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---
base_model: openai/whisper-small
datasets:
- mozilla-foundation/common_voice_11_0
language:
- mr
library_name: peft
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: MarathiLORA_test
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. -->
# MarathiLORA_test
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 11.0 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3212
## 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: 0.0001
- train_batch_size: 8
- 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: 50
- training_steps: 3000
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 1.1553 | 0.2037 | 100 | 0.7732 |
| 0.6893 | 0.4073 | 200 | 0.6536 |
| 0.5571 | 0.6110 | 300 | 0.4662 |
| 0.438 | 0.8147 | 400 | 0.4299 |
| 0.3976 | 1.0183 | 500 | 0.4117 |
| 0.3582 | 1.2220 | 600 | 0.3969 |
| 0.3537 | 1.4257 | 700 | 0.3871 |
| 0.3379 | 1.6293 | 800 | 0.3749 |
| 0.3182 | 1.8330 | 900 | 0.3629 |
| 0.3198 | 2.0367 | 1000 | 0.3572 |
| 0.2771 | 2.2403 | 1100 | 0.3505 |
| 0.2886 | 2.4440 | 1200 | 0.3482 |
| 0.2707 | 2.6477 | 1300 | 0.3457 |
| 0.2777 | 2.8513 | 1400 | 0.3406 |
| 0.2615 | 3.0550 | 1500 | 0.3337 |
| 0.2361 | 3.2587 | 1600 | 0.3320 |
| 0.2436 | 3.4623 | 1700 | 0.3319 |
| 0.2375 | 3.6660 | 1800 | 0.3284 |
| 0.2321 | 3.8697 | 1900 | 0.3282 |
| 0.224 | 4.0733 | 2000 | 0.3255 |
| 0.211 | 4.2770 | 2100 | 0.3270 |
| 0.203 | 4.4807 | 2200 | 0.3257 |
| 0.2074 | 4.6843 | 2300 | 0.3227 |
| 0.2185 | 4.8880 | 2400 | 0.3234 |
| 0.2117 | 5.0916 | 2500 | 0.3232 |
| 0.1913 | 5.2953 | 2600 | 0.3228 |
| 0.1921 | 5.4990 | 2700 | 0.3219 |
| 0.1888 | 5.7026 | 2800 | 0.3217 |
| 0.1925 | 5.9063 | 2900 | 0.3216 |
| 0.1955 | 6.1100 | 3000 | 0.3212 |
### Framework versions
- PEFT 0.12.1.dev0
- Transformers 4.44.0
- Pytorch 2.4.0
- Datasets 2.21.0
- Tokenizers 0.19.1 |