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_improved_data_w_ljspeech
+  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_improved_data_w_ljspeech
+
+This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.5702
+
+## 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: 8
+- eval_batch_size: 2
+- seed: 42
+- gradient_accumulation_steps: 8
+- 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: 500
+- training_steps: 3000
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 0.9234        | 0.8097 | 250  | 0.7694          |
+| 0.7666        | 1.6194 | 500  | 0.6657          |
+| 0.6923        | 2.4291 | 750  | 0.6291          |
+| 0.6783        | 3.2389 | 1000 | 0.6109          |
+| 0.6572        | 4.0486 | 1250 | 0.5961          |
+| 0.6631        | 4.8583 | 1500 | 0.5909          |
+| 0.6413        | 5.6680 | 1750 | 0.5809          |
+| 0.6471        | 6.4777 | 2000 | 0.5798          |
+| 0.6336        | 7.2874 | 2250 | 0.5733          |
+| 0.6353        | 8.0972 | 2500 | 0.5723          |
+| 0.6257        | 8.9069 | 2750 | 0.5700          |
+| 0.632         | 9.7166 | 3000 | 0.5702          |
+
+
+### Framework versions
+
+- Transformers 4.44.2
+- Pytorch 2.1.2
+- Datasets 2.17.0
+- 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"
+}