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---
language:
- ro
base_model: iulik-udrik/vreme_model_tiny
tags:
- hf-asr-leaderboard
- generated_from_trainer
datasets:
- iulik-pisik/vreme_horoscop_tiny
metrics:
- wer
model-index:
- name: Vreme Model Tiny - finetuned on horoscope
results:
- task:
name: Automatic Speech Recognition
type: automatic-speech-recognition
dataset:
name: Horoscop Neti Sandu
type: iulik-pisik/vreme_horoscop_tiny
config: default
split: None
args: 'config: ro, split: test'
metrics:
- name: Wer
type: wer
value: 23.339011925042588
---
<!-- 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. -->
# Vreme Model Tiny - finetuned on horoscope
This model is a fine-tuned version of [iulik-udrik/vreme_model_tiny](https://huggingface.co/iulik-udrik/vreme_model_tiny) on the Horoscop Neti Sandu dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4493
- Wer: 23.3390
## 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: 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 |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 0.0345 | 9.71 | 1000 | 0.3666 | 23.7527 |
| 0.0022 | 19.42 | 2000 | 0.4232 | 22.7306 |
| 0.0011 | 29.13 | 3000 | 0.4421 | 23.1930 |
| 0.0009 | 38.83 | 4000 | 0.4493 | 23.3390 |
### Framework versions
- Transformers 4.39.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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