End of training
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README.md
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metrics:
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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#
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- Wer:
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## Model description
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The following hyperparameters were used during training:
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- learning_rate: 1e-05
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- train_batch_size:
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- eval_batch_size: 16
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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 | Wer |
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### Framework versions
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metrics:
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- wer
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model-index:
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- name: Whisper_small_ro_VladS_02_14_24_4000_steps
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# Whisper_small_ro_VladS_02_14_24_4000_steps
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.2920
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- Wer: 18.6647
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## Model description
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The following hyperparameters were used during training:
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- learning_rate: 1e-05
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- train_batch_size: 32
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- eval_batch_size: 16
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- seed: 42
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- distributed_type: multi-GPU
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- num_devices: 3
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- total_train_batch_size: 96
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- total_eval_batch_size: 48
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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 | Wer |
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|:-------------:|:-----:|:----:|:---------------:|:-------:|
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| 0.1437 | 3.91 | 500 | 0.2167 | 20.5100 |
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| 0.0268 | 7.81 | 1000 | 0.2202 | 18.6557 |
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| 0.008 | 11.72 | 1500 | 0.2478 | 18.6829 |
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| 0.0037 | 15.62 | 2000 | 0.2644 | 18.6708 |
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| 0.0024 | 19.53 | 2500 | 0.2761 | 18.6405 |
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| 0.0018 | 23.44 | 3000 | 0.2844 | 18.6859 |
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| 0.0016 | 27.34 | 3500 | 0.2900 | 18.6799 |
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| 0.0014 | 31.25 | 4000 | 0.2920 | 18.6647 |
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### Framework versions
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generation_config.json
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"transcribe": 50359,
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"translate": 50358
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},
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"transformers_version": "4.37.2"
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}
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"transcribe": 50359,
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"translate": 50358
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},
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"transformers_version": "4.37.2",
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"use_cache": false
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}
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model.safetensors
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runs/Feb14_19-40-58_ubuntu-llama/events.out.tfevents.1707932471.ubuntu-llama.201611.0
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