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---
tags:
- generated_from_trainer
datasets:
- multilingual_librispeech
model-index:
- name: speecht5_finetuned_male_globo_add_token_3_facebook
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. -->
# speecht5_finetuned_male_globo_add_token_3_facebook
This model was trained from scratch on the multilingual_librispeech dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3585
## 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: 4
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 10000
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.4143 | 2.6 | 1000 | 0.3794 |
| 0.4056 | 5.2 | 2000 | 0.3701 |
| 0.3983 | 7.81 | 3000 | 0.3665 |
| 0.3988 | 10.41 | 4000 | 0.3641 |
| 0.3912 | 13.01 | 5000 | 0.3626 |
| 0.3901 | 15.61 | 6000 | 0.3604 |
| 0.3864 | 18.22 | 7000 | 0.3605 |
| 0.3895 | 20.82 | 8000 | 0.3591 |
| 0.3848 | 23.42 | 9000 | 0.3587 |
| 0.3868 | 26.02 | 10000 | 0.3585 |
### Framework versions
- Transformers 4.39.0.dev0
- Pytorch 2.2.1
- Datasets 2.18.0
- Tokenizers 0.15.2
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