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End of training

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Files changed (3) hide show
  1. README.md +15 -13
  2. generation_config.json +1 -0
  3. model.safetensors +1 -1
README.md CHANGED
@@ -25,7 +25,7 @@ model-index:
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  metrics:
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  - name: Wer
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  type: wer
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- value: 30.810810810810814
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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
@@ -36,7 +36,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the Domain Based voice dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 0.0000
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- - Wer: 30.8108
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  ## Model description
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@@ -55,24 +55,26 @@ More information needed
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  ### Training hyperparameters
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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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  - 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_steps: 4000
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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 |
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- |:-------------:|:--------:|:----:|:---------------:|:-------:|
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- | 0.0 | 142.8571 | 1000 | 0.0000 | 61.2613 |
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- | 0.0 | 285.7143 | 2000 | 0.0000 | 38.1982 |
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- | 0.0 | 428.5714 | 3000 | 0.0000 | 74.2342 |
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- | 0.0 | 571.4286 | 4000 | 0.0000 | 30.8108 |
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  ### Framework versions
 
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  metrics:
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  - name: Wer
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  type: wer
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+ value: 2.608695652173913
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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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  This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the Domain Based voice dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 0.0000
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+ - Wer: 2.6087
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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: 4
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+ - eval_batch_size: 4
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  - seed: 42
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+ - gradient_accumulation_steps: 4
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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: linear
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+ - lr_scheduler_warmup_steps: 100
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+ - training_steps: 2000
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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 |
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+ |:-------------:|:-----:|:----:|:---------------:|:------:|
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+ | 0.0001 | 100.0 | 500 | 0.0001 | 1.7391 |
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+ | 0.0 | 200.0 | 1000 | 0.0001 | 1.7391 |
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+ | 0.0 | 300.0 | 1500 | 0.0000 | 2.6087 |
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+ | 0.0 | 400.0 | 2000 | 0.0000 | 2.6087 |
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  ### Framework versions
generation_config.json CHANGED
@@ -142,6 +142,7 @@
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  "<|yo|>": 50325,
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  "<|zh|>": 50260
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  },
 
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  "max_initial_timestamp_index": 50,
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  "max_length": 448,
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  "no_timestamps_token_id": 50363,
 
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  "<|yo|>": 50325,
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  "<|zh|>": 50260
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  },
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+ "language": "english",
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  "max_initial_timestamp_index": 50,
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  "max_length": 448,
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  "no_timestamps_token_id": 50363,
model.safetensors CHANGED
@@ -1,3 +1,3 @@
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