diff --git "a/errs" "b/errs" deleted file mode 100644--- "a/errs" +++ /dev/null @@ -1,2087 +0,0 @@ - Downloading: 0%| | 0.00/9.79k [00:00 to the vocabulary -Adding to the vocabulary -Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained. -loading configuration file https://huggingface.co/facebook/wav2vec2-xls-r-300m/resolve/main/config.json from cache at /home/sagrilaft/.cache/huggingface/transformers/dabc27df63e37bd2a7a221c7774e35f36a280fbdf917cf54cadfc7df8c786f6f.a3e4c3c967d9985881e0ae550a5f6f668f897db5ab2e0802f9b97973b15970e6 -Model config Wav2Vec2Config { - "_name_or_path": "facebook/wav2vec2-xls-r-300m", - "activation_dropout": 0.0, - "adapter_kernel_size": 3, - "adapter_stride": 2, - "add_adapter": false, - "apply_spec_augment": true, - "architectures": [ - "Wav2Vec2ForPreTraining" - ], - "attention_dropout": 0.1, - "bos_token_id": 1, - "classifier_proj_size": 256, - "codevector_dim": 768, - "contrastive_logits_temperature": 0.1, - "conv_bias": true, - "conv_dim": [ - 512, - 512, - 512, - 512, - 512, - 512, - 512 - ], - "conv_kernel": [ - 10, - 3, - 3, - 3, - 3, - 2, - 2 - ], - "conv_stride": [ - 5, - 2, - 2, - 2, - 2, - 2, - 2 - ], - "ctc_loss_reduction": "sum", - "ctc_zero_infinity": false, - "diversity_loss_weight": 0.1, - "do_stable_layer_norm": true, - "eos_token_id": 2, - "feat_extract_activation": "gelu", - "feat_extract_dropout": 0.0, - "feat_extract_norm": "layer", - "feat_proj_dropout": 0.1, - "feat_quantizer_dropout": 0.0, - "final_dropout": 0.0, - "gradient_checkpointing": false, - "hidden_act": "gelu", - "hidden_dropout": 0.1, - "hidden_size": 1024, - "initializer_range": 0.02, - "intermediate_size": 4096, - "layer_norm_eps": 1e-05, - "layerdrop": 0.1, - "mask_feature_length": 10, - "mask_feature_min_masks": 0, - "mask_feature_prob": 0.0, - "mask_time_length": 10, - "mask_time_min_masks": 2, - "mask_time_prob": 0.075, - "model_type": "wav2vec2", - "num_adapter_layers": 3, - "num_attention_heads": 16, - "num_codevector_groups": 2, - "num_codevectors_per_group": 320, - "num_conv_pos_embedding_groups": 16, - "num_conv_pos_embeddings": 128, - "num_feat_extract_layers": 7, - "num_hidden_layers": 24, - "num_negatives": 100, - "output_hidden_size": 1024, - "pad_token_id": 0, - "proj_codevector_dim": 768, - "tdnn_dilation": [ - 1, - 2, - 3, - 1, - 1 - ], - "tdnn_dim": [ - 512, - 512, - 512, - 512, - 1500 - ], - "tdnn_kernel": [ - 5, - 3, - 3, - 1, - 1 - ], - "torch_dtype": "float32", - "transformers_version": "4.16.0.dev0", - "use_weighted_layer_sum": false, - "vocab_size": 32, - "xvector_output_dim": 512 -} - -loading feature extractor configuration file https://huggingface.co/facebook/wav2vec2-xls-r-300m/resolve/main/preprocessor_config.json from cache at /home/sagrilaft/.cache/huggingface/transformers/6fb028b95b394059e7d3b367bbca2382b576c66aebe896f04d2cd34e1b575f5b.d4484dc1c81456a2461485e7168b04347a7b9a4e3b1ef3aba723323b33e12326 -Feature extractor Wav2Vec2FeatureExtractor { - "do_normalize": true, - "feature_extractor_type": "Wav2Vec2FeatureExtractor", - "feature_size": 1, - "padding_side": "right", - "padding_value": 0, - "return_attention_mask": true, - "sampling_rate": 16000 -} - -loading weights file https://huggingface.co/facebook/wav2vec2-xls-r-300m/resolve/main/pytorch_model.bin from cache at /home/sagrilaft/.cache/huggingface/transformers/1e6a6507f3b689035cd4b247e2a37c154e27f39143f31357a49b4e38baeccc36.1edb32803799e27ed554eb7dd935f6745b1a0b17b0ea256442fe24db6eb546cd -Some weights of the model checkpoint at facebook/wav2vec2-xls-r-300m were not used when initializing Wav2Vec2ForCTC: ['project_q.bias', 'project_q.weight', 'quantizer.weight_proj.weight', 'project_hid.bias', 'project_hid.weight', 'quantizer.codevectors', 'quantizer.weight_proj.bias'] -- This IS expected if you are initializing Wav2Vec2ForCTC from the checkpoint of a model trained on another task or with another architecture (e.g. initializing a BertForSequenceClassification model from a BertForPreTraining model). -- This IS NOT expected if you are initializing Wav2Vec2ForCTC from the checkpoint of a model that you expect to be exactly identical (initializing a BertForSequenceClassification model from a BertForSequenceClassification model). -Some weights of Wav2Vec2ForCTC were not initialized from the model checkpoint at facebook/wav2vec2-xls-r-300m and are newly initialized: ['lm_head.bias', 'lm_head.weight'] -You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference. - preprocess datasets: 0ex [00:00, ?ex/s] preprocess datasets: 3ex [00:00, 29.00ex/s] preprocess datasets: 11ex [00:00, 58.57ex/s] preprocess datasets: 20ex [00:00, 71.44ex/s] preprocess datasets: 28ex [00:00, 73.26ex/s] preprocess datasets: 36ex [00:00, 74.53ex/s] preprocess datasets: 44ex [00:00, 75.67ex/s] preprocess datasets: 52ex [00:00, 74.21ex/s] preprocess datasets: 60ex [00:00, 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-Adding to the vocabulary -/home/sagrilaft/Project/audio/xls-r-et/./ is already a clone of https://huggingface.co/shpotes/xls-r-et. Make sure you pull the latest changes with `repo.git_pull()`. -Using amp half precision backend -The following columns in the training set don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length. -***** Running training ***** - Num examples = 5705 - Num Epochs = 500 - Instantaneous batch size per device = 80 - Total train batch size (w. parallel, distributed & accumulation) = 160 - Gradient Accumulation steps = 2 - Total optimization steps = 18000 -Automatic Weights & Biases logging enabled, to disable set os.environ["WANDB_DISABLED"] = "true" -wandb: Currently logged in as: shpotes (use `wandb login --relogin` to force relogin) -wandb: Tracking run with wandb version 0.12.9 -wandb: Syncing run cosine+drop_proj+low_specaugment-300M -wandb: View project at https://wandb.ai/shpotes/xls-r-estonian -wandb: View run at https://wandb.ai/shpotes/xls-r-estonian/runs/1xdiy2kf -wandb: Run data is saved locally in /home/sagrilaft/Project/audio/xls-r-et/wandb/run-20220126_105847-1xdiy2kf -wandb: Run `wandb offline` to turn off syncing. - 0% 0/18000 [00:00