Downloads · 30 days
5
45% of all-time downloads
afriteva_small_trial2
ahmadmwali/afriteva_small_trial2
afriteva_small_trial2 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. --
All-time downloads
11
Public
Repo size
2.5 MB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.json2.8 MB · 52%
At a glance
- Library
- peft
- Access
- Public
- Created
- May 30, 2025
- Updated
- May 30, 2025
- SHA
- 08492e62
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. -->
afriteva_small_trial2
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: 0.6835
- F1: 0.8468
- Wer: 0.1892
- Cer: 0.0704
- Meteor: 0.8278
- Loss: 0.1053
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: 0.0005
- train_batch_size: 32
- eval_batch_size: 32
- 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: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Bleu | F1 | Wer | Cer | Meteor | Validation Loss |
|---|---|---|---|---|---|---|---|---|
| 0.1696 | 1.0 | 12500 | 0.6487 | 0.8307 | 0.2306 | 0.0982 | 0.8035 | 0.1195 |
| 0.1549 | 2.0 | 25000 | 0.6716 | 0.8410 | 0.2024 | 0.0792 | 0.8202 | 0.1104 |
| 0.1436 | 3.0 | 37500 | 0.6835 | 0.8468 | 0.1892 | 0.0704 | 0.8278 | 0.1053 |
Framework versions
- PEFT 0.15.2
- Transformers 4.50.0
- Pytorch 2.6.0+cu124
- Datasets 3.4.1
- Tokenizers 0.21.1
- Library
- peft
- Created
- May 30, 2025
- Updated
- May 30, 2025