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: speecht5_finetuned_Bengali_shabdobhedii
+  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_Bengali_shabdobhedii
+
+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: 0.5902
+
+## 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: 4
+- 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 |
+|:-------------:|:------:|:----:|:---------------:|
+| 0.7972        | 0.3388 | 100  | 0.7451          |
+| 0.7235        | 0.6777 | 200  | 0.6852          |
+| 0.6903        | 1.0165 | 300  | 0.6570          |
+| 0.6906        | 1.3554 | 400  | 0.6403          |
+| 0.676         | 1.6942 | 500  | 0.6299          |
+| 0.6851        | 2.0330 | 600  | 0.6257          |
+| 0.6583        | 2.3719 | 700  | 0.6170          |
+| 0.654         | 2.7107 | 800  | 0.6163          |
+| 0.6419        | 3.0496 | 900  | 0.6112          |
+| 0.6344        | 3.3884 | 1000 | 0.6055          |
+| 0.626         | 3.7272 | 1100 | 0.6002          |
+| 0.6203        | 4.0661 | 1200 | 0.5949          |
+| 0.6253        | 4.4049 | 1300 | 0.5938          |
+| 0.6127        | 4.7438 | 1400 | 0.5894          |
+| 0.6104        | 5.0826 | 1500 | 0.5902          |
+
+
+### Framework versions
+
+- Transformers 4.44.2
+- Pytorch 2.4.1+cu121
+- Datasets 3.0.1
+- 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"
+}

model.safetensors

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