End of training

README.md

@@ -1,26 +1,27 @@
 ---
 language:
-- vi
+- hi
 license: apache-2.0
 library_name: peft
 tags:
+- hf-asr-leaderboard
 - generated_from_trainer
 datasets:
 - mozilla-foundation/common_voice_11_0
 base_model: openai/whisper-large-v2
 model-index:
-- name: whisper_peft_vi_nam
+- name: whisper_vietnam_nam
   results: []
 ---
 
 <!-- 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_peft_vi_nam
+# whisper_vietnam_nam
 
 This model is a fine-tuned version of [openai/whisper-large-v2](https://huggingface.co/openai/whisper-large-v2) on the mozilla-foundation/common_voice_11_0 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.3742
+- Loss: 0.3897
 
 ## Model description
 
@@ -53,15 +54,15 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| 0.2421        | 1.0   | 347  | 0.3832          |
-| 0.1286        | 2.0   | 694  | 0.3578          |
-| 0.0634        | 3.0   | 1041 | 0.3742          |
+| 0.2417        | 1.0   | 347  | 0.4081          |
+| 0.1389        | 2.0   | 694  | 0.3732          |
+| 0.0611        | 3.0   | 1041 | 0.3897          |
 
 
 ### Framework versions
 
 - PEFT 0.8.2
-- Transformers 4.38.0.dev0
+- Transformers 4.39.0.dev0
 - Pytorch 2.1.0+cu121
-- Datasets 2.17.0
+- Datasets 2.17.1
 - Tokenizers 0.15.2

adapter_config.json

@@ -22,8 +22,8 @@
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   "use_rslora": false

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runs/Feb23_01-52-31_d8344b345755/events.out.tfevents.1708653161.d8344b345755.156.0

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training_args.bin

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