File size: 1,871 Bytes
0811421 97fac3b 0811421 97fac3b 0811421 97fac3b 0811421 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 |
---
license: mit
tags:
- generated_from_trainer
model-index:
- name: speecht5_finetuned_voxpopuli_de_Merkel
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_voxpopuli_de_Merkel
This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4112
## 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
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.4831 | 4.06 | 1000 | 0.4406 |
| 0.4583 | 8.12 | 2000 | 0.4271 |
| 0.4482 | 12.18 | 3000 | 0.4177 |
| 0.4435 | 16.24 | 4000 | 0.4148 |
| 0.433 | 20.3 | 5000 | 0.4142 |
| 0.4333 | 24.37 | 6000 | 0.4128 |
| 0.4306 | 28.43 | 7000 | 0.4111 |
| 0.4288 | 32.49 | 8000 | 0.4110 |
| 0.4262 | 36.55 | 9000 | 0.4109 |
| 0.4228 | 40.61 | 10000 | 0.4112 |
### Framework versions
- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Datasets 2.13.0
- Tokenizers 0.13.3
|