End of training

README.md

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+---
+library_name: transformers
+license: mit
+base_model: microsoft/speecht5_tts
+tags:
+- generated_from_trainer
+datasets:
+- lj_speech
+model-index:
+- name: speecht5_finetuned_English
+  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_English
+
+This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) on the lj_speech dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3717
+
+## 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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- 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 |
+|:-------------:|:------:|:----:|:---------------:|
+| 3.772         | 0.3053 | 100  | 0.4201          |
+| 3.5912        | 0.6107 | 200  | 0.4052          |
+| 3.4604        | 0.9160 | 300  | 0.3948          |
+| 3.3894        | 1.2214 | 400  | 0.3906          |
+| 3.3737        | 1.5267 | 500  | 0.3865          |
+| 3.3628        | 1.8321 | 600  | 0.3851          |
+| 3.3236        | 2.1374 | 700  | 0.3821          |
+| 3.306         | 2.4427 | 800  | 0.3811          |
+| 3.2859        | 2.7481 | 900  | 0.3797          |
+| 3.2663        | 3.0534 | 1000 | 0.3763          |
+| 3.2368        | 3.3588 | 1100 | 0.3757          |
+| 3.2107        | 3.6641 | 1200 | 0.3749          |
+| 3.2035        | 3.9695 | 1300 | 0.3730          |
+| 3.1969        | 4.2748 | 1400 | 0.3728          |
+| 3.2107        | 4.5802 | 1500 | 0.3717          |
+
+
+### Framework versions
+
+- Transformers 4.46.0.dev0
+- Pytorch 2.4.1+cu121
+- Datasets 3.0.2
+- Tokenizers 0.20.1

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": "4.46.0.dev0"
+}