End of training

README.md

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+---
+license: mit
+base_model: microsoft/speecht5_tts
+tags:
+- generated_from_trainer
+model-index:
+- name: v1
+  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. -->
+
+# v1
+
+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: 0.4063
+
+## 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: 8
+- seed: 42
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 16
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 900
+- num_epochs: 10
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss |
+|:-------------:|:-----:|:-----:|:---------------:|
+| 0.4758        | 0.51  | 1000  | 0.4393          |
+| 0.4714        | 1.02  | 2000  | 0.4303          |
+| 0.4673        | 1.54  | 3000  | 0.4272          |
+| 0.4646        | 2.05  | 4000  | 0.4206          |
+| 0.4509        | 2.56  | 5000  | 0.4197          |
+| 0.4542        | 3.07  | 6000  | 0.4162          |
+| 0.4526        | 3.59  | 7000  | 0.4153          |
+| 0.4484        | 4.1   | 8000  | 0.4134          |
+| 0.4539        | 4.61  | 9000  | 0.4134          |
+| 0.4467        | 5.12  | 10000 | 0.4111          |
+| 0.4465        | 5.64  | 11000 | 0.4112          |
+| 0.4424        | 6.15  | 12000 | 0.4091          |
+| 0.4422        | 6.66  | 13000 | 0.4079          |
+| 0.4532        | 7.17  | 14000 | 0.4084          |
+| 0.447         | 7.69  | 15000 | 0.4074          |
+| 0.4398        | 8.2   | 16000 | 0.4069          |
+| 0.4386        | 8.71  | 17000 | 0.4068          |
+| 0.4379        | 9.22  | 18000 | 0.4069          |
+| 0.4345        | 9.74  | 19000 | 0.4063          |
+
+
+### Framework versions
+
+- Transformers 4.38.2
+- Pytorch 2.1.0+cu121
+- Datasets 2.18.0
+- Tokenizers 0.15.2

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": "4.38.2"
+}

runs/Mar07_08-21-16_f2465b8ce906/events.out.tfevents.1709799679.f2465b8ce906.6633.2

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