End of training

README.md

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+---
+license: mit
+base_model: microsoft/speecht5_tts
+tags:
+- generated_from_trainer
+model-index:
+- name: ceb_b64_le5_s8000
+  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. -->
+
+# ceb_b64_le5_s8000
+
+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: 0.3930
+
+## 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: 32
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 64
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 2000
+- training_steps: 8000
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch    | Step | Validation Loss |
+|:-------------:|:--------:|:----:|:---------------:|
+| 0.5525        | 19.6078  | 500  | 0.4686          |
+| 0.4756        | 39.2157  | 1000 | 0.4276          |
+| 0.4543        | 58.8235  | 1500 | 0.4116          |
+| 0.4346        | 78.4314  | 2000 | 0.4028          |
+| 0.4292        | 98.0392  | 2500 | 0.3997          |
+| 0.4166        | 117.6471 | 3000 | 0.3952          |
+| 0.4122        | 137.2549 | 3500 | 0.3957          |
+| 0.4063        | 156.8627 | 4000 | 0.3940          |
+| 0.4028        | 176.4706 | 4500 | 0.3951          |
+| 0.3982        | 196.0784 | 5000 | 0.3931          |
+| 0.4055        | 215.6863 | 5500 | 0.3946          |
+| 0.4019        | 235.2941 | 6000 | 0.3925          |
+| 0.4           | 254.9020 | 6500 | 0.3940          |
+| 0.4046        | 274.5098 | 7000 | 0.3953          |
+| 0.3955        | 294.1176 | 7500 | 0.3945          |
+| 0.3944        | 313.7255 | 8000 | 0.3930          |
+
+
+### Framework versions
+
+- Transformers 4.41.0.dev0
+- Pytorch 2.2.1+cu121
+- Datasets 2.19.0
+- 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": "4.41.0.dev0"
+}

model.safetensors

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