File size: 1,506 Bytes
de6f583 a0c01ea 54df2b4 de6f583 54df2b4 de6f583 54df2b4 de6f583 54df2b4 de6f583 54df2b4 de6f583 54df2b4 de6f583 54df2b4 de6f583 54df2b4 de6f583 54df2b4 de6f583 54df2b4 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 |
---
language:
- vi
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- JRHuy/vivos-fleurs
model-index:
- name: Whisper Small Vietnamese - Steve Hoang
results: []
---
<!-- 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 Small Vietnamese - Steve Hoang
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Vietnamese ASR dataset.
It achieves the following results on the evaluation set:
- Loss: 1.5475
## 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: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant_with_warmup
- lr_scheduler_warmup_steps: 50
- training_steps: 300
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.5095 | 0.11 | 100 | 2.3242 |
| 2.0473 | 0.21 | 200 | 1.9481 |
| 1.6277 | 0.32 | 300 | 1.5475 |
### Framework versions
- Transformers 4.30.0
- Pytorch 2.1.2
- Datasets 2.20.0
- Tokenizers 0.13.3
|