|
--- |
|
language: |
|
- bn |
|
license: apache-2.0 |
|
base_model: bigscience/mt0-small |
|
tags: |
|
- generated_from_trainer |
|
metrics: |
|
- wer |
|
model-index: |
|
- name: Tahmid37/Tahmid37/mt0-small-text-to-ipa-v-final-1 |
|
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. --> |
|
|
|
# Tahmid37/Tahmid37/mt0-small-text-to-ipa-v-final-1 |
|
|
|
This model is a fine-tuned version of [bigscience/mt0-small](https://huggingface.co/bigscience/mt0-small) on the None dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.0536 |
|
- Wer: 0.0358 |
|
|
|
## 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: 0.001 |
|
- train_batch_size: 8 |
|
- eval_batch_size: 16 |
|
- seed: 42 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: linear |
|
- lr_scheduler_warmup_steps: 2000 |
|
- num_epochs: 3 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Wer | |
|
|:-------------:|:-----:|:-----:|:---------------:|:------:| |
|
| 0.1705 | 0.17 | 4000 | 0.0798 | 0.0763 | |
|
| 0.1399 | 0.34 | 8000 | 0.0799 | 0.0728 | |
|
| 0.1359 | 0.51 | 12000 | 0.0818 | 0.0778 | |
|
| 0.1323 | 0.67 | 16000 | 0.0818 | 0.0750 | |
|
| 0.1248 | 0.84 | 20000 | 0.0777 | 0.0683 | |
|
| 0.1217 | 1.01 | 24000 | 0.0768 | 0.0675 | |
|
| 0.0984 | 1.18 | 28000 | 0.0767 | 0.0691 | |
|
| 0.0937 | 1.35 | 32000 | 0.0734 | 0.0617 | |
|
| 0.0951 | 1.52 | 36000 | 0.0720 | 0.0590 | |
|
| 0.0884 | 1.69 | 40000 | 0.0676 | 0.0513 | |
|
| 0.0854 | 1.86 | 44000 | 0.0639 | 0.0491 | |
|
| 0.0836 | 2.02 | 48000 | 0.0629 | 0.0453 | |
|
| 0.0625 | 2.19 | 52000 | 0.0611 | 0.0443 | |
|
| 0.0606 | 2.36 | 56000 | 0.0598 | 0.0418 | |
|
| 0.0568 | 2.53 | 60000 | 0.0555 | 0.0383 | |
|
| 0.0521 | 2.7 | 64000 | 0.0553 | 0.0375 | |
|
| 0.0537 | 2.87 | 68000 | 0.0536 | 0.0358 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.34.1 |
|
- Pytorch 2.0.0 |
|
- Datasets 2.1.0 |
|
- Tokenizers 0.14.1 |
|
|
