End of training

README.md

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+---
+library_name: transformers
+license: mit
+base_model: microsoft/speecht5_tts
+tags:
+- generated_from_trainer
+model-index:
+- name: uz_2301_3.1_tts
+  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. -->
+
+# uz_2301_3.1_tts
+
+This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4577
+
+## 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: 0.0003
+- train_batch_size: 32
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Use adamw_bnb_8bit 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: 500
+- training_steps: 7000
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 0.5566        | 10.0  | 500  | 0.4779          |
+| 0.441         | 20.0  | 1000 | 0.4353          |
+| 0.4194        | 30.0  | 1500 | 0.4364          |
+| 0.4018        | 40.0  | 2000 | 0.4254          |
+| 0.3771        | 50.0  | 2500 | 0.4184          |
+| 0.3807        | 60.0  | 3000 | 0.4363          |
+| 0.3615        | 70.0  | 3500 | 0.4384          |
+| 0.3492        | 80.0  | 4000 | 0.4462          |
+| 0.3323        | 90.0  | 4500 | 0.4423          |
+| 0.3281        | 100.0 | 5000 | 0.4445          |
+| 0.3299        | 110.0 | 5500 | 0.4454          |
+| 0.3145        | 120.0 | 6000 | 0.4464          |
+| 0.3192        | 130.0 | 6500 | 0.4540          |
+| 0.3108        | 140.0 | 7000 | 0.4577          |
+
+
+### Framework versions
+
+- Transformers 4.48.3
+- Pytorch 2.5.1+cu121
+- Datasets 3.2.0
+- Tokenizers 0.21.0

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": "4.48.3"
+}

model.safetensors

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