From 37329a021c8092bd66b699349c2dfd1cbdc2ff50 Mon Sep 17 00:00:00 2001
From: ModelHub XC <noreply@modelhub.org.cn>
Date: Mon, 18 May 2026 18:21:58 +0800
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 =?UTF-8?q?=EF=BC=8C=E7=94=B1ModelHub=20XC=E7=A4=BE=E5=8C=BA=E6=8F=90?=
 =?UTF-8?q?=E4=BE=9B=E6=A8=A1=E5=9E=8B?=
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Model: yoon1000/ft_0123_korean
Source: Original Platform
---
 .gitattributes                                |   35 +
 README.md                                     |  309 ++++
 added_tokens.json                             |    4 +
 config.json                                   |  109 ++
 model.safetensors                             |    3 +
 preprocessor_config.json                      |    9 +
 ....tfevents.1705968887.DESKTOP-CE5K89C.356.0 |    3 +
 ...fevents.1705971152.DESKTOP-CE5K89C.15448.0 |    3 +
 ...tfevents.1705979801.DESKTOP-CE5K89C.1044.0 |    3 +
 special_tokens_map.json                       |    6 +
 tokenizer_config.json                         |   47 +
 training_args.bin                             |    3 +
 vocab.json                                    | 1299 +++++++++++++++++
 13 files changed, 1833 insertions(+)
 create mode 100644 .gitattributes
 create mode 100644 README.md
 create mode 100644 added_tokens.json
 create mode 100644 config.json
 create mode 100644 model.safetensors
 create mode 100644 preprocessor_config.json
 create mode 100644 runs/Jan23_08-59-42_DESKTOP-CE5K89C/events.out.tfevents.1705968887.DESKTOP-CE5K89C.356.0
 create mode 100644 runs/Jan23_09-42-45_DESKTOP-CE5K89C/events.out.tfevents.1705971152.DESKTOP-CE5K89C.15448.0
 create mode 100644 runs/Jan23_12-06-54_DESKTOP-CE5K89C/events.out.tfevents.1705979801.DESKTOP-CE5K89C.1044.0
 create mode 100644 special_tokens_map.json
 create mode 100644 tokenizer_config.json
 create mode 100644 training_args.bin
 create mode 100644 vocab.json

diff --git a/.gitattributes b/.gitattributes
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--- /dev/null
+++ b/.gitattributes
@@ -0,0 +1,35 @@
+*.7z filter=lfs diff=lfs merge=lfs -text
+*.arrow filter=lfs diff=lfs merge=lfs -text
+*.bin filter=lfs diff=lfs merge=lfs -text
+*.bz2 filter=lfs diff=lfs merge=lfs -text
+*.ckpt filter=lfs diff=lfs merge=lfs -text
+*.ftz filter=lfs diff=lfs merge=lfs -text
+*.gz filter=lfs diff=lfs merge=lfs -text
+*.h5 filter=lfs diff=lfs merge=lfs -text
+*.joblib filter=lfs diff=lfs merge=lfs -text
+*.lfs.* filter=lfs diff=lfs merge=lfs -text
+*.mlmodel filter=lfs diff=lfs merge=lfs -text
+*.model filter=lfs diff=lfs merge=lfs -text
+*.msgpack filter=lfs diff=lfs merge=lfs -text
+*.npy filter=lfs diff=lfs merge=lfs -text
+*.npz filter=lfs diff=lfs merge=lfs -text
+*.onnx filter=lfs diff=lfs merge=lfs -text
+*.ot filter=lfs diff=lfs merge=lfs -text
+*.parquet filter=lfs diff=lfs merge=lfs -text
+*.pb filter=lfs diff=lfs merge=lfs -text
+*.pickle filter=lfs diff=lfs merge=lfs -text
+*.pkl filter=lfs diff=lfs merge=lfs -text
+*.pt filter=lfs diff=lfs merge=lfs -text
+*.pth filter=lfs diff=lfs merge=lfs -text
+*.rar filter=lfs diff=lfs merge=lfs -text
+*.safetensors filter=lfs diff=lfs merge=lfs -text
+saved_model/**/* filter=lfs diff=lfs merge=lfs -text
+*.tar.* filter=lfs diff=lfs merge=lfs -text
+*.tar filter=lfs diff=lfs merge=lfs -text
+*.tflite filter=lfs diff=lfs merge=lfs -text
+*.tgz filter=lfs diff=lfs merge=lfs -text
+*.wasm filter=lfs diff=lfs merge=lfs -text
+*.xz filter=lfs diff=lfs merge=lfs -text
+*.zip filter=lfs diff=lfs merge=lfs -text
+*.zst filter=lfs diff=lfs merge=lfs -text
+*tfevents* filter=lfs diff=lfs merge=lfs -text
diff --git a/README.md b/README.md
new file mode 100644
index 0000000..b52c8b8
--- /dev/null
+++ b/README.md
@@ -0,0 +1,309 @@
+---
+license: apache-2.0
+base_model: facebook/wav2vec2-xls-r-300m
+tags:
+- generated_from_trainer
+model-index:
+- name: ft_0123_korean
+  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. -->
+
+# ft_0123_korean
+
+This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3699
+- Cer: 0.0865
+
+## 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: 20
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Cer    |
+|:-------------:|:-----:|:-----:|:---------------:|:------:|
+| 44.8594       | 0.08  | 100   | 44.3665         | 1.0    |
+| 12.9149       | 0.16  | 200   | 6.5429          | 1.0    |
+| 4.9281        | 0.24  | 300   | 5.0589          | 1.0    |
+| 4.7706        | 0.32  | 400   | 5.0132          | 1.0    |
+| 4.7775        | 0.4   | 500   | 4.9384          | 1.0    |
+| 4.7654        | 0.48  | 600   | 4.8867          | 1.0    |
+| 4.7027        | 0.56  | 700   | 4.8270          | 1.0    |
+| 4.6665        | 0.64  | 800   | 4.8539          | 1.0    |
+| 4.6345        | 0.72  | 900   | 4.7036          | 1.0    |
+| 4.5947        | 0.8   | 1000  | 4.6693          | 1.0    |
+| 4.5559        | 0.88  | 1100  | 4.5838          | 1.0    |
+| 4.4675        | 0.96  | 1200  | 4.4082          | 0.9829 |
+| 4.2824        | 1.04  | 1300  | 4.1135          | 0.9822 |
+| 3.974         | 1.12  | 1400  | 3.5638          | 0.8459 |
+| 3.4392        | 1.2   | 1500  | 2.9181          | 0.5621 |
+| 3.0379        | 1.28  | 1600  | 2.6116          | 0.5058 |
+| 2.8071        | 1.36  | 1700  | 2.3746          | 0.4765 |
+| 2.6047        | 1.44  | 1800  | 2.2212          | 0.4516 |
+| 2.4776        | 1.52  | 1900  | 2.0525          | 0.4275 |
+| 2.3004        | 1.6   | 2000  | 1.9099          | 0.4083 |
+| 2.2378        | 1.68  | 2100  | 1.8172          | 0.3878 |
+| 2.1651        | 1.76  | 2200  | 1.7322          | 0.3740 |
+| 2.0153        | 1.84  | 2300  | 1.6424          | 0.3547 |
+| 1.9648        | 1.92  | 2400  | 1.5879          | 0.3416 |
+| 1.8871        | 2.0   | 2500  | 1.5091          | 0.3311 |
+| 1.8132        | 2.08  | 2600  | 1.4359          | 0.3203 |
+| 1.7394        | 2.16  | 2700  | 1.3848          | 0.3193 |
+| 1.6906        | 2.24  | 2800  | 1.3468          | 0.3147 |
+| 1.6871        | 2.32  | 2900  | 1.3204          | 0.3095 |
+| 1.6068        | 2.4   | 3000  | 1.2524          | 0.2957 |
+| 1.5774        | 2.48  | 3100  | 1.2123          | 0.2852 |
+| 1.5225        | 2.56  | 3200  | 1.1677          | 0.2785 |
+| 1.4817        | 2.64  | 3300  | 1.1342          | 0.2727 |
+| 1.4742        | 2.72  | 3400  | 1.0920          | 0.2667 |
+| 1.4147        | 2.8   | 3500  | 1.0832          | 0.2616 |
+| 1.4332        | 2.88  | 3600  | 1.0515          | 0.2588 |
+| 1.3366        | 2.96  | 3700  | 1.0385          | 0.2558 |
+| 1.3334        | 3.04  | 3800  | 0.9847          | 0.2501 |
+| 1.277         | 3.12  | 3900  | 0.9959          | 0.2472 |
+| 1.2866        | 3.2   | 4000  | 0.9506          | 0.2386 |
+| 1.2299        | 3.28  | 4100  | 0.9189          | 0.2318 |
+| 1.2261        | 3.36  | 4200  | 0.8910          | 0.2289 |
+| 1.2111        | 3.44  | 4300  | 0.9037          | 0.2239 |
+| 1.1714        | 3.52  | 4400  | 0.8729          | 0.2209 |
+| 1.1327        | 3.6   | 4500  | 0.8688          | 0.2198 |
+| 1.177         | 3.68  | 4600  | 0.8230          | 0.2143 |
+| 1.1003        | 3.76  | 4700  | 0.8700          | 0.2196 |
+| 1.083         | 3.84  | 4800  | 0.7949          | 0.2027 |
+| 1.0884        | 3.92  | 4900  | 0.7844          | 0.2053 |
+| 1.0457        | 4.0   | 5000  | 0.7730          | 0.2015 |
+| 0.9918        | 4.08  | 5100  | 0.7647          | 0.1974 |
+| 1.0337        | 4.16  | 5200  | 0.7602          | 0.1962 |
+| 0.9958        | 4.24  | 5300  | 0.7328          | 0.1928 |
+| 0.9732        | 4.32  | 5400  | 0.7355          | 0.1924 |
+| 0.9486        | 4.4   | 5500  | 0.7216          | 0.1910 |
+| 0.9375        | 4.48  | 5600  | 0.7011          | 0.1880 |
+| 0.9509        | 4.56  | 5700  | 0.6768          | 0.1819 |
+| 0.9454        | 4.64  | 5800  | 0.6813          | 0.1805 |
+| 0.9493        | 4.72  | 5900  | 0.6705          | 0.1778 |
+| 0.9406        | 4.8   | 6000  | 0.6510          | 0.1755 |
+| 0.9441        | 4.88  | 6100  | 0.6461          | 0.1702 |
+| 0.9469        | 4.96  | 6200  | 0.6496          | 0.1755 |
+| 0.8764        | 5.04  | 6300  | 0.6510          | 0.1705 |
+| 0.8494        | 5.12  | 6400  | 0.6289          | 0.1694 |
+| 0.8175        | 5.2   | 6500  | 0.6184          | 0.1674 |
+| 0.8543        | 5.28  | 6600  | 0.6155          | 0.1655 |
+| 0.8571        | 5.36  | 6700  | 0.6156          | 0.1637 |
+| 0.8629        | 5.44  | 6800  | 0.6085          | 0.1626 |
+| 0.8203        | 5.52  | 6900  | 0.6037          | 0.1636 |
+| 0.8155        | 5.6   | 7000  | 0.5979          | 0.1625 |
+| 0.8114        | 5.68  | 7100  | 0.5817          | 0.1582 |
+| 0.7884        | 5.76  | 7200  | 0.6055          | 0.1633 |
+| 0.7826        | 5.84  | 7300  | 0.5757          | 0.1565 |
+| 0.7918        | 5.92  | 7400  | 0.5803          | 0.1562 |
+| 0.7835        | 6.0   | 7500  | 0.5714          | 0.1534 |
+| 0.717         | 6.08  | 7600  | 0.5784          | 0.1557 |
+| 0.726         | 6.16  | 7700  | 0.5566          | 0.1507 |
+| 0.7377        | 6.24  | 7800  | 0.5686          | 0.1561 |
+| 0.7187        | 6.32  | 7900  | 0.5505          | 0.1513 |
+| 0.7374        | 6.4   | 8000  | 0.5610          | 0.1528 |
+| 0.7278        | 6.48  | 8100  | 0.5579          | 0.1530 |
+| 0.7383        | 6.56  | 8200  | 0.5479          | 0.1499 |
+| 0.696         | 6.64  | 8300  | 0.5485          | 0.1484 |
+| 0.726         | 6.72  | 8400  | 0.5355          | 0.1455 |
+| 0.7024        | 6.8   | 8500  | 0.5213          | 0.1411 |
+| 0.7294        | 6.88  | 8600  | 0.5213          | 0.1446 |
+| 0.6634        | 6.96  | 8700  | 0.5211          | 0.1426 |
+| 0.6888        | 7.04  | 8800  | 0.5341          | 0.1462 |
+| 0.6623        | 7.12  | 8900  | 0.5123          | 0.1397 |
+| 0.646         | 7.2   | 9000  | 0.5302          | 0.1447 |
+| 0.6729        | 7.28  | 9100  | 0.5218          | 0.1412 |
+| 0.6444        | 7.36  | 9200  | 0.5098          | 0.1384 |
+| 0.6357        | 7.44  | 9300  | 0.5218          | 0.1414 |
+| 0.6492        | 7.52  | 9400  | 0.5037          | 0.1365 |
+| 0.6388        | 7.6   | 9500  | 0.5091          | 0.1368 |
+| 0.6545        | 7.68  | 9600  | 0.4980          | 0.1365 |
+| 0.6404        | 7.76  | 9700  | 0.4832          | 0.1318 |
+| 0.644         | 7.84  | 9800  | 0.4904          | 0.1367 |
+| 0.6401        | 7.92  | 9900  | 0.4985          | 0.1346 |
+| 0.6312        | 8.0   | 10000 | 0.4863          | 0.1338 |
+| 0.6088        | 8.08  | 10100 | 0.4851          | 0.1336 |
+| 0.5566        | 8.16  | 10200 | 0.4844          | 0.1319 |
+| 0.5806        | 8.24  | 10300 | 0.4865          | 0.1326 |
+| 0.5604        | 8.32  | 10400 | 0.4833          | 0.1340 |
+| 0.5977        | 8.4   | 10500 | 0.4726          | 0.1286 |
+| 0.5909        | 8.48  | 10600 | 0.4784          | 0.1300 |
+| 0.584         | 8.56  | 10700 | 0.4732          | 0.1282 |
+| 0.5819        | 8.64  | 10800 | 0.4656          | 0.1261 |
+| 0.5977        | 8.72  | 10900 | 0.4616          | 0.1249 |
+| 0.5942        | 8.8   | 11000 | 0.4568          | 0.1249 |
+| 0.5873        | 8.88  | 11100 | 0.4554          | 0.1252 |
+| 0.576         | 8.96  | 11200 | 0.4600          | 0.1237 |
+| 0.5503        | 9.04  | 11300 | 0.4699          | 0.1252 |
+| 0.5586        | 9.12  | 11400 | 0.4695          | 0.1265 |
+| 0.5146        | 9.2   | 11500 | 0.4544          | 0.1218 |
+| 0.5505        | 9.28  | 11600 | 0.4509          | 0.1221 |
+| 0.5358        | 9.36  | 11700 | 0.4577          | 0.1259 |
+| 0.5465        | 9.44  | 11800 | 0.4481          | 0.1205 |
+| 0.5255        | 9.52  | 11900 | 0.4427          | 0.1221 |
+| 0.506         | 9.6   | 12000 | 0.4466          | 0.1193 |
+| 0.5248        | 9.68  | 12100 | 0.4345          | 0.1167 |
+| 0.569         | 9.76  | 12200 | 0.4429          | 0.1173 |
+| 0.4933        | 9.84  | 12300 | 0.4377          | 0.1181 |
+| 0.5381        | 9.92  | 12400 | 0.4359          | 0.1170 |
+| 0.5206        | 10.0  | 12500 | 0.4401          | 0.1185 |
+| 0.4755        | 10.08 | 12600 | 0.4409          | 0.1173 |
+| 0.4899        | 10.16 | 12700 | 0.4350          | 0.1158 |
+| 0.4834        | 10.24 | 12800 | 0.4351          | 0.1158 |
+| 0.4973        | 10.32 | 12900 | 0.4202          | 0.1130 |
+| 0.4798        | 10.4  | 13000 | 0.4335          | 0.1148 |
+| 0.499         | 10.48 | 13100 | 0.4327          | 0.1149 |
+| 0.4852        | 10.56 | 13200 | 0.4277          | 0.1149 |
+| 0.475         | 10.64 | 13300 | 0.4233          | 0.1111 |
+| 0.4653        | 10.72 | 13400 | 0.4169          | 0.1093 |
+| 0.4776        | 10.8  | 13500 | 0.4341          | 0.1125 |
+| 0.4803        | 10.88 | 13600 | 0.4305          | 0.1124 |
+| 0.4721        | 10.96 | 13700 | 0.4212          | 0.1130 |
+| 0.4655        | 11.04 | 13800 | 0.4262          | 0.1086 |
+| 0.4513        | 11.12 | 13900 | 0.4295          | 0.1113 |
+| 0.4563        | 11.2  | 14000 | 0.4299          | 0.1111 |
+| 0.4537        | 11.28 | 14100 | 0.4192          | 0.1086 |
+| 0.4273        | 11.36 | 14200 | 0.4176          | 0.1067 |
+| 0.4667        | 11.44 | 14300 | 0.4125          | 0.1071 |
+| 0.4468        | 11.52 | 14400 | 0.4080          | 0.1072 |
+| 0.4546        | 11.6  | 14500 | 0.4108          | 0.1047 |
+| 0.4468        | 11.68 | 14600 | 0.4104          | 0.1082 |
+| 0.4322        | 11.76 | 14700 | 0.4071          | 0.1052 |
+| 0.4379        | 11.84 | 14800 | 0.3994          | 0.1057 |
+| 0.4471        | 11.92 | 14900 | 0.4043          | 0.1058 |
+| 0.4394        | 12.0  | 15000 | 0.3971          | 0.1040 |
+| 0.4162        | 12.08 | 15100 | 0.3995          | 0.1027 |
+| 0.4183        | 12.16 | 15200 | 0.4092          | 0.1055 |
+| 0.4192        | 12.24 | 15300 | 0.4078          | 0.1043 |
+| 0.4154        | 12.32 | 15400 | 0.4062          | 0.1040 |
+| 0.3932        | 12.4  | 15500 | 0.4032          | 0.1034 |
+| 0.412         | 12.48 | 15600 | 0.4083          | 0.1041 |
+| 0.4008        | 12.56 | 15700 | 0.3941          | 0.1025 |
+| 0.4199        | 12.64 | 15800 | 0.4014          | 0.1031 |
+| 0.4252        | 12.72 | 15900 | 0.3991          | 0.1014 |
+| 0.436         | 12.8  | 16000 | 0.3938          | 0.1032 |
+| 0.4137        | 12.88 | 16100 | 0.3902          | 0.1022 |
+| 0.4201        | 12.96 | 16200 | 0.3927          | 0.1023 |
+| 0.4052        | 13.04 | 16300 | 0.3967          | 0.1003 |
+| 0.3852        | 13.12 | 16400 | 0.3942          | 0.0995 |
+| 0.3912        | 13.2  | 16500 | 0.3959          | 0.1004 |
+| 0.3658        | 13.28 | 16600 | 0.3970          | 0.1010 |
+| 0.416         | 13.36 | 16700 | 0.4067          | 0.1036 |
+| 0.396         | 13.44 | 16800 | 0.3964          | 0.0994 |
+| 0.3972        | 13.52 | 16900 | 0.3937          | 0.1000 |
+| 0.3863        | 13.6  | 17000 | 0.3990          | 0.0995 |
+| 0.3688        | 13.68 | 17100 | 0.3901          | 0.0992 |
+| 0.3712        | 13.76 | 17200 | 0.3828          | 0.0975 |
+| 0.3711        | 13.84 | 17300 | 0.3853          | 0.0971 |
+| 0.3845        | 13.92 | 17400 | 0.3909          | 0.0983 |
+| 0.4011        | 14.0  | 17500 | 0.3859          | 0.0978 |
+| 0.3762        | 14.08 | 17600 | 0.3961          | 0.0986 |
+| 0.3734        | 14.16 | 17700 | 0.3930          | 0.0976 |
+| 0.3577        | 14.24 | 17800 | 0.3883          | 0.0981 |
+| 0.3723        | 14.32 | 17900 | 0.3864          | 0.0970 |
+| 0.3596        | 14.4  | 18000 | 0.3900          | 0.0978 |
+| 0.3642        | 14.48 | 18100 | 0.3848          | 0.0970 |
+| 0.3684        | 14.56 | 18200 | 0.3949          | 0.0968 |
+| 0.3553        | 14.64 | 18300 | 0.3968          | 0.0981 |
+| 0.3564        | 14.72 | 18400 | 0.3942          | 0.0966 |
+| 0.3709        | 14.8  | 18500 | 0.4025          | 0.0982 |
+| 0.3653        | 14.88 | 18600 | 0.3840          | 0.0951 |
+| 0.3679        | 14.96 | 18700 | 0.3777          | 0.0934 |
+| 0.339         | 15.04 | 18800 | 0.3812          | 0.0941 |
+| 0.3384        | 15.12 | 18900 | 0.3809          | 0.0935 |
+| 0.3192        | 15.2  | 19000 | 0.3887          | 0.0942 |
+| 0.3368        | 15.28 | 19100 | 0.3815          | 0.0939 |
+| 0.3298        | 15.36 | 19200 | 0.3854          | 0.0935 |
+| 0.3368        | 15.44 | 19300 | 0.3837          | 0.0936 |
+| 0.3392        | 15.52 | 19400 | 0.3756          | 0.0935 |
+| 0.3413        | 15.6  | 19500 | 0.3801          | 0.0934 |
+| 0.3083        | 15.68 | 19600 | 0.3809          | 0.0930 |
+| 0.3461        | 15.76 | 19700 | 0.3825          | 0.0927 |
+| 0.3257        | 15.84 | 19800 | 0.3800          | 0.0928 |
+| 0.3347        | 15.92 | 19900 | 0.3806          | 0.0919 |
+| 0.3201        | 16.0  | 20000 | 0.3853          | 0.0927 |
+| 0.3127        | 16.08 | 20100 | 0.3843          | 0.0917 |
+| 0.2948        | 16.16 | 20200 | 0.3823          | 0.0907 |
+| 0.3061        | 16.24 | 20300 | 0.3777          | 0.0900 |
+| 0.3232        | 16.32 | 20400 | 0.3760          | 0.0904 |
+| 0.3045        | 16.4  | 20500 | 0.3831          | 0.0908 |
+| 0.3276        | 16.48 | 20600 | 0.3739          | 0.0898 |
+| 0.3141        | 16.56 | 20700 | 0.3805          | 0.0907 |
+| 0.3218        | 16.64 | 20800 | 0.3790          | 0.0906 |
+| 0.3181        | 16.72 | 20900 | 0.3761          | 0.0904 |
+| 0.3177        | 16.8  | 21000 | 0.3749          | 0.0903 |
+| 0.3111        | 16.88 | 21100 | 0.3742          | 0.0894 |
+| 0.3349        | 16.96 | 21200 | 0.3689          | 0.0883 |
+| 0.3282        | 17.04 | 21300 | 0.3731          | 0.0889 |
+| 0.2896        | 17.12 | 21400 | 0.3756          | 0.0895 |
+| 0.2892        | 17.2  | 21500 | 0.3729          | 0.0886 |
+| 0.3125        | 17.28 | 21600 | 0.3736          | 0.0882 |
+| 0.31          | 17.36 | 21700 | 0.3701          | 0.0881 |
+| 0.2853        | 17.44 | 21800 | 0.3742          | 0.0880 |
+| 0.2954        | 17.52 | 21900 | 0.3757          | 0.0885 |
+| 0.3003        | 17.6  | 22000 | 0.3720          | 0.0876 |
+| 0.314         | 17.68 | 22100 | 0.3719          | 0.0883 |
+| 0.3186        | 17.76 | 22200 | 0.3761          | 0.0890 |
+| 0.31          | 17.84 | 22300 | 0.3698          | 0.0879 |
+| 0.305         | 17.92 | 22400 | 0.3740          | 0.0881 |
+| 0.2989        | 18.0  | 22500 | 0.3724          | 0.0878 |
+| 0.2932        | 18.08 | 22600 | 0.3691          | 0.0872 |
+| 0.2911        | 18.16 | 22700 | 0.3686          | 0.0873 |
+| 0.2972        | 18.24 | 22800 | 0.3692          | 0.0872 |
+| 0.2915        | 18.32 | 22900 | 0.3714          | 0.0874 |
+| 0.2956        | 18.4  | 23000 | 0.3721          | 0.0873 |
+| 0.2737        | 18.48 | 23100 | 0.3745          | 0.0875 |
+| 0.3018        | 18.56 | 23200 | 0.3727          | 0.0873 |
+| 0.2732        | 18.64 | 23300 | 0.3732          | 0.0871 |
+| 0.2971        | 18.72 | 23400 | 0.3699          | 0.0876 |
+| 0.3005        | 18.8  | 23500 | 0.3724          | 0.0871 |
+| 0.2865        | 18.88 | 23600 | 0.3738          | 0.0869 |
+| 0.2873        | 18.96 | 23700 | 0.3710          | 0.0865 |
+| 0.2981        | 19.04 | 23800 | 0.3721          | 0.0869 |
+| 0.2926        | 19.12 | 23900 | 0.3741          | 0.0869 |
+| 0.2796        | 19.2  | 24000 | 0.3733          | 0.0867 |
+| 0.2869        | 19.28 | 24100 | 0.3722          | 0.0860 |
+| 0.2624        | 19.36 | 24200 | 0.3734          | 0.0862 |
+| 0.2976        | 19.44 | 24300 | 0.3733          | 0.0862 |
+| 0.2809        | 19.52 | 24400 | 0.3733          | 0.0864 |
+| 0.273         | 19.6  | 24500 | 0.3716          | 0.0863 |
+| 0.3105        | 19.68 | 24600 | 0.3702          | 0.0863 |
+| 0.2937        | 19.76 | 24700 | 0.3702          | 0.0863 |
+| 0.2849        | 19.84 | 24800 | 0.3697          | 0.0864 |
+| 0.2865        | 19.92 | 24900 | 0.3700          | 0.0865 |
+| 0.2872        | 20.0  | 25000 | 0.3699          | 0.0865 |
+
+
+### Framework versions
+
+- Transformers 4.35.2
+- Pytorch 2.1.1+cu121
+- Datasets 2.13.0
+- Tokenizers 0.15.0
diff --git a/added_tokens.json b/added_tokens.json
new file mode 100644
index 0000000..ce296d5
--- /dev/null
+++ b/added_tokens.json
@@ -0,0 +1,4 @@
+{
+  "</s>": 1298,
+  "<s>": 1297
+}
diff --git a/config.json b/config.json
new file mode 100644
index 0000000..c30b90a
--- /dev/null
+++ b/config.json
@@ -0,0 +1,109 @@
+{
+  "_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": 0.1,
+  "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": [
+    10,
+    3,
+    3,
+    3,
+    3,
+    2,
+    2
+  ],
+  "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": 0.1,
+  "feat_quantizer_dropout": 0.0,
+  "final_dropout": 0.0,
+  "gradient_checkpointing": false,
+  "hidden_act": "gelu",
+  "hidden_dropout": 0.1,
+  "hidden_size": 1024,
+  "initializer_range": 0.02,
+  "intermediate_size": 4096,
+  "layer_norm_eps": 1e-05,
+  "layerdrop": 0.1,
+  "mask_feature_length": 10,
+  "mask_feature_min_masks": 0,
+  "mask_feature_prob": 0.0,
+  "mask_time_length": 10,
+  "mask_time_min_masks": 2,
+  "mask_time_prob": 0.075,
+  "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": 1296,
+  "proj_codevector_dim": 768,
+  "tdnn_dilation": [
+    1,
+    2,
+    3,
+    1,
+    1
+  ],
+  "tdnn_dim": [
+    512,
+    512,
+    512,
+    512,
+    1500
+  ],
+  "tdnn_kernel": [
+    5,
+    3,
+    3,
+    1,
+    1
+  ],
+  "torch_dtype": "float32",
+  "transformers_version": "4.35.2",
+  "use_weighted_layer_sum": false,
+  "vocab_size": 1299,
+  "xvector_output_dim": 512
+}
diff --git a/model.safetensors b/model.safetensors
new file mode 100644
index 0000000..11e4724
--- /dev/null
+++ b/model.safetensors
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ab1d4d1772d90cf7f3b4c58236d4433d3fdfdaca53dfa2b3d4ff860f03744315
+size 1267133396
diff --git a/preprocessor_config.json b/preprocessor_config.json
new file mode 100644
index 0000000..a0b7227
--- /dev/null
+++ b/preprocessor_config.json
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+{
+  "do_normalize": true,
+  "feature_extractor_type": "Wav2Vec2FeatureExtractor",
+  "feature_size": 1,
+  "padding_side": "right",
+  "padding_value": 0.0,
+  "return_attention_mask": false,
+  "sampling_rate": 16000
+}
diff --git a/runs/Jan23_08-59-42_DESKTOP-CE5K89C/events.out.tfevents.1705968887.DESKTOP-CE5K89C.356.0 b/runs/Jan23_08-59-42_DESKTOP-CE5K89C/events.out.tfevents.1705968887.DESKTOP-CE5K89C.356.0
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@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:13b47c94bd678441316307cd576d30c886c1279ca9ee00b212bcd1162755d753
+size 5818
diff --git a/runs/Jan23_09-42-45_DESKTOP-CE5K89C/events.out.tfevents.1705971152.DESKTOP-CE5K89C.15448.0 b/runs/Jan23_09-42-45_DESKTOP-CE5K89C/events.out.tfevents.1705971152.DESKTOP-CE5K89C.15448.0
new file mode 100644
index 0000000..0f28fe5
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@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ce527f5fbbcee38692e0ff51010f54b9bd59aeed4af910591d9ee40e9c5423b4
+size 15312
diff --git a/runs/Jan23_12-06-54_DESKTOP-CE5K89C/events.out.tfevents.1705979801.DESKTOP-CE5K89C.1044.0 b/runs/Jan23_12-06-54_DESKTOP-CE5K89C/events.out.tfevents.1705979801.DESKTOP-CE5K89C.1044.0
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+version https://git-lfs.github.com/spec/v1
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+size 125549
diff --git a/special_tokens_map.json b/special_tokens_map.json
new file mode 100644
index 0000000..1c2a036
--- /dev/null
+++ b/special_tokens_map.json
@@ -0,0 +1,6 @@
+{
+  "bos_token": "<s>",
+  "eos_token": "</s>",
+  "pad_token": "[PAD]",
+  "unk_token": "[UNK]"
+}
diff --git a/tokenizer_config.json b/tokenizer_config.json
new file mode 100644
index 0000000..a1fd930
--- /dev/null
+++ b/tokenizer_config.json
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+{
+  "added_tokens_decoder": {
+    "1295": {
+      "content": "[UNK]",
+      "lstrip": true,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": false
+    },
+    "1296": {
+      "content": "[PAD]",
+      "lstrip": true,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": false
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+    "1297": {
+      "content": "<s>",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "1298": {
+      "content": "</s>",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "bos_token": "<s>",
+  "clean_up_tokenization_spaces": true,
+  "do_lower_case": false,
+  "eos_token": "</s>",
+  "model_max_length": 1000000000000000019884624838656,
+  "pad_token": "[PAD]",
+  "replace_word_delimiter_char": " ",
+  "target_lang": null,
+  "tokenizer_class": "Wav2Vec2CTCTokenizer",
+  "unk_token": "[UNK]",
+  "word_delimiter_token": "|"
+}
diff --git a/training_args.bin b/training_args.bin
new file mode 100644
index 0000000..b44dad3
--- /dev/null
+++ b/training_args.bin
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+version https://git-lfs.github.com/spec/v1
+oid sha256:803cbf345cf90d4ff66aac613ee01da37f69010e921187cd1a4a75f3933e0eb3
+size 4536
diff --git a/vocab.json b/vocab.json
new file mode 100644
index 0000000..9e6b818
--- /dev/null
+++ b/vocab.json
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+{
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+  "[UNK]": 1295,
+  "|": 0,
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