End of training
Browse files- README.md +87 -0
- config.json +486 -0
- model.safetensors +3 -0
- preprocessor_config.json +9 -0
- training_args.bin +3 -0
README.md
ADDED
@@ -0,0 +1,87 @@
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---
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license: apache-2.0
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base_model: facebook/wav2vec2-base
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tags:
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- generated_from_trainer
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datasets:
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- audiofolder
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metrics:
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- accuracy
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model-index:
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- name: my_birdcall_model
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results:
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- task:
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name: Audio Classification
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type: audio-classification
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dataset:
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name: audiofolder
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type: audiofolder
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config: rb
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split: train[:5000]
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args: rb
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.26
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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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# my_birdcall_model
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This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the audiofolder dataset.
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It achieves the following results on the evaluation set:
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- Loss: 3.1584
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- Accuracy: 0.26
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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: 3e-05
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- train_batch_size: 32
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- eval_batch_size: 32
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- seed: 42
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 128
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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: 0.1
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- num_epochs: 10
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| 4.9434 | 0.99 | 31 | 4.8016 | 0.108 |
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| 4.5209 | 1.98 | 62 | 4.3832 | 0.108 |
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| 4.1573 | 2.98 | 93 | 3.9995 | 0.108 |
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| 3.8211 | 4.0 | 125 | 3.6762 | 0.108 |
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| 3.5876 | 4.99 | 156 | 3.4586 | 0.152 |
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| 3.4453 | 5.98 | 187 | 3.3284 | 0.191 |
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| 3.313 | 6.98 | 218 | 3.2432 | 0.21 |
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| 3.2369 | 8.0 | 250 | 3.1993 | 0.223 |
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| 3.2286 | 8.99 | 281 | 3.1712 | 0.23 |
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| 3.1867 | 9.92 | 310 | 3.1584 | 0.26 |
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### Framework versions
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- Transformers 4.38.0
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- Pytorch 2.3.0+cu121
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- Datasets 2.15.0
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- Tokenizers 0.15.0
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config.json
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1 |
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{
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+
"_name_or_path": "facebook/wav2vec2-base",
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3 |
+
"activation_dropout": 0.0,
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+
"adapter_attn_dim": null,
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5 |
+
"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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"Wav2Vec2ForSequenceClassification"
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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": 256,
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"contrastive_logits_temperature": 0.1,
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+
"conv_bias": false,
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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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"ctc_loss_reduction": "sum",
|
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"ctc_zero_infinity": false,
|
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"diversity_loss_weight": 0.1,
|
48 |
+
"do_stable_layer_norm": false,
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49 |
+
"eos_token_id": 2,
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+
"feat_extract_activation": "gelu",
|
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"feat_extract_norm": "group",
|
52 |
+
"feat_proj_dropout": 0.1,
|
53 |
+
"feat_quantizer_dropout": 0.0,
|
54 |
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"final_dropout": 0.0,
|
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"freeze_feat_extract_train": true,
|
56 |
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"hidden_act": "gelu",
|
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"hidden_dropout": 0.1,
|
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"hidden_size": 768,
|
59 |
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"id2label": {
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60 |
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"0": "asbfly",
|
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"1": "ashdro1",
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62 |
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"10": "bcnher",
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63 |
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"100": "labcro1",
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64 |
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"101": "laudov1",
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"102": "lblwar1",
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66 |
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"103": "lesyel1",
|
67 |
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"104": "lewduc1",
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68 |
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"105": "lirplo",
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69 |
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"106": "litegr",
|
70 |
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"107": "litgre1",
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"108": "litspi1",
|
72 |
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"109": "litswi1",
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73 |
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"11": "bkcbul1",
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"110": "lobsun2",
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"111": "maghor2",
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"112": "malpar1",
|
77 |
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"113": "maltro1",
|
78 |
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"114": "malwoo1",
|
79 |
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"115": "marsan",
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80 |
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"116": "mawthr1",
|
81 |
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"117": "moipig1",
|
82 |
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"118": "nilfly2",
|
83 |
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"119": "niwpig1",
|
84 |
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"12": "bkrfla1",
|
85 |
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"120": "nutman",
|
86 |
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"121": "orihob2",
|
87 |
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"122": "oripip1",
|
88 |
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"123": "pabflo1",
|
89 |
+
"124": "paisto1",
|
90 |
+
"125": "piebus1",
|
91 |
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"126": "piekin1",
|
92 |
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"127": "placuc3",
|
93 |
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"128": "plaflo1",
|
94 |
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"129": "plapri1",
|
95 |
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"13": "bkskit1",
|
96 |
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"130": "plhpar1",
|
97 |
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"131": "pomgrp2",
|
98 |
+
"132": "purher1",
|
99 |
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"133": "pursun3",
|
100 |
+
"134": "pursun4",
|
101 |
+
"135": "purswa3",
|
102 |
+
"136": "putbab1",
|
103 |
+
"137": "redspu1",
|
104 |
+
"138": "rerswa1",
|
105 |
+
"139": "revbul",
|
106 |
+
"14": "bkwsti",
|
107 |
+
"140": "rewbul",
|
108 |
+
"141": "rewlap1",
|
109 |
+
"142": "rocpig",
|
110 |
+
"143": "rorpar",
|
111 |
+
"144": "rossta2",
|
112 |
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"145": "rufbab3",
|
113 |
+
"146": "ruftre2",
|
114 |
+
"147": "rufwoo2",
|
115 |
+
"148": "rutfly6",
|
116 |
+
"149": "sbeowl1",
|
117 |
+
"15": "bladro1",
|
118 |
+
"150": "scamin3",
|
119 |
+
"151": "shikra1",
|
120 |
+
"152": "smamin1",
|
121 |
+
"153": "sohmyn1",
|
122 |
+
"154": "spepic1",
|
123 |
+
"155": "spodov",
|
124 |
+
"156": "spoowl1",
|
125 |
+
"157": "sqtbul1",
|
126 |
+
"158": "stbkin1",
|
127 |
+
"159": "sttwoo1",
|
128 |
+
"16": "blaeag1",
|
129 |
+
"160": "thbwar1",
|
130 |
+
"161": "tibfly3",
|
131 |
+
"162": "tilwar1",
|
132 |
+
"163": "vefnut1",
|
133 |
+
"164": "vehpar1",
|
134 |
+
"165": "wbbfly1",
|
135 |
+
"166": "wemhar1",
|
136 |
+
"167": "whbbul2",
|
137 |
+
"168": "whbsho3",
|
138 |
+
"169": "whbtre1",
|
139 |
+
"17": "blakit1",
|
140 |
+
"170": "whbwag1",
|
141 |
+
"171": "whbwat1",
|
142 |
+
"172": "whbwoo2",
|
143 |
+
"173": "whcbar1",
|
144 |
+
"174": "whiter2",
|
145 |
+
"175": "whrmun",
|
146 |
+
"176": "whtkin2",
|
147 |
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"177": "woosan",
|
148 |
+
"178": "wynlau1",
|
149 |
+
"179": "yebbab1",
|
150 |
+
"18": "blhori1",
|
151 |
+
"180": "yebbul3",
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model.safetensors
ADDED
@@ -0,0 +1,3 @@
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|
1 |
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{
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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:b10aefa828c7cf7f4fdd8aa18ae0418820315f4879081cda7100fa1d23ac8cc7
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size 4920
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