End of training

README.md

@@ -13,9 +13,21 @@ tags:
 - generated_from_trainer
 datasets:
 - JacobLinCool/ami-disfluent
+metrics:
+- wer
 model-index:
 - name: whisper-large-v3-verbatim-1
-  results: []
+  results:
+  - task:
+      type: automatic-speech-recognition
+      name: Automatic Speech Recognition
+    dataset:
+      name: JacobLinCool/ami-disfluent
+      type: JacobLinCool/ami-disfluent
+    metrics:
+    - type: wer
+      value: 32.322538548713894
+      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-large-v3](https://huggingface.co/openai/whisper-large-v3) on the JacobLinCool/ami-disfluent dataset.
 It achieves the following results on the evaluation set:
-- eval_loss: 0.1300
-- eval_wer: 32.3225
-- eval_cer: 45.5147
-- eval_decode_runtime: 141.5643
-- eval_wer_runtime: 0.1227
-- eval_cer_runtime: 0.2049
-- eval_runtime: 227.2773
-- eval_samples_per_second: 8.325
-- eval_steps_per_second: 0.264
-- epoch: 3.064
-- step: 1000
+- Loss: 0.1300
+- Wer: 32.3225
+- Cer: 45.5147
+- Decode Runtime: 141.5643
+- Wer Runtime: 0.1227
+- Cer Runtime: 0.2049
 
 ## Model description
 
@@ -65,6 +72,23 @@ The following hyperparameters were used during training:
 - lr_scheduler_warmup_steps: 100
 - training_steps: 1000
 
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Wer     | Cer      | Decode Runtime | Wer Runtime | Cer Runtime |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:--------:|:--------------:|:-----------:|:-----------:|
+| No log        | 0     | 0    | 1.8283          | 63.2783 | 251.8035 | 164.5307       | 0.1838      | 0.3386      |
+| 0.2617        | 0.1   | 100  | 0.2189          | 49.6995 | 178.3721 | 161.1098       | 0.1397      | 0.4071      |
+| 0.1291        | 0.2   | 200  | 0.1452          | 50.3383 | 95.5275  | 143.0863       | 0.1342      | 0.2932      |
+| 0.1418        | 0.3   | 300  | 0.1387          | 29.9186 | 74.6491  | 150.1053       | 0.0780      | 0.1514      |
+| 0.1273        | 1.088 | 400  | 0.1372          | 30.8218 | 91.1134  | 166.0178       | 0.1252      | 0.2728      |
+| 0.1139        | 1.188 | 500  | 0.1335          | 29.9117 | 101.9003 | 144.2796       | 0.1318      | 0.2934      |
+| 0.1663        | 1.288 | 600  | 0.1306          | 31.8418 | 83.0183  | 149.9060       | 0.0826      | 0.1679      |
+| 0.1275        | 2.076 | 700  | 0.1311          | 24.9665 | 29.6191  | 143.2151       | 0.0781      | 0.1135      |
+| 0.1077        | 2.176 | 800  | 0.1304          | 25.9109 | 36.6217  | 143.4620       | 0.0770      | 0.1227      |
+| 0.1711        | 2.276 | 900  | 0.1298          | 35.1729 | 45.0300  | 145.3294       | 0.0786      | 0.1310      |
+| 0.0994        | 3.064 | 1000 | 0.1300          | 32.3225 | 45.5147  | 141.5643       | 0.1227      | 0.2049      |
+
+
 ### Framework versions
 
 - PEFT 0.14.0

adapter_model.safetensors

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runs/Jan16_20-41-06_5d04024295f3/events.out.tfevents.1737060251.5d04024295f3.3416.0

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