Reading metadata...: 1926it [00:00, 3807.73it/s]
Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
Reading metadata...: 660it [00:00, 1316.56it/s]
wandb: WARNING The `run_name` is currently set to the same value as `TrainingArguments.output_dir`. If this was not intended, please specify a different run name by setting the `TrainingArguments.run_name` parameter.
wandb: Currently logged in as: evelyngyim1111 (evelyngyim1111-inlaks). Use `wandb login --relogin` to force relogin

Reading metadata...: 1926it [00:00, 2775.14it/s]

Reading metadata...: 660it [00:00, 934.74it/s]
You have passed task=transcribe, but also have set `forced_decoder_ids` to [[1, None], [2, 50359]] which creates a conflict. `forced_decoder_ids` will be ignored in favor of task=transcribe.
The attention mask is not set and cannot be inferred from input because pad token is same as eos token.As a consequence, you may observe unexpected behavior. Please pass your input's `attention_mask` to obtain reliable results.

Reading metadata...: 1926it [00:00, 3807.73it/s] Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained. Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained. Reading metadata...: 660it [00:00, 1316.56it/s] wandb: WARNING The `run_name` is currently set to the same value as `TrainingArguments.output_dir`. If this was not intended, please specify a different run name by setting the `TrainingArguments.run_name` parameter. wandb: Currently logged in as: evelyngyim1111 (evelyngyim1111-inlaks). Use `wandb login --relogin` to force relogin wandb version 0.19.7 is available! To upgrade, please run: $ pip install wandb --upgrade Tracking run with wandb version 0.17.4 Run data is saved locally in /content/wandb/run-20250226_110645-bb86w4fx Syncing run [../openai/whisper-small-finetuned](https://wandb.ai/evelyngyim1111-inlaks/huggingface/runs/bb86w4fx) to [Weights & Biases](https://wandb.ai/evelyngyim1111-inlaks/huggingface) ([docs](https://wandb.me/run)) View project at https://wandb.ai/evelyngyim1111-inlaks/huggingface View run at https://wandb.ai/evelyngyim1111-inlaks/huggingface/runs/bb86w4fx Reading metadata...: 1926it [00:00, 2775.14it/s] [101/500 03:57 < 15:56, 0.42 it/s, Epoch 0.20/9223372036854775807] Step Training Loss Validation Loss Reading metadata...: 660it [00:00, 934.74it/s] You have passed task=transcribe, but also have set `forced_decoder_ids` to [[1, None], [2, 50359]] which creates a conflict. `forced_decoder_ids` will be ignored in favor of task=transcribe. The attention mask is not set and cannot be inferred from input because pad token is same as eos token.As a consequence, you may observe unexpected behavior. Please pass your input's `attention_mask` to obtain reliable results. --------------------------------------------------------------------------- FileNotFoundError Traceback (most recent call last) [](https://localhost:8080/#) in () ----> 1 trainer.train( 2 output_dir="Gyimah3/whisper-small-finetuned", 3 warmup_steps=10, 4 max_steps=500, 5 learning_rate=0.0001,

13 frames
/usr/local/lib/python3.11/dist-packages/evaluate/loading.py in evaluation_module_factory(path, module_type, revision, download_config, download_mode, force_local_path, dynamic_modules_path, **download_kwargs)
679 if not isinstance(e1, (ConnectionError, FileNotFoundError)):
680 raise e1 from None
--> 681 raise FileNotFoundError(
682 f"Couldn't find a module script at {relative_to_absolute_path(combined_path)}. "
683 f"Module '{path}' doesn't exist on the Hugging Face Hub either."

FileNotFoundError: Couldn't find a module script at /content/wer/wer.py. Module 'wer' doesn't exist on the Hugging Face Hub either.