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hhh
ahmadmwali/hhh
hhh is a machine learning model from ahmadmwali. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- peft
- Access
- Public
- Created
- May 18, 2025
- Updated
- May 18, 2025
- SHA
- 21cdfcd4
Base models
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
hhh
This model is a fine-tuned version of castorini/afriteva_small on the None dataset. It achieves the following results on the evaluation set:
- Bleu: 0.0062
- F1: 0.1346
- Wer: 1.3619
- Cer: 0.9390
- Meteor: 0.0429
- Loss: 8.3538
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: 0.0002
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- 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: 1
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Bleu | F1 | Wer | Cer | Meteor | Validation Loss |
|---|---|---|---|---|---|---|---|---|
| No log | 0.8 | 2 | 0.0062 | 0.1346 | 1.3619 | 0.9390 | 0.0429 | 8.3538 |
Framework versions
- PEFT 0.15.2
- Transformers 4.51.3
- Pytorch 2.6.0+cu124
- Datasets 2.14.4
- Tokenizers 0.21.1
- Library
- peft
- Created
- May 18, 2025
- Updated
- May 18, 2025