End of training

README.md

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+---
+library_name: transformers
+license: mit
+base_model: microsoft/speecht5_tts
+tags:
+- generated_from_trainer
+datasets:
+- common_voice_17_0
+model-index:
+- name: Hindi_SpeechT5_finetuned
+  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. -->
+
+# Hindi_SpeechT5_finetuned
+
+This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) on the common_voice_17_0 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4484
+
+## 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: 0.0001
+- train_batch_size: 4
+- eval_batch_size: 2
+- seed: 42
+- gradient_accumulation_steps: 8
+- total_train_batch_size: 32
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 100
+- training_steps: 1500
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 0.6781        | 0.3442 | 100  | 0.5528          |
+| 0.5834        | 0.6885 | 200  | 0.5470          |
+| 0.554         | 1.0327 | 300  | 0.5090          |
+| 0.5397        | 1.3769 | 400  | 0.5025          |
+| 0.526         | 1.7212 | 500  | 0.4872          |
+| 0.5224        | 2.0654 | 600  | 0.4846          |
+| 0.515         | 2.4096 | 700  | 0.4754          |
+| 0.5047        | 2.7539 | 800  | 0.4703          |
+| 0.5014        | 3.0981 | 900  | 0.4689          |
+| 0.4946        | 3.4423 | 1000 | 0.4601          |
+| 0.4912        | 3.7866 | 1100 | 0.4584          |
+| 0.4847        | 4.1308 | 1200 | 0.4554          |
+| 0.4824        | 4.4750 | 1300 | 0.4514          |
+| 0.4831        | 4.8193 | 1400 | 0.4501          |
+| 0.4723        | 5.1635 | 1500 | 0.4484          |
+
+
+### Framework versions
+
+- Transformers 4.44.2
+- Pytorch 2.5.0+cu121
+- Datasets 3.0.2
+- 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": "4.44.2"
+}