Model save

README.md

@@ -0,0 +1,81 @@
+---
+license: mit
+base_model: distil-whisper/distil-large-v3
+tags:
+- generated_from_trainer
+datasets:
+- common_voice_16_1
+metrics:
+- wer
+model-index:
+- name: distil-whisper/distil-large-v3
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: common_voice_16_1
+      type: common_voice_16_1
+      config: hi
+      split: test
+      args: hi
+    metrics:
+    - name: Wer
+      type: wer
+      value: 0.2660897782585181
+---
+
+<!-- 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. -->
+
+# distil-whisper/distil-large-v3
+
+This model is a fine-tuned version of [distil-whisper/distil-large-v3](https://huggingface.co/distil-whisper/distil-large-v3) on the common_voice_16_1 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3729
+- Wer: 0.2661
+
+## 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: 0.0001
+- train_batch_size: 32
+- eval_batch_size: 32
+- 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: 5000
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Wer    |
+|:-------------:|:-----:|:----:|:---------------:|:------:|
+| 0.1015        | 4.5   | 1000 | 0.3065          | 0.3244 |
+| 0.0167        | 9.01  | 2000 | 0.3443          | 0.2995 |
+| 0.0032        | 13.51 | 3000 | 0.3576          | 0.2778 |
+| 0.0004        | 18.02 | 4000 | 0.3670          | 0.2677 |
+| 0.0003        | 22.52 | 5000 | 0.3729          | 0.2661 |
+
+
+### Framework versions
+
+- Transformers 4.40.0.dev0
+- Pytorch 2.2.1+cu121
+- Datasets 2.18.0
+- Tokenizers 0.15.1

generation_config.json

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+  "eos_token_id": 50257,
+  "forced_decoder_ids": [
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+  "language": "hindi",
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+  "max_length": 448,
+  "no_timestamps_token_id": 50364,
+  "pad_token_id": 50257,
+  "prev_sot_token_id": 50362,
+  "return_timestamps": false,
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+  "transformers_version": "4.40.0.dev0"
+}

wandb/debug-internal.log

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 2024-03-27 18:23:23,073 DEBUG   HandlerThread:1483490 [handler.py:handle_request():146] handle_request: status_report
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+2024-03-27 18:23:29,093 ERROR   gpu       :1483490 [interfaces.py:monitor():144] Failed to sample metric: Not Supported
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+2024-03-27 18:23:32,239 ERROR   gpu       :1483490 [interfaces.py:monitor():144] Failed to sample metric: Not Supported
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+2024-03-27 18:23:35,968 ERROR   gpu       :1483490 [interfaces.py:aggregate():161] Failed to serialize metric: division by zero
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wandb/run-20240327_141033-golaq7b9/files/output.log

@@ -4881,3 +4881,18 @@ Non-default generation parameters: {'max_length': 448, 'begin_suppress_tokens':
 [INFO|trainer.py:2234] 2024-03-27 18:21:55,739 >>
 Training completed. Do not forget to share your model on huggingface.co/models =)
 100%|█████████████████████████████████████████████████████████████████████████████| 5000/5000 [4:11:21<00:00,  3.02s/it]
+[INFO|trainer.py:3972] 2024-03-27 18:21:55,741 >> Waiting for the current checkpoint push to be finished, this might take a couple of minutes.
+[INFO|trainer.py:3206] 2024-03-27 18:23:27,597 >> Saving model checkpoint to ./
+[WARNING|configuration_utils.py:447] 2024-03-27 18:23:27,598 >> Some non-default generation parameters are set in the model config. These should go into a GenerationConfig file (https://huggingface.co/docs/transformers/generation_strategies#save-a-custom-decoding-strategy-with-your-model) instead. This warning will be raised to an exception in v4.41.
+Non-default generation parameters: {'max_length': 448, 'begin_suppress_tokens': [220, 50257]}
+[INFO|configuration_utils.py:471] 2024-03-27 18:23:27,598 >> Configuration saved in ./config.json
+[INFO|configuration_utils.py:697] 2024-03-27 18:23:27,599 >> Configuration saved in ./generation_config.json
+[INFO|modeling_utils.py:2474] 2024-03-27 18:23:35,760 >> Model weights saved in ./model.safetensors
+[INFO|feature_extraction_utils.py:424] 2024-03-27 18:23:35,762 >> Feature extractor saved in ./preprocessor_config.json
+[INFO|trainer.py:3206] 2024-03-27 18:23:35,763 >> Saving model checkpoint to ./
+[WARNING|configuration_utils.py:447] 2024-03-27 18:23:35,763 >> Some non-default generation parameters are set in the model config. These should go into a GenerationConfig file (https://huggingface.co/docs/transformers/generation_strategies#save-a-custom-decoding-strategy-with-your-model) instead. This warning will be raised to an exception in v4.41.
+Non-default generation parameters: {'max_length': 448, 'begin_suppress_tokens': [220, 50257]}
+[INFO|configuration_utils.py:471] 2024-03-27 18:23:35,764 >> Configuration saved in ./config.json
+[INFO|configuration_utils.py:697] 2024-03-27 18:23:35,765 >> Configuration saved in ./generation_config.json
+[INFO|modeling_utils.py:2474] 2024-03-27 18:23:44,011 >> Model weights saved in ./model.safetensors
+[INFO|feature_extraction_utils.py:424] 2024-03-27 18:23:44,013 >> Feature extractor saved in ./preprocessor_config.json

wandb/run-20240327_141033-golaq7b9/logs/debug-internal.log

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 2024-03-27 18:23:23,073 DEBUG   HandlerThread:1483490 [handler.py:handle_request():146] handle_request: status_report
 2024-03-27 18:23:24,059 ERROR   gpu       :1483490 [interfaces.py:monitor():144] Failed to sample metric: Not Supported
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+2024-03-27 18:23:28,642 DEBUG   HandlerThread:1483490 [handler.py:handle_request():146] handle_request: status_report
+2024-03-27 18:23:29,093 ERROR   gpu       :1483490 [interfaces.py:monitor():144] Failed to sample metric: Not Supported
+2024-03-27 18:23:29,103 ERROR   gpu       :1483490 [interfaces.py:monitor():144] Failed to sample metric: Not Supported
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wandb/run-20240327_141033-golaq7b9/run-golaq7b9.wandb

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