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End of training

Browse files
README.md CHANGED
@@ -3,11 +3,25 @@ license: apache-2.0
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  base_model: openai/whisper-medium
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  tags:
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  - generated_from_trainer
 
 
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  metrics:
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  - wer
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  model-index:
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  - name: whisper-medium-pt-1000h
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- results: []
 
 
 
 
 
 
 
 
 
 
 
 
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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
@@ -15,7 +29,7 @@ should probably proofread and complete it, then remove this comment. -->
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  # whisper-medium-pt-1000h
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- This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 0.6491
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  - Wer: 0.1147
 
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  base_model: openai/whisper-medium
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  tags:
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  - generated_from_trainer
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+ datasets:
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+ - fsicoli/cv17-fleurs-coraa-mls-ted-alcaim-cf-cdc-lapsbm-lapsmail-sydney-lingualibre-voxforge-tatoeba
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  metrics:
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  - wer
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  model-index:
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  - name: whisper-medium-pt-1000h
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+ results:
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+ - task:
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+ name: Automatic Speech Recognition
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+ type: automatic-speech-recognition
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+ dataset:
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+ name: fsicoli/cv17-fleurs-coraa-mls-ted-alcaim-cf-cdc-lapsbm-lapsmail-sydney-lingualibre-voxforge-tatoeba
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+ default
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+ type: fsicoli/cv17-fleurs-coraa-mls-ted-alcaim-cf-cdc-lapsbm-lapsmail-sydney-lingualibre-voxforge-tatoeba
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+ args: default
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+ metrics:
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+ - name: Wer
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+ type: wer
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+ value: 0.11473958668640959
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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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  # whisper-medium-pt-1000h
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+ This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the fsicoli/cv17-fleurs-coraa-mls-ted-alcaim-cf-cdc-lapsbm-lapsmail-sydney-lingualibre-voxforge-tatoeba default dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 0.6491
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  - Wer: 0.1147
all_results.json ADDED
@@ -0,0 +1,14 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ {
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+ "epoch": 2.95,
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+ "eval_loss": 0.6491209864616394,
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+ "eval_runtime": 5937.9446,
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+ "eval_samples": 9467,
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+ "eval_samples_per_second": 1.594,
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+ "eval_steps_per_second": 0.199,
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+ "eval_wer": 0.11473958668640959,
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+ "train_loss": 0.033957572368780775,
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+ "train_runtime": 319106.224,
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+ "train_samples": 813653,
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+ "train_samples_per_second": 7.521,
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+ "train_steps_per_second": 0.94
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+ }
eval_results.json ADDED
@@ -0,0 +1,9 @@
 
 
 
 
 
 
 
 
 
 
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+ {
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+ "epoch": 2.95,
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+ "eval_loss": 0.6491209864616394,
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+ "eval_runtime": 5937.9446,
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+ "eval_samples": 9467,
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+ "eval_samples_per_second": 1.594,
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+ "eval_steps_per_second": 0.199,
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+ "eval_wer": 0.11473958668640959
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+ }
runs/Apr12_10-22-25_DITEC2014063010/events.out.tfevents.1713275829.DITEC2014063010.10728.1 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
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+ version https://git-lfs.github.com/spec/v1
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+ size 412
train_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
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+ {
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+ "epoch": 2.95,
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+ "train_loss": 0.033957572368780775,
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+ "train_runtime": 319106.224,
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+ "train_samples": 813653,
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+ "train_samples_per_second": 7.521,
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+ "train_steps_per_second": 0.94
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+ }
trainer_state.json ADDED
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