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---
language:
- mr
base_model: simran14/small_8_f
tags:
- generated_from_trainer
datasets:
- mozilla-foundation/common_voice_11_0
model-index:
- name: simrank14 Whisper small 7G 4e
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. -->
# simrank14 Whisper small 7G 4e
This model is a fine-tuned version of [simran14/small_8_f](https://huggingface.co/simran14/small_8_f) on the Common Voice 11.0 dataset.
It achieves the following results on the evaluation set:
- eval_loss: 0.3934
- eval_wer: 15.0836
- eval_runtime: 1238.9157
- eval_samples_per_second: 1.466
- eval_steps_per_second: 0.183
- epoch: 1.1331
- step: 200
## 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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- num_epochs: 4
- mixed_precision_training: Native AMP
### Framework versions
- Transformers 4.45.0.dev0
- Pytorch 2.4.0+cu121
- Datasets 2.20.1.dev0
- Tokenizers 0.19.1
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