End of training

README.md

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+---
+language:
+- sk
+license: mit
+base_model: microsoft/speecht5_tts
+tags:
+- generated_from_trainer
+datasets:
+- facebook/voxpopuli
+model-index:
+- name: SpeechT5 TTS Slovak v3
+  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 TTS Slovak v3
+
+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: 0.4046
+
+## 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: 32
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 2
+- 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: 10000
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch   | Step  | Validation Loss |
+|:-------------:|:-------:|:-----:|:---------------:|
+| 0.5259        | 3.2258  | 500   | 0.4625          |
+| 0.4823        | 6.4516  | 1000  | 0.4345          |
+| 0.4702        | 9.6774  | 1500  | 0.4258          |
+| 0.4502        | 12.9032 | 2000  | 0.4189          |
+| 0.4579        | 16.1290 | 2500  | 0.4173          |
+| 0.4418        | 19.3548 | 3000  | 0.4134          |
+| 0.448         | 22.5806 | 3500  | 0.4117          |
+| 0.4467        | 25.8065 | 4000  | 0.4094          |
+| 0.4388        | 29.0323 | 4500  | 0.4084          |
+| 0.4327        | 32.2581 | 5000  | 0.4071          |
+| 0.4398        | 35.4839 | 5500  | 0.4069          |
+| 0.4381        | 38.7097 | 6000  | 0.4065          |
+| 0.4357        | 41.9355 | 6500  | 0.4053          |
+| 0.4352        | 45.1613 | 7000  | 0.4059          |
+| 0.4298        | 48.3871 | 7500  | 0.4050          |
+| 0.4293        | 51.6129 | 8000  | 0.4043          |
+| 0.4342        | 54.8387 | 8500  | 0.4050          |
+| 0.4309        | 58.0645 | 9000  | 0.4045          |
+| 0.4277        | 61.2903 | 9500  | 0.4047          |
+| 0.4319        | 64.5161 | 10000 | 0.4046          |
+
+
+### Framework versions
+
+- Transformers 4.42.0.dev0
+- Pytorch 2.3.0+cu121
+- Datasets 2.20.0
+- Tokenizers 0.19.1

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": "4.42.0.dev0"
+}

model.safetensors

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