End of training

README.md

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+---
+license: mit
+base_model: microsoft/speecht5_tts
+tags:
+- generated_from_trainer
+model-index:
+- name: ceb_b64_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. -->
+
+# ceb_b64_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: 0.4050
+
+## 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: 4
+- 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: 2000
+- training_steps: 8000
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch    | Step | Validation Loss |
+|:-------------:|:--------:|:----:|:---------------:|
+| 0.4561        | 19.8020  | 500  | 0.4151          |
+| 0.4179        | 39.6040  | 1000 | 0.3994          |
+| 0.4075        | 59.4059  | 1500 | 0.4018          |
+| 0.3981        | 79.2079  | 2000 | 0.4029          |
+| 0.3862        | 99.0099  | 2500 | 0.3978          |
+| 0.3726        | 118.8119 | 3000 | 0.3978          |
+| 0.365         | 138.6139 | 3500 | 0.3960          |
+| 0.3525        | 158.4158 | 4000 | 0.3969          |
+| 0.3545        | 178.2178 | 4500 | 0.3982          |
+| 0.3473        | 198.0198 | 5000 | 0.4039          |
+| 0.3439        | 217.8218 | 5500 | 0.4020          |
+| 0.3371        | 237.6238 | 6000 | 0.4044          |
+| 0.3362        | 257.4257 | 6500 | 0.4041          |
+| 0.3311        | 277.2277 | 7000 | 0.4022          |
+| 0.3345        | 297.0297 | 7500 | 0.4051          |
+| 0.3348        | 316.8317 | 8000 | 0.4050          |
+
+
+### 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/May03_02-42-40_f1ee6ff06047/events.out.tfevents.1714704161.f1ee6ff06047.2167.1

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