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flax-wav2vec2-2-bart-large-ls-960h-feature-encoder

Automatic Speech Recognition
Transformers
speech-encoder-decoder
Inference Endpoints
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  1. wandb/debug-internal.log +0 -1
  2. wandb/debug.log +0 -1
  3. wandb/latest-run +0 -1
  4. wandb/run-20220530_120145-2k01y1ky/files/config.yaml +0 -38
  5. wandb/run-20220530_120145-2k01y1ky/files/output.log +0 -560
  6. wandb/run-20220530_120145-2k01y1ky/files/requirements.txt +0 -159
  7. wandb/run-20220530_120145-2k01y1ky/files/wandb-metadata.json +0 -62
  8. wandb/run-20220530_120145-2k01y1ky/files/wandb-summary.json +0 -1
  9. wandb/run-20220530_120145-2k01y1ky/logs/debug-internal.log +0 -369
  10. wandb/run-20220530_120145-2k01y1ky/logs/debug.log +0 -139
  11. wandb/run-20220530_120145-2k01y1ky/run-2k01y1ky.wandb +0 -0
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wandb/run-20220530_120145-2k01y1ky/files/output.log DELETED
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- 05/30/2022 12:01:47 - INFO - __main__ - Training/evaluation parameters FlaxSeq2SeqTrainingArguments(
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- _n_gpu=-1,
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- adafactor=False,
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- adam_beta1=0.9,
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- adam_beta2=0.999,
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- evaluation_strategy=no,
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- fp16=False,
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- fp16_backend=auto,
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- fp16_full_eval=False,
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- generation_length_penalty=1.2,
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- generation_max_length=40,
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- local_rank=-1,
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- max_grad_norm=1.0,
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- max_steps=50000,
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- metric_for_best_model=None,
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- mp_parameters=,
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- optim=adamw_hf,
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- run_name=None,
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- save_on_each_node=False,
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- save_steps=10000,
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- save_strategy=steps,
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- save_total_limit=1,
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- seed=42,
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- sharded_ddp=,
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- skip_memory_metrics=True,
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- sortish_sampler=False,
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- tf32=None,
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- tpu_metrics_debug=False,
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- tpu_num_cores=None,
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- use_legacy_prediction_loop=False,
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- warmup_ratio=0.0,
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- warmup_steps=500,
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- weight_decay=0.0,
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- xpu_backend=None,
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- )
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- 05/30/2022 12:01:47 - INFO - __main__ - JAX devices: 8, matmul precision: default
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- 05/30/2022 12:01:47 - WARNING - datasets.builder - Reusing dataset librispeech_asr (/home/sanchitgandhi/cache/huggingface/datasets/librispeech_asr/all/2.1.0/14c8bffddb861b4b3a4fcdff648a56980dbb808f3fc56f5a3d56b18ee88458eb)
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- 05/30/2022 12:01:49 - WARNING - datasets.builder - Reusing dataset librispeech_asr (/home/sanchitgandhi/cache/huggingface/datasets/librispeech_asr/all/2.1.0/14c8bffddb861b4b3a4fcdff648a56980dbb808f3fc56f5a3d56b18ee88458eb)
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- 05/30/2022 12:01:50 - WARNING - datasets.builder - Reusing dataset librispeech_asr (/home/sanchitgandhi/cache/huggingface/datasets/librispeech_asr/all/2.1.0/14c8bffddb861b4b3a4fcdff648a56980dbb808f3fc56f5a3d56b18ee88458eb)
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- 05/30/2022 12:01:50 - WARNING - datasets.builder - Reusing dataset librispeech_asr (/home/sanchitgandhi/cache/huggingface/datasets/librispeech_asr/all/2.1.0/14c8bffddb861b4b3a4fcdff648a56980dbb808f3fc56f5a3d56b18ee88458eb)
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- 05/30/2022 12:01:51 - WARNING - datasets.builder - Reusing dataset librispeech_asr (/home/sanchitgandhi/cache/huggingface/datasets/librispeech_asr/all/2.1.0/14c8bffddb861b4b3a4fcdff648a56980dbb808f3fc56f5a3d56b18ee88458eb)
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- https://huggingface.co/sanchit-gandhi/flax-wav2vec2-2-bart-large-scan/resolve/main/config.json not found in cache or force_download set to True, downloading to /home/sanchitgandhi/.cache/huggingface/transformers/tmp2_f644vh
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- Downloading: 100% 6.84k/6.84k [00:00<00:00, 10.2MB/s]
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- storing https://huggingface.co/sanchit-gandhi/flax-wav2vec2-2-bart-large-scan/resolve/main/config.json in cache at /home/sanchitgandhi/.cache/huggingface/transformers/e6d3af8a2b6624d8adf8fc289717c121400164223b3e51d49b639aa34d1d3048.c9a58c9120361b7b034a0136cc74d5dce009e745c4cc111c255d5f3d0a9e2fd9
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- creating metadata file for /home/sanchitgandhi/.cache/huggingface/transformers/e6d3af8a2b6624d8adf8fc289717c121400164223b3e51d49b639aa34d1d3048.c9a58c9120361b7b034a0136cc74d5dce009e745c4cc111c255d5f3d0a9e2fd9
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- loading configuration file https://huggingface.co/sanchit-gandhi/flax-wav2vec2-2-bart-large-scan/resolve/main/config.json from cache at /home/sanchitgandhi/.cache/huggingface/transformers/e6d3af8a2b6624d8adf8fc289717c121400164223b3e51d49b639aa34d1d3048.c9a58c9120361b7b034a0136cc74d5dce009e745c4cc111c255d5f3d0a9e2fd9
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- /home/sanchitgandhi/transformers/src/transformers/configuration_utils.py:358: UserWarning: Passing `gradient_checkpointing` to a config initialization is deprecated and will be removed in v5 Transformers. Using `model.gradient_checkpointing_enable()` instead, or if you are using the `Trainer` API, pass `gradient_checkpointing=True` in your `TrainingArguments`.
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- warnings.warn(
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- Model config SpeechEncoderDecoderConfig {
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- "_name_or_path": "sanchit-gandhi/flax-wav2vec2-2-bart-large-scan",
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- "architectures": [
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- "SpeechEncoderDecoderModel"
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- "add_final_layer_norm": false,
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- "architectures": [
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- "BartModel"
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- "no_repeat_ngram_size": 3,
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- "id2label": {
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- "typical_p": 1.0,
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- "xvector_output_dim": 512
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- },
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- "eos_token_id": 2,
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- "is_encoder_decoder": true,
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- "max_length": 40,
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- "model_type": "speech-encoder-decoder",
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- "tie_word_embeddings": false,
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- }
401
- loading feature extractor configuration file https://huggingface.co/sanchit-gandhi/flax-wav2vec2-2-bart-large-scan/resolve/main/preprocessor_config.json from cache at /home/sanchitgandhi/.cache/huggingface/transformers/bc2232c616201c7d3d66ba3f6a7d1186306134838dfb19786149f0e16122787d.bbc1eb890a39c82e710a893223b8452ac5b78e8b57083b2f893aa7dc59d4ed69
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- Feature extractor Wav2Vec2FeatureExtractor {
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- "do_normalize": true,
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- "feature_extractor_type": "Wav2Vec2FeatureExtractor",
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- "feature_size": 1,
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- "padding_side": "right",
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- "padding_value": 0.0,
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415
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420
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423
- If your task is similar to the task the model of the checkpoint was trained on, you can already use FlaxSpeechEncoderDecoderModel for predictions without further training.
424
- 100% 282/282 [00:00<00:00, 413.62ba/s]
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- preprocess train dataset: 11% 31999/281241 [07:44<1:00:15, 68.94ex/s]
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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