End of training

README.md

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+---
+library_name: transformers
+license: mit
+base_model: microsoft/speecht5_tts
+tags:
+- generated_from_trainer
+datasets:
+- voxpopuli/fi
+model-index:
+- name: speecht5_finetuned_voxpopuli_fi_lim_speakrs
+  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_fi_lim_speakrs
+
+This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) on the voxpopuli/fi dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4429
+
+## 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: 10
+- eval_batch_size: 2
+- seed: 42
+- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 250
+- training_steps: 8000
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 0.5587        | 1.25  | 500  | 0.4937          |
+| 0.5176        | 2.5   | 1000 | 0.4703          |
+| 0.4983        | 3.75  | 1500 | 0.4594          |
+| 0.5016        | 5.0   | 2000 | 0.4584          |
+| 0.4797        | 6.25  | 2500 | 0.4539          |
+| 0.4845        | 7.5   | 3000 | 0.4512          |
+| 0.4882        | 8.75  | 3500 | 0.4489          |
+| 0.4721        | 10.0  | 4000 | 0.4469          |
+| 0.4829        | 11.25 | 4500 | 0.4456          |
+| 0.4974        | 12.5  | 5000 | 0.4457          |
+| 0.4776        | 13.75 | 5500 | 0.4442          |
+| 0.4866        | 15.0  | 6000 | 0.4441          |
+| 0.4752        | 16.25 | 6500 | 0.4430          |
+| 0.4765        | 17.5  | 7000 | 0.4430          |
+| 0.4668        | 18.75 | 7500 | 0.4431          |
+| 0.4823        | 20.0  | 8000 | 0.4429          |
+
+
+### Framework versions
+
+- Transformers 4.46.2
+- Pytorch 2.5.1+cu121
+- Datasets 3.1.0
+- Tokenizers 0.20.3

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": "4.46.2"
+}