metadata-cls-no-gov-8k-v5-fix_overfix
This model is a fine-tuned version of vinai/phobert-base-v2 on an unknown dataset. It achieves the following results on the evaluation set:
- eval_loss: 0.1855
- eval_accuracy: 0.9404
- eval_f1: 0.7910
- eval_runtime: 7.509
- eval_samples_per_second: 156.478
- eval_steps_per_second: 2.53
- epoch: 4.9180
- step: 600
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 30
Framework versions
- Transformers 4.43.1
- Pytorch 2.1.2
- Datasets 2.20.0
- Tokenizers 0.19.1
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Model tree for gechim/metadata-cls-no-gov-8k-v5-fix_overfix
Base model
vinai/phobert-base-v2