End of training

README.md

@@ -0,0 +1,65 @@
+---
+license: mit
+base_model: microsoft/speecht5_tts
+tags:
+- generated_from_trainer
+datasets:
+- common_voice_16_1
+model-index:
+- name: speecht5_tts_common_voice_uk
+  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. -->
+
+# speecht5_tts_common_voice_uk
+
+This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) on the common_voice_16_1 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.5430
+
+## 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: 64
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 500
+- num_epochs: 5
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 0.8074        | 1.0   | 422  | 0.5961          |
+| 0.571         | 2.0   | 844  | 0.5699          |
+| 0.5418        | 2.99  | 1266 | 0.5517          |
+| 0.5241        | 3.99  | 1688 | 0.5487          |
+| 0.5105        | 4.99  | 2110 | 0.5430          |
+
+
+### Framework versions
+
+- Transformers 4.37.2
+- Pytorch 1.12.1+cu116
+- Datasets 2.4.0
+- Tokenizers 0.15.1

added_tokens.json

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 }

config.json

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   "use_cache": false,
   "use_guided_attention_loss": true,
-  "vocab_size": 120
+  "vocab_size": 81
 }

generation_config.json

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+  "decoder_start_token_id": 2,
+  "eos_token_id": 2,
+  "max_length": 1876,
+  "pad_token_id": 1,
+  "transformers_version": "4.37.2"
+}

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