End of training

README.md

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+---
+language:
+- hi
+license: apache-2.0
+base_model: openai/whisper-small
+tags:
+- hf-asr-leaderboard
+- generated_from_trainer
+datasets:
+- mozilla-foundation/common_voice_11_0
+metrics:
+- wer
+model-index:
+- name: Whisper Small Hi gpu
+  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: test
+      args: 'config: hi, split: test'
+    metrics:
+    - name: Wer
+      type: wer
+      value: 194.9420130364852
+---
+
+<!-- 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 gpu
+
+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: 2.8500
+- Wer: 194.9420
+
+## 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: 32
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 500
+- training_steps: 4000
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Wer      |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 8.6847        | 2.44  | 500  | 8.6186          | 184.5213 |
+| 7.0074        | 4.88  | 1000 | 6.9394          | 502.2010 |
+| 5.0316        | 7.32  | 1500 | 4.9749          | 693.9939 |
+| 3.7844        | 9.76  | 2000 | 3.7445          | 447.2488 |
+| 3.2504        | 12.2  | 2500 | 3.2245          | 326.1619 |
+| 3.0134        | 14.63 | 3000 | 2.9979          | 217.9463 |
+| 2.8995        | 17.07 | 3500 | 2.8893          | 213.6164 |
+| 2.8678        | 19.51 | 4000 | 2.8500          | 194.9420 |
+
+
+### Framework versions
+
+- Transformers 4.33.1
+- Pytorch 2.0.1+rocm5.4.2
+- Datasets 2.14.5
+- Tokenizers 0.12.1

generation_config.json

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+{
+  "begin_suppress_tokens": [
+    220,
+    50256
+  ],
+  "bos_token_id": 50256,
+  "decoder_start_token_id": 50257,
+  "eos_token_id": 50256,
+  "pad_token_id": 50256,
+  "return_timestamps": false,
+  "transformers_version": "4.33.1"
+}

pytorch_model.bin

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