End of training

README.md

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+---
+license: mit
+base_model: microsoft/speecht5_tts
+tags:
+- generated_from_trainer
+model-index:
+- name: speecht5_finetuned_kazakh_tts2_1
+  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_kazakh_tts2_1
+
+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: 0.4800
+
+## 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: 4
+- 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: 200
+- training_steps: 2000
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 0.725         | 0.06  | 100  | 0.6639          |
+| 0.6132        | 0.11  | 200  | 0.5466          |
+| 0.571         | 0.17  | 300  | 0.5207          |
+| 0.5647        | 0.22  | 400  | 0.5120          |
+| 0.5556        | 0.28  | 500  | 0.5047          |
+| 0.5475        | 0.34  | 600  | 0.5003          |
+| 0.5432        | 0.39  | 700  | 0.4975          |
+| 0.5366        | 0.45  | 800  | 0.4944          |
+| 0.5376        | 0.5   | 900  | 0.4913          |
+| 0.5325        | 0.56  | 1000 | 0.4868          |
+| 0.5281        | 0.62  | 1100 | 0.4861          |
+| 0.5288        | 0.67  | 1200 | 0.4848          |
+| 0.5251        | 0.73  | 1300 | 0.4825          |
+| 0.5213        | 0.78  | 1400 | 0.4818          |
+| 0.5225        | 0.84  | 1500 | 0.4823          |
+| 0.5199        | 0.9   | 1600 | 0.4812          |
+| 0.5211        | 0.95  | 1700 | 0.4816          |
+| 0.5194        | 1.01  | 1800 | 0.4826          |
+| 0.5224        | 1.06  | 1900 | 0.4798          |
+| 0.5213        | 1.12  | 2000 | 0.4800          |
+
+
+### Framework versions
+
+- Transformers 4.38.1
+- Pytorch 2.2.1+cu118
+- Datasets 2.18.0
+- Tokenizers 0.15.2

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": "4.38.1"
+}

model.safetensors

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