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_sample
+  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_sample
+
+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: 0.6517
+
+## 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 |
+|:-------------:|:---------:|:----:|:---------------:|
+| 0.581         | 88.8889   | 100  | 0.6059          |
+| 0.4879        | 177.7778  | 200  | 0.5648          |
+| 0.4272        | 266.6667  | 300  | 0.5928          |
+| 0.3992        | 355.5556  | 400  | 0.6150          |
+| 0.3642        | 444.4444  | 500  | 0.5903          |
+| 0.349         | 533.3333  | 600  | 0.6436          |
+| 0.3298        | 622.2222  | 700  | 0.6391          |
+| 0.3178        | 711.1111  | 800  | 0.6306          |
+| 0.3041        | 800.0     | 900  | 0.6405          |
+| 0.2981        | 888.8889  | 1000 | 0.6490          |
+| 0.2913        | 977.7778  | 1100 | 0.6502          |
+| 0.2846        | 1066.6667 | 1200 | 0.6444          |
+| 0.2873        | 1155.5556 | 1300 | 0.6636          |
+| 0.2857        | 1244.4444 | 1400 | 0.6504          |
+| 0.2839        | 1333.3333 | 1500 | 0.6517          |
+
+
+### 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"
+}

model.safetensors

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runs/Nov08_05-26-03_50e3a0103cca/events.out.tfevents.1731043569.50e3a0103cca.716.0

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