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End of training

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Files changed (5) hide show
  1. README.md +6 -6
  2. config.json +1 -1
  3. generation_config.json +2 -1
  4. model.safetensors +1 -1
  5. training_args.bin +2 -2
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: 65.68187589943282
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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
@@ -35,8 +35,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the Common Voice 11.0 dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.5952
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- - Wer: 65.6819
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  ## Model description
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@@ -62,19 +62,19 @@ The following hyperparameters were used during training:
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  - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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  - lr_scheduler_type: linear
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  - lr_scheduler_warmup_steps: 10
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- - training_steps: 1000
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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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- | 0.4581 | 0.6116 | 1000 | 0.5952 | 65.6819 |
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  ### Framework versions
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- - Transformers 4.52.4
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  - Pytorch 2.6.0+cu124
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  - Datasets 3.6.0
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  - Tokenizers 0.21.1
 
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  metrics:
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  - name: Wer
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  type: wer
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+ value: 60.3403030559553
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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-tiny](https://huggingface.co/openai/whisper-tiny) on the Common Voice 11.0 dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.5276
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+ - Wer: 60.3403
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  ## Model description
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  - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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  - lr_scheduler_type: linear
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  - lr_scheduler_warmup_steps: 10
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+ - training_steps: 2500
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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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+ | 0.2838 | 1.5291 | 2500 | 0.5276 | 60.3403 |
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  ### Framework versions
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+ - Transformers 4.53.0
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  - Pytorch 2.6.0+cu124
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  - Datasets 3.6.0
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  - Tokenizers 0.21.1
config.json CHANGED
@@ -53,7 +53,7 @@
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  "pad_token_id": 50257,
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  "scale_embedding": false,
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  "torch_dtype": "float32",
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- "transformers_version": "4.52.4",
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  "use_cache": true,
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  "use_weighted_layer_sum": false,
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  "vocab_size": 51865
 
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  "pad_token_id": 50257,
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  "scale_embedding": false,
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  "torch_dtype": "float32",
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+ "transformers_version": "4.53.0",
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  "use_cache": true,
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  "use_weighted_layer_sum": false,
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  "vocab_size": 51865
generation_config.json CHANGED
@@ -32,6 +32,7 @@
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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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  "transcribe": 50359,
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  "translate": 50358
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  },
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- "transformers_version": "4.52.4"
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  }
 
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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": null,
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  "is_multilingual": true,
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  "lang_to_id": {
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  "<|af|>": 50327,
 
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  "transcribe": 50359,
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  "translate": 50358
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  },
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+ "transformers_version": "4.53.0"
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  }
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