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---
license: apache-2.0
base_model: openai/whisper-small
tags:
- generated_from_trainer
model-index:
- name: whisper-small-ga2en-v3.2-r
results: []
datasets:
- ymoslem/IWSLT2023-GA-EN
- ymoslem/FLEURS-GA-EN
- ymoslem/BitesizeIrish-GA-EN
- ymoslem/SpokenWords-GA-EN-MTed
- ymoslem/Tatoeba-Speech-Irish
- ymoslem/Wikimedia-Speech-Irish
language:
- ga
- en
metrics:
- bleu
- wer
- chrf
library_name: transformers
---
<!-- 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-ga2en-v3.2-r
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co./openai/whisper-small)
on the IWSLT-2023, FLEURS, BiteSize, SpokenWords, Tatoeba, and Wikimedia datasets.
The best model checkpoint (this version) based on ChrF is at step 2700, epoch 3.5433, and
it achieves the following results on the evaluation set:
- Loss: 1.4313
- Bleu: 30.87
- Chrf: 47.72
- Wer: 64.2954
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Hardware
1 NVIDIA A100-SXM4-80GB
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.0001
- train_batch_size: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- training_steps: 3000
- mixed_precision_training: Native AMP
### Training results
|Step |Training Loss |Validation Loss |Bleu |Chrf |Wer|
|:-------------:|:------:|:----:|:---------------:|:-----:|:-----:|
|100 |2.311900 |1.773697 |9.20 |28.23 |120.486267|
|200 |1.870000 |1.479052 |16.90 |33.01 |83.701036|
|300 |1.627700 |1.372679 |20.33 |38.68 |84.061234|
|400 |1.460400 |1.309611 |24.52 |40.37 |74.696083|
|500 |1.336300 |1.283173 |20.35 |40.77 |86.537596|
|600 |1.193300 |1.255632 |20.63 |41.37 |95.632598|
|700 |1.015600 |1.251285 |21.24 |41.42 |82.170194|
|800 |0.518300 |1.292586 |28.08 |44.76 |66.951824|
|900 |0.467300 |1.329429 |25.16 |42.93 |76.316974|
|1000 |0.438700 |1.330984 |28.29 |46.08 |67.672220|
|1100 |0.403600 |1.300828 |27.43 |46.32 |68.977938|
|1200 |0.379500 |1.323791 |30.02 |45.48 |63.800090|
|1300 |0.337100 |1.327949 |30.40 |47.61 |61.999100|
|1400 |0.288000 |1.359497 |28.13 |44.60 |66.501576|
|1500 |0.265100 |1.355470 |26.58 |45.51 |71.319226|
|1600 |0.100800 |1.400149 |26.19 |46.02 |72.985142|
|1700 |0.092300 |1.383455 |24.83 |46.18 |77.532643|
|1800 |0.103900 |1.404863 |22.19 |43.19 |88.743809|
|1900 |0.090100 |1.402833 |29.73 |45.85 |66.186403|
|2000 |0.084200 |1.418717 |28.18 |45.29 |73.570464|
|2100 |0.074800 |1.461650 |26.58 |44.66 |74.020711|
|2200 |0.072000 |1.400547 |31.01 |47.30 |61.143629|
|2300 |0.042900 |1.424147 |28.72 |45.53 |65.511031|
|2400 |0.025200 |1.412174 |27.18 |47.19 |74.020711|
|2500 |0.026500 |1.438945 |30.01 |46.73 |65.105808|
|2600 |0.023300 |1.454140 |30.93 |46.65 |62.404322|
|2700 |0.021600 |1.431275 |30.87 |47.72 |64.295362|
|2800 |0.019200 |1.439022 |30.50 |46.98 |65.150833|
|2900 |0.018200 |1.439916 |31.09 |47.27 |63.529941|
|3000 |0.019000 |1.444545 |30.83 |47.35 |64.205313|
### Framework versions
- Transformers 4.40.2
- Pytorch 2.2.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1 |