update model card README.md

README.md

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+---
+language:
+- ne
+base_model: aryamanstha/speecht5_nepali_oslr43_oslr143
+tags:
+- generated_from_trainer
+datasets:
+- swos
+model-index:
+- name: SpeechT5-TTS-Nepali-SLR43-SLR143-SWOS
+  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-Nepali-SLR43-SLR143-SWOS
+
+This model is a fine-tuned version of [aryamanstha/speecht5_nepali_oslr43_oslr143](https://huggingface.co/aryamanstha/speecht5_nepali_oslr43_oslr143) on the swos dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4827
+
+## 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: 128
+- eval_batch_size: 64
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 418
+- training_steps: 2615
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 0.4978        | 37.04 | 1000 | 0.4787          |
+| 0.4742        | 74.07 | 2000 | 0.4827          |
+
+
+### Framework versions
+
+- Transformers 4.31.0
+- Pytorch 2.2.1+cu121
+- Datasets 2.18.0
+- Tokenizers 0.13.3