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Model: syp1229/wav2vec2-large-xls-r-300m-korean_y_freq Source: Original Platform
2026-05-19 02:28:43 +08:00
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--- a/README.md
+++ b/README.md
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+---
+license: apache-2.0
+base_model: facebook/wav2vec2-xls-r-300m
+tags:
+- generated_from_trainer
+model-index:
+- name: wav2vec2-large-xls-r-300m-korean_y_freq
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# wav2vec2-large-xls-r-300m-korean_y_freq
+
+This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4522
+- Cer: 13.5023
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 0.0001
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 100
+- num_epochs: 5
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Cer     |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|
+| 35.2803       | 0.13  | 200  | 5.5453          | 100.0   |
+| 4.6452        | 0.26  | 400  | 4.6065          | 100.0   |
+| 4.5568        | 0.39  | 600  | 4.5732          | 97.9643 |
+| 4.492         | 0.52  | 800  | 4.5091          | 97.9643 |
+| 4.343         | 0.64  | 1000 | 4.2369          | 95.5012 |
+| 3.3778        | 0.77  | 1200 | 2.7151          | 49.3917 |
+| 2.4127        | 0.9   | 1400 | 2.2297          | 42.1509 |
+| 2.0113        | 1.03  | 1600 | 1.8500          | 35.5926 |
+| 1.7037        | 1.16  | 1800 | 1.5783          | 31.7942 |
+| 1.502         | 1.29  | 2000 | 1.4251          | 29.2184 |
+| 1.3376        | 1.42  | 2200 | 1.3812          | 30.4232 |
+| 1.2586        | 1.55  | 2400 | 1.1952          | 25.6751 |
+| 1.1415        | 1.68  | 2600 | 1.1614          | 25.8176 |
+| 1.0858        | 1.81  | 2800 | 1.0985          | 24.9154 |
+| 0.9846        | 1.93  | 3000 | 0.9985          | 21.8826 |
+| 0.9443        | 2.06  | 3200 | 0.8759          | 19.9359 |
+| 0.8298        | 2.19  | 3400 | 0.8549          | 19.5798 |
+| 0.8111        | 2.32  | 3600 | 0.8271          | 22.2506 |
+| 0.7507        | 2.45  | 3800 | 0.7808          | 20.9389 |
+| 0.7202        | 2.58  | 4000 | 0.7409          | 19.5323 |
+| 0.7121        | 2.71  | 4200 | 0.7139          | 18.5649 |
+| 0.6639        | 2.84  | 4400 | 0.6726          | 17.4669 |
+| 0.6595        | 2.97  | 4600 | 0.6830          | 16.6301 |
+| 0.6161        | 3.09  | 4800 | 0.6334          | 15.5677 |
+| 0.5604        | 3.22  | 5000 | 0.5943          | 14.4460 |
+| 0.5387        | 3.35  | 5200 | 0.6169          | 15.4727 |
+| 0.5317        | 3.48  | 5400 | 0.5831          | 15.0751 |
+| 0.5171        | 3.61  | 5600 | 0.5414          | 14.3807 |
+| 0.5           | 3.74  | 5800 | 0.5307          | 14.1789 |
+| 0.4888        | 3.87  | 6000 | 0.5171          | 14.4875 |
+| 0.4826        | 4.0   | 6200 | 0.5011          | 13.9712 |
+| 0.4311        | 4.13  | 6400 | 0.5131          | 14.2679 |
+| 0.4178        | 4.26  | 6600 | 0.4929          | 14.0364 |
+| 0.3999        | 4.38  | 6800 | 0.4791          | 14.3451 |
+| 0.4029        | 4.51  | 7000 | 0.4885          | 13.8584 |
+| 0.3922        | 4.64  | 7200 | 0.4759          | 14.2323 |
+| 0.3804        | 4.77  | 7400 | 0.4584          | 13.6091 |
+| 0.3748        | 4.9   | 7600 | 0.4522          | 13.5023 |
+
+
+### Framework versions
+
+- Transformers 4.35.2
+- Pytorch 2.1.0+cu121
+- Datasets 2.16.0
+- Tokenizers 0.15.0
--- a/added_tokens.json
+++ b/added_tokens.json
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+  "<s>": 1285
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--- a/config.json
+++ b/config.json
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+{
+  "_name_or_path": "facebook/wav2vec2-xls-r-300m",
+  "activation_dropout": 0.0,
+  "adapter_attn_dim": null,
+  "adapter_kernel_size": 3,
+  "adapter_stride": 2,
+  "add_adapter": false,
+  "apply_spec_augment": true,
+  "architectures": [
+    "Wav2Vec2ForCTC"
+  ],
+  "attention_dropout": 0.0,
+  "bos_token_id": 1,
+  "classifier_proj_size": 256,
+  "codevector_dim": 768,
+  "contrastive_logits_temperature": 0.1,
+  "conv_bias": true,
+  "conv_dim": [
+    512,
+    512,
+    512,
+    512,
+    512,
+    512,
+    512
+  ],
+  "conv_kernel": [
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+    3,
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+    2,
+    2
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+  "conv_stride": [
+    5,
+    2,
+    2,
+    2,
+    2,
+    2,
+    2
+  ],
+  "ctc_loss_reduction": "mean",
+  "ctc_zero_infinity": false,
+  "diversity_loss_weight": 0.1,
+  "do_stable_layer_norm": true,
+  "eos_token_id": 2,
+  "feat_extract_activation": "gelu",
+  "feat_extract_dropout": 0.0,
+  "feat_extract_norm": "layer",
+  "feat_proj_dropout": 0.0,
+  "feat_quantizer_dropout": 0.0,
+  "final_dropout": 0.0,
+  "gradient_checkpointing": false,
+  "hidden_act": "gelu",
+  "hidden_dropout": 0.0,
+  "hidden_size": 1024,
+  "initializer_range": 0.02,
+  "intermediate_size": 4096,
+  "layer_norm_eps": 1e-05,
+  "layerdrop": 0.0,
+  "mask_feature_length": 10,
+  "mask_feature_min_masks": 0,
+  "mask_feature_prob": 0.05,
+  "mask_time_length": 10,
+  "mask_time_min_masks": 2,
+  "mask_time_prob": 0.05,
+  "model_type": "wav2vec2",
+  "num_adapter_layers": 3,
+  "num_attention_heads": 16,
+  "num_codevector_groups": 2,
+  "num_codevectors_per_group": 320,
+  "num_conv_pos_embedding_groups": 16,
+  "num_conv_pos_embeddings": 128,
+  "num_feat_extract_layers": 7,
+  "num_hidden_layers": 24,
+  "num_negatives": 100,
+  "output_hidden_size": 1024,
+  "pad_token_id": 1284,
+  "proj_codevector_dim": 768,
+  "tdnn_dilation": [
+    1,
+    2,
+    3,
+    1,
+    1
+  ],
+  "tdnn_dim": [
+    512,
+    512,
+    512,
+    512,
+    1500
+  ],
+  "tdnn_kernel": [
+    5,
+    3,
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+    1
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+  "torch_dtype": "float32",
+  "transformers_version": "4.35.2",
+  "use_weighted_layer_sum": false,
+  "vocab_size": 1287,
+  "xvector_output_dim": 512
+}
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+  "sampling_rate": 16000
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