End of training

README.md

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+---
+license: mit
+base_model: microsoft/speecht5_tts
+tags:
+- generated_from_trainer
+model-index:
+- name: zlm_b64_le5_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. -->
+
+# zlm_b64_le5_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: 0.3630
+
+## 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: 32
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 2
+- 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: 8500
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 0.4525        | 0.4188 | 500  | 0.4043          |
+| 0.4541        | 0.8375 | 1000 | 0.3992          |
+| 0.4355        | 1.2563 | 1500 | 0.3946          |
+| 0.4315        | 1.6750 | 2000 | 0.3966          |
+| 0.4329        | 2.0938 | 2500 | 0.3881          |
+| 0.4235        | 2.5126 | 3000 | 0.3829          |
+| 0.4179        | 2.9313 | 3500 | 0.3775          |
+| 0.4116        | 3.3501 | 4000 | 0.3739          |
+| 0.4107        | 3.7688 | 4500 | 0.3721          |
+| 0.4029        | 4.1876 | 5000 | 0.3693          |
+| 0.409         | 4.6064 | 5500 | 0.3680          |
+| 0.4061        | 5.0251 | 6000 | 0.3662          |
+| 0.403         | 5.4439 | 6500 | 0.3654          |
+| 0.3958        | 5.8626 | 7000 | 0.3630          |
+| 0.3952        | 6.2814 | 7500 | 0.3635          |
+| 0.3971        | 6.7002 | 8000 | 0.3627          |
+| 0.4004        | 7.1189 | 8500 | 0.3630          |
+
+
+### 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"
+}

model.safetensors

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