End of training

README.md

@@ -13,9 +13,21 @@ tags:
 - generated_from_trainer
 datasets:
 - hf-internal-testing/librispeech_asr_dummy
+metrics:
+- wer
 model-index:
 - name: wft-test-model
-  results: []
+  results:
+  - task:
+      type: automatic-speech-recognition
+      name: Automatic Speech Recognition
+    dataset:
+      name: hf-internal-testing/librispeech_asr_dummy
+      type: hf-internal-testing/librispeech_asr_dummy
+    metrics:
+    - type: wer
+      value: 5.905511811023622
+      name: Wer
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -25,17 +37,12 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the hf-internal-testing/librispeech_asr_dummy dataset.
 It achieves the following results on the evaluation set:
-- eval_loss: 0.1185
-- eval_wer: 5.9055
-- eval_cer: 83.2386
-- eval_decode_time: 0.5299
-- eval_wer_time: 0.0047
-- eval_cer_time: 0.0030
-- eval_runtime: 1.3526
-- eval_samples_per_second: 7.393
-- eval_steps_per_second: 1.479
-- epoch: 5.05
-- step: 100
+- Loss: 0.1185
+- Wer: 5.9055
+- Cer: 83.2386
+- Decode Time: 0.5299
+- Wer Time: 0.0047
+- Cer Time: 0.0030
 
 ## Model description
 
@@ -63,6 +70,22 @@ The following hyperparameters were used during training:
 - lr_scheduler_warmup_steps: 50
 - training_steps: 100
 
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Wer      | Cer      | Decode Time | Wer Time | Cer Time |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|:-----------:|:--------:|:--------:|
+| 2.4079        | 0.1   | 10   | 1.9885          | 312.2047 | 119.2472 | 0.5334      | 0.0169   | 0.0041   |
+| 1.2303        | 1.01  | 20   | 1.1646          | 258.2677 | 100.0    | 0.5213      | 1.4057   | 0.0046   |
+| 0.8667        | 1.11  | 30   | 0.8100          | 37.7953  | 52.3438  | 0.5008      | 0.0396   | 0.0045   |
+| 0.4517        | 2.02  | 40   | 0.6337          | 40.9449  | 73.7926  | 0.5137      | 0.0217   | 0.0030   |
+| 0.4352        | 2.12  | 50   | 0.4493          | 16.5354  | 88.1392  | 0.5203      | 0.0054   | 0.0032   |
+| 0.2341        | 3.03  | 60   | 0.2922          | 8.2677   | 97.5852  | 0.5434      | 0.0060   | 0.0032   |
+| 0.2233        | 3.13  | 70   | 0.2026          | 9.0551   | 83.5227  | 0.5359      | 0.0063   | 0.0033   |
+| 0.1098        | 4.04  | 80   | 0.1665          | 5.9055   | 83.9489  | 0.5316      | 0.0056   | 0.0029   |
+| 0.0678        | 4.14  | 90   | 0.1279          | 7.0866   | 81.1080  | 0.5388      | 0.0079   | 0.0038   |
+| 0.078         | 5.05  | 100  | 0.1185          | 5.9055   | 83.2386  | 0.5299      | 0.0047   | 0.0030   |
+
+
 ### Framework versions
 
 - PEFT 0.13.2

adapter_model.safetensors

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runs/Oct31_02-35-20_JacobdeMacBook-Pro.local/events.out.tfevents.1730313339.JacobdeMacBook-Pro.local.87069.0

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