djelia
/

bm-whisper-large-v4-training

Feature Extraction

Model card Files Files and versions

Metrics Training metrics Community

You need to agree to share your contact information to access this model

This repository is publicly accessible, but you have to accept the conditions to access its files and content.

Log in or Sign Up to review the conditions and access this model content.

Configuration Parsing Warning:In adapter_config.json: "peft.task_type" must be a string

bm-whisper-large-v4-training

This model is a fine-tuned version of djelia/bm-whisper-large-v3-tuned on an unknown dataset.

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: 4.375e-06
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 16
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
lr_scheduler_warmup_ratio: 0.1
training_steps: 20

Training results

Framework versions

PEFT 0.17.0
Transformers 4.55.0
Pytorch 2.8.0+cu128
Datasets 3.6.0
Tokenizers 0.21.4

Downloads last month: 3

Model tree for djelia/bm-whisper-large-v4-training

Base model

djelia/bm-whisper-large-v3-tuned

Adapter

(4)

this model