End of training

README.md

@@ -1,7 +1,7 @@
 ---
 library_name: transformers
 language:
-- dk
+- da
 license: apache-2.0
 base_model: openai/whisper-large
 tags:
@@ -12,7 +12,7 @@ datasets:
 metrics:
 - wer
 model-index:
-- name: Whisper Large FTSpeech - Your Name
+- name: Whisper small FTSpeech - Julie
   results:
   - task:
       name: Automatic Speech Recognition
@@ -24,18 +24,18 @@ model-index:
     metrics:
     - name: Wer
       type: wer
-      value: 24.476331512025737
+      value: 19.463820660777202
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 should probably proofread and complete it, then remove this comment. -->
 
-# Whisper Large FTSpeech - Your Name
+# Whisper small FTSpeech - Julie
 
 This model is a fine-tuned version of [openai/whisper-large](https://huggingface.co/openai/whisper-large) on the ftspeech dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.3820
-- Wer: 24.4763
+- Loss: 0.2781
+- Wer: 19.4638
 
 ## Model description
 
@@ -63,18 +63,23 @@ The following hyperparameters were used during training:
 - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_steps: 200
-- training_steps: 1000
+- training_steps: 5000
 - mixed_precision_training: Native AMP
 
 ### Training results
 
 | Training Loss | Epoch  | Step | Validation Loss | Wer     |
 |:-------------:|:------:|:----:|:---------------:|:-------:|
-| 0.5793        | 0.0032 | 200  | 0.5536          | 30.4519 |
-| 0.4187        | 0.0064 | 400  | 0.4508          | 27.5208 |
-| 0.3587        | 0.0096 | 600  | 0.4125          | 25.5569 |
-| 0.3477        | 0.0129 | 800  | 0.3907          | 24.9318 |
-| 0.3786        | 0.0161 | 1000 | 0.3820          | 24.4763 |
+| 0.4214        | 0.0080 | 500  | 0.4317          | 26.8590 |
+| 0.3568        | 0.0161 | 1000 | 0.3763          | 24.5151 |
+| 0.3443        | 0.0241 | 1500 | 0.3443          | 23.0618 |
+| 0.3218        | 0.0321 | 2000 | 0.3275          | 22.0048 |
+| 0.2851        | 0.0402 | 2500 | 0.3139          | 21.2409 |
+| 0.2638        | 0.0482 | 3000 | 0.3021          | 20.4187 |
+| 0.2515        | 0.0562 | 3500 | 0.2943          | 20.2420 |
+| 0.2692        | 0.0643 | 4000 | 0.2864          | 19.9020 |
+| 0.2503        | 0.0723 | 4500 | 0.2806          | 19.6671 |
+| 0.2396        | 0.0803 | 5000 | 0.2781          | 19.4638 |
 
 
 ### Framework versions

runs/Dec10_18-27-43_desktop2.hpc.itu.dk/events.out.tfevents.1733851675.desktop2.hpc.itu.dk.209075.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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-size 30174
+oid sha256:10bea5a93d8b02cd655f6b81bf2b7c36e31a8085aac8ba06c56424c8fc960c34
+size 30528