pr-branch
#1
by
sudheer997
- opened
- .gitignore +0 -1
- README.md +0 -96
- config.json +0 -109
- preprocessor_config.json +0 -9
- pytorch_model.bin +0 -3
- runs/Nov21_06-37-38_6696bcd44a2b/events.out.tfevents.1669021909.6696bcd44a2b.106.2 +0 -3
- special_tokens_map.json +0 -6
- tokenizer_config.json +0 -10
- training_args.bin +0 -3
- vocab.json +0 -31
.gitignore
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checkpoint-*/
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README.md
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---
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tags:
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- generated_from_trainer
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model-index:
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- name: uaspeech-foundation-fintuned
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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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# uaspeech-foundation-fintuned
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- Loss: 2.5324
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- Wer: 1.2855
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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: 0.0001
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- train_batch_size: 4
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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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- lr_scheduler_warmup_steps: 1000
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- num_epochs: 30
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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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| 41.2984 | 0.7 | 500 | 2.8954 | 1.0 |
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| 3.0227 | 1.4 | 1000 | 2.8232 | 1.0042 |
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| 2.8283 | 2.11 | 1500 | 2.6291 | 1.0309 |
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| 2.5552 | 2.81 | 2000 | 2.2593 | 1.9170 |
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| 2.1714 | 3.51 | 2500 | 1.9586 | 1.9142 |
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| 1.8537 | 4.21 | 3000 | 1.5725 | 1.8579 |
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| 1.6087 | 4.92 | 3500 | 1.2772 | 1.7426 |
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| 1.3108 | 5.62 | 4000 | 1.2792 | 1.6751 |
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| 1.1652 | 6.32 | 4500 | 1.4565 | 1.6174 |
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| 1.0113 | 7.02 | 5000 | 1.1906 | 1.5626 |
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| 0.925 | 7.72 | 5500 | 1.4491 | 1.5260 |
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| 0.8183 | 8.43 | 6000 | 1.3712 | 1.5387 |
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| 0.7118 | 9.13 | 6500 | 1.4713 | 1.4866 |
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| 0.6959 | 9.83 | 7000 | 1.3336 | 1.4318 |
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| 0.6146 | 10.53 | 7500 | 1.3690 | 1.4177 |
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| 0.5655 | 11.24 | 8000 | 1.3789 | 1.4135 |
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| 0.4969 | 11.94 | 8500 | 1.5476 | 1.3966 |
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| 0.4705 | 12.64 | 9000 | 1.9062 | 1.3797 |
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| 0.4387 | 13.34 | 9500 | 1.2711 | 1.3924 |
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| 0.4115 | 14.04 | 10000 | 1.6318 | 1.3769 |
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| 0.3695 | 14.75 | 10500 | 1.5119 | 1.3755 |
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| 0.377 | 15.45 | 11000 | 1.6637 | 1.3812 |
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| 0.3788 | 16.15 | 11500 | 1.6636 | 1.3699 |
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| 0.3396 | 16.85 | 12000 | 1.6572 | 1.3418 |
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| 0.3047 | 17.56 | 12500 | 1.4740 | 1.3361 |
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| 0.2804 | 18.26 | 13000 | 2.0885 | 1.3249 |
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| 0.2995 | 18.96 | 13500 | 1.9536 | 1.3235 |
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| 0.2628 | 19.66 | 14000 | 1.7736 | 1.3179 |
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| 0.2703 | 20.37 | 14500 | 2.0018 | 1.3291 |
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| 0.2335 | 21.07 | 15000 | 1.7962 | 1.3221 |
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| 0.2068 | 21.77 | 15500 | 2.3187 | 1.3136 |
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| 0.2311 | 22.47 | 16000 | 2.4853 | 1.3291 |
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| 0.2491 | 23.17 | 16500 | 2.1901 | 1.3024 |
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| 0.1836 | 23.88 | 17000 | 2.4344 | 1.2911 |
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| 0.1823 | 24.58 | 17500 | 2.3705 | 1.3066 |
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| 0.1575 | 25.28 | 18000 | 2.1864 | 1.2897 |
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| 0.1451 | 25.98 | 18500 | 2.4216 | 1.2883 |
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| 0.1502 | 26.69 | 19000 | 2.1780 | 1.2855 |
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| 0.1392 | 27.39 | 19500 | 2.4009 | 1.2925 |
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| 0.1609 | 28.09 | 20000 | 2.4250 | 1.2982 |
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| 0.1066 | 28.79 | 20500 | 2.4433 | 1.2897 |
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| 0.1514 | 29.49 | 21000 | 2.5063 | 1.2855 |
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### Framework versions
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- Transformers 4.23.1
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- Pytorch 1.12.1+cu113
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- Datasets 1.18.3
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- Tokenizers 0.13.2
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config.json
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{
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"_name_or_path": "yongjian/wav2vec2-large-a",
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"activation_dropout": 0.1,
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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": 0.1,
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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": 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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],
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"conv_stride": [
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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": 0.1,
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"feat_quantizer_dropout": 0.0,
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"final_dropout": 0.1,
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"gradient_checkpointing": false,
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"hidden_act": "gelu",
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"hidden_dropout": 0.1,
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"hidden_dropout_prob": 0.1,
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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": 0.1,
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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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"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": 28,
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"proj_codevector_dim": 256,
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"tdnn_dilation": [
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],
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"tdnn_dim": [
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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": "4.23.1",
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"use_weighted_layer_sum": false,
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"vocab_size": 32,
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"xvector_output_dim": 512
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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 sha256:3a055cddc071655a160dc6b709a1977abf8361ceeec541cf426dd832b63c98cf
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size 1262029937
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runs/Nov21_06-37-38_6696bcd44a2b/events.out.tfevents.1669021909.6696bcd44a2b.106.2
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version https://git-lfs.github.com/spec/v1
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oid sha256:e5315c9ca1d48de5dfc596648177ab5cec6a2f0626479d5d45ee844dd481bdd8
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size 364
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special_tokens_map.json
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{
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"bos_token": "<s>",
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"eos_token": "</s>",
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"pad_token": "[PAD]",
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"unk_token": "[UNK]"
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}
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tokenizer_config.json
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{
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"bos_token": "<s>",
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"do_lower_case": false,
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"eos_token": "</s>",
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"pad_token": "[PAD]",
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"replace_word_delimiter_char": " ",
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"tokenizer_class": "Wav2Vec2CTCTokenizer",
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"unk_token": "[UNK]",
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"word_delimiter_token": "|"
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}
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:69ef2849dd93fa9fb2aea89abb0e8f7fccb88d3568d959037d7d1022e4b8cd77
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size 3375
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vocab.json
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{
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"[PAD]": 28,
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"[UNK]": 27,
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"a": 19,
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"b": 24,
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"c": 15,
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"d": 21,
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"e": 8,
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"f": 12,
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"g": 6,
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"h": 5,
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"i": 25,
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"j": 1,
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"k": 9,
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"l": 18,
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"m": 17,
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"n": 2,
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"o": 7,
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"p": 11,
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"q": 0,
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"r": 14,
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"s": 10,
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"t": 4,
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"u": 22,
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"v": 20,
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"w": 16,
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"x": 26,
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"y": 23,
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"z": 3,
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"|": 13
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}
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