Commit
•
1b22227
1
Parent(s):
8f63fa2
Adding model files
Browse files- README.md +75 -3
- added_tokens.json +1 -0
- all_results.json +14 -0
- checkpoint-6150/config.json +107 -0
- checkpoint-6150/optimizer.pt +3 -0
- checkpoint-6150/preprocessor_config.json +9 -0
- checkpoint-6150/pytorch_model.bin +3 -0
- checkpoint-6150/rng_state.pth +3 -0
- checkpoint-6150/scaler.pt +3 -0
- checkpoint-6150/scheduler.pt +3 -0
- checkpoint-6150/trainer_state.json +196 -0
- checkpoint-6150/training_args.bin +3 -0
- config.json +107 -0
- eval_results.json +9 -0
- preprocessor_config.json +9 -0
- pytorch_model.bin +3 -0
- special_tokens_map.json +1 -0
- tokenizer_config.json +1 -0
- train_results.json +8 -0
- trainer_state.json +205 -0
- training_args.bin +3 -0
- vocab.json +1 -0
README.md
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---
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---
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language:
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- fr
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license: apache-2.0
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tags:
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- automatic-speech-recognition
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- common_voice
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- generated_from_trainer
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datasets:
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- common_voice
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model-index:
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- name: wav2vec2-cls-r-300m-fr
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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-cls-r-300m-fr
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This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the COMMON_VOICE - FR dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.6521
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- Wer: 0.4330
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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: 0.0003
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- train_batch_size: 16
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- eval_batch_size: 8
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- seed: 42
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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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- num_epochs: 10.0
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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 | Wer |
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|:-------------:|:-----:|:----:|:---------------:|:------:|
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| 2.6773 | 0.8 | 500 | 1.3907 | 0.9864 |
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| 0.9526 | 1.6 | 1000 | 0.7760 | 0.6448 |
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| 0.6418 | 2.4 | 1500 | 0.7605 | 0.6194 |
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| 0.5028 | 3.2 | 2000 | 0.6516 | 0.5322 |
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| 0.4133 | 4.0 | 2500 | 0.6303 | 0.5097 |
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| 0.3285 | 4.8 | 3000 | 0.6422 | 0.5062 |
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| 0.2764 | 5.6 | 3500 | 0.5936 | 0.4748 |
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| 0.2361 | 6.4 | 4000 | 0.6486 | 0.4683 |
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| 0.2049 | 7.2 | 4500 | 0.6321 | 0.4532 |
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| 0.176 | 8.0 | 5000 | 0.6230 | 0.4482 |
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| 0.1393 | 8.8 | 5500 | 0.6595 | 0.4403 |
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| 0.1141 | 9.6 | 6000 | 0.6552 | 0.4348 |
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### Framework versions
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- Transformers 4.17.0.dev0
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- Pytorch 1.10.2+cu102
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- Datasets 1.18.2.dev0
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- Tokenizers 0.11.0
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added_tokens.json
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{"<s>": 98, "</s>": 99}
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all_results.json
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{
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"epoch": 10.0,
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"eval_loss": 0.6521482467651367,
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"eval_runtime": 218.1002,
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"eval_samples": 5000,
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"eval_samples_per_second": 22.925,
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"eval_steps_per_second": 2.866,
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"eval_wer": 0.43299040254091004,
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"train_loss": 0.5376352182006836,
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"train_runtime": 6902.5833,
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"train_samples": 10000,
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"train_samples_per_second": 14.487,
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"train_steps_per_second": 0.905
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}
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checkpoint-6150/config.json
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{
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"_name_or_path": "facebook/wav2vec2-xls-r-300m",
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"activation_dropout": 0.0,
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"adapter_kernel_size": 3,
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"adapter_stride": 2,
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"add_adapter": false,
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"apply_spec_augment": true,
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"architectures": [
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"Wav2Vec2ForCTC"
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],
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"attention_dropout": 0.0,
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"bos_token_id": 1,
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"classifier_proj_size": 256,
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"codevector_dim": 768,
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"contrastive_logits_temperature": 0.1,
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"conv_bias": true,
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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": "mean",
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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": true,
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"eos_token_id": 2,
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"feat_extract_activation": "gelu",
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"feat_extract_dropout": 0.0,
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"feat_extract_norm": "layer",
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"feat_proj_dropout": 0.0,
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"feat_quantizer_dropout": 0.0,
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"final_dropout": 0.0,
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"hidden_act": "gelu",
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"hidden_dropout": 0.0,
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"hidden_size": 1024,
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"initializer_range": 0.02,
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"intermediate_size": 4096,
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"layer_norm_eps": 1e-05,
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"layerdrop": 0.0,
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| 62 |
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"mask_feature_length": 10,
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+
"mask_feature_min_masks": 0,
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"mask_feature_prob": 0.0,
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"mask_time_length": 10,
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"mask_time_min_masks": 2,
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| 67 |
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"mask_time_prob": 0.05,
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"model_type": "wav2vec2",
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"num_adapter_layers": 3,
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"num_attention_heads": 16,
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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": 24,
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"num_negatives": 100,
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"output_hidden_size": 1024,
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"pad_token_id": 97,
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"proj_codevector_dim": 768,
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"tdnn_dilation": [
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1,
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3,
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1,
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1
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],
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"tdnn_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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],
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"tdnn_kernel": [
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],
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"torch_dtype": "float32",
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"transformers_version": "4.17.0.dev0",
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"use_weighted_layer_sum": false,
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"vocab_size": 100,
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"xvector_output_dim": 512
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}
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checkpoint-6150/optimizer.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:4e391e5dad53b8b60bd8c4a460a7c1eabc540d5582ab892d1c343b9c3f6f4c02
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size 2490878993
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checkpoint-6150/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,
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"return_attention_mask": true,
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"sampling_rate": 16000
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}
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checkpoint-6150/pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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size 1262333681
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checkpoint-6150/rng_state.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:39cba0a35f70c679ee24cbb51c03174b7983f412e9e4e73b301590c71c9f3731
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size 14567
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checkpoint-6150/scaler.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:0ff3aba594397e8587e51b929faa9fb4267682c4a88bb15276335b362cc33cf1
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size 559
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checkpoint-6150/scheduler.pt
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version https://git-lfs.github.com/spec/v1
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size 623
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checkpoint-6150/trainer_state.json
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