End of training

README.md

@@ -1,27 +1,26 @@
 ---
+language:
+- hi
 license: apache-2.0
 base_model: openai/whisper-tiny
 tags:
 - generated_from_trainer
+metrics:
+- wer
 model-index:
-- name: whisper-tiny-hi
+- name: Whisper-Hin_SpeechTINYEngText
   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-tiny-hi
+# Whisper-Hin_SpeechTINYEngText
 
 This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the None dataset.
 It achieves the following results on the evaluation set:
-- eval_loss: 0.0004
-- eval_wer: 93.3333
-- eval_runtime: 4.6316
-- eval_samples_per_second: 1.08
-- eval_steps_per_second: 0.216
-- epoch: 333.33
-- step: 1000
+- Loss: 0.0001
+- Wer: 133.7778
 
 ## Model description
 
@@ -50,6 +49,16 @@ The following hyperparameters were used during training:
 - training_steps: 4000
 - mixed_precision_training: Native AMP
 
+### Training results
+
+| Training Loss | Epoch   | Step | Validation Loss | Wer      |
+|:-------------:|:-------:|:----:|:---------------:|:--------:|
+| 0.0004        | 333.33  | 1000 | 0.0004          | 136.4444 |
+| 0.0002        | 666.67  | 2000 | 0.0002          | 160.0    |
+| 0.0001        | 1000.0  | 3000 | 0.0001          | 109.3333 |
+| 0.0001        | 1333.33 | 4000 | 0.0001          | 133.7778 |
+
+
 ### Framework versions
 
 - Transformers 4.38.0.dev0

model.safetensors

@@ -1,3 +1,3 @@
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