metadata

language:
  - ro
license: apache-2.0
base_model: iulik-pisik/horoscope_model_small
tags:
  - hf-asr-leaderboard
  - generated_from_trainer
datasets:
  - iulik-pisik/audio_vreme
metrics:
  - wer
model-index:
  - name: Horoscope Model Small - 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: 8.8779

Horoscope Model Base - finetuned on weather

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

Loss: 0.1875
Wer: 8.8779

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: 3000
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.0134	5.79	1000	0.1508	9.515
0.0006	11.82	2000	0.1713	9.1862
0.0001	17.39	3000	0.1875	8.8779

Framework versions

Transformers 4.39.2
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2