End of training

README.md

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+---
+library_name: transformers
+license: mit
+base_model: microsoft/speecht5_tts
+tags:
+- generated_from_trainer
+model-index:
+- name: HopefulASR
+  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. -->
+
+# HopefulASR
+
+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: 0.4022
+
+## 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: 4
+- eval_batch_size: 2
+- seed: 42
+- gradient_accumulation_steps: 8
+- total_train_batch_size: 32
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 100
+- training_steps: 2000
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch   | Step | Validation Loss |
+|:-------------:|:-------:|:----:|:---------------:|
+| 0.4624        | 3.0769  | 100  | 0.4358          |
+| 0.4523        | 6.1538  | 200  | 0.4288          |
+| 0.4385        | 9.2308  | 300  | 0.4148          |
+| 0.4288        | 12.3077 | 400  | 0.4126          |
+| 0.4262        | 15.3846 | 500  | 0.4114          |
+| 0.4236        | 18.4615 | 600  | 0.4128          |
+| 0.416         | 21.5385 | 700  | 0.4105          |
+| 0.4118        | 24.6154 | 800  | 0.4111          |
+| 0.4091        | 27.6923 | 900  | 0.4074          |
+| 0.4044        | 30.7692 | 1000 | 0.4085          |
+| 0.4048        | 33.8462 | 1100 | 0.4080          |
+| 0.402         | 36.9231 | 1200 | 0.4021          |
+| 0.3957        | 40.0    | 1300 | 0.4034          |
+| 0.3977        | 43.0769 | 1400 | 0.4027          |
+| 0.3982        | 46.1538 | 1500 | 0.4041          |
+| 0.395         | 49.2308 | 1600 | 0.4003          |
+| 0.3913        | 52.3077 | 1700 | 0.4017          |
+| 0.3969        | 55.3846 | 1800 | 0.4032          |
+| 0.3918        | 58.4615 | 1900 | 0.4024          |
+| 0.3898        | 61.5385 | 2000 | 0.4022          |
+
+
+### Framework versions
+
+- Transformers 4.44.2
+- Pytorch 2.4.1+cu121
+- Datasets 3.0.0
+- Tokenizers 0.19.1

generation_config.json

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+{
+  "max_length": 1876,
+  "transformers_version": "4.44.2"
+}

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runs/Sep25_13-23-59_1d6f1991f57a/events.out.tfevents.1727270669.1d6f1991f57a.608.1

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