End of training

README.md

@@ -6,8 +6,6 @@ base_model: openai/whisper-base.en
 tags:
 - hf-asr-leaderboard
 - generated_from_trainer
-metrics:
-- wer
 model-index:
 - name: Whisper Base EN
   results: []
@@ -19,9 +17,6 @@ should probably proofread and complete it, then remove this comment. -->
 # Whisper Base EN
 
 This model is a fine-tuned version of [openai/whisper-base.en](https://huggingface.co/openai/whisper-base.en) on the ADLINK dataset.
-It achieves the following results on the evaluation set:
-- Loss: 0.0003
-- Wer: 1.2422
 
 ## Model description
 
@@ -49,22 +44,6 @@ The following hyperparameters were used during training:
 - lr_scheduler_warmup_steps: 500
 - training_steps: 1000
 
-### Training results
-
-| Training Loss | Epoch  | Step | Validation Loss | Wer    |
-|:-------------:|:------:|:----:|:---------------:|:------:|
-| 1.4205        | 33.33  | 100  | 1.0960          | 9.9379 |
-| 0.4057        | 66.67  | 200  | 0.3715          | 1.5528 |
-| 0.0908        | 100.0  | 300  | 0.0704          | 1.5528 |
-| 0.0053        | 133.33 | 400  | 0.0037          | 1.5528 |
-| 0.0011        | 166.67 | 500  | 0.0010          | 1.2422 |
-| 0.0006        | 200.0  | 600  | 0.0006          | 1.2422 |
-| 0.0004        | 233.33 | 700  | 0.0004          | 1.2422 |
-| 0.0003        | 266.67 | 800  | 0.0003          | 1.2422 |
-| 0.0003        | 300.0  | 900  | 0.0003          | 1.2422 |
-| 0.0003        | 333.33 | 1000 | 0.0003          | 1.2422 |
-
-
 ### Framework versions
 
 - Transformers 4.38.0.dev0

model.safetensors

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training_args.bin

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