End of training

README.md

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+---
+language:
+- ti
+license: mit
+base_model: microsoft/speecht5_tts
+tags:
+- tigrinya, tts
+- generated_from_trainer
+datasets:
+- tigregna_parallel
+model-index:
+- name: TTS_tigregna
+  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. -->
+
+# TTS_tigregna
+
+This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) on the tigregna_20_hr dataset.
+It achieves the following results on the evaluation set:
+- Loss: nan
+
+## 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: 8
+- 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: 500
+- training_steps: 20000
+
+### Training results
+
+| Training Loss | Epoch  | Step  | Validation Loss |
+|:-------------:|:------:|:-----:|:---------------:|
+| 0.0           | 11.33  | 1000  | nan             |
+| 0.0           | 22.66  | 2000  | nan             |
+| 0.0           | 33.99  | 3000  | nan             |
+| 0.0           | 45.33  | 4000  | nan             |
+| 0.0           | 56.66  | 5000  | nan             |
+| 0.0           | 67.99  | 6000  | nan             |
+| 0.0           | 79.32  | 7000  | nan             |
+| 0.0           | 90.65  | 8000  | nan             |
+| 0.0           | 101.98 | 9000  | nan             |
+| 0.0           | 113.31 | 10000 | nan             |
+| 0.0           | 124.65 | 11000 | nan             |
+| 0.0           | 135.98 | 12000 | nan             |
+| 0.0           | 147.31 | 13000 | nan             |
+| 0.0           | 158.64 | 14000 | nan             |
+| 0.0           | 169.97 | 15000 | nan             |
+| 0.0           | 181.3  | 16000 | nan             |
+| 0.0           | 192.63 | 17000 | nan             |
+| 0.0           | 203.97 | 18000 | nan             |
+| 0.0           | 215.3  | 19000 | nan             |
+| 0.0           | 226.63 | 20000 | nan             |
+
+
+### Framework versions
+
+- Transformers 4.38.1
+- 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": "4.38.1",
+  "use_cache": false
+}

model.safetensors

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