---
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