End of training
Browse files- README.md +74 -0
- generation_config.json +9 -0
README.md
ADDED
|
@@ -0,0 +1,74 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
license: mit
|
| 3 |
+
base_model: bregsi/speecht5_finetuned_voxpopuli_de
|
| 4 |
+
tags:
|
| 5 |
+
- generated_from_trainer
|
| 6 |
+
datasets:
|
| 7 |
+
- voxpopuli
|
| 8 |
+
model-index:
|
| 9 |
+
- name: speecht5_finetuned_voxpopuli_de_16
|
| 10 |
+
results: []
|
| 11 |
+
---
|
| 12 |
+
|
| 13 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
| 14 |
+
should probably proofread and complete it, then remove this comment. -->
|
| 15 |
+
|
| 16 |
+
# speecht5_finetuned_voxpopuli_de_16
|
| 17 |
+
|
| 18 |
+
This model is a fine-tuned version of [bregsi/speecht5_finetuned_voxpopuli_de](https://huggingface.co/bregsi/speecht5_finetuned_voxpopuli_de) on the voxpopuli dataset.
|
| 19 |
+
It achieves the following results on the evaluation set:
|
| 20 |
+
- Loss: 0.4477
|
| 21 |
+
|
| 22 |
+
## Model description
|
| 23 |
+
|
| 24 |
+
More information needed
|
| 25 |
+
|
| 26 |
+
## Intended uses & limitations
|
| 27 |
+
|
| 28 |
+
More information needed
|
| 29 |
+
|
| 30 |
+
## Training and evaluation data
|
| 31 |
+
|
| 32 |
+
More information needed
|
| 33 |
+
|
| 34 |
+
## Training procedure
|
| 35 |
+
|
| 36 |
+
### Training hyperparameters
|
| 37 |
+
|
| 38 |
+
The following hyperparameters were used during training:
|
| 39 |
+
- learning_rate: 1e-05
|
| 40 |
+
- train_batch_size: 4
|
| 41 |
+
- eval_batch_size: 2
|
| 42 |
+
- seed: 42
|
| 43 |
+
- gradient_accumulation_steps: 8
|
| 44 |
+
- total_train_batch_size: 32
|
| 45 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
| 46 |
+
- lr_scheduler_type: linear
|
| 47 |
+
- lr_scheduler_warmup_steps: 500
|
| 48 |
+
- training_steps: 12000
|
| 49 |
+
- mixed_precision_training: Native AMP
|
| 50 |
+
|
| 51 |
+
### Training results
|
| 52 |
+
|
| 53 |
+
| Training Loss | Epoch | Step | Validation Loss |
|
| 54 |
+
|:-------------:|:-------:|:-----:|:---------------:|
|
| 55 |
+
| 0.4928 | 2.2812 | 1000 | 0.4584 |
|
| 56 |
+
| 0.4885 | 4.5623 | 2000 | 0.4555 |
|
| 57 |
+
| 0.4831 | 6.8435 | 3000 | 0.4523 |
|
| 58 |
+
| 0.4815 | 9.1246 | 4000 | 0.4515 |
|
| 59 |
+
| 0.4786 | 11.4058 | 5000 | 0.4508 |
|
| 60 |
+
| 0.4735 | 13.6869 | 6000 | 0.4491 |
|
| 61 |
+
| 0.4734 | 15.9681 | 7000 | 0.4494 |
|
| 62 |
+
| 0.4729 | 18.2492 | 8000 | 0.4482 |
|
| 63 |
+
| 0.4678 | 20.5304 | 9000 | 0.4483 |
|
| 64 |
+
| 0.4722 | 22.8115 | 10000 | 0.4479 |
|
| 65 |
+
| 0.47 | 25.0927 | 11000 | 0.4481 |
|
| 66 |
+
| 0.4682 | 27.3738 | 12000 | 0.4477 |
|
| 67 |
+
|
| 68 |
+
|
| 69 |
+
### Framework versions
|
| 70 |
+
|
| 71 |
+
- Transformers 4.41.2
|
| 72 |
+
- Pytorch 2.3.1+cu121
|
| 73 |
+
- Datasets 2.19.2
|
| 74 |
+
- Tokenizers 0.19.1
|
generation_config.json
ADDED
|
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_from_model_config": true,
|
| 3 |
+
"bos_token_id": 0,
|
| 4 |
+
"decoder_start_token_id": 2,
|
| 5 |
+
"eos_token_id": 2,
|
| 6 |
+
"max_length": 1876,
|
| 7 |
+
"pad_token_id": 1,
|
| 8 |
+
"transformers_version": "4.41.2"
|
| 9 |
+
}
|