Training in progress, step 7000

pytorch_model.bin

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runs/Dec14_11-27-46_129-213-88-66/events.out.tfevents.1671017287.129-213-88-66.335324.0

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train_20221214-112746.log

@@ -226,3 +226,19 @@ xpu_backend=None,
 12/14/2022 11:27:46 - INFO - datasets.info - Loading Dataset Infos from /home/ubuntu/.cache/huggingface/modules/datasets_modules/datasets/mozilla-foundation--common_voice_11_0/f8e47235d9b4e68fa24ed71d63266a02018ccf7194b2a8c9c598a5f3ab304d9f
 12/14/2022 11:27:47 - INFO - datasets.info - Loading Dataset Infos from /home/ubuntu/.cache/huggingface/modules/datasets_modules/datasets/mozilla-foundation--common_voice_11_0/f8e47235d9b4e68fa24ed71d63266a02018ccf7194b2a8c9c598a5f3ab304d9f
 12/14/2022 11:28:05 - WARNING - huggingface_hub.repository - /home/ubuntu/whisper-small-belarusian/./ is already a clone of https://huggingface.co/ales/whisper-small-belarusian. Make sure you pull the latest changes with `repo.git_pull()`.
+12/15/2022 17:58:42 - WARNING - datasets.download.streaming_download_manager - Got disconnected from remote data host. Retrying in 5sec [1/20]
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train_run_1.log

@@ -33483,3 +33483,59 @@ If your task is similar to the task the model of the checkpoint was trained on,
 [INFO|tokenization_utils_base.py:2157] 2022-12-15 15:37:59,977 >> tokenizer config file saved in ./tokenizer_config.json
 [INFO|tokenization_utils_base.py:2164] 2022-12-15 15:37:59,977 >> Special tokens file saved in ./special_tokens_map.json
 [INFO|tokenization_utils_base.py:2210] 2022-12-15 15:37:59,978 >> added tokens file saved in ./added_tokens.json
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+12/15/2022 17:58:42 - WARNING - datasets.download.streaming_download_manager - Got disconnected from remote data host. Retrying in 5sec [1/20]
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 58%|█████▊    | 7000/12000 [31:01:30<14:27:06, 10.41s/it][INFO|trainer.py:2955] 2022-12-15 18:29:37,985 >> ***** Running Evaluation *****
+[INFO|trainer.py:2959] 2022-12-15 18:29:37,986 >>   Num examples: Unknown
+[INFO|trainer.py:2960] 2022-12-15 18:29:37,986 >>   Batch size = 64
+{'loss': 0.0659, 'learning_rate': 4.437391304347826e-05, 'epoch': 1.12}
+{'loss': 0.0795, 'learning_rate': 4.393913043478261e-05, 'epoch': 1.13}
+{'loss': 0.0473, 'learning_rate': 4.350434782608696e-05, 'epoch': 1.13}
+
+
+
+
+[INFO|trainer_utils.py:689] 2022-12-15 18:29:48,149 >> The following columns in the evaluation set don't have a corresponding argument in `WhisperForConditionalGeneration.forward` and have been ignored: labels_length, input_length, labels_truncated. If labels_length, input_length, labels_truncated are not expected by `WhisperForConditionalGeneration.forward`,  you can safely ignore this message.
+
                                                          
 58%|█████▊    | 7000/12000 [32:56:40<14:27:06, 10.41s/it][INFO|trainer.py:2700] 2022-12-15 20:24:48,207 >> Saving model checkpoint to ./checkpoint-7000
+[INFO|configuration_utils.py:447] 2022-12-15 20:24:48,208 >> Configuration saved in ./checkpoint-7000/config.json
+[INFO|modeling_utils.py:1680] 2022-12-15 20:24:49,298 >> Model weights saved in ./checkpoint-7000/pytorch_model.bin
+[INFO|feature_extraction_utils.py:368] 2022-12-15 20:24:49,314 >> Feature extractor saved in ./checkpoint-7000/preprocessor_config.json
+[INFO|tokenization_utils_base.py:2157] 2022-12-15 20:24:49,314 >> tokenizer config file saved in ./checkpoint-7000/tokenizer_config.json
+[INFO|tokenization_utils_base.py:2164] 2022-12-15 20:24:49,314 >> Special tokens file saved in ./checkpoint-7000/special_tokens_map.json
+[INFO|tokenization_utils_base.py:2210] 2022-12-15 20:24:49,314 >> added tokens file saved in ./checkpoint-7000/added_tokens.json
+[INFO|feature_extraction_utils.py:368] 2022-12-15 20:24:53,825 >> Feature extractor saved in ./preprocessor_config.json
+[INFO|tokenization_utils_base.py:2157] 2022-12-15 20:24:53,826 >> tokenizer config file saved in ./tokenizer_config.json
+[INFO|tokenization_utils_base.py:2164] 2022-12-15 20:24:53,827 >> Special tokens file saved in ./special_tokens_map.json
+[INFO|tokenization_utils_base.py:2210] 2022-12-15 20:24:53,827 >> added tokens file saved in ./added_tokens.json