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Browse files- README.md +77 -0
- added_tokens.json +6 -0
- all_results.json +14 -0
- checkpoint-18000/added_tokens.json +6 -0
- checkpoint-18000/config.json +117 -0
- checkpoint-18000/optimizer.pt +3 -0
- checkpoint-18000/preprocessor_config.json +10 -0
- checkpoint-18000/pytorch_model.bin +3 -0
- checkpoint-18000/rng_state_0.pth +3 -0
- checkpoint-18000/rng_state_1.pth +3 -0
- checkpoint-18000/rng_state_2.pth +3 -0
- checkpoint-18000/rng_state_3.pth +3 -0
- checkpoint-18000/scheduler.pt +3 -0
- checkpoint-18000/special_tokens_map.json +10 -0
- checkpoint-18000/tokenizer_config.json +56 -0
- checkpoint-18000/trainer_state.json +199 -0
- checkpoint-18000/training_args.bin +3 -0
- checkpoint-18000/vocab.json +1307 -0
- config.json +117 -0
- eval_results.json +9 -0
- preprocessor_config.json +10 -0
- pytorch_model.bin +3 -0
- special_tokens_map.json +10 -0
- tokenizer_config.json +56 -0
- train_results.json +8 -0
- trainer_state.json +208 -0
- training_args.bin +3 -0
- vocab.json +1307 -0
README.md
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---
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license: apache-2.0
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base_model: facebook/wav2vec2-large-xlsr-53
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tags:
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- automatic-speech-recognition
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- ./sample_speech.py
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- generated_from_trainer
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model-index:
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- name: ko-xlsr
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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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# ko-xlsr
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This model is a fine-tuned version of [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on the ./SAMPLE_SPEECH.PY - NA dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.4651
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- Cer: 0.0828
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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: 2
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- eval_batch_size: 2
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- seed: 42
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- distributed_type: multi-GPU
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- num_devices: 4
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- gradient_accumulation_steps: 8
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- total_train_batch_size: 64
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- total_eval_batch_size: 8
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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: 40
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Cer |
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|:-------------:|:-----:|:-----:|:---------------:|:------:|
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| 6.3673 | 3.17 | 1500 | 0.6104 | 0.1606 |
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| 0.656 | 6.33 | 3000 | 0.4318 | 0.1129 |
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| 0.4729 | 9.5 | 4500 | 0.4010 | 0.1028 |
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| 0.3789 | 12.66 | 6000 | 0.3867 | 0.0977 |
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| 0.3166 | 15.83 | 7500 | 0.3857 | 0.0936 |
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| 0.267 | 18.99 | 9000 | 0.3891 | 0.0912 |
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| 0.2286 | 22.16 | 10500 | 0.4074 | 0.0910 |
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| 0.1967 | 25.32 | 12000 | 0.4079 | 0.0878 |
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| 0.1712 | 28.49 | 13500 | 0.4289 | 0.0865 |
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| 0.1493 | 31.65 | 15000 | 0.4456 | 0.0850 |
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| 0.1333 | 34.82 | 16500 | 0.4573 | 0.0843 |
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| 0.1191 | 37.98 | 18000 | 0.4633 | 0.0833 |
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### Framework versions
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- Transformers 4.34.0
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- Pytorch 2.0.1+cu117
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- Datasets 2.14.5
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- Tokenizers 0.14.0
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added_tokens.json
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{
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"</s>": 1306,
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"<s>": 1305,
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"[PAD]": 1304,
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"[UNK]": 1303
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}
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all_results.json
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{
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"epoch": 39.93,
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"eval_cer": 0.08284064705168438,
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"eval_loss": 0.465082585811615,
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"eval_runtime": 145.5339,
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"eval_samples": 3770,
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"eval_samples_per_second": 25.905,
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"eval_steps_per_second": 3.243,
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"train_loss": 0.7552054080600215,
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"train_runtime": 32439.3262,
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"train_samples": 30324,
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"train_samples_per_second": 37.392,
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"train_steps_per_second": 0.583
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}
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checkpoint-18000/added_tokens.json
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{
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"</s>": 1306,
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"<s>": 1305,
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"[PAD]": 1304,
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"[UNK]": 1303
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}
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checkpoint-18000/config.json
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{
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"_name_or_path": "facebook/wav2vec2-large-xlsr-53",
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"activation_dropout": 0.0,
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"adapter_attn_dim": null,
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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": 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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| 45 |
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"ctc_loss_reduction": "mean",
|
| 46 |
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"ctc_zero_infinity": false,
|
| 47 |
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"diversity_loss_weight": 0.1,
|
| 48 |
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"do_stable_layer_norm": true,
|
| 49 |
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"eos_token_id": 2,
|
| 50 |
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"feat_extract_activation": "gelu",
|
| 51 |
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"feat_extract_dropout": 0.0,
|
| 52 |
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"feat_extract_norm": "layer",
|
| 53 |
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"feat_proj_dropout": 0.05,
|
| 54 |
+
"feat_quantizer_dropout": 0.0,
|
| 55 |
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"final_dropout": 0.0,
|
| 56 |
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"gradient_checkpointing": false,
|
| 57 |
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"hidden_act": "gelu",
|
| 58 |
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"hidden_dropout": 0.05,
|
| 59 |
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"hidden_size": 1024,
|
| 60 |
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"initializer_range": 0.02,
|
| 61 |
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"intermediate_size": 4096,
|
| 62 |
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"layer_norm_eps": 1e-05,
|
| 63 |
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"layerdrop": 0.05,
|
| 64 |
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"mask_channel_length": 10,
|
| 65 |
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"mask_channel_min_space": 1,
|
| 66 |
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"mask_channel_other": 0.0,
|
| 67 |
+
"mask_channel_prob": 0.0,
|
| 68 |
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"mask_channel_selection": "static",
|
| 69 |
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"mask_feature_length": 10,
|
| 70 |
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"mask_feature_min_masks": 0,
|
| 71 |
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"mask_feature_prob": 0.0,
|
| 72 |
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"mask_time_length": 10,
|
| 73 |
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"mask_time_min_masks": 2,
|
| 74 |
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"mask_time_min_space": 1,
|
| 75 |
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"mask_time_other": 0.0,
|
| 76 |
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"mask_time_prob": 0.05,
|
| 77 |
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"mask_time_selection": "static",
|
| 78 |
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"model_type": "wav2vec2",
|
| 79 |
+
"num_adapter_layers": 3,
|
| 80 |
+
"num_attention_heads": 16,
|
| 81 |
+
"num_codevector_groups": 2,
|
| 82 |
+
"num_codevectors_per_group": 320,
|
| 83 |
+
"num_conv_pos_embedding_groups": 16,
|
| 84 |
+
"num_conv_pos_embeddings": 128,
|
| 85 |
+
"num_feat_extract_layers": 7,
|
| 86 |
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"num_hidden_layers": 24,
|
| 87 |
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"num_negatives": 100,
|
| 88 |
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"output_hidden_size": 1024,
|
| 89 |
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"pad_token_id": 1304,
|
| 90 |
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"proj_codevector_dim": 768,
|
| 91 |
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"tdnn_dilation": [
|
| 92 |
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1,
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| 93 |
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2,
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| 94 |
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3,
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| 95 |
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1,
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| 96 |
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1
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],
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| 98 |
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"tdnn_dim": [
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512,
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| 100 |
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512,
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| 101 |
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512,
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| 102 |
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512,
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| 103 |
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],
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| 105 |
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"tdnn_kernel": [
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| 106 |
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| 107 |
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|
| 108 |
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3,
|
| 109 |
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1,
|
| 110 |
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1
|
| 111 |
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],
|
| 112 |
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"torch_dtype": "float32",
|
| 113 |
+
"transformers_version": "4.34.0",
|
| 114 |
+
"use_weighted_layer_sum": false,
|
| 115 |
+
"vocab_size": 1307,
|
| 116 |
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"xvector_output_dim": 512
|
| 117 |
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}
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checkpoint-18000/optimizer.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:6a80a37b117b3c5b68af3d73550556525501cc3b5c78f416f89b6f3a80643d01
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size 2500876673
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checkpoint-18000/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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"processor_class": "Wav2Vec2Processor",
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"return_attention_mask": true,
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"sampling_rate": 16000
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}
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checkpoint-18000/pytorch_model.bin
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checkpoint-18000/rng_state_0.pth
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checkpoint-18000/rng_state_1.pth
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| 183 |
+
"epoch": 37.98,
|
| 184 |
+
"eval_cer": 0.08327409539331103,
|
| 185 |
+
"eval_loss": 0.4633271098136902,
|
| 186 |
+
"eval_runtime": 146.5025,
|
| 187 |
+
"eval_samples_per_second": 25.733,
|
| 188 |
+
"eval_steps_per_second": 3.222,
|
| 189 |
+
"step": 18000
|
| 190 |
+
}
|
| 191 |
+
],
|
| 192 |
+
"logging_steps": 1500,
|
| 193 |
+
"max_steps": 18920,
|
| 194 |
+
"num_train_epochs": 40,
|
| 195 |
+
"save_steps": 1500,
|
| 196 |
+
"total_flos": 1.471168372274983e+20,
|
| 197 |
+
"trial_name": null,
|
| 198 |
+
"trial_params": null
|
| 199 |
+
}
|
checkpoint-18000/training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
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|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:48d5f3039b4a123f11e73fa4074522ca28a0ebf7f49ac919e5861060be565c18
|
| 3 |
+
size 4027
|
checkpoint-18000/vocab.json
ADDED
|
@@ -0,0 +1,1307 @@
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|
| 1 |
+
{
|
| 2 |
+
"\"": 1,
|
| 3 |
+
"0": 2,
|
| 4 |
+
"1": 3,
|
| 5 |
+
"2": 4,
|
| 6 |
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"3": 5,
|
| 7 |
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"4": 6,
|
| 8 |
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"5": 7,
|
| 9 |
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"6": 8,
|
| 10 |
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"7": 9,
|
| 11 |
+
"8": 10,
|
| 12 |
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"9": 11,
|
| 13 |
+
"[PAD]": 1304,
|
| 14 |
+
"[UNK]": 1303,
|
| 15 |
+
"a": 12,
|
| 16 |
+
"b": 13,
|
| 17 |
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"c": 14,
|
| 18 |
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"d": 15,
|
| 19 |
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"e": 16,
|
| 20 |
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|
| 21 |
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"g": 18,
|
| 22 |
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"h": 19,
|
| 23 |
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"i": 20,
|
| 24 |
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"k": 21,
|
| 25 |
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"l": 22,
|
| 26 |
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"m": 23,
|
| 27 |
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"n": 24,
|
| 28 |
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"o": 25,
|
| 29 |
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"p": 26,
|
| 30 |
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"r": 27,
|
| 31 |
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"s": 28,
|
| 32 |
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"t": 29,
|
| 33 |
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"u": 30,
|
| 34 |
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"v": 31,
|
| 35 |
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"w": 32,
|
| 36 |
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"x": 33,
|
| 37 |
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"y": 34,
|
| 38 |
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"|": 0,
|
| 39 |
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|
| 40 |
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|
| 41 |
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|
| 42 |
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|
| 43 |
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|
| 44 |
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|
| 45 |
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|
| 46 |
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"ㅋ": 42,
|
| 47 |
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"가": 43,
|
| 48 |
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"각": 44,
|
| 49 |
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"간": 45,
|
| 50 |
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"갈": 46,
|
| 51 |
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"감": 47,
|
| 52 |
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|
| 53 |
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"값": 49,
|
| 54 |
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|
| 55 |
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|
| 56 |
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|
| 57 |
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"갖": 53,
|
| 58 |
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"같": 54,
|
| 59 |
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"갚": 55,
|
| 60 |
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"갛": 56,
|
| 61 |
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"개": 57,
|
| 62 |
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|
| 63 |
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"갠": 59,
|
| 64 |
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|
| 65 |
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|
| 66 |
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|
| 67 |
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|
| 68 |
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|
| 69 |
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|
| 70 |
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|
| 71 |
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|
| 72 |
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|
| 73 |
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"검": 69,
|
| 74 |
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"겁": 70,
|
| 75 |
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"것": 71,
|
| 76 |
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"겉": 72,
|
| 77 |
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"겋": 73,
|
| 78 |
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"게": 74,
|
| 79 |
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"겐": 75,
|
| 80 |
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"겔": 76,
|
| 81 |
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"겠": 77,
|
| 82 |
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"겨": 78,
|
| 83 |
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"격": 79,
|
| 84 |
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"겪": 80,
|
| 85 |
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"견": 81,
|
| 86 |
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"결": 82,
|
| 87 |
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"겸": 83,
|
| 88 |
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"겹": 84,
|
| 89 |
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"겼": 85,
|
| 90 |
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"경": 86,
|
| 91 |
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"곁": 87,
|
| 92 |
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"계": 88,
|
| 93 |
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"곘": 89,
|
| 94 |
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"고": 90,
|
| 95 |
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"곡": 91,
|
| 96 |
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"곤": 92,
|
| 97 |
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"곧": 93,
|
| 98 |
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"골": 94,
|
| 99 |
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"곰": 95,
|
| 100 |
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"곱": 96,
|
| 101 |
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"곳": 97,
|
| 102 |
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"공": 98,
|
| 103 |
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"과": 99,
|
| 104 |
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"관": 100,
|
| 105 |
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|
| 106 |
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|
| 107 |
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|
| 108 |
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|
| 109 |
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|
| 110 |
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|
| 111 |
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"굥": 107,
|
| 112 |
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|
| 113 |
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|
| 114 |
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|
| 115 |
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|
| 116 |
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|
| 117 |
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|
| 118 |
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| 119 |
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| 120 |
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| 121 |
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|
| 122 |
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|
| 123 |
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| 124 |
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| 125 |
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| 126 |
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| 127 |
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| 128 |
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| 129 |
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"그": 125,
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| 130 |
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| 131 |
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| 132 |
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| 133 |
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| 134 |
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|
| 135 |
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|
| 136 |
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|
| 137 |
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| 138 |
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"긍": 134,
|
| 139 |
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"긎": 135,
|
| 140 |
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"긓": 136,
|
| 141 |
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"기": 137,
|
| 142 |
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"긴": 138,
|
| 143 |
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"길": 139,
|
| 144 |
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"김": 140,
|
| 145 |
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| 146 |
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| 147 |
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| 148 |
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| 149 |
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|
| 150 |
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|
| 151 |
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|
| 152 |
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|
| 153 |
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|
| 154 |
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|
| 155 |
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|
| 156 |
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|
| 157 |
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|
| 158 |
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|
| 159 |
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|
| 160 |
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|
| 161 |
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|
| 162 |
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| 163 |
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|
| 164 |
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|
| 165 |
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|
| 166 |
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|
| 167 |
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|
| 168 |
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|
| 169 |
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|
| 170 |
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|
| 171 |
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|
| 172 |
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|
| 173 |
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|
| 174 |
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|
| 175 |
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|
| 176 |
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|
| 177 |
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|
| 178 |
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|
| 179 |
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|
| 180 |
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|
| 181 |
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|
| 182 |
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|
| 183 |
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|
| 184 |
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|
| 185 |
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|
| 186 |
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|
| 187 |
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|
| 188 |
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|
| 189 |
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|
| 190 |
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|
| 191 |
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|
| 192 |
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|
| 193 |
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|
| 194 |
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|
| 195 |
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|
| 196 |
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|
| 197 |
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|
| 198 |
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|
| 199 |
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|
| 200 |
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|
| 201 |
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|
| 202 |
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|
| 203 |
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|
| 204 |
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|
| 205 |
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|
| 206 |
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|
| 207 |
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|
| 208 |
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|
| 209 |
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| 566 |
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| 572 |
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| 573 |
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| 581 |
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|
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|
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|
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|
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|
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|
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|
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|
| 1262 |
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|
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|
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|
| 1265 |
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|
| 1266 |
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|
| 1267 |
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|
| 1268 |
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|
| 1269 |
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|
| 1270 |
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|
| 1271 |
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|
| 1272 |
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|
| 1273 |
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|
| 1274 |
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|
| 1275 |
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|
| 1276 |
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|
| 1277 |
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|
| 1278 |
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|
| 1279 |
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|
| 1280 |
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|
| 1281 |
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|
| 1282 |
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|
| 1283 |
+
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|
| 1284 |
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|
| 1285 |
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|
| 1286 |
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|
| 1287 |
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|
| 1288 |
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|
| 1289 |
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|
| 1290 |
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|
| 1291 |
+
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|
| 1292 |
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|
| 1293 |
+
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|
| 1294 |
+
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|
| 1295 |
+
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|
| 1296 |
+
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|
| 1297 |
+
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|
| 1298 |
+
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|
| 1299 |
+
"흥": 1295,
|
| 1300 |
+
"흩": 1296,
|
| 1301 |
+
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|
| 1302 |
+
"흰": 1298,
|
| 1303 |
+
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|
| 1304 |
+
"힌": 1300,
|
| 1305 |
+
"힐": 1301,
|
| 1306 |
+
"힘": 1302
|
| 1307 |
+
}
|
config.json
ADDED
|
@@ -0,0 +1,117 @@
|
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|
|
|
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|
|
|
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|
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|
|
|
|
|
|
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|
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|
|
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|
|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
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|
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|
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|
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|
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|
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|
|
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|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_name_or_path": "facebook/wav2vec2-large-xlsr-53",
|
| 3 |
+
"activation_dropout": 0.0,
|
| 4 |
+
"adapter_attn_dim": null,
|
| 5 |
+
"adapter_kernel_size": 3,
|
| 6 |
+
"adapter_stride": 2,
|
| 7 |
+
"add_adapter": false,
|
| 8 |
+
"apply_spec_augment": true,
|
| 9 |
+
"architectures": [
|
| 10 |
+
"Wav2Vec2ForCTC"
|
| 11 |
+
],
|
| 12 |
+
"attention_dropout": 0.1,
|
| 13 |
+
"bos_token_id": 1,
|
| 14 |
+
"classifier_proj_size": 256,
|
| 15 |
+
"codevector_dim": 768,
|
| 16 |
+
"contrastive_logits_temperature": 0.1,
|
| 17 |
+
"conv_bias": true,
|
| 18 |
+
"conv_dim": [
|
| 19 |
+
512,
|
| 20 |
+
512,
|
| 21 |
+
512,
|
| 22 |
+
512,
|
| 23 |
+
512,
|
| 24 |
+
512,
|
| 25 |
+
512
|
| 26 |
+
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| 27 |
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| 28 |
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| 29 |
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| 32 |
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| 33 |
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eval_results.json
ADDED
|
@@ -0,0 +1,9 @@
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{
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| 9 |
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preprocessor_config.json
ADDED
|
@@ -0,0 +1,10 @@
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{
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"do_normalize": true,
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"feature_extractor_type": "Wav2Vec2FeatureExtractor",
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| 4 |
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"feature_size": 1,
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pytorch_model.bin
ADDED
|
@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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size 1267260525
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special_tokens_map.json
ADDED
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@@ -0,0 +1,10 @@
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{
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"additional_special_tokens": [
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| 10 |
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tokenizer_config.json
ADDED
|
@@ -0,0 +1,56 @@
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| 3 |
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| 6 |
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| 7 |
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| 8 |
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| 9 |
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| 10 |
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| 12 |
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| 14 |
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| 15 |
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| 16 |
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| 17 |
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| 18 |
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| 19 |
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| 20 |
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| 21 |
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| 22 |
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| 23 |
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|
| 24 |
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| 25 |
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| 26 |
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| 28 |
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"content": "</s>",
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| 29 |
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|
| 30 |
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| 31 |
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| 32 |
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|
| 33 |
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|
| 34 |
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}
|
| 35 |
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},
|
| 36 |
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"additional_special_tokens": [
|
| 37 |
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|
| 38 |
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"</s>"
|
| 39 |
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],
|
| 40 |
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| 41 |
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| 42 |
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| 55 |
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| 56 |
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train_results.json
ADDED
|
@@ -0,0 +1,8 @@
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trainer_state.json
ADDED
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@@ -0,0 +1,208 @@
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training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
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| 1 |
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version https://git-lfs.github.com/spec/v1
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oid sha256:48d5f3039b4a123f11e73fa4074522ca28a0ebf7f49ac919e5861060be565c18
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size 4027
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vocab.json
ADDED
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@@ -0,0 +1,1307 @@
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|
| 1 |
+
{
|
| 2 |
+
"\"": 1,
|
| 3 |
+
"0": 2,
|
| 4 |
+
"1": 3,
|
| 5 |
+
"2": 4,
|
| 6 |
+
"3": 5,
|
| 7 |
+
"4": 6,
|
| 8 |
+
"5": 7,
|
| 9 |
+
"6": 8,
|
| 10 |
+
"7": 9,
|
| 11 |
+
"8": 10,
|
| 12 |
+
"9": 11,
|
| 13 |
+
"[PAD]": 1304,
|
| 14 |
+
"[UNK]": 1303,
|
| 15 |
+
"a": 12,
|
| 16 |
+
"b": 13,
|
| 17 |
+
"c": 14,
|
| 18 |
+
"d": 15,
|
| 19 |
+
"e": 16,
|
| 20 |
+
"f": 17,
|
| 21 |
+
"g": 18,
|
| 22 |
+
"h": 19,
|
| 23 |
+
"i": 20,
|
| 24 |
+
"k": 21,
|
| 25 |
+
"l": 22,
|
| 26 |
+
"m": 23,
|
| 27 |
+
"n": 24,
|
| 28 |
+
"o": 25,
|
| 29 |
+
"p": 26,
|
| 30 |
+
"r": 27,
|
| 31 |
+
"s": 28,
|
| 32 |
+
"t": 29,
|
| 33 |
+
"u": 30,
|
| 34 |
+
"v": 31,
|
| 35 |
+
"w": 32,
|
| 36 |
+
"x": 33,
|
| 37 |
+
"y": 34,
|
| 38 |
+
"|": 0,
|
| 39 |
+
"ㄱ": 35,
|
| 40 |
+
"ㄴ": 36,
|
| 41 |
+
"ㄹ": 37,
|
| 42 |
+
"ㅁ": 38,
|
| 43 |
+
"ㅅ": 39,
|
| 44 |
+
"ㅇ": 40,
|
| 45 |
+
"ㅈ": 41,
|
| 46 |
+
"ㅋ": 42,
|
| 47 |
+
"가": 43,
|
| 48 |
+
"각": 44,
|
| 49 |
+
"간": 45,
|
| 50 |
+
"갈": 46,
|
| 51 |
+
"감": 47,
|
| 52 |
+
"갑": 48,
|
| 53 |
+
"값": 49,
|
| 54 |
+
"갓": 50,
|
| 55 |
+
"갔": 51,
|
| 56 |
+
"강": 52,
|
| 57 |
+
"갖": 53,
|
| 58 |
+
"같": 54,
|
| 59 |
+
"갚": 55,
|
| 60 |
+
"갛": 56,
|
| 61 |
+
"개": 57,
|
| 62 |
+
"객": 58,
|
| 63 |
+
"갠": 59,
|
| 64 |
+
"갤": 60,
|
| 65 |
+
"갰": 61,
|
| 66 |
+
"걍": 62,
|
| 67 |
+
"걔": 63,
|
| 68 |
+
"거": 64,
|
| 69 |
+
"걱": 65,
|
| 70 |
+
"건": 66,
|
| 71 |
+
"걷": 67,
|
| 72 |
+
"걸": 68,
|
| 73 |
+
"검": 69,
|
| 74 |
+
"겁": 70,
|
| 75 |
+
"것": 71,
|
| 76 |
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"겉": 72,
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
| 454 |
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|
| 456 |
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|
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|
| 459 |
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| 460 |
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|
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|
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|
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|
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|
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|
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|
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|
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|
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