Himanshu99001/classify-bluesky-1000-v2

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classify-bluesky-1000-v2

This model is a fine-tuned version of albert/albert-base-v2 on an unknown dataset. It achieves the following results on the evaluation set:

• —Loss: 0.1265
• —Accuracy: 1.0
• —F1: 1.0
• —Precision: 1.0
• —Recall: 1.0
• —Accuracy Label Bluesky: 1.0
• —Accuracy Label Specific: 1.0

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
• —trainbatchsize: 16
• —evalbatchsize: 16
• —seed: 42
• —gradientaccumulationsteps: 2
• —totaltrainbatch_size: 32
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —lrschedulerwarmup_steps: 500
• —num_epochs: 3

Training results

Framework versions

• —Transformers 4.45.2
• —Pytorch 2.4.1+cu121
• —Datasets 3.0.1
• —Tokenizers 0.20.1