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  1. whisper/whisper_base_finetuned/README.md +89 -0
  2. whisper/whisper_base_finetuned/checkpoint-1946/config.json +52 -0
  3. whisper/whisper_base_finetuned/checkpoint-1946/generation_config.json +256 -0
  4. whisper/whisper_base_finetuned/checkpoint-1946/model.safetensors +3 -0
  5. whisper/whisper_base_finetuned/checkpoint-1946/optimizer.pt +3 -0
  6. whisper/whisper_base_finetuned/checkpoint-1946/preprocessor_config.json +14 -0
  7. whisper/whisper_base_finetuned/checkpoint-1946/rng_state_0.pth +3 -0
  8. whisper/whisper_base_finetuned/checkpoint-1946/rng_state_1.pth +3 -0
  9. whisper/whisper_base_finetuned/checkpoint-1946/rng_state_2.pth +3 -0
  10. whisper/whisper_base_finetuned/checkpoint-1946/rng_state_3.pth +3 -0
  11. whisper/whisper_base_finetuned/checkpoint-1946/scheduler.pt +3 -0
  12. whisper/whisper_base_finetuned/checkpoint-1946/trainer_state.json +1409 -0
  13. whisper/whisper_base_finetuned/checkpoint-1946/training_args.bin +3 -0
  14. whisper/whisper_base_finetuned/checkpoint-9730/config.json +52 -0
  15. whisper/whisper_base_finetuned/checkpoint-9730/generation_config.json +256 -0
  16. whisper/whisper_base_finetuned/checkpoint-9730/model.safetensors +3 -0
  17. whisper/whisper_base_finetuned/checkpoint-9730/optimizer.pt +3 -0
  18. whisper/whisper_base_finetuned/checkpoint-9730/preprocessor_config.json +14 -0
  19. whisper/whisper_base_finetuned/checkpoint-9730/rng_state_0.pth +3 -0
  20. whisper/whisper_base_finetuned/checkpoint-9730/rng_state_1.pth +3 -0
  21. whisper/whisper_base_finetuned/checkpoint-9730/rng_state_2.pth +3 -0
  22. whisper/whisper_base_finetuned/checkpoint-9730/rng_state_3.pth +3 -0
  23. whisper/whisper_base_finetuned/checkpoint-9730/scheduler.pt +3 -0
  24. whisper/whisper_base_finetuned/checkpoint-9730/trainer_state.json +0 -0
  25. whisper/whisper_base_finetuned/checkpoint-9730/training_args.bin +3 -0
  26. whisper/whisper_base_finetuned/config.json +52 -0
  27. whisper/whisper_base_finetuned/generation_config.json +256 -0
  28. whisper/whisper_base_finetuned/model.safetensors +3 -0
  29. whisper/whisper_base_finetuned/preprocessor_config.json +14 -0
  30. whisper/whisper_base_finetuned/training_args.bin +3 -0
  31. zipformer/finetuned/ctc/causal/exp_finetune/best-train-loss.pt +3 -0
  32. zipformer/finetuned/ctc/causal/exp_finetune/best-valid-loss.pt +3 -0
  33. zipformer/finetuned/ctc/causal/exp_finetune/epoch-1.pt +3 -0
  34. zipformer/finetuned/ctc/causal/exp_finetune/epoch-10.pt +3 -0
  35. zipformer/finetuned/ctc/causal/exp_finetune/epoch-11.pt +3 -0
  36. zipformer/finetuned/ctc/causal/exp_finetune/epoch-12.pt +3 -0
  37. zipformer/finetuned/ctc/causal/exp_finetune/epoch-13.pt +3 -0
  38. zipformer/finetuned/ctc/causal/exp_finetune/epoch-14.pt +3 -0
  39. zipformer/finetuned/ctc/causal/exp_finetune/epoch-15.pt +3 -0
  40. zipformer/finetuned/ctc/causal/exp_finetune/epoch-16.pt +3 -0
  41. zipformer/finetuned/ctc/causal/exp_finetune/epoch-17.pt +3 -0
  42. zipformer/finetuned/ctc/causal/exp_finetune/epoch-18.pt +3 -0
  43. zipformer/finetuned/ctc/causal/exp_finetune/epoch-19.pt +3 -0
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  45. zipformer/finetuned/ctc/causal/exp_finetune/epoch-20.pt +3 -0
  46. zipformer/finetuned/ctc/causal/exp_finetune/epoch-3.pt +3 -0
  47. zipformer/finetuned/ctc/causal/exp_finetune/epoch-4.pt +3 -0
  48. zipformer/finetuned/ctc/causal/exp_finetune/epoch-5.pt +3 -0
  49. zipformer/finetuned/ctc/causal/exp_finetune/epoch-6.pt +3 -0
  50. zipformer/finetuned/ctc/causal/exp_finetune/epoch-7.pt +3 -0
whisper/whisper_base_finetuned/README.md ADDED
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1
+ ---
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+ tags:
3
+ - generated_from_trainer
4
+ datasets:
5
+ - audiofolder
6
+ metrics:
7
+ - wer
8
+ model-index:
9
+ - name: whisper_base_finetuned
10
+ results:
11
+ - task:
12
+ name: Automatic Speech Recognition
13
+ type: automatic-speech-recognition
14
+ dataset:
15
+ name: audiofolder
16
+ type: audiofolder
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+ config: default
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+ split: validation
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+ args: default
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+ metrics:
21
+ - name: Wer
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+ type: wer
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+ value: 0.3192600084831479
24
+ ---
25
+
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+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
27
+ should probably proofread and complete it, then remove this comment. -->
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+
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+ [<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/querying/huggingface/runs/1wtpwccg)
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+ # whisper_base_finetuned
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+
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+ This model was trained from scratch on the audiofolder dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.3375
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+ - Wer: 0.3193
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+
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+ ## Model description
38
+
39
+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
46
+
47
+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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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: 16
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+ - eval_batch_size: 8
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+ - seed: 42
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+ - distributed_type: multi-GPU
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+ - num_devices: 4
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+ - total_train_batch_size: 64
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+ - total_eval_batch_size: 32
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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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+ - num_epochs: 10
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+ - mixed_precision_training: Native AMP
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Wer |
71
+ |:-------------:|:-----:|:----:|:---------------:|:------:|
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+ | 0.4111 | 1.0 | 973 | 0.4590 | 0.4551 |
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+ | 0.4068 | 2.0 | 1946 | 0.3847 | 0.4812 |
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+ | 0.3617 | 3.0 | 2919 | 0.3585 | 0.4326 |
75
+ | 0.3144 | 4.0 | 3892 | 0.3436 | 0.3594 |
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+ | 0.272 | 5.0 | 4865 | 0.3425 | 0.3639 |
77
+ | 0.2246 | 6.0 | 5838 | 0.3371 | 0.3341 |
78
+ | 0.1541 | 7.0 | 6811 | 0.3404 | 0.3377 |
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+ | 0.1387 | 8.0 | 7784 | 0.3370 | 0.3196 |
80
+ | 0.1554 | 9.0 | 8757 | 0.3387 | 0.3113 |
81
+ | 0.1692 | 10.0 | 9730 | 0.3375 | 0.3193 |
82
+
83
+
84
+ ### Framework versions
85
+
86
+ - Transformers 4.42.0.dev0
87
+ - Pytorch 2.2.1
88
+ - Datasets 2.19.0
89
+ - Tokenizers 0.19.1
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