End of training

README.md

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+---
+license: mit
+base_model: microsoft/speecht5_tts
+tags:
+- generated_from_trainer
+datasets:
+- voxpopuli
+model-index:
+- name: speecht5-ft-voxpopuli-de
+  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-ft-voxpopuli-de
+
+This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) on the voxpopuli dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4765
+
+## 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: 16
+- total_train_batch_size: 64
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 500
+- training_steps: 1000
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 0.7031        | 0.26  | 100  | 0.6229          |
+| 0.6411        | 0.52  | 200  | 0.5748          |
+| 0.5811        | 0.77  | 300  | 0.5216          |
+| 0.5542        | 1.03  | 400  | 0.5015          |
+| 0.5404        | 1.29  | 500  | 0.4908          |
+| 0.533         | 1.55  | 600  | 0.4846          |
+| 0.5243        | 1.8   | 700  | 0.4821          |
+| 0.5231        | 2.06  | 800  | 0.4790          |
+| 0.5202        | 2.32  | 900  | 0.4774          |
+| 0.518         | 2.58  | 1000 | 0.4765          |
+
+
+### Framework versions
+
+- Transformers 4.39.2
+- Pytorch 2.3.0+cu121
+- Datasets 2.16.1
+- Tokenizers 0.15.1

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 0,
+  "decoder_start_token_id": 2,
+  "eos_token_id": 2,
+  "max_length": 1876,
+  "pad_token_id": 1,
+  "transformers_version": "4.39.2"
+}