Downloads · 30 days
0
whisper-large-v2-lora-cgn
qmeeus/whisper-large-v2-lora-cgn
whisper-large-v2-lora-cgn is a machine learning model from qmeeus. 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 Nov 6, 2023
Repo size
63 MB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors63 MB · 100%
At a glance
- License
- apache-2.0
- Access
- Public
- Created
- Nov 6, 2023
- Updated
- Nov 6, 2023
- SHA
- 8328b8c9
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. -->
whisper-large-v2-lora-cgn
This model is a fine-tuned version of openai/whisper-large-v2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2623
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: 0.001
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 50
- num_epochs: 1
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.3312 | 0.17 | 50 | 0.3258 |
| 0.3107 | 0.35 | 100 | 0.3097 |
| 0.2899 | 0.52 | 150 | 0.2879 |
| 0.2851 | 0.69 | 200 | 0.2725 |
| 0.2856 | 0.86 | 250 | 0.2623 |
Framework versions
- Transformers 4.36.0.dev0
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1
- License
- apache-2.0
- Created
- Nov 6, 2023
- Updated
- Nov 6, 2023