---
tags:
- generated_from_trainer
model-index:
- name: baseline_ebranchformer_v2.2_fp32_gated
  results: []
---

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# baseline_ebranchformer_v2.2_fp32_gated

This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.

## 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: 0.002
- train_batch_size: 64
- eval_batch_size: 32
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- total_train_batch_size: 512
- total_eval_batch_size: 256
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 20000
- num_epochs: 150.0

### Training results



### Framework versions

- Transformers 4.40.0.dev0
- Pytorch 2.2.0+rocm5.6
- Datasets 2.18.0
- Tokenizers 0.15.2

### Wandb run
https://wandb.ai/butspeechfit/librispeech_aed/runs/baseline_ebranchformer_v2.2_fp32_gated