Arbi-Houssem
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End of training
Browse files- README.md +3 -5
- model.safetensors +1 -1
- runs/May23_10-52-23_cxrocket-SERVER/events.out.tfevents.1716457944.cxrocket-SERVER.106929.0 +3 -0
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- runs/May23_11-28-23_cxrocket-SERVER/events.out.tfevents.1716460104.cxrocket-SERVER.108700.0 +3 -0
- runs/May23_12-14-47_cxrocket-SERVER/events.out.tfevents.1716462887.cxrocket-SERVER.114282.0 +3 -0
- runs/May23_12-17-04_cxrocket-SERVER/events.out.tfevents.1716463025.cxrocket-SERVER.114560.0 +3 -0
- runs/May23_12-20-54_cxrocket-SERVER/events.out.tfevents.1716463254.cxrocket-SERVER.114735.0 +3 -0
- runs/May23_12-25-34_cxrocket-SERVER/events.out.tfevents.1716463535.cxrocket-SERVER.115526.0 +3 -0
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- runs/May23_12-27-45_cxrocket-SERVER/events.out.tfevents.1716463666.cxrocket-SERVER.115794.0 +3 -0
- training_args.bin +1 -1
README.md
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This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) on the datasetSTT-TTS dataset.
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It achieves the following results on the evaluation set:
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- Loss:
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## Model description
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- train_batch_size: 1
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- eval_batch_size: 8
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- seed: 42
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- gradient_accumulation_steps: 2
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- total_train_batch_size: 2
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_steps: 500
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| Training Loss | Epoch | Step | Validation Loss |
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| No log | 0.
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| No log | 0.
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### Framework versions
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This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) on the datasetSTT-TTS dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.9733
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## Model description
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- train_batch_size: 1
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- eval_batch_size: 8
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_steps: 500
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:------:|:----:|:---------------:|
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| No log | 0.4167 | 10 | 0.9837 |
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| No log | 0.8333 | 20 | 0.9733 |
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### Framework versions
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