KasuleTrevor commited on
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End of training

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Files changed (3) hide show
  1. README.md +10 -8
  2. generation_config.json +2 -10
  3. model.safetensors +1 -1
README.md CHANGED
@@ -11,7 +11,7 @@ datasets:
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  metrics:
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  - wer
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  model-index:
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- - name: Whisper Small Hi - Sanchit Gandhi
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  results:
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  - task:
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  name: Automatic Speech Recognition
@@ -23,18 +23,18 @@ model-index:
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  metrics:
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  - name: Wer
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  type: wer
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- value: 35.83130951004202
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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 Hi - Sanchit Gandhi
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  This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the AfriVoice dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.8767
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- - Wer: 35.8313
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  ## Model description
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@@ -62,15 +62,17 @@ The following hyperparameters were used during training:
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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: 20
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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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- | 0.0665 | 8.1633 | 1000 | 0.7047 | 36.8683 |
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- | 0.0023 | 16.3265 | 2000 | 0.8767 | 35.8313 |
 
 
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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
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  results:
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  - task:
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  name: Automatic Speech Recognition
 
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  metrics:
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  - name: Wer
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  type: wer
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+ value: 37.234493658687015
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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
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  This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the AfriVoice dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.0151
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+ - Wer: 37.2345
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  ## Model description
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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: 40
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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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+ | 0.1977 | 8.1301 | 500 | 0.7429 | 41.9683 |
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+ | 0.0059 | 16.2602 | 1000 | 0.9167 | 38.4064 |
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+ | 0.001 | 24.3902 | 1500 | 0.9849 | 37.3501 |
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+ | 0.0007 | 32.5203 | 2000 | 1.0151 | 37.2345 |
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  ### Framework versions
generation_config.json CHANGED
@@ -48,16 +48,6 @@
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  "bos_token_id": 50257,
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  "decoder_start_token_id": 50258,
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  "eos_token_id": 50257,
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- "forced_decoder_ids": [
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- 50359
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- ],
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  "is_multilingual": true,
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  "lang_to_id": {
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  "<|af|>": 50327,
@@ -160,6 +150,7 @@
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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,
@@ -256,6 +247,7 @@
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  "transcribe": 50359,
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  "translate": 50358
 
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  "bos_token_id": 50257,
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  "decoder_start_token_id": 50258,
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  "eos_token_id": 50257,
 
 
 
 
 
 
 
 
 
 
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  "is_multilingual": true,
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  "lang_to_id": {
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  "<|af|>": 50327,
 
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  "<|yo|>": 50325,
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  "<|zh|>": 50260
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  },
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+ "language": "lingala",
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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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  50361,
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  50362
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  ],
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+ "task": "transcribe",
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  "task_to_id": {
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  "transcribe": 50359,
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  "translate": 50358
model.safetensors CHANGED
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