Model save
Browse files- README.md +5 -25
- config.json +2 -2
- generation_config.json +1 -1
- model-00001-of-00002.safetensors +1 -1
- model-00002-of-00002.safetensors +1 -1
- training_args.bin +1 -1
README.md
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---
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license: apache-2.0
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tags:
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- generated_from_trainer
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base_model: openai/whisper-large-v2
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metrics:
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- wer
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model-index:
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- name: BA_Model_V3
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results: []
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# BA_Model_V3
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This model is a fine-tuned version of [openai/whisper-large-v2](https://huggingface.co/openai/whisper-large-v2) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.4521
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- Wer: 22.8402
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- Cer: 12.5097
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## Model description
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate:
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- train_batch_size: 8
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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: 16
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type:
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- lr_scheduler_warmup_ratio: 0.05
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- num_epochs: 8
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
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|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
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| 0.3437 | 1.0 | 278 | 0.3292 | 23.6377 | 13.0135 |
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| 0.1749 | 2.0 | 556 | 0.3337 | 22.6309 | 12.1392 |
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| 0.0823 | 3.0 | 834 | 0.3635 | 23.1891 | 12.9637 |
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| 0.0397 | 4.0 | 1112 | 0.3959 | 23.1559 | 12.5382 |
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| 0.0202 | 5.0 | 1390 | 0.4146 | 24.8771 | 13.9211 |
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| 0.0097 | 6.0 | 1668 | 0.4196 | 22.1192 | 12.0233 |
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| 0.0038 | 7.0 | 1946 | 0.4424 | 22.2455 | 12.3308 |
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| 0.0018 | 8.0 | 2224 | 0.4521 | 22.8402 | 12.5097 |
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### Framework versions
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- Transformers 4.38.
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- Pytorch 2.2.1+cu121
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- Datasets 2.
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- Tokenizers 0.15.2
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---
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license: apache-2.0
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base_model: openai/whisper-large-v2
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tags:
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- generated_from_trainer
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model-index:
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- name: BA_Model_V3
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results: []
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# BA_Model_V3
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This model is a fine-tuned version of [openai/whisper-large-v2](https://huggingface.co/openai/whisper-large-v2) on an unknown dataset.
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## Model description
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 5e-06
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- train_batch_size: 8
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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: 16
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: cosine
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- lr_scheduler_warmup_ratio: 0.05
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- num_epochs: 8
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- mixed_precision_training: Native AMP
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### Framework versions
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- Transformers 4.38.2
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- Pytorch 2.2.1+cu121
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- Datasets 2.18.0
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- Tokenizers 0.15.2
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config.json
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"scale_embedding": false,
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"suppress_tokens": [],
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"torch_dtype": "float32",
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"transformers_version": "4.38.
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"use_cache":
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"use_weighted_layer_sum": false,
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"vocab_size": 51865
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}
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"scale_embedding": false,
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"suppress_tokens": [],
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"torch_dtype": "float32",
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"transformers_version": "4.38.2",
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"use_cache": false,
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"use_weighted_layer_sum": false,
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"vocab_size": 51865
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}
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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": "4.38.
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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": "4.38.2"
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}
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model-00001-of-00002.safetensors
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model-00002-of-00002.safetensors
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training_args.bin
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