transformers safetensors whisper automatic-speech-recognition generated_from_trainer base_model:darinchau/checkpoints license:apache-2.0 endpoints_compatible region:us
---
license: apache-2.0
base_model: darinchau/checkpoints
tags:
- generated_from_trainer
model-index:
- name: checkpoints
  results: []
---

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# checkpoints

This model is a fine-tuned version of [darinchau/checkpoints](https://huggingface.co/darinchau/checkpoints) on the None dataset.
It achieves the following results on the evaluation set:
- eval_loss: 0.8289
- eval_cer: 79.9622
- eval_runtime: 31.6459
- eval_samples_per_second: 3.16
- eval_steps_per_second: 0.221
- epoch: 35.11
- step: 3300

## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 4000
- mixed_precision_training: Native AMP

### Framework versions

- Transformers 4.36.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0
