End of training

README.md

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+---
+license: mit
+base_model: microsoft/speecht5_tts
+tags:
+- generated_from_trainer
+model-index:
+- name: fil_b128_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. -->
+
+# fil_b128_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: 0.4053
+
+## 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: 4
+- total_train_batch_size: 128
+- 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 |
+|:-------------:|:--------:|:----:|:---------------:|
+| 0.5575        | 43.4783  | 500  | 0.4795          |
+| 0.4877        | 86.9565  | 1000 | 0.4371          |
+| 0.4582        | 130.4348 | 1500 | 0.4196          |
+| 0.4486        | 173.9130 | 2000 | 0.4145          |
+| 0.4353        | 217.3913 | 2500 | 0.4096          |
+| 0.4261        | 260.8696 | 3000 | 0.4057          |
+| 0.4206        | 304.3478 | 3500 | 0.4049          |
+| 0.4117        | 347.8261 | 4000 | 0.4065          |
+| 0.4123        | 391.3043 | 4500 | 0.4029          |
+| 0.4117        | 434.7826 | 5000 | 0.4046          |
+| 0.4053        | 478.2609 | 5500 | 0.4045          |
+| 0.4064        | 521.7391 | 6000 | 0.4047          |
+| 0.4058        | 565.2174 | 6500 | 0.4042          |
+| 0.3995        | 608.6957 | 7000 | 0.4058          |
+| 0.4076        | 652.1739 | 7500 | 0.4054          |
+| 0.4042        | 695.6522 | 8000 | 0.4053          |
+
+
+### 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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