End of training

README.md

@@ -1,16 +1,86 @@
-# Community Events @ 🤗
-
-A central repository for all community events organized by 🤗 HuggingFace. Come one, come all!
-We're constantly finding ways to democratise the use of ML across modalities and languages. This repo contains information about all past, present and upcoming events.
-
-## Hugging Events
-
-| **Event Name**                                                          | **Dates**       | **Status**                                                                                                   |
-|-------------------------------------------------------------------------|-----------------|--------------------------------------------------------------------------------------------------------------|
-| [Open Source AI Game Jam 🎮 (First Edition)](/open-source-ai-game-jam)               | July 7th - 9th, 2023  | Finished |
-| [Whisper Fine Tuning Event](/whisper-fine-tuning-event)               | Dec 5th - 19th, 2022  | Finished |
-| [Computer Vision Study Group](/computer-vision-study-group)             | Ongoing         | Monthly                                                                                                      |
-| [ML for Audio Study Group](https://github.com/Vaibhavs10/ml-with-audio) | Ongoing         | Monthly                                                                                                      |
-| [Gradio Blocks](/gradio-blocks)                                         | May 16th - 31st, 2022 | Finished                                                                                                     |
-| [HugGAN](/huggan)                                                       | Apr 4th - 17th, 2022  | Finished                                                                                                     |
-| [Keras Sprint](keras-sprint)                                            | June, 2022            | Finished                                                                                                     |
+---
+language:
+- hi
+license: apache-2.0
+base_model: openai/whisper-small
+tags:
+- whisper-event
+- generated_from_trainer
+datasets:
+- mozilla-foundation/common_voice_11_0
+metrics:
+- wer
+model-index:
+- name: Whisper Small Hi - Sanchit Gandhi
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: Common Voice 11.0
+      type: mozilla-foundation/common_voice_11_0
+      config: hi
+      split: None
+      args: hi
+    metrics:
+    - name: Wer
+      type: wer
+      value: 18.063821994322865
+---
+
+<!-- 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 Small Hi - Sanchit Gandhi
+
+This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 11.0 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.5714
+- Wer: 18.0638
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 1e-05
+- train_batch_size: 8
+- eval_batch_size: 4
+- seed: 42
+- gradient_accumulation_steps: 8
+- total_train_batch_size: 64
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 500
+- training_steps: 5000
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Wer     |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|
+| 0.0067        | 9.78  | 1000 | 0.4138          | 18.9383 |
+| 0.0008        | 19.56 | 2000 | 0.4948          | 18.4736 |
+| 0.0001        | 29.34 | 3000 | 0.5353          | 18.0730 |
+| 0.0001        | 39.12 | 4000 | 0.5624          | 18.0570 |
+| 0.0           | 48.9  | 5000 | 0.5714          | 18.0638 |
+
+
+### Framework versions
+
+- Transformers 4.40.0.dev0
+- Pytorch 2.2.2+cu121
+- Datasets 2.18.1.dev0
+- Tokenizers 0.15.2

generation_config.json

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+  "is_multilingual": true,
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+}

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