Commit
•
07f519d
1
Parent(s):
80d2803
Initial Commit
Browse files- README.md +70 -0
- all_results.json +12 -0
- config.json +117 -0
- emissions.csv +2 -0
- eval_results.json +8 -0
- preprocessor_config.json +9 -0
- pytorch_model.bin +3 -0
- runs/Oct27_22-01-18_anton-gpu-v100/1635372097.669254/events.out.tfevents.1635372097.anton-gpu-v100.276919.1 +3 -0
- runs/Oct27_22-01-18_anton-gpu-v100/events.out.tfevents.1635372097.anton-gpu-v100.276919.0 +3 -0
- runs/Oct27_22-01-18_anton-gpu-v100/events.out.tfevents.1635372990.anton-gpu-v100.276919.2 +3 -0
- tokenizer_config.json +1 -0
- train_results.json +7 -0
- trainer_state.json +1264 -0
- training_args.bin +3 -0
- vocab.json +1 -0
README.md
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---
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license: apache-2.0
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tags:
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- audio-classification
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- generated_from_trainer
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datasets:
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- superb
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metrics:
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- accuracy
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model-index:
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- name: wav2vec2-base-ft-keyword-spotting
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# wav2vec2-base-ft-keyword-spotting
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This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the superb dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0824
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- Accuracy: 0.9826
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 3e-05
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- train_batch_size: 32
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- eval_batch_size: 32
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- seed: 0
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 128
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs: 5.0
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| 0.8972 | 1.0 | 399 | 0.7023 | 0.8174 |
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| 0.3274 | 2.0 | 798 | 0.1634 | 0.9773 |
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| 0.1993 | 3.0 | 1197 | 0.1048 | 0.9788 |
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| 0.1777 | 4.0 | 1596 | 0.0824 | 0.9826 |
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| 0.1527 | 5.0 | 1995 | 0.0812 | 0.9810 |
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### Framework versions
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- Transformers 4.12.0.dev0
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- Pytorch 1.9.1+cu111
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- Datasets 1.14.0
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- Tokenizers 0.10.3
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all_results.json
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{
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"epoch": 5.0,
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"eval_accuracy": 0.9826419535157399,
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"eval_loss": 0.08240818232297897,
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+
"eval_runtime": 14.1019,
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"eval_samples_per_second": 482.063,
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"eval_steps_per_second": 15.104,
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"train_loss": 0.5217096392672164,
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"train_runtime": 876.8675,
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"train_samples_per_second": 291.344,
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"train_steps_per_second": 2.275
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}
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config.json
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{
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"_name_or_path": "facebook/wav2vec2-base",
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"activation_dropout": 0.0,
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"apply_spec_augment": true,
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"architectures": [
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"Wav2Vec2ForSequenceClassification"
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],
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"attention_dropout": 0.1,
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"bos_token_id": 1,
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"classifier_proj_size": 256,
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"codevector_dim": 256,
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"contrastive_logits_temperature": 0.1,
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"conv_bias": false,
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"conv_dim": [
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512,
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512,
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512,
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512,
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512,
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512,
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512
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],
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"conv_kernel": [
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10,
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3,
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3,
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3,
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3,
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2,
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2
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],
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"conv_stride": [
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5,
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2,
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2,
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2,
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2,
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2,
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2
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],
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"ctc_loss_reduction": "sum",
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"ctc_zero_infinity": false,
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"diversity_loss_weight": 0.1,
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"do_stable_layer_norm": false,
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"eos_token_id": 2,
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"feat_extract_activation": "gelu",
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"feat_extract_norm": "group",
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"feat_proj_dropout": 0.1,
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"feat_quantizer_dropout": 0.0,
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"final_dropout": 0.0,
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"finetuning_task": "audio-classification",
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"freeze_feat_extract_train": true,
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"hidden_act": "gelu",
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"hidden_dropout": 0.1,
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"hidden_size": 768,
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"id2label": {
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"0": "yes",
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"1": "no",
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"10": "_silence_",
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"11": "_unknown_",
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"2": "up",
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"3": "down",
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"4": "left",
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"5": "right",
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"6": "on",
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"7": "off",
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"8": "stop",
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"9": "go"
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},
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"label2id": {
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"_silence_": "10",
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"_unknown_": "11",
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"down": "3",
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"go": "9",
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"left": "4",
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"no": "1",
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"off": "7",
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"on": "6",
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"right": "5",
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"stop": "8",
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"up": "2",
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"yes": "0"
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},
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"layer_norm_eps": 1e-05,
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"layerdrop": 0.05,
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"mask_channel_length": 10,
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"mask_channel_min_space": 1,
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"mask_channel_other": 0.0,
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"mask_channel_prob": 0.0,
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"mask_channel_selection": "static",
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"mask_feature_length": 10,
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"mask_feature_prob": 0.0,
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"mask_time_length": 10,
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"mask_time_min_space": 1,
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"mask_time_other": 0.0,
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"mask_time_prob": 0.05,
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"mask_time_selection": "static",
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"model_type": "wav2vec2",
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"no_mask_channel_overlap": false,
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"no_mask_time_overlap": false,
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"num_attention_heads": 12,
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"num_codevector_groups": 2,
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"num_codevectors_per_group": 320,
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"num_conv_pos_embedding_groups": 16,
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"num_conv_pos_embeddings": 128,
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"num_feat_extract_layers": 7,
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"num_hidden_layers": 12,
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"num_negatives": 100,
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"pad_token_id": 0,
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"proj_codevector_dim": 256,
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"torch_dtype": "float32",
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"transformers_version": "4.12.0.dev0",
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"use_weighted_layer_sum": false,
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"vocab_size": 32
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}
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emissions.csv
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timestamp,experiment_id,project_name,duration,emissions,energy_consumed,country_name,country_iso_code,region,on_cloud,cloud_provider,cloud_region
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2021-10-27T22:16:14,8843ae00-7e3b-4076-a01c-76400931e2dc,codecarbon,876.8788502216339,0.05179114541761414,0.09145531594139882,USA,USA,Iowa,Y,gcp,us-central1
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eval_results.json
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{
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"epoch": 5.0,
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"eval_accuracy": 0.9826419535157399,
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"eval_loss": 0.08240818232297897,
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"eval_runtime": 14.1019,
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"eval_samples_per_second": 482.063,
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"eval_steps_per_second": 15.104
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}
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preprocessor_config.json
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{
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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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"return_attention_mask": false,
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"sampling_rate": 16000
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}
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:8d24be12297c42c2247f6054bc1bdba9d2e0476340a3ecc2b0ec08d925d344ec
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size 378371987
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runs/Oct27_22-01-18_anton-gpu-v100/1635372097.669254/events.out.tfevents.1635372097.anton-gpu-v100.276919.1
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version https://git-lfs.github.com/spec/v1
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oid sha256:93bffd933f01ad579c67046dfa7088da35322f22dada83b3650b87dde344e509
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size 4584
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runs/Oct27_22-01-18_anton-gpu-v100/events.out.tfevents.1635372097.anton-gpu-v100.276919.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:11a8e1c3a351751ef46aea187efa3611845e2c78f0bf4a5bf10dddaa43044764
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size 38172
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runs/Oct27_22-01-18_anton-gpu-v100/events.out.tfevents.1635372990.anton-gpu-v100.276919.2
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version https://git-lfs.github.com/spec/v1
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oid sha256:a2bc717a11cae449e453015d00f41f1bba886850c7a8d8278d7d3418d7c0ce89
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size 363
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tokenizer_config.json
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{"unk_token": "<unk>", "bos_token": "<s>", "eos_token": "</s>", "pad_token": "<pad>", "do_lower_case": false, "return_attention_mask": false, "do_normalize": true}
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train_results.json
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{
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"epoch": 5.0,
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"train_loss": 0.5217096392672164,
|
| 4 |
+
"train_runtime": 876.8675,
|
| 5 |
+
"train_samples_per_second": 291.344,
|
| 6 |
+
"train_steps_per_second": 2.275
|
| 7 |
+
}
|
trainer_state.json
ADDED
|
@@ -0,0 +1,1264 @@
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