End of training
Browse files- README.md +72 -0
- all_results.json +9 -0
- config.json +116 -0
- model.safetensors +3 -0
- preprocessor_config.json +10 -0
- special_tokens_map.json +30 -0
- tokenizer_config.json +48 -0
- train_results.json +9 -0
- trainer_state.json +178 -0
- training_args.bin +3 -0
- vocab.json +42 -0
README.md
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---
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base_model: lnxdx/21_2500_1e-4_hp-mehrdad
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tags:
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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: 2_1000_1e-5_hp-mehrdad
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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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# 2_1000_1e-5_hp-mehrdad
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This model is a fine-tuned version of [lnxdx/21_2500_1e-4_hp-mehrdad](https://huggingface.co/lnxdx/21_2500_1e-4_hp-mehrdad) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.6591
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- Wer: 0.3137
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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: 1e-05
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- train_batch_size: 8
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- eval_batch_size: 8
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- seed: 42
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- gradient_accumulation_steps: 2
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- total_train_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_steps: 500
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- training_steps: 1000
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Wer |
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|:-------------:|:-----:|:----:|:---------------:|:------:|
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| 0.7624 | 0.62 | 100 | 0.6708 | 0.3236 |
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| 0.78 | 1.25 | 200 | 0.6668 | 0.3245 |
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| 0.7856 | 1.88 | 300 | 0.6600 | 0.3274 |
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| 0.7239 | 2.5 | 400 | 0.6672 | 0.3233 |
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| 0.7311 | 3.12 | 500 | 0.6748 | 0.3143 |
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| 0.7408 | 3.75 | 600 | 0.6518 | 0.3248 |
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| 0.713 | 4.38 | 700 | 0.6587 | 0.3178 |
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| 0.7068 | 5.0 | 800 | 0.6600 | 0.3172 |
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| 0.6938 | 5.62 | 900 | 0.6598 | 0.3157 |
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| 0.6809 | 6.25 | 1000 | 0.6591 | 0.3137 |
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### Framework versions
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- Transformers 4.35.2
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- Pytorch 2.1.0+cu118
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- Datasets 2.15.0
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- Tokenizers 0.15.0
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all_results.json
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{
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"epoch": 6.25,
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"total_flos": 4.798362622332561e+18,
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"train_loss": 0.7318317260742188,
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| 5 |
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"train_runtime": 4802.1983,
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| 6 |
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"train_samples": 2554,
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"train_samples_per_second": 3.332,
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"train_steps_per_second": 0.208
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}
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config.json
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{
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"_name_or_path": "lnxdx/21_2500_1e-4_hp-mehrdad",
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+
"activation_dropout": 0.09216,
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| 4 |
+
"adapter_attn_dim": null,
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| 5 |
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"adapter_kernel_size": 3,
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| 6 |
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"adapter_stride": 2,
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| 7 |
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"add_adapter": false,
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| 8 |
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"apply_spec_augment": true,
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"architectures": [
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| 10 |
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"Wav2Vec2ForCTC"
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+
],
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+
"attention_dropout": 0.05316,
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| 13 |
+
"bos_token_id": 1,
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| 14 |
+
"classifier_proj_size": 256,
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| 15 |
+
"codevector_dim": 256,
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+
"contrastive_logits_temperature": 0.1,
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"conv_bias": true,
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| 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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| 42 |
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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",
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| 46 |
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"ctc_zero_infinity": true,
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| 47 |
+
"diversity_loss_weight": 0.1,
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| 48 |
+
"do_stable_layer_norm": true,
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| 49 |
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"eos_token_id": 2,
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| 50 |
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"feat_extract_activation": "gelu",
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| 51 |
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"feat_extract_dropout": 0.0,
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| 52 |
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"feat_extract_norm": "layer",
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| 53 |
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"feat_proj_dropout": 0.01249,
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| 54 |
+
"feat_quantizer_dropout": 0.0,
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| 55 |
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"final_dropout": 0.0,
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| 56 |
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"hidden_act": "gelu",
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| 57 |
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"hidden_dropout": 0.01941,
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| 58 |
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"hidden_size": 1024,
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| 59 |
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"initializer_range": 0.02,
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| 60 |
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"intermediate_size": 4096,
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| 61 |
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"layer_norm_eps": 1e-05,
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| 62 |
+
"layerdrop": 0.01377,
|
| 63 |
+
"mask_channel_length": 10,
|
| 64 |
+
"mask_channel_min_space": 1,
|
| 65 |
+
"mask_channel_other": 0.0,
|
| 66 |
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"mask_channel_prob": 0.0,
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| 67 |
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"mask_channel_selection": "static",
|
| 68 |
+
"mask_feature_length": 10,
|
| 69 |
+
"mask_feature_min_masks": 0,
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| 70 |
+
"mask_feature_prob": 0.0,
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| 71 |
+
"mask_time_length": 10,
|
| 72 |
+
"mask_time_min_masks": 2,
|
| 73 |
+
"mask_time_min_space": 1,
|
| 74 |
+
"mask_time_other": 0.0,
|
| 75 |
+
"mask_time_prob": 0.04529,
|
| 76 |
+
"mask_time_selection": "static",
|
| 77 |
+
"model_type": "wav2vec2",
|
| 78 |
+
"num_adapter_layers": 3,
|
| 79 |
+
"num_attention_heads": 16,
|
| 80 |
+
"num_codevector_groups": 2,
|
| 81 |
+
"num_codevectors_per_group": 320,
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| 82 |
+
"num_conv_pos_embedding_groups": 16,
|
| 83 |
+
"num_conv_pos_embeddings": 128,
|
| 84 |
+
"num_feat_extract_layers": 7,
|
| 85 |
+
"num_hidden_layers": 24,
|
| 86 |
+
"num_negatives": 100,
|
| 87 |
+
"output_hidden_size": 1024,
|
| 88 |
+
"pad_token_id": 0,
|
| 89 |
+
"proj_codevector_dim": 256,
|
| 90 |
+
"tdnn_dilation": [
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| 91 |
+
1,
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| 92 |
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2,
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| 93 |
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3,
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| 94 |
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1,
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| 95 |
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1
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| 96 |
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],
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| 97 |
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"tdnn_dim": [
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512,
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| 99 |
+
512,
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| 100 |
+
512,
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| 101 |
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512,
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| 102 |
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1500
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| 103 |
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],
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| 104 |
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"tdnn_kernel": [
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| 105 |
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5,
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| 106 |
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3,
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| 107 |
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3,
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| 108 |
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1,
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| 109 |
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1
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| 110 |
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],
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| 111 |
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"torch_dtype": "float32",
|
| 112 |
+
"transformers_version": "4.35.2",
|
| 113 |
+
"use_weighted_layer_sum": false,
|
| 114 |
+
"vocab_size": 40,
|
| 115 |
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"xvector_output_dim": 512
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| 116 |
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}
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:527a5d9eb2e7e65afd40dbff0c019dde19d4311e45df87899b6384e05c0e0a9f
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| 3 |
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size 1261971480
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preprocessor_config.json
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{
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| 2 |
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"do_normalize": true,
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| 3 |
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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",
|
| 6 |
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"padding_value": 0.0,
|
| 7 |
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"processor_class": "Wav2Vec2Processor",
|
| 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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special_tokens_map.json
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{
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| 2 |
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"bos_token": {
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| 3 |
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"content": "<s>",
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| 4 |
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"lstrip": true,
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| 5 |
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"normalized": false,
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| 6 |
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"rstrip": true,
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| 7 |
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"single_word": false
|
| 8 |
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},
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| 9 |
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"eos_token": {
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| 10 |
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"content": "</s>",
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| 11 |
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"lstrip": true,
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| 12 |
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"normalized": false,
|
| 13 |
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"rstrip": true,
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| 14 |
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"single_word": false
|
| 15 |
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},
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| 16 |
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"pad_token": {
|
| 17 |
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"content": "<pad>",
|
| 18 |
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"lstrip": true,
|
| 19 |
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"normalized": false,
|
| 20 |
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"rstrip": true,
|
| 21 |
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"single_word": false
|
| 22 |
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},
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| 23 |
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"unk_token": {
|
| 24 |
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"content": "<unk>",
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| 25 |
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"lstrip": true,
|
| 26 |
+
"normalized": false,
|
| 27 |
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"rstrip": true,
|
| 28 |
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"single_word": false
|
| 29 |
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}
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| 30 |
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}
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tokenizer_config.json
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| 1 |
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{
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| 2 |
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"added_tokens_decoder": {
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| 3 |
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"0": {
|
| 4 |
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"content": "<pad>",
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| 5 |
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"lstrip": true,
|
| 6 |
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"normalized": false,
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| 7 |
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"rstrip": true,
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| 8 |
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"single_word": false,
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| 9 |
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"special": false
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| 10 |
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},
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| 11 |
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"1": {
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| 12 |
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"content": "<s>",
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| 13 |
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"lstrip": true,
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| 14 |
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"normalized": false,
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| 15 |
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"rstrip": true,
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