checkpoints – AI Model by artem2284708 | AlphaNeural AI

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artem2284708/
checkpoints

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text-classification

generated_from_trainer

artem2284708/my_awesome_model

autotrain_compatible

endpoints_compatible

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checkpoints

This model is a fine-tuned version of artem2284708/my_awesome_model on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.8750
Accuracy: 0.7
F1: 0.6966
Precision: 0.6986
Recall: 0.7

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: 16
eval_batch_size: 16
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: 8

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Precision	Recall
0.7623	1.0	22	0.9081	0.6	0.5838	0.6351	0.6
0.5637	2.0	44	0.7482	0.65	0.6415	0.6664	0.65
0.3885	3.0	66	0.7059	0.7333	0.7243	0.7542	0.7333
0.2214	4.0	88	0.6494	0.7333	0.7316	0.7458	0.7333
0.1379	5.0	110	0.7677	0.7167	0.7136	0.7217	0.7167
0.0834	6.0	132	0.6474	0.7167	0.7162	0.7167	0.7167
0.0586	7.0	154	0.7048	0.75	0.7441	0.7616	0.75
0.0455	8.0	176	0.6778	0.7667	0.7646	0.7711	0.7667

Framework versions

Transformers 4.51.3
Pytorch 2.6.0+cu124
Datasets 2.14.4
Tokenizers 0.21.1