metadata

language:
  - ro
license: apache-2.0
base_model: iulik-pisik/horoscope_model_base
tags:
  - hf-asr-leaderboard
  - generated_from_trainer
datasets:
  - iulik-pisik/audio_vreme
metrics:
  - wer
model-index:
  - name: Horoscope Model Base - finetuned on weather
    results:
      - task:
          name: Automatic Speech Recognition
          type: automatic-speech-recognition
        dataset:
          name: Vreme ProTV
          type: iulik-pisik/audio_vreme
          config: default
          split: test
          args: 'config: ro, split: test'
        metrics:
          - name: Wer
            type: wer
            value: 11.89889025893958

Horoscope Model Base - finetuned on weather

This model is a fine-tuned version of iulik-pisik/horoscope_model_base on the Vreme ProTV dataset. It achieves the following results on the evaluation set:

Loss: 0.2407
Wer: 11.8989

Model description

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 1e-05
train_batch_size: 16
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
training_steps: 4000
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.0227	6.02	1000	0.1744	13.2758
0.001	12.05	2000	0.2217	12.0222
0.0004	18.07	3000	0.2365	11.9194
0.0003	24.1	4000	0.2407	11.8989

Framework versions

Transformers 4.39.2
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2