---
library_name: transformers
license: apache-2.0
base_model: openai/whisper-large-v2
tags:
- generated_from_trainer
model-index:
- name: second2
  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. -->

# second2

This model is a fine-tuned version of [openai/whisper-large-v2](https://huggingface.co/openai/whisper-large-v2) on an unknown dataset.
It achieves the following results on the evaluation set:
- eval_loss: 0.2553
- eval_cer: 3.9437
- eval_wer: 13.3115
- eval_bleu: 0.7447
- eval_runtime: 981.1698
- eval_samples_per_second: 0.936
- eval_steps_per_second: 0.234
- epoch: 0.96
- step: 4500

## 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: 4
- seed: 420
- gradient_accumulation_steps: 8
- total_train_batch_size: 64
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2
- training_steps: 10500
- mixed_precision_training: Native AMP

### Framework versions

- Transformers 4.52.0
- Pytorch 2.9.1+cu126
- Datasets 3.6.0
- Tokenizers 0.21.4