End of training

README.md

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+---
+license: mit
+base_model: microsoft/speecht5_tts
+tags:
+- generated_from_trainer
+model-index:
+- name: fil_b32_le4_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_b32_le4_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: 0.4087
+
+## 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: 16
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 2
+- 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: 2000
+- training_steps: 8000
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch    | Step | Validation Loss |
+|:-------------:|:--------:|:----:|:---------------:|
+| 0.498         | 10.9890  | 500  | 0.4393          |
+| 0.448         | 21.9780  | 1000 | 0.4195          |
+| 0.4411        | 32.9670  | 1500 | 0.4205          |
+| 0.4347        | 43.9560  | 2000 | 0.4253          |
+| 0.4173        | 54.9451  | 2500 | 0.4151          |
+| 0.4012        | 65.9341  | 3000 | 0.4118          |
+| 0.4023        | 76.9231  | 3500 | 0.4092          |
+| 0.3873        | 87.9121  | 4000 | 0.4116          |
+| 0.381         | 98.9011  | 4500 | 0.4089          |
+| 0.3804        | 109.8901 | 5000 | 0.4093          |
+| 0.3724        | 120.8791 | 5500 | 0.4066          |
+| 0.3665        | 131.8681 | 6000 | 0.4092          |
+| 0.3635        | 142.8571 | 6500 | 0.4099          |
+| 0.3562        | 153.8462 | 7000 | 0.4075          |
+| 0.3581        | 164.8352 | 7500 | 0.4097          |
+| 0.3461        | 175.8242 | 8000 | 0.4087          |
+
+
+### 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"
+}

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runs/May04_12-50-10_6594d97984c3/events.out.tfevents.1714827011.6594d97984c3.2926.0

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