---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: tts_tmit_add_transformer
  results: []
---

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# tts_tmit_add_transformer

This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the None dataset.
It achieves the following results on the evaluation set:
- eval_loss: 0.1570
- eval_wer: 0.1788
- eval_runtime: 27.4036
- eval_samples_per_second: 12.261
- eval_steps_per_second: 1.533
- epoch: 10.58
- step: 7107

## 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: 3e-05
- train_batch_size: 2
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2000
- training_steps: 13000
- mixed_precision_training: Native AMP

### Framework versions

- Transformers 4.17.0
- Pytorch 2.4.0
- Datasets 3.0.1
- Tokenizers 0.20.0