---
license: apache-2.0
tags:
- whisper-event
- generated_from_trainer
base_model: openai/whisper-base
model-index:
- name: whisper-base-full-data-language-v2-20ep
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# whisper-base-full-data-language-v2-20ep

This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1929

## 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: 0.00015
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- distributed_type: tpu
- num_devices: 8
- gradient_accumulation_steps: 2
- total_train_batch_size: 256
- total_eval_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 5000
- training_steps: 63840

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.3116        | 1.57  | 5000  | 0.5301          |
| 0.2104        | 3.13  | 10000 | 0.4066          |
| 0.1729        | 4.7   | 15000 | 0.3555          |
| 0.1472        | 6.27  | 20000 | 0.3208          |
| 0.128         | 7.83  | 25000 | 0.2923          |
| 0.1065        | 9.4   | 30000 | 0.2719          |
| 0.0995        | 10.97 | 35000 | 0.2516          |
| 0.0812        | 12.53 | 40000 | 0.2368          |
| 0.066         | 14.1  | 45000 | 0.2230          |
| 0.0574        | 15.67 | 50000 | 0.2119          |
| 0.0463        | 17.23 | 55000 | 0.2028          |
| 0.04          | 18.8  | 60000 | 0.1957          |


### Framework versions

- Transformers 4.28.1
- Pytorch 2.1.0a0+gitcc01568
- Datasets 2.13.1
- Tokenizers 0.13.3