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Browse files- README.md +78 -0
- added_tokens.json +4 -0
- all_results.json +22 -0
- checkpoint-6000/added_tokens.json +4 -0
- checkpoint-6000/config.json +117 -0
- checkpoint-6000/optimizer.pt +3 -0
- checkpoint-6000/preprocessor_config.json +10 -0
- checkpoint-6000/pytorch_model.bin +3 -0
- checkpoint-6000/rng_state_0.pth +3 -0
- checkpoint-6000/rng_state_1.pth +3 -0
- checkpoint-6000/rng_state_2.pth +3 -0
- checkpoint-6000/rng_state_3.pth +3 -0
- checkpoint-6000/scheduler.pt +3 -0
- checkpoint-6000/special_tokens_map.json +30 -0
- checkpoint-6000/tokenizer_config.json +51 -0
- checkpoint-6000/trainer_state.json +479 -0
- checkpoint-6000/training_args.bin +3 -0
- checkpoint-6000/vocab.json +33 -0
- config.json +117 -0
- eval_results.json +10 -0
- predict_results.json +9 -0
- preprocessor_config.json +10 -0
- pytorch_model.bin +3 -0
- special_tokens_map.json +30 -0
- tokenizer_config.json +51 -0
- train_results.json +8 -0
- trainer_state.json +512 -0
- training_args.bin +3 -0
- vocab.json +33 -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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metrics:
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- wer
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model-index:
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- name: en-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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# en-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: 0.5356
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- Cer: 0.0853
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- Wer: 0.1884
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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: 4
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- eval_batch_size: 4
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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: 4
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- total_train_batch_size: 64
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- total_eval_batch_size: 16
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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: 0.01
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- num_epochs: 30
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Cer | Wer |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|
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| 0.7055 | 2.79 | 600 | 0.4911 | 0.1304 | 0.3308 |
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| 0.3761 | 5.58 | 1200 | 0.3984 | 0.1053 | 0.2533 |
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| 0.278 | 8.37 | 1800 | 0.4070 | 0.1024 | 0.2445 |
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| 0.2196 | 11.16 | 2400 | 0.4033 | 0.0974 | 0.2243 |
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| 0.1842 | 13.95 | 3000 | 0.4270 | 0.0928 | 0.2106 |
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| 0.1533 | 16.74 | 3600 | 0.4582 | 0.0916 | 0.2071 |
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| 0.1257 | 19.53 | 4200 | 0.4685 | 0.0901 | 0.2001 |
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| 0.1071 | 22.33 | 4800 | 0.5088 | 0.0878 | 0.1965 |
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| 0.0967 | 25.12 | 5400 | 0.5224 | 0.0872 | 0.1913 |
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| 0.0839 | 27.91 | 6000 | 0.5379 | 0.0860 | 0.1885 |
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### Framework versions
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- Transformers 4.34.1
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- Pytorch 2.1.0+cu121
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- Datasets 2.14.5
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- Tokenizers 0.14.1
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added_tokens.json
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{
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"</s>": 32,
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"<s>": 31
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}
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all_results.json
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{
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"epoch": 30.0,
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"eval_cer": 0.08527604538236716,
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"eval_loss": 0.5355803966522217,
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"eval_runtime": 22.6405,
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"eval_samples": 1738,
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"eval_samples_per_second": 76.765,
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"eval_steps_per_second": 4.814,
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"eval_wer": 0.1883994045321718,
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"predict_cer": 0.08440944163940779,
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"predict_loss": 0.5752244591712952,
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"predict_runtime": 23.6187,
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"predict_samples": 1744,
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"predict_samples_per_second": 73.84,
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"predict_steps_per_second": 4.615,
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"predict_wer": 0.18897939102388892,
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"train_loss": 0.38609544280887576,
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"train_runtime": 8570.1452,
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"train_samples": 13754,
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"train_samples_per_second": 48.146,
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"train_steps_per_second": 0.753
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}
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checkpoint-6000/added_tokens.json
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{
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"</s>": 32,
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"<s>": 31
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}
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checkpoint-6000/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": 0.025,
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| 13 |
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"bos_token_id": 1,
|
| 14 |
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"classifier_proj_size": 256,
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| 15 |
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"codevector_dim": 768,
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| 16 |
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"contrastive_logits_temperature": 0.1,
|
| 17 |
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"conv_bias": true,
|
| 18 |
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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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| 43 |
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2
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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 |
+
"feat_extract_dropout": 0.0,
|
| 52 |
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"feat_extract_norm": "layer",
|
| 53 |
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"feat_proj_dropout": 0.025,
|
| 54 |
+
"feat_quantizer_dropout": 0.0,
|
| 55 |
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"final_dropout": 0.0,
|
| 56 |
+
"gradient_checkpointing": false,
|
| 57 |
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"hidden_act": "gelu",
|
| 58 |
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"hidden_dropout": 0.025,
|
| 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": 0.025,
|
| 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 |
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"mask_channel_prob": 0.0,
|
| 68 |
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"mask_channel_selection": "static",
|
| 69 |
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"mask_feature_length": 10,
|
| 70 |
+
"mask_feature_min_masks": 0,
|
| 71 |
+
"mask_feature_prob": 0.0,
|
| 72 |
+
"mask_time_length": 10,
|
| 73 |
+
"mask_time_min_masks": 2,
|
| 74 |
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"mask_time_min_space": 1,
|
| 75 |
+
"mask_time_other": 0.0,
|
| 76 |
+
"mask_time_prob": 0.025,
|
| 77 |
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"mask_time_selection": "static",
|
| 78 |
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"model_type": "wav2vec2",
|
| 79 |
+
"num_adapter_layers": 3,
|
| 80 |
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"num_attention_heads": 16,
|
| 81 |
+
"num_codevector_groups": 2,
|
| 82 |
+
"num_codevectors_per_group": 320,
|
| 83 |
+
"num_conv_pos_embedding_groups": 16,
|
| 84 |
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"num_conv_pos_embeddings": 128,
|
| 85 |
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"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": 30,
|
| 90 |
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"proj_codevector_dim": 768,
|
| 91 |
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"tdnn_dilation": [
|
| 92 |
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1,
|
| 93 |
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2,
|
| 94 |
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3,
|
| 95 |
+
1,
|
| 96 |
+
1
|
| 97 |
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],
|
| 98 |
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"tdnn_dim": [
|
| 99 |
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512,
|
| 100 |
+
512,
|
| 101 |
+
512,
|
| 102 |
+
512,
|
| 103 |
+
1500
|
| 104 |
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],
|
| 105 |
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"tdnn_kernel": [
|
| 106 |
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5,
|
| 107 |
+
3,
|
| 108 |
+
3,
|
| 109 |
+
1,
|
| 110 |
+
1
|
| 111 |
+
],
|
| 112 |
+
"torch_dtype": "float32",
|
| 113 |
+
"transformers_version": "4.34.1",
|
| 114 |
+
"use_weighted_layer_sum": false,
|
| 115 |
+
"vocab_size": 33,
|
| 116 |
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"xvector_output_dim": 512
|
| 117 |
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}
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checkpoint-6000/optimizer.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:a1ff465a40bfc8f64554e85406c8aaa422de767961ffc30d97c86e5914f7104b
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size 2490430390
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checkpoint-6000/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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| 4 |
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"feature_size": 1,
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| 5 |
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"padding_side": "right",
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| 6 |
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"padding_value": 0,
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| 7 |
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"processor_class": "Wav2Vec2Processor",
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| 8 |
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"return_attention_mask": true,
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| 9 |
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"sampling_rate": 16000
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| 10 |
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}
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checkpoint-6000/pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:a15caa909d97e067ebc8d1fe07527af1986afd238535df66b355985f58adc460
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size 1262037674
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checkpoint-6000/rng_state_0.pth
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version https://git-lfs.github.com/spec/v1
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| 2 |
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checkpoint-6000/rng_state_1.pth
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checkpoint-6000/rng_state_2.pth
ADDED
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checkpoint-6000/rng_state_3.pth
ADDED
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version https://git-lfs.github.com/spec/v1
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checkpoint-6000/scheduler.pt
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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| 3 |
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size 1064
|
checkpoint-6000/special_tokens_map.json
ADDED
|
@@ -0,0 +1,30 @@
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|
| 1 |
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{
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| 2 |
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"bos_token": {
|
| 3 |
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| 4 |
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| 5 |
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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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| 11 |
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| 12 |
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| 13 |
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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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| 27 |
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|
| 28 |
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|
| 29 |
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|
| 30 |
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|
checkpoint-6000/tokenizer_config.json
ADDED
|
@@ -0,0 +1,51 @@
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| 1 |
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| 2 |
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"added_tokens_decoder": {
|
| 3 |
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|
| 4 |
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|
| 5 |
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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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|
| 11 |
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|
| 12 |
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|
| 13 |
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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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"single_word": false,
|
| 25 |
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"special": true
|
| 26 |
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|
| 27 |
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|
| 28 |
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|
| 29 |
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|
| 30 |
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"normalized": true,
|
| 31 |
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|
| 32 |
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"single_word": false,
|
| 33 |
+
"special": true
|
| 34 |
+
}
|
| 35 |
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|
| 36 |
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|
| 37 |
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|
| 38 |
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"config": null,
|
| 39 |
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|
| 40 |
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"eos_token": "</s>",
|
| 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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"tokenizer_class": "Wav2Vec2CTCTokenizer",
|
| 47 |
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"tokenizer_type": "wav2vec2",
|
| 48 |
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"trust_remote_code": false,
|
| 49 |
+
"unk_token": "[UNK]",
|
| 50 |
+
"word_delimiter_token": "|"
|
| 51 |
+
}
|
checkpoint-6000/trainer_state.json
ADDED
|
@@ -0,0 +1,479 @@
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| 1 |
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{
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| 2 |
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| 3 |
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| 4 |
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eval_results.json
ADDED
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predict_results.json
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preprocessor_config.json
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special_tokens_map.json
ADDED
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tokenizer_config.json
ADDED
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| 21 |
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| 26 |
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| 28 |
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| 29 |
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| 30 |
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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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train_results.json
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|
| 1 |
+
{
|
| 2 |
+
"\"": 1,
|
| 3 |
+
"-": 2,
|
| 4 |
+
"[PAD]": 30,
|
| 5 |
+
"[UNK]": 29,
|
| 6 |
+
"a": 3,
|
| 7 |
+
"b": 4,
|
| 8 |
+
"c": 5,
|
| 9 |
+
"d": 6,
|
| 10 |
+
"e": 7,
|
| 11 |
+
"f": 8,
|
| 12 |
+
"g": 9,
|
| 13 |
+
"h": 10,
|
| 14 |
+
"i": 11,
|
| 15 |
+
"j": 12,
|
| 16 |
+
"k": 13,
|
| 17 |
+
"l": 14,
|
| 18 |
+
"m": 15,
|
| 19 |
+
"n": 16,
|
| 20 |
+
"o": 17,
|
| 21 |
+
"p": 18,
|
| 22 |
+
"q": 19,
|
| 23 |
+
"r": 20,
|
| 24 |
+
"s": 21,
|
| 25 |
+
"t": 22,
|
| 26 |
+
"u": 23,
|
| 27 |
+
"v": 24,
|
| 28 |
+
"w": 25,
|
| 29 |
+
"x": 26,
|
| 30 |
+
"y": 27,
|
| 31 |
+
"z": 28,
|
| 32 |
+
"|": 0
|
| 33 |
+
}
|