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_binisha
+  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_binisha
+
+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: 0.6198
+
+## 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 |
+|:-------------:|:---------:|:----:|:---------------:|
+| 0.5825        | 88.8889   | 100  | 0.5775          |
+| 0.4984        | 177.7778  | 200  | 0.6064          |
+| 0.4252        | 266.6667  | 300  | 0.5800          |
+| 0.3997        | 355.5556  | 400  | 0.5745          |
+| 0.366         | 444.4444  | 500  | 0.5863          |
+| 0.3521        | 533.3333  | 600  | 0.5969          |
+| 0.3308        | 622.2222  | 700  | 0.5716          |
+| 0.32          | 711.1111  | 800  | 0.5757          |
+| 0.3088        | 800.0     | 900  | 0.6095          |
+| 0.3006        | 888.8889  | 1000 | 0.6352          |
+| 0.2911        | 977.7778  | 1100 | 0.6207          |
+| 0.2849        | 1066.6667 | 1200 | 0.6181          |
+| 0.2869        | 1155.5556 | 1300 | 0.6321          |
+| 0.2853        | 1244.4444 | 1400 | 0.6271          |
+| 0.285         | 1333.3333 | 1500 | 0.6198          |
+
+
+### Framework versions
+
+- Transformers 4.44.2
+- Pytorch 2.5.0+cu121
+- Datasets 3.1.0
+- 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"
+}

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runs/Nov10_05-10-09_7e6dd016ad58/events.out.tfevents.1731215446.7e6dd016ad58.1973.0

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