End of training

README.md

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+---
+license: mit
+base_model: microsoft/speecht5_tts
+tags:
+- generated_from_trainer
+model-index:
+- name: fil_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. -->
+
+# fil_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: 0.4246
+
+## 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: 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: 8000
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch    | Step | Validation Loss |
+|:-------------:|:--------:|:----:|:---------------:|
+| 0.4811        | 22.2222  | 500  | 0.4381          |
+| 0.4495        | 44.4444  | 1000 | 0.4216          |
+| 0.4293        | 66.6667  | 1500 | 0.4446          |
+| 0.4246        | 88.8889  | 2000 | 0.4177          |
+| 0.4094        | 111.1111 | 2500 | 0.4179          |
+| 0.3944        | 133.3333 | 3000 | 0.4232          |
+| 0.3794        | 155.5556 | 3500 | 0.4190          |
+| 0.3768        | 177.7778 | 4000 | 0.4187          |
+| 0.3743        | 200.0    | 4500 | 0.4276          |
+| 0.3598        | 222.2222 | 5000 | 0.4232          |
+| 0.3634        | 244.4444 | 5500 | 0.4203          |
+| 0.3558        | 266.6667 | 6000 | 0.4219          |
+| 0.3502        | 288.8889 | 6500 | 0.4230          |
+| 0.3529        | 311.1111 | 7000 | 0.4268          |
+| 0.3447        | 333.3333 | 7500 | 0.4254          |
+| 0.3371        | 355.5556 | 8000 | 0.4246          |
+
+
+### 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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+oid sha256:bac5d88852a73de44699e21de87441046ffc66b62df2d24a931dc5634e257a48
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