Model save

README.md

@@ -1,33 +1,13 @@
 ---
-language:
-- hi
 license: apache-2.0
 base_model: facebook/wav2vec2-large-xlsr-53
 tags:
-- automatic-speech-recognition
-- mozilla-foundation/common_voice_15_0
-- mms
 - generated_from_trainer
 datasets:
 - common_voice_15_0
-metrics:
-- wer
 model-index:
 - name: Output
-  results:
-  - task:
-      name: Automatic Speech Recognition
-      type: automatic-speech-recognition
-    dataset:
-      name: MOZILLA-FOUNDATION/COMMON_VOICE_15_0 - HI
-      type: common_voice_15_0
-      config: hi
-      split: validation
-      args: 'Config: hi, Training split: train, Eval split: validation'
-    metrics:
-    - name: Wer
-      type: wer
-      value: 1.0123092072870508
+  results: []
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -35,10 +15,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 # Output
 
-This model is a fine-tuned version of [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on the MOZILLA-FOUNDATION/COMMON_VOICE_15_0 - HI dataset.
-It achieves the following results on the evaluation set:
-- Loss: 20.1356
-- Wer: 1.0123
+This model is a fine-tuned version of [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on the common_voice_15_0 dataset.
 
 ## Model description
 
@@ -73,12 +50,12 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch  | Step | Validation Loss | Wer    |
 |:-------------:|:------:|:----:|:---------------:|:------:|
-| No log        | 0.6897 | 100  | 21.8808         | 1.0002 |
+| No log        | 0.6897 | 100  | 21.9162         | 1.0003 |
 
 
 ### Framework versions
 
 - Transformers 4.42.0.dev0
-- Pytorch 2.3.0+cpu
+- Pytorch 2.3.0
 - Datasets 2.19.1
 - Tokenizers 0.19.1