Upload README.md with huggingface_hub

README.md

@@ -1,5 +1,5 @@
 ---
-library_name: peft
+library_name: transformers
 language:
 - en
 license: apache-2.0
@@ -26,7 +26,7 @@ model-index:
       type: hf-internal-testing/librispeech_asr_dummy
     metrics:
     - type: wer
-      value: 65.4320987654321
+      value: 59.01234567901235
       name: Wer
 ---
 
@@ -37,9 +37,9 @@ 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:
-- Loss: 1.0315
-- Wer: 65.4321
-- Cer: 30.1947
+- Loss: 1.0778
+- Wer: 59.0123
+- Cer: 23.9022
 
 ## Model description
 
@@ -70,11 +70,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Wer     | Cer     |
 |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
-| 1.8721        | 1.0   | 8    | 1.5609          | 74.0741 | 31.3264 |
-| 0.8099        | 2.0   | 16   | 1.2784          | 69.6296 | 31.1453 |
-| 0.3841        | 3.0   | 24   | 1.1096          | 75.3086 | 36.5776 |
-| 0.1898        | 4.0   | 32   | 1.0460          | 68.6420 | 32.5939 |
-| 0.1511        | 5.0   | 40   | 1.0315          | 65.4321 | 30.1947 |
+| 1.8837        | 1.0   | 8    | 1.5660          | 67.6543 | 28.1575 |
+| 0.8916        | 2.0   | 16   | 1.3180          | 58.0247 | 23.3590 |
+| 0.3949        | 3.0   | 24   | 1.1546          | 60.7407 | 25.2603 |
+| 0.2231        | 4.0   | 32   | 1.0957          | 59.7531 | 24.7623 |
+| 0.17          | 5.0   | 40   | 1.0778          | 59.0123 | 23.9022 |
 
 
 ### Framework versions