Model save

config.json

@@ -182,7 +182,7 @@
     "forced_eos_token_id": null,
     "gradient_checkpointing": false,
     "hidden_act": "gelu",
-    "hidden_dropout": 0.0565117244178473,
+    "hidden_dropout": 0.09631139674620667,
     "hidden_size": 1024,
     "id2label": {
       "0": "LABEL_0",

emissions.csv

@@ -1,3 +1,4 @@
 timestamp,experiment_id,project_name,duration,emissions,energy_consumed,country_name,country_iso_code,region,on_cloud,cloud_provider,cloud_region
 2022-05-05T16:48:26,007b9db1-239c-40f9-98bb-a49a8ca2335a,codecarbon,95211.06082129478,4.5155629218581845,7.973799967964304,USA,USA,Iowa,Y,gcp,us-central1
 2022-05-05T16:56:19,627443c3-2da9-47f0-ba77-b214222dc4b5,codecarbon,4.1675004959106445,8.656501495756196e-05,0.0001528607009669115,USA,USA,Iowa,Y,gcp,us-central1
+2022-05-05T17:00:32,1efac663-7969-4027-aa3d-822530f1f4b4,codecarbon,4.133359432220459,8.585637156443654e-05,0.00015160934410107107,USA,USA,Iowa,Y,gcp,us-central1

runs/May05_16-59-31_sanchit--v100/1651770023.763299/events.out.tfevents.1651770023.sanchit--v100.70352.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8c63dfcadb6caa1e67554419235627f6e1d2cb492015de36edf49b0468191a84
+size 5184

runs/May05_16-59-31_sanchit--v100/events.out.tfevents.1651770023.sanchit--v100.70352.0

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:51a0e79839ccbb731ec354210908153e88a1cb71a4a1336c3b6b1abb8e5c8b0d
+size 10206

training_args.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:c90e2d417e4b49bc3f038d9306e62f9a5677d5bb520e1c9e0e2db3b558b2f61e
+oid sha256:34aa5a9f76fd64d4df1826b0cfe411c87ccd3848a1ee5088e9b65dfff1722425
 size 3247

wandb/debug-cli.log

@@ -54,3 +54,29 @@
 	warmup_steps: 500
 2022-05-05 16:55:15 INFO About to run command: python3 run_xtreme_s.py --overwrite_output_dir --freeze_feature_encoder --gradient_checkpointing --predict_with_generate --fp16 --group_by_length --do_train --do_eval --load_best_model_at_end --push_to_hub --use_auth_token --eval_split_name=test --eval_steps=500 --evaluation_strategy=steps --generation_max_length=40 --generation_num_beams=1 --gradient_accumulation_steps=8 --greater_is_better=True --hidden_dropout=0.0565117244178473 --language=fr.en --learning_rate=0.0004100464310609422 --logging_steps=1 --max_duration_in_seconds=20 --metric_for_best_model=bleu --model_name_or_path=./ --num_train_epochs=3 --output_dir=./ --per_device_eval_batch_size=8 --per_device_train_batch_size=8 --save_steps=500 --task=covost2 --warmup_steps=500
 2022-05-05 16:55:20 INFO Running runs: ['npwlqyuz']
+2022-05-05 16:59:27 INFO Cleaning up finished run: npwlqyuz
+2022-05-05 16:59:28 INFO Agent received command: run
+2022-05-05 16:59:28 INFO Agent starting run with config:
+	eval_split_name: test
+	eval_steps: 500
+	evaluation_strategy: steps
+	generation_max_length: 40
+	generation_num_beams: 1
+	gradient_accumulation_steps: 8
+	greater_is_better: True
+	hidden_dropout: 0.09631139674620667
+	language: fr.en
+	learning_rate: 0.0001294077232279209
+	logging_steps: 1
+	max_duration_in_seconds: 20
+	metric_for_best_model: bleu
+	model_name_or_path: ./
+	num_train_epochs: 3
+	output_dir: ./
+	per_device_eval_batch_size: 8
+	per_device_train_batch_size: 8
+	save_steps: 500
+	task: covost2
+	warmup_steps: 500
+2022-05-05 16:59:28 INFO About to run command: python3 run_xtreme_s.py --overwrite_output_dir --freeze_feature_encoder --gradient_checkpointing --predict_with_generate --fp16 --group_by_length --do_train --do_eval --load_best_model_at_end --push_to_hub --use_auth_token --eval_split_name=test --eval_steps=500 --evaluation_strategy=steps --generation_max_length=40 --generation_num_beams=1 --gradient_accumulation_steps=8 --greater_is_better=True --hidden_dropout=0.09631139674620667 --language=fr.en --learning_rate=0.0001294077232279209 --logging_steps=1 --max_duration_in_seconds=20 --metric_for_best_model=bleu --model_name_or_path=./ --num_train_epochs=3 --output_dir=./ --per_device_eval_batch_size=8 --per_device_train_batch_size=8 --save_steps=500 --task=covost2 --warmup_steps=500
+2022-05-05 16:59:33 INFO Running runs: ['58ade1nh']

wandb/debug-internal.log

@@ -1 +1 @@
-run-20220505_165612-npwlqyuz/logs/debug-internal.log
+run-20220505_170025-58ade1nh/logs/debug-internal.log

wandb/debug.log

@@ -1 +1 @@
-run-20220505_165612-npwlqyuz/logs/debug.log
+run-20220505_170025-58ade1nh/logs/debug.log

wandb/latest-run

@@ -1 +1 @@
-run-20220505_165612-npwlqyuz
+run-20220505_170025-58ade1nh

wandb/run-20220505_165612-npwlqyuz/files/config.yaml

@@ -52,7 +52,16 @@ _wandb:
       - 5
       - 11
       - 12
+      2:
+      - 1
+      - 2
+      - 3
+      - 5
+      - 11
+      - 12
       3:
+      - 1
+      - 7
       - 13
       4: 3.9.5
       5: 0.12.10

wandb/run-20220505_165612-npwlqyuz/files/output.log

@@ -55,3 +55,25 @@ Configuration saved in ./config.json
   train_samples_per_second =    78021.8
   train_steps_per_second   =   1219.008
 Model weights saved in ./pytorch_model.bin
+Feature extractor saved in ./preprocessor_config.json
+05/05/2022 16:59:06 - WARNING - huggingface_hub.repository - To https://huggingface.co/sanchit-gandhi/xtreme_s_xlsr_2_bart_covost2_fr_en_2
+   30cf64e..44e06ec  main -> main
+To https://huggingface.co/sanchit-gandhi/xtreme_s_xlsr_2_bart_covost2_fr_en_2
+   30cf64e..44e06ec  main -> main
+Traceback (most recent call last):
+  File "/home/sanchit_huggingface_co/xtreme_s_xlsr_2_bart_covost2_fr_en_2/run_xtreme_s.py", line 972, in <module>
+    main()
+  File "/home/sanchit_huggingface_co/xtreme_s_xlsr_2_bart_covost2_fr_en_2/run_xtreme_s.py", line 964, in main
+    trainer.push_to_hub(**kwargs)
+  File "/home/sanchit_huggingface_co/transformers/src/transformers/trainer.py", line 2944, in push_to_hub
+    self.create_model_card(model_name=model_name, **kwargs)
+  File "/home/sanchit_huggingface_co/transformers/src/transformers/trainer.py", line 2841, in create_model_card
+    training_summary = TrainingSummary.from_trainer(
+  File "/home/sanchit_huggingface_co/transformers/src/transformers/modelcard.py", line 611, in from_trainer
+    return cls(
+  File "<string>", line 16, in __init__
+  File "/home/sanchit_huggingface_co/transformers/src/transformers/modelcard.py", line 401, in __post_init__
+    info = model_info(self.finetuned_from)
+  File "/home/sanchit_huggingface_co/gcp/lib/python3.9/site-packages/huggingface_hub/hf_api.py", line 870, in model_info
+    return ModelInfo(**d)
+TypeError: huggingface_hub.hf_api.ModelInfo() argument after ** must be a mapping, not list

wandb/run-20220505_165612-npwlqyuz/files/wandb-summary.json

@@ -1 +1 @@
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+{"train/train_runtime": 7.9737, "train/train_samples_per_second": 78021.8, "train/train_steps_per_second": 1219.008, "train/total_flos": 0.0, "train/train_loss": 0.0, "train/epoch": 3.0, "train/global_step": 9720, "_runtime": 7, "_timestamp": 1651769779, "_step": 0, "_wandb": {"runtime": 179}}

wandb/run-20220505_165612-npwlqyuz/logs/debug-internal.log

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wandb/run-20220505_165612-npwlqyuz/logs/debug.log

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wandb/run-20220505_170025-58ade1nh/files/config.yaml

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wandb/run-20220505_170025-58ade1nh/files/output.log

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+  0%|                                                                                          | 0/9720 [00:00<?, ?it/s]
+Training completed. Do not forget to share your model on huggingface.co/models =)
+Loading best model from ./checkpoint-1500 (score: 1.89534922643667e-13).
+{'train_runtime': 9.1437, 'train_samples_per_second': 68038.079, 'train_steps_per_second': 1063.023, 'train_loss': 0.0, 'epoch': 3.0}
+  0%|                                                                                          | 0/9720 [00:04<?, ?it/s]
+Skipping the first batches: : 0it [00:09, ?it/s]                                               | 0/9720 [00:04<?, ?it/s]
+Saving model checkpoint to ./
+Configuration saved in ./config.json
+Model weights saved in ./pytorch_model.bin
+Feature extractor saved in ./preprocessor_config.json
+Saving model checkpoint to ./
+Configuration saved in ./config.json
+Model weights saved in ./pytorch_model.bin

wandb/run-20220505_170025-58ade1nh/files/requirements.txt

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'LABEL_0', 1: 'LABEL_1', 2: 'LABEL_2'}, 'label2id': {'LABEL_0': 0, 'LABEL_1': 1, 'LABEL_2': 2}, 'tokenizer_class': None, 'prefix': None, 'bos_token_id': 0, 'pad_token_id': 1, 'eos_token_id': 2, 'sep_token_id': None, 'decoder_start_token_id': 2, 'task_specific_params': {'summarization': {'length_penalty': 1.0, 'max_length': 128, 'min_length': 12, 'num_beams': 4}, 'summarization_cnn': {'length_penalty': 2.0, 'max_length': 142, 'min_length': 56, 'num_beams': 4}, 'summarization_xsum': {'length_penalty': 1.0, 'max_length': 62, 'min_length': 11, 'num_beams': 6}}, 'problem_type': None, '_name_or_path': 'facebook/bart-large', 'transformers_version': '4.19.0.dev0', 'add_bias_logits': False, 'add_final_layer_norm': False, 'classif_dropout': 0.1, 'gradient_checkpointing': False, 'normalize_before': False, 'model_type': 'bart'}, 'encoder': {'return_dict': True, 'output_hidden_states': False, 'output_attentions': False, 'torchscript': False, 'torch_dtype': 'float32', 'use_bfloat16': False, 'pruned_heads': {}, 'tie_word_embeddings': True, 'is_encoder_decoder': False, 'is_decoder': False, 'cross_attention_hidden_size': None, 'add_cross_attention': False, 'tie_encoder_decoder': False, 'max_length': 20, 'min_length': 0, 'do_sample': False, 'early_stopping': False, 'num_beams': 1, 'num_beam_groups': 1, 'diversity_penalty': 0.0, 'temperature': 1.0, 'top_k': 50, 'top_p': 1.0, 'typical_p': 1.0, 'repetition_penalty': 1.0, 'length_penalty': 1.0, 'no_repeat_ngram_size': 0, 'encoder_no_repeat_ngram_size': 0, 'bad_words_ids': None, 'num_return_sequences': 1, 'chunk_size_feed_forward': 0, 'output_scores': False, 'return_dict_in_generate': False, 'forced_bos_token_id': None, 'forced_eos_token_id': None, 'remove_invalid_values': False, 'exponential_decay_length_penalty': None, 'architectures': ['Wav2Vec2ForPreTraining'], 'finetuning_task': None, 'id2label': {0: 'LABEL_0', 1: 'LABEL_1'}, 'label2id': {'LABEL_0': 0, 'LABEL_1': 1}, 'tokenizer_class': None, 'prefix': None, 'bos_token_id': 1, 'pad_token_id': 0, 'eos_token_id': 2, 'sep_token_id': None, 'decoder_start_token_id': None, 'task_specific_params': None, 'problem_type': None, '_name_or_path': 'facebook/wav2vec2-xls-r-300m', 'transformers_version': '4.19.0.dev0', 'feat_extract_dropout': 0.0, 'gradient_checkpointing': False, 'num_feat_extract_layers': 7, 'hidden_size': 1024, 'feat_extract_norm': 'layer', 'feat_extract_activation': 'gelu', 'conv_dim': [512, 512, 512, 512, 512, 512, 512], 'conv_stride': [5, 2, 2, 2, 2, 2, 2], 'conv_kernel': [10, 3, 3, 3, 3, 2, 2], 'conv_bias': True, 'num_conv_pos_embeddings': 128, 'num_conv_pos_embedding_groups': 16, 'num_hidden_layers': 24, 'intermediate_size': 4096, 'hidden_act': 'gelu', 'num_attention_heads': 16, 'hidden_dropout': 0.09631139674620667, 'attention_dropout': 0.1, 'activation_dropout': 0.0, 'feat_proj_dropout': 0.0, 'final_dropout': 0.0, 'layerdrop': 0.0, 'layer_norm_eps': 1e-05, 'initializer_range': 0.02, 'vocab_size': 32, 'do_stable_layer_norm': True, 'use_weighted_layer_sum': False, 'apply_spec_augment': True, 'mask_time_prob': 0.1, 'mask_time_length': 10, 'mask_time_min_masks': 2, 'mask_feature_prob': 0.0, 'mask_feature_length': 10, 'mask_feature_min_masks': 0, 'num_codevectors_per_group': 320, 'num_codevector_groups': 2, 'contrastive_logits_temperature': 0.1, 'feat_quantizer_dropout': 0.0, 'num_negatives': 100, 'codevector_dim': 768, 'proj_codevector_dim': 768, 'diversity_loss_weight': 0.1, 'ctc_loss_reduction': 'sum', 'ctc_zero_infinity': False, 'add_adapter': True, 'adapter_kernel_size': 3, 'adapter_stride': 2, 'num_adapter_layers': 3, 'output_hidden_size': 1024, 'classifier_proj_size': 256, 'tdnn_dim': [512, 512, 512, 512, 1500], 'tdnn_kernel': [5, 3, 3, 1, 1], 'tdnn_dilation': [1, 2, 3, 1, 1], 'xvector_output_dim': 512, 'model_type': 'wav2vec2'}, 'model_type': 'speech-encoder-decoder', 'processor_class': 'Wav2Vec2Processor', 'use_cache': False, 'overwrite_output_dir': True, 'do_train': True, 'do_eval': True, 'do_predict': False, 'prediction_loss_only': False, 'per_gpu_train_batch_size': 'None', 'per_gpu_eval_batch_size': 'None', 'eval_accumulation_steps': 'None', 'eval_delay': 0, 'weight_decay': 0.0, 'adam_beta1': 0.9, 'adam_beta2': 0.999, 'adam_epsilon': 1e-08, 'max_grad_norm': 1.0, 'max_steps': -1, 'lr_scheduler_type': 'linear', 'warmup_ratio': 0.0, 'log_level': -1, 'log_level_replica': -1, 'log_on_each_node': True, 'logging_dir': './runs/May05_16-59-31_sanchit--v100', 'logging_strategy': 'steps', 'logging_first_step': False, 'logging_nan_inf_filter': True, 'save_strategy': 'steps', 'save_total_limit': 'None', 'save_on_each_node': False, 'no_cuda': False, 'seed': 42, 'data_seed': 'None', 'bf16': False, 'fp16': True, 'fp16_opt_level': 'O1', 'half_precision_backend': 'amp', 'bf16_full_eval': False, 'fp16_full_eval': False, 'tf32': 'None', 'local_rank': -1, 'xpu_backend': 'None', 'tpu_num_cores': 'None', 'tpu_metrics_debug': False, 'debug': '[]', 'dataloader_drop_last': False, 'dataloader_num_workers': 0, 'past_index': -1, 'run_name': './', 'disable_tqdm': False, 'remove_unused_columns': True, 'label_names': 'None', 'load_best_model_at_end': True, 'ignore_data_skip': False, 'sharded_ddp': '[]', 'deepspeed': 'None', 'label_smoothing_factor': 0.0, 'optim': 'adamw_hf', 'adafactor': False, 'group_by_length': True, 'length_column_name': 'length', 'report_to': "['tensorboard', 'wandb', 'codecarbon']", 'ddp_find_unused_parameters': 'None', 'ddp_bucket_cap_mb': 'None', 'dataloader_pin_memory': True, 'skip_memory_metrics': True, 'use_legacy_prediction_loop': False, 'push_to_hub': True, 'resume_from_checkpoint': 'None', 'hub_model_id': 'None', 'hub_strategy': 'every_save', 'hub_token': '<HUB_TOKEN>', 'hub_private_repo': False, 'gradient_checkpointing': True, 'include_inputs_for_metrics': False, 'fp16_backend': 'auto', 'push_to_hub_model_id': 'None', 'push_to_hub_organization': 'None', 'push_to_hub_token': '<PUSH_TO_HUB_TOKEN>', '_n_gpu': 1, 'mp_parameters': '', 'sortish_sampler': False, 'predict_with_generate': True, 'train_batch_size': 8, 'eval_batch_size': 8}
+2022-05-05 17:00:28,752 INFO    MainThread:70352 [wandb_watch.py:watch():43] Watching

wandb/sweep-pvyx3mpp/config-58ade1nh.yaml

@@ -0,0 +1,44 @@
+wandb_version: 1
+
+eval_split_name:
+  value: test
+eval_steps:
+  value: 500
+evaluation_strategy:
+  value: steps
+generation_max_length:
+  value: 40
+generation_num_beams:
+  value: 1
+gradient_accumulation_steps:
+  value: 8
+greater_is_better:
+  value: true
+hidden_dropout:
+  value: 0.09631139674620667
+language:
+  value: fr.en
+learning_rate:
+  value: 0.0001294077232279209
+logging_steps:
+  value: 1
+max_duration_in_seconds:
+  value: 20
+metric_for_best_model:
+  value: bleu
+model_name_or_path:
+  value: ./
+num_train_epochs:
+  value: 3
+output_dir:
+  value: ./
+per_device_eval_batch_size:
+  value: 8
+per_device_train_batch_size:
+  value: 8
+save_steps:
+  value: 500
+task:
+  value: covost2
+warmup_steps:
+  value: 500