Downloads · 30 days
0
MergeV2-FineTuned
Fahd1199/MergeV2-FineTuned
MergeV2-FineTuned is a machine learning model from Fahd1199. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
Access
Public
Updated Aug 7, 2024
Repo size
265 MB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin126 MB · 100%
At a glance
- License
- apache-2.0
- Access
- Public
- Created
- Aug 6, 2024
- Updated
- Aug 7, 2024
- SHA
- 839680e5
Base models
Datasets
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. -->
Whisper Small Darija
This model is a fine-tuned version of openai/whisper-small on the DatasetDarijaTest dataset. It achieves the following results on the evaluation set:
- eval_loss: 0.7074
- eval_runtime: 57.1463
- eval_samples_per_second: 2.625
- eval_steps_per_second: 0.332
- epoch: 1.9324
- step: 800
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: 0.0001
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine_with_restarts
- lr_scheduler_warmup_steps: 200
- num_epochs: 2
- mixed_precision_training: Native AMP
Framework versions
- Transformers 4.44.0
- Pytorch 2.2.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
- License
- apache-2.0
- Languages
- dj
- Created
- Aug 6, 2024
- Updated
- Aug 7, 2024