	1.3543	0.56	0.5985
0.338	3.0	15	1.0486	0.62	0.6301
0.1688	4.0	20	1.4487	0.5	0.4720
0.0629	5.0	25	1.1655	0.56	0.5480

Framework versions

• Transformers 4.47.1
• Pytorch 2.5.1+cu121
• Datasets 3.2.0
• Tokenizers 0.21.0