ZhiyuanChen commited on
Commit
736f83c
·
verified ·
1 Parent(s): abafac3

Upload folder using huggingface_hub

Browse files
README.md ADDED
@@ -0,0 +1,314 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ language: rna
3
+ tags:
4
+ - Biology
5
+ - RNA
6
+ license: agpl-3.0
7
+ datasets:
8
+ - multimolecule/ena
9
+ library_name: multimolecule
10
+ base_model: multimolecule/aido.rna-1.6b
11
+ pipeline_tag: fill-mask
12
+ mask_token: "<mask>"
13
+ widget:
14
+ - example_title: "HIV-1"
15
+ text: "GGUC<mask>CUCUGGUUAGACCAGAUCUGAGCCU"
16
+ output:
17
+ - label: "A"
18
+ score: 0.1288139671087265
19
+ - label: "R"
20
+ score: 0.11929940432310104
21
+ - label: "M"
22
+ score: 0.11779318749904633
23
+ - label: "V"
24
+ score: 0.11530579626560211
25
+ - label: "G"
26
+ score: 0.11048755794763565
27
+ - example_title: "microRNA-21"
28
+ text: "UAGC<mask>UAUCAGACUGAUGUUG"
29
+ output:
30
+ - label: "A"
31
+ score: 0.16018971800804138
32
+ - label: "M"
33
+ score: 0.13473322987556458
34
+ - label: "R"
35
+ score: 0.11473158001899719
36
+ - label: "V"
37
+ score: 0.11425967514514923
38
+ - label: "C"
39
+ score: 0.11332215368747711
40
+ ---
41
+
42
+ # AIDO.RNA
43
+
44
+ Pre-trained model on non-coding RNA (ncRNA) using a masked language modeling (MLM) objective.
45
+
46
+ ## Disclaimer
47
+
48
+ This is an UNOFFICIAL implementation of the [A Large-Scale Foundation Model for RNA Function and Structure Prediction](https://doi.org/10.1101/2024.11.28.625345) by Shuxian Zou, Tianhua Tao, Sazan Mahbub, et al.
49
+
50
+ The OFFICIAL repository of AIDO.RNA is at [genbio-ai/AIDO](https://github.com/genbio-ai/AIDO).
51
+
52
+ > [!WARNING]
53
+ > The MultiMolecule team is aware of a potential risk in reproducing the results of AIDO.RNA.
54
+ >
55
+ > The original implementation of AIDO.RNA uses a special tokenizer that identifies `U` and `T` as different tokens.
56
+ >
57
+ > This behaviour is not supported by MultiMolecule.
58
+
59
+ > [!TIP]
60
+ > The MultiMolecule team has confirmed that the provided model and checkpoints are producing the same intermediate representations as the original implementation.
61
+
62
+ **The team releasing AIDO.RNA did not write this model card for this model so this model card has been written by the MultiMolecule team.**
63
+
64
+ ## Model Details
65
+
66
+ AIDO.RNA is a [bert](https://huggingface.co/google-bert/bert-base-uncased)-style model pre-trained on a large corpus of non-coding RNA sequences in a self-supervised fashion. This means that the model was trained on the raw nucleotides of RNA sequences only, with an automatic process to generate inputs and labels from those texts. Please refer to the [Training Details](#training-details) section for more information on the training process.
67
+
68
+ ### Variants
69
+
70
+ - **[multimolecule/aido.rna-1.6b](https://huggingface.co/multimolecule/aido.rna-1.6b)**: The AIDO.RNA model with 1.6 billion parameters.
71
+ - **[multimolecule/aido.rna-650m](https://huggingface.co/multimolecule/aido.rna-650m)**: The AIDO.RNA model with 650 million parameters.
72
+
73
+ ### Model Specification
74
+
75
+ <table>
76
+ <thead>
77
+ <tr>
78
+ <th>Variants</th>
79
+ <th>Num Layers</th>
80
+ <th>Hidden Size</th>
81
+ <th>Num Heads</th>
82
+ <th>Intermediate Size</th>
83
+ <th>Num Parameters (M)</th>
84
+ <th>FLOPs (G)</th>
85
+ <th>MACs (G)</th>
86
+ <th>Max Num Tokens</th>
87
+ </tr>
88
+ </thead>
89
+ <tbody>
90
+ <tr>
91
+ <td>AIDO.RNA-1.6B</td>
92
+ <td>32</td>
93
+ <td>2048</td>
94
+ <td>32</td>
95
+ <td>5440</td>
96
+ <td>1650.29</td>
97
+ <td>415.67</td>
98
+ <td>207.77</td>
99
+ <td rowspan="2">1022</td>
100
+ </tr>
101
+ <tr>
102
+ <td>AIDO.RNA-650M</td>
103
+ <td>33</td>
104
+ <td>1280</td>
105
+ <td>20</td>
106
+ <td>3392</td>
107
+ <td>648.38</td>
108
+ <td>168.25</td>
109
+ <td>80.09</td>
110
+ </tr>
111
+ </tbody>
112
+ </table>
113
+
114
+ ### Links
115
+
116
+ - **Code**: [multimolecule.aido_rna](https://github.com/DLS5-Omics/multimolecule/tree/master/multimolecule/models/aido_rna)
117
+ - **Weights**: [multimolecule/aido.rna](https://huggingface.co/multimolecule/aido.rna)
118
+ - **Data**: [multimolecule/rnacentral](https://huggingface.co/datasets/multimolecule/rnacentral)
119
+ - **Paper**: [A Large-Scale Foundation Model for RNA Function and Structure Prediction](https://doi.org/10.1101/2024.11.28.625345)
120
+ - **Developed by**: Shuxian Zou, Tianhua Tao, Sazan Mahbub, Caleb N. Ellington, Robin Algayres, Dian Li, Yonghao Zhuang, Hongyi Wang, Le Song, Eric P. Xing
121
+ - **Model type**: [BERT](https://huggingface.co/google-bert/bert-base-uncased)
122
+ - **Original Repository**: [genbio-ai/AIDO](https://github.com/genbio-ai/AIDO)
123
+
124
+ ## Usage
125
+
126
+ The model file depends on the [`multimolecule`](https://multimolecule.danling.org) library. You can install it using pip:
127
+
128
+ ```bash
129
+ pip install multimolecule
130
+ ```
131
+
132
+ ### Direct Use
133
+
134
+ You can use this model directly with a pipeline for masked language modeling:
135
+
136
+ ```python
137
+ >>> import multimolecule # you must import multimolecule to register models
138
+ >>> from transformers import pipeline
139
+
140
+ >>> unmasker = pipeline("fill-mask", model="multimolecule/aido.rna-1.6b")
141
+ >>> unmasker("gguc<mask>cucugguuagaccagaucugagccu")
142
+ [{'score': 0.1288139671087265,
143
+ 'token': 6,
144
+ 'token_str': 'A',
145
+ 'sequence': 'G G U C A C U C U G G U U A G A C C A G A U C U G A G C C U'},
146
+ {'score': 0.11929940432310104,
147
+ 'token': 11,
148
+ 'token_str': 'R',
149
+ 'sequence': 'G G U C R C U C U G G U U A G A C C A G A U C U G A G C C U'},
150
+ {'score': 0.11779318749904633,
151
+ 'token': 16,
152
+ 'token_str': 'M',
153
+ 'sequence': 'G G U C M C U C U G G U U A G A C C A G A U C U G A G C C U'},
154
+ {'score': 0.11530579626560211,
155
+ 'token': 20,
156
+ 'token_str': 'V',
157
+ 'sequence': 'G G U C V C U C U G G U U A G A C C A G A U C U G A G C C U'},
158
+ {'score': 0.11048755794763565,
159
+ 'token': 8,
160
+ 'token_str': 'G',
161
+ 'sequence': 'G G U C G C U C U G G U U A G A C C A G A U C U G A G C C U'}]
162
+ ```
163
+
164
+ ### Downstream Use
165
+
166
+ #### Extract Features
167
+
168
+ Here is how to use this model to get the features of a given sequence in PyTorch:
169
+
170
+ ```python
171
+ from multimolecule import RnaTokenizer, AidoRnaModel
172
+
173
+
174
+ tokenizer = RnaTokenizer.from_pretrained("multimolecule/aido.rna-1.6b")
175
+ model = AidoRnaModel.from_pretrained("multimolecule/aido.rna-1.6b")
176
+
177
+ text = "UAGCUUAUCAGACUGAUGUUG"
178
+ input = tokenizer(text, return_tensors="pt")
179
+
180
+ output = model(**input)
181
+ ```
182
+
183
+ #### Sequence Classification / Regression
184
+
185
+ > [!NOTE]
186
+ > This model is not fine-tuned for any specific task. You will need to fine-tune the model on a downstream task to use it for sequence classification or regression.
187
+
188
+ Here is how to use this model as backbone to fine-tune for a sequence-level task in PyTorch:
189
+
190
+ ```python
191
+ import torch
192
+ from multimolecule import RnaTokenizer, AidoRnaForSequencePrediction
193
+
194
+
195
+ tokenizer = RnaTokenizer.from_pretrained("multimolecule/aido.rna-1.6b")
196
+ model = AidoRnaForSequencePrediction.from_pretrained("multimolecule/aido.rna-1.6b")
197
+
198
+ text = "UAGCUUAUCAGACUGAUGUUG"
199
+ input = tokenizer(text, return_tensors="pt")
200
+ label = torch.tensor([1])
201
+
202
+ output = model(**input, labels=label)
203
+ ```
204
+
205
+ #### Token Classification / Regression
206
+
207
+ > [!NOTE]
208
+ > This model is not fine-tuned for any specific task. You will need to fine-tune the model on a downstream task to use it for token classification or regression.
209
+
210
+ Here is how to use this model as backbone to fine-tune for a nucleotide-level task in PyTorch:
211
+
212
+ ```python
213
+ import torch
214
+ from multimolecule import RnaTokenizer, AidoRnaForTokenPrediction
215
+
216
+
217
+ tokenizer = RnaTokenizer.from_pretrained("multimolecule/aido.rna-1.6b")
218
+ model = AidoRnaForTokenPrediction.from_pretrained("multimolecule/aido.rna-1.6b")
219
+
220
+ text = "UAGCUUAUCAGACUGAUGUUG"
221
+ input = tokenizer(text, return_tensors="pt")
222
+ label = torch.randint(2, (len(text), ))
223
+
224
+ output = model(**input, labels=label)
225
+ ```
226
+
227
+ #### Contact Classification / Regression
228
+
229
+ > [!NOTE]
230
+ > This model is not fine-tuned for any specific task. You will need to fine-tune the model on a downstream task to use it for contact classification or regression.
231
+
232
+ Here is how to use this model as backbone to fine-tune for a contact-level task in PyTorch:
233
+
234
+ ```python
235
+ import torch
236
+ from multimolecule import RnaTokenizer, AidoRnaForContactPrediction
237
+
238
+
239
+ tokenizer = RnaTokenizer.from_pretrained("multimolecule/aido.rna-1.6b")
240
+ model = AidoRnaForContactPrediction.from_pretrained("multimolecule/aido.rna-1.6b")
241
+
242
+ text = "UAGCUUAUCAGACUGAUGUUG"
243
+ input = tokenizer(text, return_tensors="pt")
244
+ label = torch.randint(2, (len(text), len(text)))
245
+
246
+ output = model(**input, labels=label)
247
+ ```
248
+
249
+ ## Training Details
250
+
251
+ AIDO.RNA used Masked Language Modeling (MLM) as the pre-training objective: taking a sequence, the model randomly masks 15% of the tokens in the input then runs the entire masked sentence through the model and has to predict the masked tokens. This is comparable to the Cloze task in language modeling.
252
+
253
+ ### Training Data
254
+
255
+ The AIDO.RNA model was pre-trained on [RNAcentral](https://multimolecule.danling.org/datasets/rnacentral) and [MARS](https://ngdc.cncb.ac.cn/omix/release/OMIX003037).
256
+ RNAcentral is a free, public resource that offers integrated access to a comprehensive and up-to-date set of non-coding RNA sequences provided by a collaborating group of [Expert Databases](https://rnacentral.org/expert-databases) representing a broad range of organisms and RNA types.
257
+
258
+ AIDO.RNA applied SeqKit to remove duplicated sequences in the RNAcentral, resulting 42 million unique sequences.
259
+
260
+ Note that AIDO.RNA identifies `U` and `T` as different tokens, which is not supported by MultiMolecule. During model conversion, the embeddings of `T` is discarded. This means that the model will not be able to distinguish between `U` and `T` in the input sequences.
261
+
262
+ ### Training Procedure
263
+
264
+ #### Preprocessing
265
+
266
+ AIDO.RNA used masked language modeling (MLM) as the pre-training objective. The masking procedure is similar to the one used in BERT:
267
+
268
+ - 15% of the tokens are masked.
269
+ - In 80% of the cases, the masked tokens are replaced by `<mask>`.
270
+ - In 10% of the cases, the masked tokens are replaced by a random token (different) from the one they replace.
271
+ - In the 10% remaining cases, the masked tokens are left as is.
272
+
273
+ #### Pre-training
274
+
275
+ - Epochs: 6
276
+ - Optimizer: AdamW
277
+ - Learning rate: 5e-5
278
+ - Learning rate warm-up: 2,000 steps
279
+ - Learning rate scheduler: Cosine
280
+ - Minimum learning rate: 1e-5
281
+ - Weight decay: 0.01
282
+
283
+ ## Citation
284
+
285
+ **BibTeX**:
286
+
287
+ ```bibtex
288
+ @article {Zou2024.11.28.625345,
289
+ author = {Zou, Shuxian and Tao, Tianhua and Mahbub, Sazan and Ellington, Caleb N. and Algayres, Robin and Li, Dian and Zhuang, Yonghao and Wang, Hongyi and Song, Le and Xing, Eric P.},
290
+ title = {A Large-Scale Foundation Model for RNA Function and Structure Prediction},
291
+ elocation-id = {2024.11.28.625345},
292
+ year = {2024},
293
+ doi = {10.1101/2024.11.28.625345},
294
+ publisher = {Cold Spring Harbor Laboratory},
295
+ abstract = {Originally marginalized as an intermediate in the information flow from DNA to protein, RNA has become the star of modern biology, holding the key to precision therapeutics, genetic engineering, evolutionary origins, and our understanding of fundamental cellular processes. Yet RNA is as mysterious as it is prolific, serving as an information store, a messenger, and a catalyst, spanning many underchar-acterized functional and structural classes. Deciphering the language of RNA is important not only for a mechanistic understanding of its biological functions but also for accelerating drug design. Toward this goal, we introduce AIDO.RNA, a pre-trained module for RNA in an AI-driven Digital Organism [1]. AIDO.RNA contains a scale of 1.6 billion parameters, trained on 42 million non-coding RNA (ncRNA) sequences at single-nucleotide resolution, and it achieves state-of-the-art performance on a comprehensive set of tasks, including structure prediction, genetic regulation, molecular function across species, and RNA sequence design. AIDO.RNA after domain adaptation learns to model essential parts of protein translation that protein language models, which have received widespread attention in recent years, do not. More broadly, AIDO.RNA hints at the generality of biological sequence modeling and the ability to leverage the central dogma to improve many biomolecular representations. Models and code are available through ModelGenerator in https://github.com/genbio-ai/AIDO and on Hugging Face.Competing Interest StatementThe authors have declared no competing interest.},
296
+ URL = {https://www.biorxiv.org/content/early/2024/11/29/2024.11.28.625345},
297
+ eprint = {https://www.biorxiv.org/content/early/2024/11/29/2024.11.28.625345.full.pdf},
298
+ journal = {bioRxiv}
299
+ }
300
+ ```
301
+
302
+ ## Contact
303
+
304
+ Please use GitHub issues of [MultiMolecule](https://github.com/DLS5-Omics/multimolecule/issues) for any questions or comments on the model card.
305
+
306
+ Please contact the authors of the [AIDO.RNA paper](https://doi.org/10.1101/2024.11.28.625345) for questions or comments on the paper/model.
307
+
308
+ ## License
309
+
310
+ This model is licensed under the [AGPL-3.0 License](https://www.gnu.org/licenses/agpl-3.0.html).
311
+
312
+ ```spdx
313
+ SPDX-License-Identifier: AGPL-3.0-or-later
314
+ ```
config.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "architectures": [
3
+ "AidoRnaForPreTraining"
4
+ ],
5
+ "attention_dropout": 0.0,
6
+ "bos_token_id": 1,
7
+ "eos_token_id": 2,
8
+ "head": null,
9
+ "hidden_act": "silu",
10
+ "hidden_dropout": 0.0,
11
+ "hidden_size": 2048,
12
+ "id2label": null,
13
+ "initializer_range": 0.02,
14
+ "intermediate_size": 5440,
15
+ "label2id": null,
16
+ "layer_norm_eps": 1e-05,
17
+ "lm_head": null,
18
+ "mask_token_id": 4,
19
+ "max_position_embeddings": 1024,
20
+ "model_type": "aido.rna",
21
+ "null_token_id": 5,
22
+ "num_attention_heads": 32,
23
+ "num_hidden_layers": 32,
24
+ "num_labels": 1,
25
+ "pad_token_id": 0,
26
+ "position_embedding_type": "rotary",
27
+ "torch_dtype": "float32",
28
+ "transformers_version": "4.50.0",
29
+ "unk_token_id": 3,
30
+ "use_cache": true,
31
+ "vocab_size": 26
32
+ }
model-00001-of-00002.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:4116b042f6b11c7935ebaaac57321104c3af74075945f6eb4a5e620f463104d8
3
+ size 4978684608
model-00002-of-00002.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:60207e3a601348f695868e9288c818aee3e921388d0efb1ca6529cc4442f4bf5
3
+ size 1467844280
model.safetensors.index.json ADDED
@@ -0,0 +1,591 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "metadata": {
3
+ "total_size": 6446456936
4
+ },
5
+ "weight_map": {
6
+ "aido_rna.embeddings.word_embeddings.weight": "model-00001-of-00002.safetensors",
7
+ "aido_rna.encoder.layer.0.attention.layer_norm.bias": "model-00001-of-00002.safetensors",
8
+ "aido_rna.encoder.layer.0.attention.layer_norm.weight": "model-00001-of-00002.safetensors",
9
+ "aido_rna.encoder.layer.0.attention.output.dense.bias": "model-00001-of-00002.safetensors",
10
+ "aido_rna.encoder.layer.0.attention.output.dense.weight": "model-00001-of-00002.safetensors",
11
+ "aido_rna.encoder.layer.0.attention.self.key.bias": "model-00001-of-00002.safetensors",
12
+ "aido_rna.encoder.layer.0.attention.self.key.weight": "model-00001-of-00002.safetensors",
13
+ "aido_rna.encoder.layer.0.attention.self.query.bias": "model-00001-of-00002.safetensors",
14
+ "aido_rna.encoder.layer.0.attention.self.query.weight": "model-00001-of-00002.safetensors",
15
+ "aido_rna.encoder.layer.0.attention.self.value.bias": "model-00001-of-00002.safetensors",
16
+ "aido_rna.encoder.layer.0.attention.self.value.weight": "model-00001-of-00002.safetensors",
17
+ "aido_rna.encoder.layer.0.intermediate.dense.bias": "model-00001-of-00002.safetensors",
18
+ "aido_rna.encoder.layer.0.intermediate.dense.weight": "model-00001-of-00002.safetensors",
19
+ "aido_rna.encoder.layer.0.intermediate.gate.bias": "model-00001-of-00002.safetensors",
20
+ "aido_rna.encoder.layer.0.intermediate.gate.weight": "model-00001-of-00002.safetensors",
21
+ "aido_rna.encoder.layer.0.layer_norm.bias": "model-00001-of-00002.safetensors",
22
+ "aido_rna.encoder.layer.0.layer_norm.weight": "model-00001-of-00002.safetensors",
23
+ "aido_rna.encoder.layer.0.output.dense.bias": "model-00001-of-00002.safetensors",
24
+ "aido_rna.encoder.layer.0.output.dense.weight": "model-00001-of-00002.safetensors",
25
+ "aido_rna.encoder.layer.1.attention.layer_norm.bias": "model-00001-of-00002.safetensors",
26
+ "aido_rna.encoder.layer.1.attention.layer_norm.weight": "model-00001-of-00002.safetensors",
27
+ "aido_rna.encoder.layer.1.attention.output.dense.bias": "model-00001-of-00002.safetensors",
28
+ "aido_rna.encoder.layer.1.attention.output.dense.weight": "model-00001-of-00002.safetensors",
29
+ "aido_rna.encoder.layer.1.attention.self.key.bias": "model-00001-of-00002.safetensors",
30
+ "aido_rna.encoder.layer.1.attention.self.key.weight": "model-00001-of-00002.safetensors",
31
+ "aido_rna.encoder.layer.1.attention.self.query.bias": "model-00001-of-00002.safetensors",
32
+ "aido_rna.encoder.layer.1.attention.self.query.weight": "model-00001-of-00002.safetensors",
33
+ "aido_rna.encoder.layer.1.attention.self.value.bias": "model-00001-of-00002.safetensors",
34
+ "aido_rna.encoder.layer.1.attention.self.value.weight": "model-00001-of-00002.safetensors",
35
+ "aido_rna.encoder.layer.1.intermediate.dense.bias": "model-00001-of-00002.safetensors",
36
+ "aido_rna.encoder.layer.1.intermediate.dense.weight": "model-00001-of-00002.safetensors",
37
+ "aido_rna.encoder.layer.1.intermediate.gate.bias": "model-00001-of-00002.safetensors",
38
+ "aido_rna.encoder.layer.1.intermediate.gate.weight": "model-00001-of-00002.safetensors",
39
+ "aido_rna.encoder.layer.1.layer_norm.bias": "model-00001-of-00002.safetensors",
40
+ "aido_rna.encoder.layer.1.layer_norm.weight": "model-00001-of-00002.safetensors",
41
+ "aido_rna.encoder.layer.1.output.dense.bias": "model-00001-of-00002.safetensors",
42
+ "aido_rna.encoder.layer.1.output.dense.weight": "model-00001-of-00002.safetensors",
43
+ "aido_rna.encoder.layer.10.attention.layer_norm.bias": "model-00001-of-00002.safetensors",
44
+ "aido_rna.encoder.layer.10.attention.layer_norm.weight": "model-00001-of-00002.safetensors",
45
+ "aido_rna.encoder.layer.10.attention.output.dense.bias": "model-00001-of-00002.safetensors",
46
+ "aido_rna.encoder.layer.10.attention.output.dense.weight": "model-00001-of-00002.safetensors",
47
+ "aido_rna.encoder.layer.10.attention.self.key.bias": "model-00001-of-00002.safetensors",
48
+ "aido_rna.encoder.layer.10.attention.self.key.weight": "model-00001-of-00002.safetensors",
49
+ "aido_rna.encoder.layer.10.attention.self.query.bias": "model-00001-of-00002.safetensors",
50
+ "aido_rna.encoder.layer.10.attention.self.query.weight": "model-00001-of-00002.safetensors",
51
+ "aido_rna.encoder.layer.10.attention.self.value.bias": "model-00001-of-00002.safetensors",
52
+ "aido_rna.encoder.layer.10.attention.self.value.weight": "model-00001-of-00002.safetensors",
53
+ "aido_rna.encoder.layer.10.intermediate.dense.bias": "model-00001-of-00002.safetensors",
54
+ "aido_rna.encoder.layer.10.intermediate.dense.weight": "model-00001-of-00002.safetensors",
55
+ "aido_rna.encoder.layer.10.intermediate.gate.bias": "model-00001-of-00002.safetensors",
56
+ "aido_rna.encoder.layer.10.intermediate.gate.weight": "model-00001-of-00002.safetensors",
57
+ "aido_rna.encoder.layer.10.layer_norm.bias": "model-00001-of-00002.safetensors",
58
+ "aido_rna.encoder.layer.10.layer_norm.weight": "model-00001-of-00002.safetensors",
59
+ "aido_rna.encoder.layer.10.output.dense.bias": "model-00001-of-00002.safetensors",
60
+ "aido_rna.encoder.layer.10.output.dense.weight": "model-00001-of-00002.safetensors",
61
+ "aido_rna.encoder.layer.11.attention.layer_norm.bias": "model-00001-of-00002.safetensors",
62
+ "aido_rna.encoder.layer.11.attention.layer_norm.weight": "model-00001-of-00002.safetensors",
63
+ "aido_rna.encoder.layer.11.attention.output.dense.bias": "model-00001-of-00002.safetensors",
64
+ "aido_rna.encoder.layer.11.attention.output.dense.weight": "model-00001-of-00002.safetensors",
65
+ "aido_rna.encoder.layer.11.attention.self.key.bias": "model-00001-of-00002.safetensors",
66
+ "aido_rna.encoder.layer.11.attention.self.key.weight": "model-00001-of-00002.safetensors",
67
+ "aido_rna.encoder.layer.11.attention.self.query.bias": "model-00001-of-00002.safetensors",
68
+ "aido_rna.encoder.layer.11.attention.self.query.weight": "model-00001-of-00002.safetensors",
69
+ "aido_rna.encoder.layer.11.attention.self.value.bias": "model-00001-of-00002.safetensors",
70
+ "aido_rna.encoder.layer.11.attention.self.value.weight": "model-00001-of-00002.safetensors",
71
+ "aido_rna.encoder.layer.11.intermediate.dense.bias": "model-00001-of-00002.safetensors",
72
+ "aido_rna.encoder.layer.11.intermediate.dense.weight": "model-00001-of-00002.safetensors",
73
+ "aido_rna.encoder.layer.11.intermediate.gate.bias": "model-00001-of-00002.safetensors",
74
+ "aido_rna.encoder.layer.11.intermediate.gate.weight": "model-00001-of-00002.safetensors",
75
+ "aido_rna.encoder.layer.11.layer_norm.bias": "model-00001-of-00002.safetensors",
76
+ "aido_rna.encoder.layer.11.layer_norm.weight": "model-00001-of-00002.safetensors",
77
+ "aido_rna.encoder.layer.11.output.dense.bias": "model-00001-of-00002.safetensors",
78
+ "aido_rna.encoder.layer.11.output.dense.weight": "model-00001-of-00002.safetensors",
79
+ "aido_rna.encoder.layer.12.attention.layer_norm.bias": "model-00001-of-00002.safetensors",
80
+ "aido_rna.encoder.layer.12.attention.layer_norm.weight": "model-00001-of-00002.safetensors",
81
+ "aido_rna.encoder.layer.12.attention.output.dense.bias": "model-00001-of-00002.safetensors",
82
+ "aido_rna.encoder.layer.12.attention.output.dense.weight": "model-00001-of-00002.safetensors",
83
+ "aido_rna.encoder.layer.12.attention.self.key.bias": "model-00001-of-00002.safetensors",
84
+ "aido_rna.encoder.layer.12.attention.self.key.weight": "model-00001-of-00002.safetensors",
85
+ "aido_rna.encoder.layer.12.attention.self.query.bias": "model-00001-of-00002.safetensors",
86
+ "aido_rna.encoder.layer.12.attention.self.query.weight": "model-00001-of-00002.safetensors",
87
+ "aido_rna.encoder.layer.12.attention.self.value.bias": "model-00001-of-00002.safetensors",
88
+ "aido_rna.encoder.layer.12.attention.self.value.weight": "model-00001-of-00002.safetensors",
89
+ "aido_rna.encoder.layer.12.intermediate.dense.bias": "model-00001-of-00002.safetensors",
90
+ "aido_rna.encoder.layer.12.intermediate.dense.weight": "model-00001-of-00002.safetensors",
91
+ "aido_rna.encoder.layer.12.intermediate.gate.bias": "model-00001-of-00002.safetensors",
92
+ "aido_rna.encoder.layer.12.intermediate.gate.weight": "model-00001-of-00002.safetensors",
93
+ "aido_rna.encoder.layer.12.layer_norm.bias": "model-00001-of-00002.safetensors",
94
+ "aido_rna.encoder.layer.12.layer_norm.weight": "model-00001-of-00002.safetensors",
95
+ "aido_rna.encoder.layer.12.output.dense.bias": "model-00001-of-00002.safetensors",
96
+ "aido_rna.encoder.layer.12.output.dense.weight": "model-00001-of-00002.safetensors",
97
+ "aido_rna.encoder.layer.13.attention.layer_norm.bias": "model-00001-of-00002.safetensors",
98
+ "aido_rna.encoder.layer.13.attention.layer_norm.weight": "model-00001-of-00002.safetensors",
99
+ "aido_rna.encoder.layer.13.attention.output.dense.bias": "model-00001-of-00002.safetensors",
100
+ "aido_rna.encoder.layer.13.attention.output.dense.weight": "model-00001-of-00002.safetensors",
101
+ "aido_rna.encoder.layer.13.attention.self.key.bias": "model-00001-of-00002.safetensors",
102
+ "aido_rna.encoder.layer.13.attention.self.key.weight": "model-00001-of-00002.safetensors",
103
+ "aido_rna.encoder.layer.13.attention.self.query.bias": "model-00001-of-00002.safetensors",
104
+ "aido_rna.encoder.layer.13.attention.self.query.weight": "model-00001-of-00002.safetensors",
105
+ "aido_rna.encoder.layer.13.attention.self.value.bias": "model-00001-of-00002.safetensors",
106
+ "aido_rna.encoder.layer.13.attention.self.value.weight": "model-00001-of-00002.safetensors",
107
+ "aido_rna.encoder.layer.13.intermediate.dense.bias": "model-00001-of-00002.safetensors",
108
+ "aido_rna.encoder.layer.13.intermediate.dense.weight": "model-00001-of-00002.safetensors",
109
+ "aido_rna.encoder.layer.13.intermediate.gate.bias": "model-00001-of-00002.safetensors",
110
+ "aido_rna.encoder.layer.13.intermediate.gate.weight": "model-00001-of-00002.safetensors",
111
+ "aido_rna.encoder.layer.13.layer_norm.bias": "model-00001-of-00002.safetensors",
112
+ "aido_rna.encoder.layer.13.layer_norm.weight": "model-00001-of-00002.safetensors",
113
+ "aido_rna.encoder.layer.13.output.dense.bias": "model-00001-of-00002.safetensors",
114
+ "aido_rna.encoder.layer.13.output.dense.weight": "model-00001-of-00002.safetensors",
115
+ "aido_rna.encoder.layer.14.attention.layer_norm.bias": "model-00001-of-00002.safetensors",
116
+ "aido_rna.encoder.layer.14.attention.layer_norm.weight": "model-00001-of-00002.safetensors",
117
+ "aido_rna.encoder.layer.14.attention.output.dense.bias": "model-00001-of-00002.safetensors",
118
+ "aido_rna.encoder.layer.14.attention.output.dense.weight": "model-00001-of-00002.safetensors",
119
+ "aido_rna.encoder.layer.14.attention.self.key.bias": "model-00001-of-00002.safetensors",
120
+ "aido_rna.encoder.layer.14.attention.self.key.weight": "model-00001-of-00002.safetensors",
121
+ "aido_rna.encoder.layer.14.attention.self.query.bias": "model-00001-of-00002.safetensors",
122
+ "aido_rna.encoder.layer.14.attention.self.query.weight": "model-00001-of-00002.safetensors",
123
+ "aido_rna.encoder.layer.14.attention.self.value.bias": "model-00001-of-00002.safetensors",
124
+ "aido_rna.encoder.layer.14.attention.self.value.weight": "model-00001-of-00002.safetensors",
125
+ "aido_rna.encoder.layer.14.intermediate.dense.bias": "model-00001-of-00002.safetensors",
126
+ "aido_rna.encoder.layer.14.intermediate.dense.weight": "model-00001-of-00002.safetensors",
127
+ "aido_rna.encoder.layer.14.intermediate.gate.bias": "model-00001-of-00002.safetensors",
128
+ "aido_rna.encoder.layer.14.intermediate.gate.weight": "model-00001-of-00002.safetensors",
129
+ "aido_rna.encoder.layer.14.layer_norm.bias": "model-00001-of-00002.safetensors",
130
+ "aido_rna.encoder.layer.14.layer_norm.weight": "model-00001-of-00002.safetensors",
131
+ "aido_rna.encoder.layer.14.output.dense.bias": "model-00001-of-00002.safetensors",
132
+ "aido_rna.encoder.layer.14.output.dense.weight": "model-00001-of-00002.safetensors",
133
+ "aido_rna.encoder.layer.15.attention.layer_norm.bias": "model-00001-of-00002.safetensors",
134
+ "aido_rna.encoder.layer.15.attention.layer_norm.weight": "model-00001-of-00002.safetensors",
135
+ "aido_rna.encoder.layer.15.attention.output.dense.bias": "model-00001-of-00002.safetensors",
136
+ "aido_rna.encoder.layer.15.attention.output.dense.weight": "model-00001-of-00002.safetensors",
137
+ "aido_rna.encoder.layer.15.attention.self.key.bias": "model-00001-of-00002.safetensors",
138
+ "aido_rna.encoder.layer.15.attention.self.key.weight": "model-00001-of-00002.safetensors",
139
+ "aido_rna.encoder.layer.15.attention.self.query.bias": "model-00001-of-00002.safetensors",
140
+ "aido_rna.encoder.layer.15.attention.self.query.weight": "model-00001-of-00002.safetensors",
141
+ "aido_rna.encoder.layer.15.attention.self.value.bias": "model-00001-of-00002.safetensors",
142
+ "aido_rna.encoder.layer.15.attention.self.value.weight": "model-00001-of-00002.safetensors",
143
+ "aido_rna.encoder.layer.15.intermediate.dense.bias": "model-00001-of-00002.safetensors",
144
+ "aido_rna.encoder.layer.15.intermediate.dense.weight": "model-00001-of-00002.safetensors",
145
+ "aido_rna.encoder.layer.15.intermediate.gate.bias": "model-00001-of-00002.safetensors",
146
+ "aido_rna.encoder.layer.15.intermediate.gate.weight": "model-00001-of-00002.safetensors",
147
+ "aido_rna.encoder.layer.15.layer_norm.bias": "model-00001-of-00002.safetensors",
148
+ "aido_rna.encoder.layer.15.layer_norm.weight": "model-00001-of-00002.safetensors",
149
+ "aido_rna.encoder.layer.15.output.dense.bias": "model-00001-of-00002.safetensors",
150
+ "aido_rna.encoder.layer.15.output.dense.weight": "model-00001-of-00002.safetensors",
151
+ "aido_rna.encoder.layer.16.attention.layer_norm.bias": "model-00001-of-00002.safetensors",
152
+ "aido_rna.encoder.layer.16.attention.layer_norm.weight": "model-00001-of-00002.safetensors",
153
+ "aido_rna.encoder.layer.16.attention.output.dense.bias": "model-00001-of-00002.safetensors",
154
+ "aido_rna.encoder.layer.16.attention.output.dense.weight": "model-00001-of-00002.safetensors",
155
+ "aido_rna.encoder.layer.16.attention.self.key.bias": "model-00001-of-00002.safetensors",
156
+ "aido_rna.encoder.layer.16.attention.self.key.weight": "model-00001-of-00002.safetensors",
157
+ "aido_rna.encoder.layer.16.attention.self.query.bias": "model-00001-of-00002.safetensors",
158
+ "aido_rna.encoder.layer.16.attention.self.query.weight": "model-00001-of-00002.safetensors",
159
+ "aido_rna.encoder.layer.16.attention.self.value.bias": "model-00001-of-00002.safetensors",
160
+ "aido_rna.encoder.layer.16.attention.self.value.weight": "model-00001-of-00002.safetensors",
161
+ "aido_rna.encoder.layer.16.intermediate.dense.bias": "model-00001-of-00002.safetensors",
162
+ "aido_rna.encoder.layer.16.intermediate.dense.weight": "model-00001-of-00002.safetensors",
163
+ "aido_rna.encoder.layer.16.intermediate.gate.bias": "model-00001-of-00002.safetensors",
164
+ "aido_rna.encoder.layer.16.intermediate.gate.weight": "model-00001-of-00002.safetensors",
165
+ "aido_rna.encoder.layer.16.layer_norm.bias": "model-00001-of-00002.safetensors",
166
+ "aido_rna.encoder.layer.16.layer_norm.weight": "model-00001-of-00002.safetensors",
167
+ "aido_rna.encoder.layer.16.output.dense.bias": "model-00001-of-00002.safetensors",
168
+ "aido_rna.encoder.layer.16.output.dense.weight": "model-00001-of-00002.safetensors",
169
+ "aido_rna.encoder.layer.17.attention.layer_norm.bias": "model-00001-of-00002.safetensors",
170
+ "aido_rna.encoder.layer.17.attention.layer_norm.weight": "model-00001-of-00002.safetensors",
171
+ "aido_rna.encoder.layer.17.attention.output.dense.bias": "model-00001-of-00002.safetensors",
172
+ "aido_rna.encoder.layer.17.attention.output.dense.weight": "model-00001-of-00002.safetensors",
173
+ "aido_rna.encoder.layer.17.attention.self.key.bias": "model-00001-of-00002.safetensors",
174
+ "aido_rna.encoder.layer.17.attention.self.key.weight": "model-00001-of-00002.safetensors",
175
+ "aido_rna.encoder.layer.17.attention.self.query.bias": "model-00001-of-00002.safetensors",
176
+ "aido_rna.encoder.layer.17.attention.self.query.weight": "model-00001-of-00002.safetensors",
177
+ "aido_rna.encoder.layer.17.attention.self.value.bias": "model-00001-of-00002.safetensors",
178
+ "aido_rna.encoder.layer.17.attention.self.value.weight": "model-00001-of-00002.safetensors",
179
+ "aido_rna.encoder.layer.17.intermediate.dense.bias": "model-00001-of-00002.safetensors",
180
+ "aido_rna.encoder.layer.17.intermediate.dense.weight": "model-00001-of-00002.safetensors",
181
+ "aido_rna.encoder.layer.17.intermediate.gate.bias": "model-00001-of-00002.safetensors",
182
+ "aido_rna.encoder.layer.17.intermediate.gate.weight": "model-00001-of-00002.safetensors",
183
+ "aido_rna.encoder.layer.17.layer_norm.bias": "model-00001-of-00002.safetensors",
184
+ "aido_rna.encoder.layer.17.layer_norm.weight": "model-00001-of-00002.safetensors",
185
+ "aido_rna.encoder.layer.17.output.dense.bias": "model-00001-of-00002.safetensors",
186
+ "aido_rna.encoder.layer.17.output.dense.weight": "model-00001-of-00002.safetensors",
187
+ "aido_rna.encoder.layer.18.attention.layer_norm.bias": "model-00001-of-00002.safetensors",
188
+ "aido_rna.encoder.layer.18.attention.layer_norm.weight": "model-00001-of-00002.safetensors",
189
+ "aido_rna.encoder.layer.18.attention.output.dense.bias": "model-00001-of-00002.safetensors",
190
+ "aido_rna.encoder.layer.18.attention.output.dense.weight": "model-00001-of-00002.safetensors",
191
+ "aido_rna.encoder.layer.18.attention.self.key.bias": "model-00001-of-00002.safetensors",
192
+ "aido_rna.encoder.layer.18.attention.self.key.weight": "model-00001-of-00002.safetensors",
193
+ "aido_rna.encoder.layer.18.attention.self.query.bias": "model-00001-of-00002.safetensors",
194
+ "aido_rna.encoder.layer.18.attention.self.query.weight": "model-00001-of-00002.safetensors",
195
+ "aido_rna.encoder.layer.18.attention.self.value.bias": "model-00001-of-00002.safetensors",
196
+ "aido_rna.encoder.layer.18.attention.self.value.weight": "model-00001-of-00002.safetensors",
197
+ "aido_rna.encoder.layer.18.intermediate.dense.bias": "model-00001-of-00002.safetensors",
198
+ "aido_rna.encoder.layer.18.intermediate.dense.weight": "model-00001-of-00002.safetensors",
199
+ "aido_rna.encoder.layer.18.intermediate.gate.bias": "model-00001-of-00002.safetensors",
200
+ "aido_rna.encoder.layer.18.intermediate.gate.weight": "model-00001-of-00002.safetensors",
201
+ "aido_rna.encoder.layer.18.layer_norm.bias": "model-00001-of-00002.safetensors",
202
+ "aido_rna.encoder.layer.18.layer_norm.weight": "model-00001-of-00002.safetensors",
203
+ "aido_rna.encoder.layer.18.output.dense.bias": "model-00001-of-00002.safetensors",
204
+ "aido_rna.encoder.layer.18.output.dense.weight": "model-00001-of-00002.safetensors",
205
+ "aido_rna.encoder.layer.19.attention.layer_norm.bias": "model-00001-of-00002.safetensors",
206
+ "aido_rna.encoder.layer.19.attention.layer_norm.weight": "model-00001-of-00002.safetensors",
207
+ "aido_rna.encoder.layer.19.attention.output.dense.bias": "model-00001-of-00002.safetensors",
208
+ "aido_rna.encoder.layer.19.attention.output.dense.weight": "model-00001-of-00002.safetensors",
209
+ "aido_rna.encoder.layer.19.attention.self.key.bias": "model-00001-of-00002.safetensors",
210
+ "aido_rna.encoder.layer.19.attention.self.key.weight": "model-00001-of-00002.safetensors",
211
+ "aido_rna.encoder.layer.19.attention.self.query.bias": "model-00001-of-00002.safetensors",
212
+ "aido_rna.encoder.layer.19.attention.self.query.weight": "model-00001-of-00002.safetensors",
213
+ "aido_rna.encoder.layer.19.attention.self.value.bias": "model-00001-of-00002.safetensors",
214
+ "aido_rna.encoder.layer.19.attention.self.value.weight": "model-00001-of-00002.safetensors",
215
+ "aido_rna.encoder.layer.19.intermediate.dense.bias": "model-00001-of-00002.safetensors",
216
+ "aido_rna.encoder.layer.19.intermediate.dense.weight": "model-00001-of-00002.safetensors",
217
+ "aido_rna.encoder.layer.19.intermediate.gate.bias": "model-00001-of-00002.safetensors",
218
+ "aido_rna.encoder.layer.19.intermediate.gate.weight": "model-00001-of-00002.safetensors",
219
+ "aido_rna.encoder.layer.19.layer_norm.bias": "model-00001-of-00002.safetensors",
220
+ "aido_rna.encoder.layer.19.layer_norm.weight": "model-00001-of-00002.safetensors",
221
+ "aido_rna.encoder.layer.19.output.dense.bias": "model-00001-of-00002.safetensors",
222
+ "aido_rna.encoder.layer.19.output.dense.weight": "model-00001-of-00002.safetensors",
223
+ "aido_rna.encoder.layer.2.attention.layer_norm.bias": "model-00001-of-00002.safetensors",
224
+ "aido_rna.encoder.layer.2.attention.layer_norm.weight": "model-00001-of-00002.safetensors",
225
+ "aido_rna.encoder.layer.2.attention.output.dense.bias": "model-00001-of-00002.safetensors",
226
+ "aido_rna.encoder.layer.2.attention.output.dense.weight": "model-00001-of-00002.safetensors",
227
+ "aido_rna.encoder.layer.2.attention.self.key.bias": "model-00001-of-00002.safetensors",
228
+ "aido_rna.encoder.layer.2.attention.self.key.weight": "model-00001-of-00002.safetensors",
229
+ "aido_rna.encoder.layer.2.attention.self.query.bias": "model-00001-of-00002.safetensors",
230
+ "aido_rna.encoder.layer.2.attention.self.query.weight": "model-00001-of-00002.safetensors",
231
+ "aido_rna.encoder.layer.2.attention.self.value.bias": "model-00001-of-00002.safetensors",
232
+ "aido_rna.encoder.layer.2.attention.self.value.weight": "model-00001-of-00002.safetensors",
233
+ "aido_rna.encoder.layer.2.intermediate.dense.bias": "model-00001-of-00002.safetensors",
234
+ "aido_rna.encoder.layer.2.intermediate.dense.weight": "model-00001-of-00002.safetensors",
235
+ "aido_rna.encoder.layer.2.intermediate.gate.bias": "model-00001-of-00002.safetensors",
236
+ "aido_rna.encoder.layer.2.intermediate.gate.weight": "model-00001-of-00002.safetensors",
237
+ "aido_rna.encoder.layer.2.layer_norm.bias": "model-00001-of-00002.safetensors",
238
+ "aido_rna.encoder.layer.2.layer_norm.weight": "model-00001-of-00002.safetensors",
239
+ "aido_rna.encoder.layer.2.output.dense.bias": "model-00001-of-00002.safetensors",
240
+ "aido_rna.encoder.layer.2.output.dense.weight": "model-00001-of-00002.safetensors",
241
+ "aido_rna.encoder.layer.20.attention.layer_norm.bias": "model-00001-of-00002.safetensors",
242
+ "aido_rna.encoder.layer.20.attention.layer_norm.weight": "model-00001-of-00002.safetensors",
243
+ "aido_rna.encoder.layer.20.attention.output.dense.bias": "model-00001-of-00002.safetensors",
244
+ "aido_rna.encoder.layer.20.attention.output.dense.weight": "model-00001-of-00002.safetensors",
245
+ "aido_rna.encoder.layer.20.attention.self.key.bias": "model-00001-of-00002.safetensors",
246
+ "aido_rna.encoder.layer.20.attention.self.key.weight": "model-00001-of-00002.safetensors",
247
+ "aido_rna.encoder.layer.20.attention.self.query.bias": "model-00001-of-00002.safetensors",
248
+ "aido_rna.encoder.layer.20.attention.self.query.weight": "model-00001-of-00002.safetensors",
249
+ "aido_rna.encoder.layer.20.attention.self.value.bias": "model-00001-of-00002.safetensors",
250
+ "aido_rna.encoder.layer.20.attention.self.value.weight": "model-00001-of-00002.safetensors",
251
+ "aido_rna.encoder.layer.20.intermediate.dense.bias": "model-00001-of-00002.safetensors",
252
+ "aido_rna.encoder.layer.20.intermediate.dense.weight": "model-00001-of-00002.safetensors",
253
+ "aido_rna.encoder.layer.20.intermediate.gate.bias": "model-00001-of-00002.safetensors",
254
+ "aido_rna.encoder.layer.20.intermediate.gate.weight": "model-00001-of-00002.safetensors",
255
+ "aido_rna.encoder.layer.20.layer_norm.bias": "model-00001-of-00002.safetensors",
256
+ "aido_rna.encoder.layer.20.layer_norm.weight": "model-00001-of-00002.safetensors",
257
+ "aido_rna.encoder.layer.20.output.dense.bias": "model-00001-of-00002.safetensors",
258
+ "aido_rna.encoder.layer.20.output.dense.weight": "model-00001-of-00002.safetensors",
259
+ "aido_rna.encoder.layer.21.attention.layer_norm.bias": "model-00001-of-00002.safetensors",
260
+ "aido_rna.encoder.layer.21.attention.layer_norm.weight": "model-00001-of-00002.safetensors",
261
+ "aido_rna.encoder.layer.21.attention.output.dense.bias": "model-00001-of-00002.safetensors",
262
+ "aido_rna.encoder.layer.21.attention.output.dense.weight": "model-00001-of-00002.safetensors",
263
+ "aido_rna.encoder.layer.21.attention.self.key.bias": "model-00001-of-00002.safetensors",
264
+ "aido_rna.encoder.layer.21.attention.self.key.weight": "model-00001-of-00002.safetensors",
265
+ "aido_rna.encoder.layer.21.attention.self.query.bias": "model-00001-of-00002.safetensors",
266
+ "aido_rna.encoder.layer.21.attention.self.query.weight": "model-00001-of-00002.safetensors",
267
+ "aido_rna.encoder.layer.21.attention.self.value.bias": "model-00001-of-00002.safetensors",
268
+ "aido_rna.encoder.layer.21.attention.self.value.weight": "model-00001-of-00002.safetensors",
269
+ "aido_rna.encoder.layer.21.intermediate.dense.bias": "model-00001-of-00002.safetensors",
270
+ "aido_rna.encoder.layer.21.intermediate.dense.weight": "model-00001-of-00002.safetensors",
271
+ "aido_rna.encoder.layer.21.intermediate.gate.bias": "model-00001-of-00002.safetensors",
272
+ "aido_rna.encoder.layer.21.intermediate.gate.weight": "model-00001-of-00002.safetensors",
273
+ "aido_rna.encoder.layer.21.layer_norm.bias": "model-00001-of-00002.safetensors",
274
+ "aido_rna.encoder.layer.21.layer_norm.weight": "model-00001-of-00002.safetensors",
275
+ "aido_rna.encoder.layer.21.output.dense.bias": "model-00001-of-00002.safetensors",
276
+ "aido_rna.encoder.layer.21.output.dense.weight": "model-00001-of-00002.safetensors",
277
+ "aido_rna.encoder.layer.22.attention.layer_norm.bias": "model-00001-of-00002.safetensors",
278
+ "aido_rna.encoder.layer.22.attention.layer_norm.weight": "model-00001-of-00002.safetensors",
279
+ "aido_rna.encoder.layer.22.attention.output.dense.bias": "model-00001-of-00002.safetensors",
280
+ "aido_rna.encoder.layer.22.attention.output.dense.weight": "model-00001-of-00002.safetensors",
281
+ "aido_rna.encoder.layer.22.attention.self.key.bias": "model-00001-of-00002.safetensors",
282
+ "aido_rna.encoder.layer.22.attention.self.key.weight": "model-00001-of-00002.safetensors",
283
+ "aido_rna.encoder.layer.22.attention.self.query.bias": "model-00001-of-00002.safetensors",
284
+ "aido_rna.encoder.layer.22.attention.self.query.weight": "model-00001-of-00002.safetensors",
285
+ "aido_rna.encoder.layer.22.attention.self.value.bias": "model-00001-of-00002.safetensors",
286
+ "aido_rna.encoder.layer.22.attention.self.value.weight": "model-00001-of-00002.safetensors",
287
+ "aido_rna.encoder.layer.22.intermediate.dense.bias": "model-00001-of-00002.safetensors",
288
+ "aido_rna.encoder.layer.22.intermediate.dense.weight": "model-00001-of-00002.safetensors",
289
+ "aido_rna.encoder.layer.22.intermediate.gate.bias": "model-00001-of-00002.safetensors",
290
+ "aido_rna.encoder.layer.22.intermediate.gate.weight": "model-00001-of-00002.safetensors",
291
+ "aido_rna.encoder.layer.22.layer_norm.bias": "model-00001-of-00002.safetensors",
292
+ "aido_rna.encoder.layer.22.layer_norm.weight": "model-00001-of-00002.safetensors",
293
+ "aido_rna.encoder.layer.22.output.dense.bias": "model-00001-of-00002.safetensors",
294
+ "aido_rna.encoder.layer.22.output.dense.weight": "model-00001-of-00002.safetensors",
295
+ "aido_rna.encoder.layer.23.attention.layer_norm.bias": "model-00001-of-00002.safetensors",
296
+ "aido_rna.encoder.layer.23.attention.layer_norm.weight": "model-00001-of-00002.safetensors",
297
+ "aido_rna.encoder.layer.23.attention.output.dense.bias": "model-00001-of-00002.safetensors",
298
+ "aido_rna.encoder.layer.23.attention.output.dense.weight": "model-00001-of-00002.safetensors",
299
+ "aido_rna.encoder.layer.23.attention.self.key.bias": "model-00001-of-00002.safetensors",
300
+ "aido_rna.encoder.layer.23.attention.self.key.weight": "model-00001-of-00002.safetensors",
301
+ "aido_rna.encoder.layer.23.attention.self.query.bias": "model-00001-of-00002.safetensors",
302
+ "aido_rna.encoder.layer.23.attention.self.query.weight": "model-00001-of-00002.safetensors",
303
+ "aido_rna.encoder.layer.23.attention.self.value.bias": "model-00001-of-00002.safetensors",
304
+ "aido_rna.encoder.layer.23.attention.self.value.weight": "model-00001-of-00002.safetensors",
305
+ "aido_rna.encoder.layer.23.intermediate.dense.bias": "model-00001-of-00002.safetensors",
306
+ "aido_rna.encoder.layer.23.intermediate.dense.weight": "model-00001-of-00002.safetensors",
307
+ "aido_rna.encoder.layer.23.intermediate.gate.bias": "model-00001-of-00002.safetensors",
308
+ "aido_rna.encoder.layer.23.intermediate.gate.weight": "model-00001-of-00002.safetensors",
309
+ "aido_rna.encoder.layer.23.layer_norm.bias": "model-00001-of-00002.safetensors",
310
+ "aido_rna.encoder.layer.23.layer_norm.weight": "model-00001-of-00002.safetensors",
311
+ "aido_rna.encoder.layer.23.output.dense.bias": "model-00001-of-00002.safetensors",
312
+ "aido_rna.encoder.layer.23.output.dense.weight": "model-00001-of-00002.safetensors",
313
+ "aido_rna.encoder.layer.24.attention.layer_norm.bias": "model-00001-of-00002.safetensors",
314
+ "aido_rna.encoder.layer.24.attention.layer_norm.weight": "model-00001-of-00002.safetensors",
315
+ "aido_rna.encoder.layer.24.attention.output.dense.bias": "model-00001-of-00002.safetensors",
316
+ "aido_rna.encoder.layer.24.attention.output.dense.weight": "model-00001-of-00002.safetensors",
317
+ "aido_rna.encoder.layer.24.attention.self.key.bias": "model-00001-of-00002.safetensors",
318
+ "aido_rna.encoder.layer.24.attention.self.key.weight": "model-00001-of-00002.safetensors",
319
+ "aido_rna.encoder.layer.24.attention.self.query.bias": "model-00001-of-00002.safetensors",
320
+ "aido_rna.encoder.layer.24.attention.self.query.weight": "model-00001-of-00002.safetensors",
321
+ "aido_rna.encoder.layer.24.attention.self.value.bias": "model-00001-of-00002.safetensors",
322
+ "aido_rna.encoder.layer.24.attention.self.value.weight": "model-00001-of-00002.safetensors",
323
+ "aido_rna.encoder.layer.24.intermediate.dense.bias": "model-00001-of-00002.safetensors",
324
+ "aido_rna.encoder.layer.24.intermediate.dense.weight": "model-00001-of-00002.safetensors",
325
+ "aido_rna.encoder.layer.24.intermediate.gate.bias": "model-00001-of-00002.safetensors",
326
+ "aido_rna.encoder.layer.24.intermediate.gate.weight": "model-00001-of-00002.safetensors",
327
+ "aido_rna.encoder.layer.24.layer_norm.bias": "model-00001-of-00002.safetensors",
328
+ "aido_rna.encoder.layer.24.layer_norm.weight": "model-00001-of-00002.safetensors",
329
+ "aido_rna.encoder.layer.24.output.dense.bias": "model-00002-of-00002.safetensors",
330
+ "aido_rna.encoder.layer.24.output.dense.weight": "model-00002-of-00002.safetensors",
331
+ "aido_rna.encoder.layer.25.attention.layer_norm.bias": "model-00002-of-00002.safetensors",
332
+ "aido_rna.encoder.layer.25.attention.layer_norm.weight": "model-00002-of-00002.safetensors",
333
+ "aido_rna.encoder.layer.25.attention.output.dense.bias": "model-00002-of-00002.safetensors",
334
+ "aido_rna.encoder.layer.25.attention.output.dense.weight": "model-00002-of-00002.safetensors",
335
+ "aido_rna.encoder.layer.25.attention.self.key.bias": "model-00002-of-00002.safetensors",
336
+ "aido_rna.encoder.layer.25.attention.self.key.weight": "model-00002-of-00002.safetensors",
337
+ "aido_rna.encoder.layer.25.attention.self.query.bias": "model-00002-of-00002.safetensors",
338
+ "aido_rna.encoder.layer.25.attention.self.query.weight": "model-00002-of-00002.safetensors",
339
+ "aido_rna.encoder.layer.25.attention.self.value.bias": "model-00002-of-00002.safetensors",
340
+ "aido_rna.encoder.layer.25.attention.self.value.weight": "model-00002-of-00002.safetensors",
341
+ "aido_rna.encoder.layer.25.intermediate.dense.bias": "model-00002-of-00002.safetensors",
342
+ "aido_rna.encoder.layer.25.intermediate.dense.weight": "model-00002-of-00002.safetensors",
343
+ "aido_rna.encoder.layer.25.intermediate.gate.bias": "model-00002-of-00002.safetensors",
344
+ "aido_rna.encoder.layer.25.intermediate.gate.weight": "model-00002-of-00002.safetensors",
345
+ "aido_rna.encoder.layer.25.layer_norm.bias": "model-00002-of-00002.safetensors",
346
+ "aido_rna.encoder.layer.25.layer_norm.weight": "model-00002-of-00002.safetensors",
347
+ "aido_rna.encoder.layer.25.output.dense.bias": "model-00002-of-00002.safetensors",
348
+ "aido_rna.encoder.layer.25.output.dense.weight": "model-00002-of-00002.safetensors",
349
+ "aido_rna.encoder.layer.26.attention.layer_norm.bias": "model-00002-of-00002.safetensors",
350
+ "aido_rna.encoder.layer.26.attention.layer_norm.weight": "model-00002-of-00002.safetensors",
351
+ "aido_rna.encoder.layer.26.attention.output.dense.bias": "model-00002-of-00002.safetensors",
352
+ "aido_rna.encoder.layer.26.attention.output.dense.weight": "model-00002-of-00002.safetensors",
353
+ "aido_rna.encoder.layer.26.attention.self.key.bias": "model-00002-of-00002.safetensors",
354
+ "aido_rna.encoder.layer.26.attention.self.key.weight": "model-00002-of-00002.safetensors",
355
+ "aido_rna.encoder.layer.26.attention.self.query.bias": "model-00002-of-00002.safetensors",
356
+ "aido_rna.encoder.layer.26.attention.self.query.weight": "model-00002-of-00002.safetensors",
357
+ "aido_rna.encoder.layer.26.attention.self.value.bias": "model-00002-of-00002.safetensors",
358
+ "aido_rna.encoder.layer.26.attention.self.value.weight": "model-00002-of-00002.safetensors",
359
+ "aido_rna.encoder.layer.26.intermediate.dense.bias": "model-00002-of-00002.safetensors",
360
+ "aido_rna.encoder.layer.26.intermediate.dense.weight": "model-00002-of-00002.safetensors",
361
+ "aido_rna.encoder.layer.26.intermediate.gate.bias": "model-00002-of-00002.safetensors",
362
+ "aido_rna.encoder.layer.26.intermediate.gate.weight": "model-00002-of-00002.safetensors",
363
+ "aido_rna.encoder.layer.26.layer_norm.bias": "model-00002-of-00002.safetensors",
364
+ "aido_rna.encoder.layer.26.layer_norm.weight": "model-00002-of-00002.safetensors",
365
+ "aido_rna.encoder.layer.26.output.dense.bias": "model-00002-of-00002.safetensors",
366
+ "aido_rna.encoder.layer.26.output.dense.weight": "model-00002-of-00002.safetensors",
367
+ "aido_rna.encoder.layer.27.attention.layer_norm.bias": "model-00002-of-00002.safetensors",
368
+ "aido_rna.encoder.layer.27.attention.layer_norm.weight": "model-00002-of-00002.safetensors",
369
+ "aido_rna.encoder.layer.27.attention.output.dense.bias": "model-00002-of-00002.safetensors",
370
+ "aido_rna.encoder.layer.27.attention.output.dense.weight": "model-00002-of-00002.safetensors",
371
+ "aido_rna.encoder.layer.27.attention.self.key.bias": "model-00002-of-00002.safetensors",
372
+ "aido_rna.encoder.layer.27.attention.self.key.weight": "model-00002-of-00002.safetensors",
373
+ "aido_rna.encoder.layer.27.attention.self.query.bias": "model-00002-of-00002.safetensors",
374
+ "aido_rna.encoder.layer.27.attention.self.query.weight": "model-00002-of-00002.safetensors",
375
+ "aido_rna.encoder.layer.27.attention.self.value.bias": "model-00002-of-00002.safetensors",
376
+ "aido_rna.encoder.layer.27.attention.self.value.weight": "model-00002-of-00002.safetensors",
377
+ "aido_rna.encoder.layer.27.intermediate.dense.bias": "model-00002-of-00002.safetensors",
378
+ "aido_rna.encoder.layer.27.intermediate.dense.weight": "model-00002-of-00002.safetensors",
379
+ "aido_rna.encoder.layer.27.intermediate.gate.bias": "model-00002-of-00002.safetensors",
380
+ "aido_rna.encoder.layer.27.intermediate.gate.weight": "model-00002-of-00002.safetensors",
381
+ "aido_rna.encoder.layer.27.layer_norm.bias": "model-00002-of-00002.safetensors",
382
+ "aido_rna.encoder.layer.27.layer_norm.weight": "model-00002-of-00002.safetensors",
383
+ "aido_rna.encoder.layer.27.output.dense.bias": "model-00002-of-00002.safetensors",
384
+ "aido_rna.encoder.layer.27.output.dense.weight": "model-00002-of-00002.safetensors",
385
+ "aido_rna.encoder.layer.28.attention.layer_norm.bias": "model-00002-of-00002.safetensors",
386
+ "aido_rna.encoder.layer.28.attention.layer_norm.weight": "model-00002-of-00002.safetensors",
387
+ "aido_rna.encoder.layer.28.attention.output.dense.bias": "model-00002-of-00002.safetensors",
388
+ "aido_rna.encoder.layer.28.attention.output.dense.weight": "model-00002-of-00002.safetensors",
389
+ "aido_rna.encoder.layer.28.attention.self.key.bias": "model-00002-of-00002.safetensors",
390
+ "aido_rna.encoder.layer.28.attention.self.key.weight": "model-00002-of-00002.safetensors",
391
+ "aido_rna.encoder.layer.28.attention.self.query.bias": "model-00002-of-00002.safetensors",
392
+ "aido_rna.encoder.layer.28.attention.self.query.weight": "model-00002-of-00002.safetensors",
393
+ "aido_rna.encoder.layer.28.attention.self.value.bias": "model-00002-of-00002.safetensors",
394
+ "aido_rna.encoder.layer.28.attention.self.value.weight": "model-00002-of-00002.safetensors",
395
+ "aido_rna.encoder.layer.28.intermediate.dense.bias": "model-00002-of-00002.safetensors",
396
+ "aido_rna.encoder.layer.28.intermediate.dense.weight": "model-00002-of-00002.safetensors",
397
+ "aido_rna.encoder.layer.28.intermediate.gate.bias": "model-00002-of-00002.safetensors",
398
+ "aido_rna.encoder.layer.28.intermediate.gate.weight": "model-00002-of-00002.safetensors",
399
+ "aido_rna.encoder.layer.28.layer_norm.bias": "model-00002-of-00002.safetensors",
400
+ "aido_rna.encoder.layer.28.layer_norm.weight": "model-00002-of-00002.safetensors",
401
+ "aido_rna.encoder.layer.28.output.dense.bias": "model-00002-of-00002.safetensors",
402
+ "aido_rna.encoder.layer.28.output.dense.weight": "model-00002-of-00002.safetensors",
403
+ "aido_rna.encoder.layer.29.attention.layer_norm.bias": "model-00002-of-00002.safetensors",
404
+ "aido_rna.encoder.layer.29.attention.layer_norm.weight": "model-00002-of-00002.safetensors",
405
+ "aido_rna.encoder.layer.29.attention.output.dense.bias": "model-00002-of-00002.safetensors",
406
+ "aido_rna.encoder.layer.29.attention.output.dense.weight": "model-00002-of-00002.safetensors",
407
+ "aido_rna.encoder.layer.29.attention.self.key.bias": "model-00002-of-00002.safetensors",
408
+ "aido_rna.encoder.layer.29.attention.self.key.weight": "model-00002-of-00002.safetensors",
409
+ "aido_rna.encoder.layer.29.attention.self.query.bias": "model-00002-of-00002.safetensors",
410
+ "aido_rna.encoder.layer.29.attention.self.query.weight": "model-00002-of-00002.safetensors",
411
+ "aido_rna.encoder.layer.29.attention.self.value.bias": "model-00002-of-00002.safetensors",
412
+ "aido_rna.encoder.layer.29.attention.self.value.weight": "model-00002-of-00002.safetensors",
413
+ "aido_rna.encoder.layer.29.intermediate.dense.bias": "model-00002-of-00002.safetensors",
414
+ "aido_rna.encoder.layer.29.intermediate.dense.weight": "model-00002-of-00002.safetensors",
415
+ "aido_rna.encoder.layer.29.intermediate.gate.bias": "model-00002-of-00002.safetensors",
416
+ "aido_rna.encoder.layer.29.intermediate.gate.weight": "model-00002-of-00002.safetensors",
417
+ "aido_rna.encoder.layer.29.layer_norm.bias": "model-00002-of-00002.safetensors",
418
+ "aido_rna.encoder.layer.29.layer_norm.weight": "model-00002-of-00002.safetensors",
419
+ "aido_rna.encoder.layer.29.output.dense.bias": "model-00002-of-00002.safetensors",
420
+ "aido_rna.encoder.layer.29.output.dense.weight": "model-00002-of-00002.safetensors",
421
+ "aido_rna.encoder.layer.3.attention.layer_norm.bias": "model-00001-of-00002.safetensors",
422
+ "aido_rna.encoder.layer.3.attention.layer_norm.weight": "model-00001-of-00002.safetensors",
423
+ "aido_rna.encoder.layer.3.attention.output.dense.bias": "model-00001-of-00002.safetensors",
424
+ "aido_rna.encoder.layer.3.attention.output.dense.weight": "model-00001-of-00002.safetensors",
425
+ "aido_rna.encoder.layer.3.attention.self.key.bias": "model-00001-of-00002.safetensors",
426
+ "aido_rna.encoder.layer.3.attention.self.key.weight": "model-00001-of-00002.safetensors",
427
+ "aido_rna.encoder.layer.3.attention.self.query.bias": "model-00001-of-00002.safetensors",
428
+ "aido_rna.encoder.layer.3.attention.self.query.weight": "model-00001-of-00002.safetensors",
429
+ "aido_rna.encoder.layer.3.attention.self.value.bias": "model-00001-of-00002.safetensors",
430
+ "aido_rna.encoder.layer.3.attention.self.value.weight": "model-00001-of-00002.safetensors",
431
+ "aido_rna.encoder.layer.3.intermediate.dense.bias": "model-00001-of-00002.safetensors",
432
+ "aido_rna.encoder.layer.3.intermediate.dense.weight": "model-00001-of-00002.safetensors",
433
+ "aido_rna.encoder.layer.3.intermediate.gate.bias": "model-00001-of-00002.safetensors",
434
+ "aido_rna.encoder.layer.3.intermediate.gate.weight": "model-00001-of-00002.safetensors",
435
+ "aido_rna.encoder.layer.3.layer_norm.bias": "model-00001-of-00002.safetensors",
436
+ "aido_rna.encoder.layer.3.layer_norm.weight": "model-00001-of-00002.safetensors",
437
+ "aido_rna.encoder.layer.3.output.dense.bias": "model-00001-of-00002.safetensors",
438
+ "aido_rna.encoder.layer.3.output.dense.weight": "model-00001-of-00002.safetensors",
439
+ "aido_rna.encoder.layer.30.attention.layer_norm.bias": "model-00002-of-00002.safetensors",
440
+ "aido_rna.encoder.layer.30.attention.layer_norm.weight": "model-00002-of-00002.safetensors",
441
+ "aido_rna.encoder.layer.30.attention.output.dense.bias": "model-00002-of-00002.safetensors",
442
+ "aido_rna.encoder.layer.30.attention.output.dense.weight": "model-00002-of-00002.safetensors",
443
+ "aido_rna.encoder.layer.30.attention.self.key.bias": "model-00002-of-00002.safetensors",
444
+ "aido_rna.encoder.layer.30.attention.self.key.weight": "model-00002-of-00002.safetensors",
445
+ "aido_rna.encoder.layer.30.attention.self.query.bias": "model-00002-of-00002.safetensors",
446
+ "aido_rna.encoder.layer.30.attention.self.query.weight": "model-00002-of-00002.safetensors",
447
+ "aido_rna.encoder.layer.30.attention.self.value.bias": "model-00002-of-00002.safetensors",
448
+ "aido_rna.encoder.layer.30.attention.self.value.weight": "model-00002-of-00002.safetensors",
449
+ "aido_rna.encoder.layer.30.intermediate.dense.bias": "model-00002-of-00002.safetensors",
450
+ "aido_rna.encoder.layer.30.intermediate.dense.weight": "model-00002-of-00002.safetensors",
451
+ "aido_rna.encoder.layer.30.intermediate.gate.bias": "model-00002-of-00002.safetensors",
452
+ "aido_rna.encoder.layer.30.intermediate.gate.weight": "model-00002-of-00002.safetensors",
453
+ "aido_rna.encoder.layer.30.layer_norm.bias": "model-00002-of-00002.safetensors",
454
+ "aido_rna.encoder.layer.30.layer_norm.weight": "model-00002-of-00002.safetensors",
455
+ "aido_rna.encoder.layer.30.output.dense.bias": "model-00002-of-00002.safetensors",
456
+ "aido_rna.encoder.layer.30.output.dense.weight": "model-00002-of-00002.safetensors",
457
+ "aido_rna.encoder.layer.31.attention.layer_norm.bias": "model-00002-of-00002.safetensors",
458
+ "aido_rna.encoder.layer.31.attention.layer_norm.weight": "model-00002-of-00002.safetensors",
459
+ "aido_rna.encoder.layer.31.attention.output.dense.bias": "model-00002-of-00002.safetensors",
460
+ "aido_rna.encoder.layer.31.attention.output.dense.weight": "model-00002-of-00002.safetensors",
461
+ "aido_rna.encoder.layer.31.attention.self.key.bias": "model-00002-of-00002.safetensors",
462
+ "aido_rna.encoder.layer.31.attention.self.key.weight": "model-00002-of-00002.safetensors",
463
+ "aido_rna.encoder.layer.31.attention.self.query.bias": "model-00002-of-00002.safetensors",
464
+ "aido_rna.encoder.layer.31.attention.self.query.weight": "model-00002-of-00002.safetensors",
465
+ "aido_rna.encoder.layer.31.attention.self.value.bias": "model-00002-of-00002.safetensors",
466
+ "aido_rna.encoder.layer.31.attention.self.value.weight": "model-00002-of-00002.safetensors",
467
+ "aido_rna.encoder.layer.31.intermediate.dense.bias": "model-00002-of-00002.safetensors",
468
+ "aido_rna.encoder.layer.31.intermediate.dense.weight": "model-00002-of-00002.safetensors",
469
+ "aido_rna.encoder.layer.31.intermediate.gate.bias": "model-00002-of-00002.safetensors",
470
+ "aido_rna.encoder.layer.31.intermediate.gate.weight": "model-00002-of-00002.safetensors",
471
+ "aido_rna.encoder.layer.31.layer_norm.bias": "model-00002-of-00002.safetensors",
472
+ "aido_rna.encoder.layer.31.layer_norm.weight": "model-00002-of-00002.safetensors",
473
+ "aido_rna.encoder.layer.31.output.dense.bias": "model-00002-of-00002.safetensors",
474
+ "aido_rna.encoder.layer.31.output.dense.weight": "model-00002-of-00002.safetensors",
475
+ "aido_rna.encoder.layer.4.attention.layer_norm.bias": "model-00001-of-00002.safetensors",
476
+ "aido_rna.encoder.layer.4.attention.layer_norm.weight": "model-00001-of-00002.safetensors",
477
+ "aido_rna.encoder.layer.4.attention.output.dense.bias": "model-00001-of-00002.safetensors",
478
+ "aido_rna.encoder.layer.4.attention.output.dense.weight": "model-00001-of-00002.safetensors",
479
+ "aido_rna.encoder.layer.4.attention.self.key.bias": "model-00001-of-00002.safetensors",
480
+ "aido_rna.encoder.layer.4.attention.self.key.weight": "model-00001-of-00002.safetensors",
481
+ "aido_rna.encoder.layer.4.attention.self.query.bias": "model-00001-of-00002.safetensors",
482
+ "aido_rna.encoder.layer.4.attention.self.query.weight": "model-00001-of-00002.safetensors",
483
+ "aido_rna.encoder.layer.4.attention.self.value.bias": "model-00001-of-00002.safetensors",
484
+ "aido_rna.encoder.layer.4.attention.self.value.weight": "model-00001-of-00002.safetensors",
485
+ "aido_rna.encoder.layer.4.intermediate.dense.bias": "model-00001-of-00002.safetensors",
486
+ "aido_rna.encoder.layer.4.intermediate.dense.weight": "model-00001-of-00002.safetensors",
487
+ "aido_rna.encoder.layer.4.intermediate.gate.bias": "model-00001-of-00002.safetensors",
488
+ "aido_rna.encoder.layer.4.intermediate.gate.weight": "model-00001-of-00002.safetensors",
489
+ "aido_rna.encoder.layer.4.layer_norm.bias": "model-00001-of-00002.safetensors",
490
+ "aido_rna.encoder.layer.4.layer_norm.weight": "model-00001-of-00002.safetensors",
491
+ "aido_rna.encoder.layer.4.output.dense.bias": "model-00001-of-00002.safetensors",
492
+ "aido_rna.encoder.layer.4.output.dense.weight": "model-00001-of-00002.safetensors",
493
+ "aido_rna.encoder.layer.5.attention.layer_norm.bias": "model-00001-of-00002.safetensors",
494
+ "aido_rna.encoder.layer.5.attention.layer_norm.weight": "model-00001-of-00002.safetensors",
495
+ "aido_rna.encoder.layer.5.attention.output.dense.bias": "model-00001-of-00002.safetensors",
496
+ "aido_rna.encoder.layer.5.attention.output.dense.weight": "model-00001-of-00002.safetensors",
497
+ "aido_rna.encoder.layer.5.attention.self.key.bias": "model-00001-of-00002.safetensors",
498
+ "aido_rna.encoder.layer.5.attention.self.key.weight": "model-00001-of-00002.safetensors",
499
+ "aido_rna.encoder.layer.5.attention.self.query.bias": "model-00001-of-00002.safetensors",
500
+ "aido_rna.encoder.layer.5.attention.self.query.weight": "model-00001-of-00002.safetensors",
501
+ "aido_rna.encoder.layer.5.attention.self.value.bias": "model-00001-of-00002.safetensors",
502
+ "aido_rna.encoder.layer.5.attention.self.value.weight": "model-00001-of-00002.safetensors",
503
+ "aido_rna.encoder.layer.5.intermediate.dense.bias": "model-00001-of-00002.safetensors",
504
+ "aido_rna.encoder.layer.5.intermediate.dense.weight": "model-00001-of-00002.safetensors",
505
+ "aido_rna.encoder.layer.5.intermediate.gate.bias": "model-00001-of-00002.safetensors",
506
+ "aido_rna.encoder.layer.5.intermediate.gate.weight": "model-00001-of-00002.safetensors",
507
+ "aido_rna.encoder.layer.5.layer_norm.bias": "model-00001-of-00002.safetensors",
508
+ "aido_rna.encoder.layer.5.layer_norm.weight": "model-00001-of-00002.safetensors",
509
+ "aido_rna.encoder.layer.5.output.dense.bias": "model-00001-of-00002.safetensors",
510
+ "aido_rna.encoder.layer.5.output.dense.weight": "model-00001-of-00002.safetensors",
511
+ "aido_rna.encoder.layer.6.attention.layer_norm.bias": "model-00001-of-00002.safetensors",
512
+ "aido_rna.encoder.layer.6.attention.layer_norm.weight": "model-00001-of-00002.safetensors",
513
+ "aido_rna.encoder.layer.6.attention.output.dense.bias": "model-00001-of-00002.safetensors",
514
+ "aido_rna.encoder.layer.6.attention.output.dense.weight": "model-00001-of-00002.safetensors",
515
+ "aido_rna.encoder.layer.6.attention.self.key.bias": "model-00001-of-00002.safetensors",
516
+ "aido_rna.encoder.layer.6.attention.self.key.weight": "model-00001-of-00002.safetensors",
517
+ "aido_rna.encoder.layer.6.attention.self.query.bias": "model-00001-of-00002.safetensors",
518
+ "aido_rna.encoder.layer.6.attention.self.query.weight": "model-00001-of-00002.safetensors",
519
+ "aido_rna.encoder.layer.6.attention.self.value.bias": "model-00001-of-00002.safetensors",
520
+ "aido_rna.encoder.layer.6.attention.self.value.weight": "model-00001-of-00002.safetensors",
521
+ "aido_rna.encoder.layer.6.intermediate.dense.bias": "model-00001-of-00002.safetensors",
522
+ "aido_rna.encoder.layer.6.intermediate.dense.weight": "model-00001-of-00002.safetensors",
523
+ "aido_rna.encoder.layer.6.intermediate.gate.bias": "model-00001-of-00002.safetensors",
524
+ "aido_rna.encoder.layer.6.intermediate.gate.weight": "model-00001-of-00002.safetensors",
525
+ "aido_rna.encoder.layer.6.layer_norm.bias": "model-00001-of-00002.safetensors",
526
+ "aido_rna.encoder.layer.6.layer_norm.weight": "model-00001-of-00002.safetensors",
527
+ "aido_rna.encoder.layer.6.output.dense.bias": "model-00001-of-00002.safetensors",
528
+ "aido_rna.encoder.layer.6.output.dense.weight": "model-00001-of-00002.safetensors",
529
+ "aido_rna.encoder.layer.7.attention.layer_norm.bias": "model-00001-of-00002.safetensors",
530
+ "aido_rna.encoder.layer.7.attention.layer_norm.weight": "model-00001-of-00002.safetensors",
531
+ "aido_rna.encoder.layer.7.attention.output.dense.bias": "model-00001-of-00002.safetensors",
532
+ "aido_rna.encoder.layer.7.attention.output.dense.weight": "model-00001-of-00002.safetensors",
533
+ "aido_rna.encoder.layer.7.attention.self.key.bias": "model-00001-of-00002.safetensors",
534
+ "aido_rna.encoder.layer.7.attention.self.key.weight": "model-00001-of-00002.safetensors",
535
+ "aido_rna.encoder.layer.7.attention.self.query.bias": "model-00001-of-00002.safetensors",
536
+ "aido_rna.encoder.layer.7.attention.self.query.weight": "model-00001-of-00002.safetensors",
537
+ "aido_rna.encoder.layer.7.attention.self.value.bias": "model-00001-of-00002.safetensors",
538
+ "aido_rna.encoder.layer.7.attention.self.value.weight": "model-00001-of-00002.safetensors",
539
+ "aido_rna.encoder.layer.7.intermediate.dense.bias": "model-00001-of-00002.safetensors",
540
+ "aido_rna.encoder.layer.7.intermediate.dense.weight": "model-00001-of-00002.safetensors",
541
+ "aido_rna.encoder.layer.7.intermediate.gate.bias": "model-00001-of-00002.safetensors",
542
+ "aido_rna.encoder.layer.7.intermediate.gate.weight": "model-00001-of-00002.safetensors",
543
+ "aido_rna.encoder.layer.7.layer_norm.bias": "model-00001-of-00002.safetensors",
544
+ "aido_rna.encoder.layer.7.layer_norm.weight": "model-00001-of-00002.safetensors",
545
+ "aido_rna.encoder.layer.7.output.dense.bias": "model-00001-of-00002.safetensors",
546
+ "aido_rna.encoder.layer.7.output.dense.weight": "model-00001-of-00002.safetensors",
547
+ "aido_rna.encoder.layer.8.attention.layer_norm.bias": "model-00001-of-00002.safetensors",
548
+ "aido_rna.encoder.layer.8.attention.layer_norm.weight": "model-00001-of-00002.safetensors",
549
+ "aido_rna.encoder.layer.8.attention.output.dense.bias": "model-00001-of-00002.safetensors",
550
+ "aido_rna.encoder.layer.8.attention.output.dense.weight": "model-00001-of-00002.safetensors",
551
+ "aido_rna.encoder.layer.8.attention.self.key.bias": "model-00001-of-00002.safetensors",
552
+ "aido_rna.encoder.layer.8.attention.self.key.weight": "model-00001-of-00002.safetensors",
553
+ "aido_rna.encoder.layer.8.attention.self.query.bias": "model-00001-of-00002.safetensors",
554
+ "aido_rna.encoder.layer.8.attention.self.query.weight": "model-00001-of-00002.safetensors",
555
+ "aido_rna.encoder.layer.8.attention.self.value.bias": "model-00001-of-00002.safetensors",
556
+ "aido_rna.encoder.layer.8.attention.self.value.weight": "model-00001-of-00002.safetensors",
557
+ "aido_rna.encoder.layer.8.intermediate.dense.bias": "model-00001-of-00002.safetensors",
558
+ "aido_rna.encoder.layer.8.intermediate.dense.weight": "model-00001-of-00002.safetensors",
559
+ "aido_rna.encoder.layer.8.intermediate.gate.bias": "model-00001-of-00002.safetensors",
560
+ "aido_rna.encoder.layer.8.intermediate.gate.weight": "model-00001-of-00002.safetensors",
561
+ "aido_rna.encoder.layer.8.layer_norm.bias": "model-00001-of-00002.safetensors",
562
+ "aido_rna.encoder.layer.8.layer_norm.weight": "model-00001-of-00002.safetensors",
563
+ "aido_rna.encoder.layer.8.output.dense.bias": "model-00001-of-00002.safetensors",
564
+ "aido_rna.encoder.layer.8.output.dense.weight": "model-00001-of-00002.safetensors",
565
+ "aido_rna.encoder.layer.9.attention.layer_norm.bias": "model-00001-of-00002.safetensors",
566
+ "aido_rna.encoder.layer.9.attention.layer_norm.weight": "model-00001-of-00002.safetensors",
567
+ "aido_rna.encoder.layer.9.attention.output.dense.bias": "model-00001-of-00002.safetensors",
568
+ "aido_rna.encoder.layer.9.attention.output.dense.weight": "model-00001-of-00002.safetensors",
569
+ "aido_rna.encoder.layer.9.attention.self.key.bias": "model-00001-of-00002.safetensors",
570
+ "aido_rna.encoder.layer.9.attention.self.key.weight": "model-00001-of-00002.safetensors",
571
+ "aido_rna.encoder.layer.9.attention.self.query.bias": "model-00001-of-00002.safetensors",
572
+ "aido_rna.encoder.layer.9.attention.self.query.weight": "model-00001-of-00002.safetensors",
573
+ "aido_rna.encoder.layer.9.attention.self.value.bias": "model-00001-of-00002.safetensors",
574
+ "aido_rna.encoder.layer.9.attention.self.value.weight": "model-00001-of-00002.safetensors",
575
+ "aido_rna.encoder.layer.9.intermediate.dense.bias": "model-00001-of-00002.safetensors",
576
+ "aido_rna.encoder.layer.9.intermediate.dense.weight": "model-00001-of-00002.safetensors",
577
+ "aido_rna.encoder.layer.9.intermediate.gate.bias": "model-00001-of-00002.safetensors",
578
+ "aido_rna.encoder.layer.9.intermediate.gate.weight": "model-00001-of-00002.safetensors",
579
+ "aido_rna.encoder.layer.9.layer_norm.bias": "model-00001-of-00002.safetensors",
580
+ "aido_rna.encoder.layer.9.layer_norm.weight": "model-00001-of-00002.safetensors",
581
+ "aido_rna.encoder.layer.9.output.dense.bias": "model-00001-of-00002.safetensors",
582
+ "aido_rna.encoder.layer.9.output.dense.weight": "model-00001-of-00002.safetensors",
583
+ "aido_rna.encoder.layer_norm.bias": "model-00002-of-00002.safetensors",
584
+ "aido_rna.encoder.layer_norm.weight": "model-00002-of-00002.safetensors",
585
+ "lm_head.bias": "model-00002-of-00002.safetensors",
586
+ "lm_head.transform.dense.bias": "model-00002-of-00002.safetensors",
587
+ "lm_head.transform.dense.weight": "model-00002-of-00002.safetensors",
588
+ "lm_head.transform.layer_norm.bias": "model-00002-of-00002.safetensors",
589
+ "lm_head.transform.layer_norm.weight": "model-00002-of-00002.safetensors"
590
+ }
591
+ }
pytorch_model-00001-of-00002.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:76144a2491a010c5b4548776a5d6b245e3ac275f70ed4c0fc024da04588f50c4
3
+ size 4978786029
pytorch_model-00002-of-00002.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:0b9d906f9dc79be7b5dae9219204674b8b625e2b27a5da9a7d85fda2e433e414
3
+ size 1467874763
pytorch_model.bin.index.json ADDED
@@ -0,0 +1,593 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "metadata": {
3
+ "total_size": 6446456936
4
+ },
5
+ "weight_map": {
6
+ "aido_rna.embeddings.word_embeddings.weight": "pytorch_model-00001-of-00002.bin",
7
+ "aido_rna.encoder.layer.0.attention.layer_norm.bias": "pytorch_model-00001-of-00002.bin",
8
+ "aido_rna.encoder.layer.0.attention.layer_norm.weight": "pytorch_model-00001-of-00002.bin",
9
+ "aido_rna.encoder.layer.0.attention.output.dense.bias": "pytorch_model-00001-of-00002.bin",
10
+ "aido_rna.encoder.layer.0.attention.output.dense.weight": "pytorch_model-00001-of-00002.bin",
11
+ "aido_rna.encoder.layer.0.attention.self.key.bias": "pytorch_model-00001-of-00002.bin",
12
+ "aido_rna.encoder.layer.0.attention.self.key.weight": "pytorch_model-00001-of-00002.bin",
13
+ "aido_rna.encoder.layer.0.attention.self.query.bias": "pytorch_model-00001-of-00002.bin",
14
+ "aido_rna.encoder.layer.0.attention.self.query.weight": "pytorch_model-00001-of-00002.bin",
15
+ "aido_rna.encoder.layer.0.attention.self.value.bias": "pytorch_model-00001-of-00002.bin",
16
+ "aido_rna.encoder.layer.0.attention.self.value.weight": "pytorch_model-00001-of-00002.bin",
17
+ "aido_rna.encoder.layer.0.intermediate.dense.bias": "pytorch_model-00001-of-00002.bin",
18
+ "aido_rna.encoder.layer.0.intermediate.dense.weight": "pytorch_model-00001-of-00002.bin",
19
+ "aido_rna.encoder.layer.0.intermediate.gate.bias": "pytorch_model-00001-of-00002.bin",
20
+ "aido_rna.encoder.layer.0.intermediate.gate.weight": "pytorch_model-00001-of-00002.bin",
21
+ "aido_rna.encoder.layer.0.layer_norm.bias": "pytorch_model-00001-of-00002.bin",
22
+ "aido_rna.encoder.layer.0.layer_norm.weight": "pytorch_model-00001-of-00002.bin",
23
+ "aido_rna.encoder.layer.0.output.dense.bias": "pytorch_model-00001-of-00002.bin",
24
+ "aido_rna.encoder.layer.0.output.dense.weight": "pytorch_model-00001-of-00002.bin",
25
+ "aido_rna.encoder.layer.1.attention.layer_norm.bias": "pytorch_model-00001-of-00002.bin",
26
+ "aido_rna.encoder.layer.1.attention.layer_norm.weight": "pytorch_model-00001-of-00002.bin",
27
+ "aido_rna.encoder.layer.1.attention.output.dense.bias": "pytorch_model-00001-of-00002.bin",
28
+ "aido_rna.encoder.layer.1.attention.output.dense.weight": "pytorch_model-00001-of-00002.bin",
29
+ "aido_rna.encoder.layer.1.attention.self.key.bias": "pytorch_model-00001-of-00002.bin",
30
+ "aido_rna.encoder.layer.1.attention.self.key.weight": "pytorch_model-00001-of-00002.bin",
31
+ "aido_rna.encoder.layer.1.attention.self.query.bias": "pytorch_model-00001-of-00002.bin",
32
+ "aido_rna.encoder.layer.1.attention.self.query.weight": "pytorch_model-00001-of-00002.bin",
33
+ "aido_rna.encoder.layer.1.attention.self.value.bias": "pytorch_model-00001-of-00002.bin",
34
+ "aido_rna.encoder.layer.1.attention.self.value.weight": "pytorch_model-00001-of-00002.bin",
35
+ "aido_rna.encoder.layer.1.intermediate.dense.bias": "pytorch_model-00001-of-00002.bin",
36
+ "aido_rna.encoder.layer.1.intermediate.dense.weight": "pytorch_model-00001-of-00002.bin",
37
+ "aido_rna.encoder.layer.1.intermediate.gate.bias": "pytorch_model-00001-of-00002.bin",
38
+ "aido_rna.encoder.layer.1.intermediate.gate.weight": "pytorch_model-00001-of-00002.bin",
39
+ "aido_rna.encoder.layer.1.layer_norm.bias": "pytorch_model-00001-of-00002.bin",
40
+ "aido_rna.encoder.layer.1.layer_norm.weight": "pytorch_model-00001-of-00002.bin",
41
+ "aido_rna.encoder.layer.1.output.dense.bias": "pytorch_model-00001-of-00002.bin",
42
+ "aido_rna.encoder.layer.1.output.dense.weight": "pytorch_model-00001-of-00002.bin",
43
+ "aido_rna.encoder.layer.10.attention.layer_norm.bias": "pytorch_model-00001-of-00002.bin",
44
+ "aido_rna.encoder.layer.10.attention.layer_norm.weight": "pytorch_model-00001-of-00002.bin",
45
+ "aido_rna.encoder.layer.10.attention.output.dense.bias": "pytorch_model-00001-of-00002.bin",
46
+ "aido_rna.encoder.layer.10.attention.output.dense.weight": "pytorch_model-00001-of-00002.bin",
47
+ "aido_rna.encoder.layer.10.attention.self.key.bias": "pytorch_model-00001-of-00002.bin",
48
+ "aido_rna.encoder.layer.10.attention.self.key.weight": "pytorch_model-00001-of-00002.bin",
49
+ "aido_rna.encoder.layer.10.attention.self.query.bias": "pytorch_model-00001-of-00002.bin",
50
+ "aido_rna.encoder.layer.10.attention.self.query.weight": "pytorch_model-00001-of-00002.bin",
51
+ "aido_rna.encoder.layer.10.attention.self.value.bias": "pytorch_model-00001-of-00002.bin",
52
+ "aido_rna.encoder.layer.10.attention.self.value.weight": "pytorch_model-00001-of-00002.bin",
53
+ "aido_rna.encoder.layer.10.intermediate.dense.bias": "pytorch_model-00001-of-00002.bin",
54
+ "aido_rna.encoder.layer.10.intermediate.dense.weight": "pytorch_model-00001-of-00002.bin",
55
+ "aido_rna.encoder.layer.10.intermediate.gate.bias": "pytorch_model-00001-of-00002.bin",
56
+ "aido_rna.encoder.layer.10.intermediate.gate.weight": "pytorch_model-00001-of-00002.bin",
57
+ "aido_rna.encoder.layer.10.layer_norm.bias": "pytorch_model-00001-of-00002.bin",
58
+ "aido_rna.encoder.layer.10.layer_norm.weight": "pytorch_model-00001-of-00002.bin",
59
+ "aido_rna.encoder.layer.10.output.dense.bias": "pytorch_model-00001-of-00002.bin",
60
+ "aido_rna.encoder.layer.10.output.dense.weight": "pytorch_model-00001-of-00002.bin",
61
+ "aido_rna.encoder.layer.11.attention.layer_norm.bias": "pytorch_model-00001-of-00002.bin",
62
+ "aido_rna.encoder.layer.11.attention.layer_norm.weight": "pytorch_model-00001-of-00002.bin",
63
+ "aido_rna.encoder.layer.11.attention.output.dense.bias": "pytorch_model-00001-of-00002.bin",
64
+ "aido_rna.encoder.layer.11.attention.output.dense.weight": "pytorch_model-00001-of-00002.bin",
65
+ "aido_rna.encoder.layer.11.attention.self.key.bias": "pytorch_model-00001-of-00002.bin",
66
+ "aido_rna.encoder.layer.11.attention.self.key.weight": "pytorch_model-00001-of-00002.bin",
67
+ "aido_rna.encoder.layer.11.attention.self.query.bias": "pytorch_model-00001-of-00002.bin",
68
+ "aido_rna.encoder.layer.11.attention.self.query.weight": "pytorch_model-00001-of-00002.bin",
69
+ "aido_rna.encoder.layer.11.attention.self.value.bias": "pytorch_model-00001-of-00002.bin",
70
+ "aido_rna.encoder.layer.11.attention.self.value.weight": "pytorch_model-00001-of-00002.bin",
71
+ "aido_rna.encoder.layer.11.intermediate.dense.bias": "pytorch_model-00001-of-00002.bin",
72
+ "aido_rna.encoder.layer.11.intermediate.dense.weight": "pytorch_model-00001-of-00002.bin",
73
+ "aido_rna.encoder.layer.11.intermediate.gate.bias": "pytorch_model-00001-of-00002.bin",
74
+ "aido_rna.encoder.layer.11.intermediate.gate.weight": "pytorch_model-00001-of-00002.bin",
75
+ "aido_rna.encoder.layer.11.layer_norm.bias": "pytorch_model-00001-of-00002.bin",
76
+ "aido_rna.encoder.layer.11.layer_norm.weight": "pytorch_model-00001-of-00002.bin",
77
+ "aido_rna.encoder.layer.11.output.dense.bias": "pytorch_model-00001-of-00002.bin",
78
+ "aido_rna.encoder.layer.11.output.dense.weight": "pytorch_model-00001-of-00002.bin",
79
+ "aido_rna.encoder.layer.12.attention.layer_norm.bias": "pytorch_model-00001-of-00002.bin",
80
+ "aido_rna.encoder.layer.12.attention.layer_norm.weight": "pytorch_model-00001-of-00002.bin",
81
+ "aido_rna.encoder.layer.12.attention.output.dense.bias": "pytorch_model-00001-of-00002.bin",
82
+ "aido_rna.encoder.layer.12.attention.output.dense.weight": "pytorch_model-00001-of-00002.bin",
83
+ "aido_rna.encoder.layer.12.attention.self.key.bias": "pytorch_model-00001-of-00002.bin",
84
+ "aido_rna.encoder.layer.12.attention.self.key.weight": "pytorch_model-00001-of-00002.bin",
85
+ "aido_rna.encoder.layer.12.attention.self.query.bias": "pytorch_model-00001-of-00002.bin",
86
+ "aido_rna.encoder.layer.12.attention.self.query.weight": "pytorch_model-00001-of-00002.bin",
87
+ "aido_rna.encoder.layer.12.attention.self.value.bias": "pytorch_model-00001-of-00002.bin",
88
+ "aido_rna.encoder.layer.12.attention.self.value.weight": "pytorch_model-00001-of-00002.bin",
89
+ "aido_rna.encoder.layer.12.intermediate.dense.bias": "pytorch_model-00001-of-00002.bin",
90
+ "aido_rna.encoder.layer.12.intermediate.dense.weight": "pytorch_model-00001-of-00002.bin",
91
+ "aido_rna.encoder.layer.12.intermediate.gate.bias": "pytorch_model-00001-of-00002.bin",
92
+ "aido_rna.encoder.layer.12.intermediate.gate.weight": "pytorch_model-00001-of-00002.bin",
93
+ "aido_rna.encoder.layer.12.layer_norm.bias": "pytorch_model-00001-of-00002.bin",
94
+ "aido_rna.encoder.layer.12.layer_norm.weight": "pytorch_model-00001-of-00002.bin",
95
+ "aido_rna.encoder.layer.12.output.dense.bias": "pytorch_model-00001-of-00002.bin",
96
+ "aido_rna.encoder.layer.12.output.dense.weight": "pytorch_model-00001-of-00002.bin",
97
+ "aido_rna.encoder.layer.13.attention.layer_norm.bias": "pytorch_model-00001-of-00002.bin",
98
+ "aido_rna.encoder.layer.13.attention.layer_norm.weight": "pytorch_model-00001-of-00002.bin",
99
+ "aido_rna.encoder.layer.13.attention.output.dense.bias": "pytorch_model-00001-of-00002.bin",
100
+ "aido_rna.encoder.layer.13.attention.output.dense.weight": "pytorch_model-00001-of-00002.bin",
101
+ "aido_rna.encoder.layer.13.attention.self.key.bias": "pytorch_model-00001-of-00002.bin",
102
+ "aido_rna.encoder.layer.13.attention.self.key.weight": "pytorch_model-00001-of-00002.bin",
103
+ "aido_rna.encoder.layer.13.attention.self.query.bias": "pytorch_model-00001-of-00002.bin",
104
+ "aido_rna.encoder.layer.13.attention.self.query.weight": "pytorch_model-00001-of-00002.bin",
105
+ "aido_rna.encoder.layer.13.attention.self.value.bias": "pytorch_model-00001-of-00002.bin",
106
+ "aido_rna.encoder.layer.13.attention.self.value.weight": "pytorch_model-00001-of-00002.bin",
107
+ "aido_rna.encoder.layer.13.intermediate.dense.bias": "pytorch_model-00001-of-00002.bin",
108
+ "aido_rna.encoder.layer.13.intermediate.dense.weight": "pytorch_model-00001-of-00002.bin",
109
+ "aido_rna.encoder.layer.13.intermediate.gate.bias": "pytorch_model-00001-of-00002.bin",
110
+ "aido_rna.encoder.layer.13.intermediate.gate.weight": "pytorch_model-00001-of-00002.bin",
111
+ "aido_rna.encoder.layer.13.layer_norm.bias": "pytorch_model-00001-of-00002.bin",
112
+ "aido_rna.encoder.layer.13.layer_norm.weight": "pytorch_model-00001-of-00002.bin",
113
+ "aido_rna.encoder.layer.13.output.dense.bias": "pytorch_model-00001-of-00002.bin",
114
+ "aido_rna.encoder.layer.13.output.dense.weight": "pytorch_model-00001-of-00002.bin",
115
+ "aido_rna.encoder.layer.14.attention.layer_norm.bias": "pytorch_model-00001-of-00002.bin",
116
+ "aido_rna.encoder.layer.14.attention.layer_norm.weight": "pytorch_model-00001-of-00002.bin",
117
+ "aido_rna.encoder.layer.14.attention.output.dense.bias": "pytorch_model-00001-of-00002.bin",
118
+ "aido_rna.encoder.layer.14.attention.output.dense.weight": "pytorch_model-00001-of-00002.bin",
119
+ "aido_rna.encoder.layer.14.attention.self.key.bias": "pytorch_model-00001-of-00002.bin",
120
+ "aido_rna.encoder.layer.14.attention.self.key.weight": "pytorch_model-00001-of-00002.bin",
121
+ "aido_rna.encoder.layer.14.attention.self.query.bias": "pytorch_model-00001-of-00002.bin",
122
+ "aido_rna.encoder.layer.14.attention.self.query.weight": "pytorch_model-00001-of-00002.bin",
123
+ "aido_rna.encoder.layer.14.attention.self.value.bias": "pytorch_model-00001-of-00002.bin",
124
+ "aido_rna.encoder.layer.14.attention.self.value.weight": "pytorch_model-00001-of-00002.bin",
125
+ "aido_rna.encoder.layer.14.intermediate.dense.bias": "pytorch_model-00001-of-00002.bin",
126
+ "aido_rna.encoder.layer.14.intermediate.dense.weight": "pytorch_model-00001-of-00002.bin",
127
+ "aido_rna.encoder.layer.14.intermediate.gate.bias": "pytorch_model-00001-of-00002.bin",
128
+ "aido_rna.encoder.layer.14.intermediate.gate.weight": "pytorch_model-00001-of-00002.bin",
129
+ "aido_rna.encoder.layer.14.layer_norm.bias": "pytorch_model-00001-of-00002.bin",
130
+ "aido_rna.encoder.layer.14.layer_norm.weight": "pytorch_model-00001-of-00002.bin",
131
+ "aido_rna.encoder.layer.14.output.dense.bias": "pytorch_model-00001-of-00002.bin",
132
+ "aido_rna.encoder.layer.14.output.dense.weight": "pytorch_model-00001-of-00002.bin",
133
+ "aido_rna.encoder.layer.15.attention.layer_norm.bias": "pytorch_model-00001-of-00002.bin",
134
+ "aido_rna.encoder.layer.15.attention.layer_norm.weight": "pytorch_model-00001-of-00002.bin",
135
+ "aido_rna.encoder.layer.15.attention.output.dense.bias": "pytorch_model-00001-of-00002.bin",
136
+ "aido_rna.encoder.layer.15.attention.output.dense.weight": "pytorch_model-00001-of-00002.bin",
137
+ "aido_rna.encoder.layer.15.attention.self.key.bias": "pytorch_model-00001-of-00002.bin",
138
+ "aido_rna.encoder.layer.15.attention.self.key.weight": "pytorch_model-00001-of-00002.bin",
139
+ "aido_rna.encoder.layer.15.attention.self.query.bias": "pytorch_model-00001-of-00002.bin",
140
+ "aido_rna.encoder.layer.15.attention.self.query.weight": "pytorch_model-00001-of-00002.bin",
141
+ "aido_rna.encoder.layer.15.attention.self.value.bias": "pytorch_model-00001-of-00002.bin",
142
+ "aido_rna.encoder.layer.15.attention.self.value.weight": "pytorch_model-00001-of-00002.bin",
143
+ "aido_rna.encoder.layer.15.intermediate.dense.bias": "pytorch_model-00001-of-00002.bin",
144
+ "aido_rna.encoder.layer.15.intermediate.dense.weight": "pytorch_model-00001-of-00002.bin",
145
+ "aido_rna.encoder.layer.15.intermediate.gate.bias": "pytorch_model-00001-of-00002.bin",
146
+ "aido_rna.encoder.layer.15.intermediate.gate.weight": "pytorch_model-00001-of-00002.bin",
147
+ "aido_rna.encoder.layer.15.layer_norm.bias": "pytorch_model-00001-of-00002.bin",
148
+ "aido_rna.encoder.layer.15.layer_norm.weight": "pytorch_model-00001-of-00002.bin",
149
+ "aido_rna.encoder.layer.15.output.dense.bias": "pytorch_model-00001-of-00002.bin",
150
+ "aido_rna.encoder.layer.15.output.dense.weight": "pytorch_model-00001-of-00002.bin",
151
+ "aido_rna.encoder.layer.16.attention.layer_norm.bias": "pytorch_model-00001-of-00002.bin",
152
+ "aido_rna.encoder.layer.16.attention.layer_norm.weight": "pytorch_model-00001-of-00002.bin",
153
+ "aido_rna.encoder.layer.16.attention.output.dense.bias": "pytorch_model-00001-of-00002.bin",
154
+ "aido_rna.encoder.layer.16.attention.output.dense.weight": "pytorch_model-00001-of-00002.bin",
155
+ "aido_rna.encoder.layer.16.attention.self.key.bias": "pytorch_model-00001-of-00002.bin",
156
+ "aido_rna.encoder.layer.16.attention.self.key.weight": "pytorch_model-00001-of-00002.bin",
157
+ "aido_rna.encoder.layer.16.attention.self.query.bias": "pytorch_model-00001-of-00002.bin",
158
+ "aido_rna.encoder.layer.16.attention.self.query.weight": "pytorch_model-00001-of-00002.bin",
159
+ "aido_rna.encoder.layer.16.attention.self.value.bias": "pytorch_model-00001-of-00002.bin",
160
+ "aido_rna.encoder.layer.16.attention.self.value.weight": "pytorch_model-00001-of-00002.bin",
161
+ "aido_rna.encoder.layer.16.intermediate.dense.bias": "pytorch_model-00001-of-00002.bin",
162
+ "aido_rna.encoder.layer.16.intermediate.dense.weight": "pytorch_model-00001-of-00002.bin",
163
+ "aido_rna.encoder.layer.16.intermediate.gate.bias": "pytorch_model-00001-of-00002.bin",
164
+ "aido_rna.encoder.layer.16.intermediate.gate.weight": "pytorch_model-00001-of-00002.bin",
165
+ "aido_rna.encoder.layer.16.layer_norm.bias": "pytorch_model-00001-of-00002.bin",
166
+ "aido_rna.encoder.layer.16.layer_norm.weight": "pytorch_model-00001-of-00002.bin",
167
+ "aido_rna.encoder.layer.16.output.dense.bias": "pytorch_model-00001-of-00002.bin",
168
+ "aido_rna.encoder.layer.16.output.dense.weight": "pytorch_model-00001-of-00002.bin",
169
+ "aido_rna.encoder.layer.17.attention.layer_norm.bias": "pytorch_model-00001-of-00002.bin",
170
+ "aido_rna.encoder.layer.17.attention.layer_norm.weight": "pytorch_model-00001-of-00002.bin",
171
+ "aido_rna.encoder.layer.17.attention.output.dense.bias": "pytorch_model-00001-of-00002.bin",
172
+ "aido_rna.encoder.layer.17.attention.output.dense.weight": "pytorch_model-00001-of-00002.bin",
173
+ "aido_rna.encoder.layer.17.attention.self.key.bias": "pytorch_model-00001-of-00002.bin",
174
+ "aido_rna.encoder.layer.17.attention.self.key.weight": "pytorch_model-00001-of-00002.bin",
175
+ "aido_rna.encoder.layer.17.attention.self.query.bias": "pytorch_model-00001-of-00002.bin",
176
+ "aido_rna.encoder.layer.17.attention.self.query.weight": "pytorch_model-00001-of-00002.bin",
177
+ "aido_rna.encoder.layer.17.attention.self.value.bias": "pytorch_model-00001-of-00002.bin",
178
+ "aido_rna.encoder.layer.17.attention.self.value.weight": "pytorch_model-00001-of-00002.bin",
179
+ "aido_rna.encoder.layer.17.intermediate.dense.bias": "pytorch_model-00001-of-00002.bin",
180
+ "aido_rna.encoder.layer.17.intermediate.dense.weight": "pytorch_model-00001-of-00002.bin",
181
+ "aido_rna.encoder.layer.17.intermediate.gate.bias": "pytorch_model-00001-of-00002.bin",
182
+ "aido_rna.encoder.layer.17.intermediate.gate.weight": "pytorch_model-00001-of-00002.bin",
183
+ "aido_rna.encoder.layer.17.layer_norm.bias": "pytorch_model-00001-of-00002.bin",
184
+ "aido_rna.encoder.layer.17.layer_norm.weight": "pytorch_model-00001-of-00002.bin",
185
+ "aido_rna.encoder.layer.17.output.dense.bias": "pytorch_model-00001-of-00002.bin",
186
+ "aido_rna.encoder.layer.17.output.dense.weight": "pytorch_model-00001-of-00002.bin",
187
+ "aido_rna.encoder.layer.18.attention.layer_norm.bias": "pytorch_model-00001-of-00002.bin",
188
+ "aido_rna.encoder.layer.18.attention.layer_norm.weight": "pytorch_model-00001-of-00002.bin",
189
+ "aido_rna.encoder.layer.18.attention.output.dense.bias": "pytorch_model-00001-of-00002.bin",
190
+ "aido_rna.encoder.layer.18.attention.output.dense.weight": "pytorch_model-00001-of-00002.bin",
191
+ "aido_rna.encoder.layer.18.attention.self.key.bias": "pytorch_model-00001-of-00002.bin",
192
+ "aido_rna.encoder.layer.18.attention.self.key.weight": "pytorch_model-00001-of-00002.bin",
193
+ "aido_rna.encoder.layer.18.attention.self.query.bias": "pytorch_model-00001-of-00002.bin",
194
+ "aido_rna.encoder.layer.18.attention.self.query.weight": "pytorch_model-00001-of-00002.bin",
195
+ "aido_rna.encoder.layer.18.attention.self.value.bias": "pytorch_model-00001-of-00002.bin",
196
+ "aido_rna.encoder.layer.18.attention.self.value.weight": "pytorch_model-00001-of-00002.bin",
197
+ "aido_rna.encoder.layer.18.intermediate.dense.bias": "pytorch_model-00001-of-00002.bin",
198
+ "aido_rna.encoder.layer.18.intermediate.dense.weight": "pytorch_model-00001-of-00002.bin",
199
+ "aido_rna.encoder.layer.18.intermediate.gate.bias": "pytorch_model-00001-of-00002.bin",
200
+ "aido_rna.encoder.layer.18.intermediate.gate.weight": "pytorch_model-00001-of-00002.bin",
201
+ "aido_rna.encoder.layer.18.layer_norm.bias": "pytorch_model-00001-of-00002.bin",
202
+ "aido_rna.encoder.layer.18.layer_norm.weight": "pytorch_model-00001-of-00002.bin",
203
+ "aido_rna.encoder.layer.18.output.dense.bias": "pytorch_model-00001-of-00002.bin",
204
+ "aido_rna.encoder.layer.18.output.dense.weight": "pytorch_model-00001-of-00002.bin",
205
+ "aido_rna.encoder.layer.19.attention.layer_norm.bias": "pytorch_model-00001-of-00002.bin",
206
+ "aido_rna.encoder.layer.19.attention.layer_norm.weight": "pytorch_model-00001-of-00002.bin",
207
+ "aido_rna.encoder.layer.19.attention.output.dense.bias": "pytorch_model-00001-of-00002.bin",
208
+ "aido_rna.encoder.layer.19.attention.output.dense.weight": "pytorch_model-00001-of-00002.bin",
209
+ "aido_rna.encoder.layer.19.attention.self.key.bias": "pytorch_model-00001-of-00002.bin",
210
+ "aido_rna.encoder.layer.19.attention.self.key.weight": "pytorch_model-00001-of-00002.bin",
211
+ "aido_rna.encoder.layer.19.attention.self.query.bias": "pytorch_model-00001-of-00002.bin",
212
+ "aido_rna.encoder.layer.19.attention.self.query.weight": "pytorch_model-00001-of-00002.bin",
213
+ "aido_rna.encoder.layer.19.attention.self.value.bias": "pytorch_model-00001-of-00002.bin",
214
+ "aido_rna.encoder.layer.19.attention.self.value.weight": "pytorch_model-00001-of-00002.bin",
215
+ "aido_rna.encoder.layer.19.intermediate.dense.bias": "pytorch_model-00001-of-00002.bin",
216
+ "aido_rna.encoder.layer.19.intermediate.dense.weight": "pytorch_model-00001-of-00002.bin",
217
+ "aido_rna.encoder.layer.19.intermediate.gate.bias": "pytorch_model-00001-of-00002.bin",
218
+ "aido_rna.encoder.layer.19.intermediate.gate.weight": "pytorch_model-00001-of-00002.bin",
219
+ "aido_rna.encoder.layer.19.layer_norm.bias": "pytorch_model-00001-of-00002.bin",
220
+ "aido_rna.encoder.layer.19.layer_norm.weight": "pytorch_model-00001-of-00002.bin",
221
+ "aido_rna.encoder.layer.19.output.dense.bias": "pytorch_model-00001-of-00002.bin",
222
+ "aido_rna.encoder.layer.19.output.dense.weight": "pytorch_model-00001-of-00002.bin",
223
+ "aido_rna.encoder.layer.2.attention.layer_norm.bias": "pytorch_model-00001-of-00002.bin",
224
+ "aido_rna.encoder.layer.2.attention.layer_norm.weight": "pytorch_model-00001-of-00002.bin",
225
+ "aido_rna.encoder.layer.2.attention.output.dense.bias": "pytorch_model-00001-of-00002.bin",
226
+ "aido_rna.encoder.layer.2.attention.output.dense.weight": "pytorch_model-00001-of-00002.bin",
227
+ "aido_rna.encoder.layer.2.attention.self.key.bias": "pytorch_model-00001-of-00002.bin",
228
+ "aido_rna.encoder.layer.2.attention.self.key.weight": "pytorch_model-00001-of-00002.bin",
229
+ "aido_rna.encoder.layer.2.attention.self.query.bias": "pytorch_model-00001-of-00002.bin",
230
+ "aido_rna.encoder.layer.2.attention.self.query.weight": "pytorch_model-00001-of-00002.bin",
231
+ "aido_rna.encoder.layer.2.attention.self.value.bias": "pytorch_model-00001-of-00002.bin",
232
+ "aido_rna.encoder.layer.2.attention.self.value.weight": "pytorch_model-00001-of-00002.bin",
233
+ "aido_rna.encoder.layer.2.intermediate.dense.bias": "pytorch_model-00001-of-00002.bin",
234
+ "aido_rna.encoder.layer.2.intermediate.dense.weight": "pytorch_model-00001-of-00002.bin",
235
+ "aido_rna.encoder.layer.2.intermediate.gate.bias": "pytorch_model-00001-of-00002.bin",
236
+ "aido_rna.encoder.layer.2.intermediate.gate.weight": "pytorch_model-00001-of-00002.bin",
237
+ "aido_rna.encoder.layer.2.layer_norm.bias": "pytorch_model-00001-of-00002.bin",
238
+ "aido_rna.encoder.layer.2.layer_norm.weight": "pytorch_model-00001-of-00002.bin",
239
+ "aido_rna.encoder.layer.2.output.dense.bias": "pytorch_model-00001-of-00002.bin",
240
+ "aido_rna.encoder.layer.2.output.dense.weight": "pytorch_model-00001-of-00002.bin",
241
+ "aido_rna.encoder.layer.20.attention.layer_norm.bias": "pytorch_model-00001-of-00002.bin",
242
+ "aido_rna.encoder.layer.20.attention.layer_norm.weight": "pytorch_model-00001-of-00002.bin",
243
+ "aido_rna.encoder.layer.20.attention.output.dense.bias": "pytorch_model-00001-of-00002.bin",
244
+ "aido_rna.encoder.layer.20.attention.output.dense.weight": "pytorch_model-00001-of-00002.bin",
245
+ "aido_rna.encoder.layer.20.attention.self.key.bias": "pytorch_model-00001-of-00002.bin",
246
+ "aido_rna.encoder.layer.20.attention.self.key.weight": "pytorch_model-00001-of-00002.bin",
247
+ "aido_rna.encoder.layer.20.attention.self.query.bias": "pytorch_model-00001-of-00002.bin",
248
+ "aido_rna.encoder.layer.20.attention.self.query.weight": "pytorch_model-00001-of-00002.bin",
249
+ "aido_rna.encoder.layer.20.attention.self.value.bias": "pytorch_model-00001-of-00002.bin",
250
+ "aido_rna.encoder.layer.20.attention.self.value.weight": "pytorch_model-00001-of-00002.bin",
251
+ "aido_rna.encoder.layer.20.intermediate.dense.bias": "pytorch_model-00001-of-00002.bin",
252
+ "aido_rna.encoder.layer.20.intermediate.dense.weight": "pytorch_model-00001-of-00002.bin",
253
+ "aido_rna.encoder.layer.20.intermediate.gate.bias": "pytorch_model-00001-of-00002.bin",
254
+ "aido_rna.encoder.layer.20.intermediate.gate.weight": "pytorch_model-00001-of-00002.bin",
255
+ "aido_rna.encoder.layer.20.layer_norm.bias": "pytorch_model-00001-of-00002.bin",
256
+ "aido_rna.encoder.layer.20.layer_norm.weight": "pytorch_model-00001-of-00002.bin",
257
+ "aido_rna.encoder.layer.20.output.dense.bias": "pytorch_model-00001-of-00002.bin",
258
+ "aido_rna.encoder.layer.20.output.dense.weight": "pytorch_model-00001-of-00002.bin",
259
+ "aido_rna.encoder.layer.21.attention.layer_norm.bias": "pytorch_model-00001-of-00002.bin",
260
+ "aido_rna.encoder.layer.21.attention.layer_norm.weight": "pytorch_model-00001-of-00002.bin",
261
+ "aido_rna.encoder.layer.21.attention.output.dense.bias": "pytorch_model-00001-of-00002.bin",
262
+ "aido_rna.encoder.layer.21.attention.output.dense.weight": "pytorch_model-00001-of-00002.bin",
263
+ "aido_rna.encoder.layer.21.attention.self.key.bias": "pytorch_model-00001-of-00002.bin",
264
+ "aido_rna.encoder.layer.21.attention.self.key.weight": "pytorch_model-00001-of-00002.bin",
265
+ "aido_rna.encoder.layer.21.attention.self.query.bias": "pytorch_model-00001-of-00002.bin",
266
+ "aido_rna.encoder.layer.21.attention.self.query.weight": "pytorch_model-00001-of-00002.bin",
267
+ "aido_rna.encoder.layer.21.attention.self.value.bias": "pytorch_model-00001-of-00002.bin",
268
+ "aido_rna.encoder.layer.21.attention.self.value.weight": "pytorch_model-00001-of-00002.bin",
269
+ "aido_rna.encoder.layer.21.intermediate.dense.bias": "pytorch_model-00001-of-00002.bin",
270
+ "aido_rna.encoder.layer.21.intermediate.dense.weight": "pytorch_model-00001-of-00002.bin",
271
+ "aido_rna.encoder.layer.21.intermediate.gate.bias": "pytorch_model-00001-of-00002.bin",
272
+ "aido_rna.encoder.layer.21.intermediate.gate.weight": "pytorch_model-00001-of-00002.bin",
273
+ "aido_rna.encoder.layer.21.layer_norm.bias": "pytorch_model-00001-of-00002.bin",
274
+ "aido_rna.encoder.layer.21.layer_norm.weight": "pytorch_model-00001-of-00002.bin",
275
+ "aido_rna.encoder.layer.21.output.dense.bias": "pytorch_model-00001-of-00002.bin",
276
+ "aido_rna.encoder.layer.21.output.dense.weight": "pytorch_model-00001-of-00002.bin",
277
+ "aido_rna.encoder.layer.22.attention.layer_norm.bias": "pytorch_model-00001-of-00002.bin",
278
+ "aido_rna.encoder.layer.22.attention.layer_norm.weight": "pytorch_model-00001-of-00002.bin",
279
+ "aido_rna.encoder.layer.22.attention.output.dense.bias": "pytorch_model-00001-of-00002.bin",
280
+ "aido_rna.encoder.layer.22.attention.output.dense.weight": "pytorch_model-00001-of-00002.bin",
281
+ "aido_rna.encoder.layer.22.attention.self.key.bias": "pytorch_model-00001-of-00002.bin",
282
+ "aido_rna.encoder.layer.22.attention.self.key.weight": "pytorch_model-00001-of-00002.bin",
283
+ "aido_rna.encoder.layer.22.attention.self.query.bias": "pytorch_model-00001-of-00002.bin",
284
+ "aido_rna.encoder.layer.22.attention.self.query.weight": "pytorch_model-00001-of-00002.bin",
285
+ "aido_rna.encoder.layer.22.attention.self.value.bias": "pytorch_model-00001-of-00002.bin",
286
+ "aido_rna.encoder.layer.22.attention.self.value.weight": "pytorch_model-00001-of-00002.bin",
287
+ "aido_rna.encoder.layer.22.intermediate.dense.bias": "pytorch_model-00001-of-00002.bin",
288
+ "aido_rna.encoder.layer.22.intermediate.dense.weight": "pytorch_model-00001-of-00002.bin",
289
+ "aido_rna.encoder.layer.22.intermediate.gate.bias": "pytorch_model-00001-of-00002.bin",
290
+ "aido_rna.encoder.layer.22.intermediate.gate.weight": "pytorch_model-00001-of-00002.bin",
291
+ "aido_rna.encoder.layer.22.layer_norm.bias": "pytorch_model-00001-of-00002.bin",
292
+ "aido_rna.encoder.layer.22.layer_norm.weight": "pytorch_model-00001-of-00002.bin",
293
+ "aido_rna.encoder.layer.22.output.dense.bias": "pytorch_model-00001-of-00002.bin",
294
+ "aido_rna.encoder.layer.22.output.dense.weight": "pytorch_model-00001-of-00002.bin",
295
+ "aido_rna.encoder.layer.23.attention.layer_norm.bias": "pytorch_model-00001-of-00002.bin",
296
+ "aido_rna.encoder.layer.23.attention.layer_norm.weight": "pytorch_model-00001-of-00002.bin",
297
+ "aido_rna.encoder.layer.23.attention.output.dense.bias": "pytorch_model-00001-of-00002.bin",
298
+ "aido_rna.encoder.layer.23.attention.output.dense.weight": "pytorch_model-00001-of-00002.bin",
299
+ "aido_rna.encoder.layer.23.attention.self.key.bias": "pytorch_model-00001-of-00002.bin",
300
+ "aido_rna.encoder.layer.23.attention.self.key.weight": "pytorch_model-00001-of-00002.bin",
301
+ "aido_rna.encoder.layer.23.attention.self.query.bias": "pytorch_model-00001-of-00002.bin",
302
+ "aido_rna.encoder.layer.23.attention.self.query.weight": "pytorch_model-00001-of-00002.bin",
303
+ "aido_rna.encoder.layer.23.attention.self.value.bias": "pytorch_model-00001-of-00002.bin",
304
+ "aido_rna.encoder.layer.23.attention.self.value.weight": "pytorch_model-00001-of-00002.bin",
305
+ "aido_rna.encoder.layer.23.intermediate.dense.bias": "pytorch_model-00001-of-00002.bin",
306
+ "aido_rna.encoder.layer.23.intermediate.dense.weight": "pytorch_model-00001-of-00002.bin",
307
+ "aido_rna.encoder.layer.23.intermediate.gate.bias": "pytorch_model-00001-of-00002.bin",
308
+ "aido_rna.encoder.layer.23.intermediate.gate.weight": "pytorch_model-00001-of-00002.bin",
309
+ "aido_rna.encoder.layer.23.layer_norm.bias": "pytorch_model-00001-of-00002.bin",
310
+ "aido_rna.encoder.layer.23.layer_norm.weight": "pytorch_model-00001-of-00002.bin",
311
+ "aido_rna.encoder.layer.23.output.dense.bias": "pytorch_model-00001-of-00002.bin",
312
+ "aido_rna.encoder.layer.23.output.dense.weight": "pytorch_model-00001-of-00002.bin",
313
+ "aido_rna.encoder.layer.24.attention.layer_norm.bias": "pytorch_model-00001-of-00002.bin",
314
+ "aido_rna.encoder.layer.24.attention.layer_norm.weight": "pytorch_model-00001-of-00002.bin",
315
+ "aido_rna.encoder.layer.24.attention.output.dense.bias": "pytorch_model-00001-of-00002.bin",
316
+ "aido_rna.encoder.layer.24.attention.output.dense.weight": "pytorch_model-00001-of-00002.bin",
317
+ "aido_rna.encoder.layer.24.attention.self.key.bias": "pytorch_model-00001-of-00002.bin",
318
+ "aido_rna.encoder.layer.24.attention.self.key.weight": "pytorch_model-00001-of-00002.bin",
319
+ "aido_rna.encoder.layer.24.attention.self.query.bias": "pytorch_model-00001-of-00002.bin",
320
+ "aido_rna.encoder.layer.24.attention.self.query.weight": "pytorch_model-00001-of-00002.bin",
321
+ "aido_rna.encoder.layer.24.attention.self.value.bias": "pytorch_model-00001-of-00002.bin",
322
+ "aido_rna.encoder.layer.24.attention.self.value.weight": "pytorch_model-00001-of-00002.bin",
323
+ "aido_rna.encoder.layer.24.intermediate.dense.bias": "pytorch_model-00001-of-00002.bin",
324
+ "aido_rna.encoder.layer.24.intermediate.dense.weight": "pytorch_model-00001-of-00002.bin",
325
+ "aido_rna.encoder.layer.24.intermediate.gate.bias": "pytorch_model-00001-of-00002.bin",
326
+ "aido_rna.encoder.layer.24.intermediate.gate.weight": "pytorch_model-00001-of-00002.bin",
327
+ "aido_rna.encoder.layer.24.layer_norm.bias": "pytorch_model-00001-of-00002.bin",
328
+ "aido_rna.encoder.layer.24.layer_norm.weight": "pytorch_model-00001-of-00002.bin",
329
+ "aido_rna.encoder.layer.24.output.dense.bias": "pytorch_model-00002-of-00002.bin",
330
+ "aido_rna.encoder.layer.24.output.dense.weight": "pytorch_model-00002-of-00002.bin",
331
+ "aido_rna.encoder.layer.25.attention.layer_norm.bias": "pytorch_model-00002-of-00002.bin",
332
+ "aido_rna.encoder.layer.25.attention.layer_norm.weight": "pytorch_model-00002-of-00002.bin",
333
+ "aido_rna.encoder.layer.25.attention.output.dense.bias": "pytorch_model-00002-of-00002.bin",
334
+ "aido_rna.encoder.layer.25.attention.output.dense.weight": "pytorch_model-00002-of-00002.bin",
335
+ "aido_rna.encoder.layer.25.attention.self.key.bias": "pytorch_model-00002-of-00002.bin",
336
+ "aido_rna.encoder.layer.25.attention.self.key.weight": "pytorch_model-00002-of-00002.bin",
337
+ "aido_rna.encoder.layer.25.attention.self.query.bias": "pytorch_model-00002-of-00002.bin",
338
+ "aido_rna.encoder.layer.25.attention.self.query.weight": "pytorch_model-00002-of-00002.bin",
339
+ "aido_rna.encoder.layer.25.attention.self.value.bias": "pytorch_model-00002-of-00002.bin",
340
+ "aido_rna.encoder.layer.25.attention.self.value.weight": "pytorch_model-00002-of-00002.bin",
341
+ "aido_rna.encoder.layer.25.intermediate.dense.bias": "pytorch_model-00002-of-00002.bin",
342
+ "aido_rna.encoder.layer.25.intermediate.dense.weight": "pytorch_model-00002-of-00002.bin",
343
+ "aido_rna.encoder.layer.25.intermediate.gate.bias": "pytorch_model-00002-of-00002.bin",
344
+ "aido_rna.encoder.layer.25.intermediate.gate.weight": "pytorch_model-00002-of-00002.bin",
345
+ "aido_rna.encoder.layer.25.layer_norm.bias": "pytorch_model-00002-of-00002.bin",
346
+ "aido_rna.encoder.layer.25.layer_norm.weight": "pytorch_model-00002-of-00002.bin",
347
+ "aido_rna.encoder.layer.25.output.dense.bias": "pytorch_model-00002-of-00002.bin",
348
+ "aido_rna.encoder.layer.25.output.dense.weight": "pytorch_model-00002-of-00002.bin",
349
+ "aido_rna.encoder.layer.26.attention.layer_norm.bias": "pytorch_model-00002-of-00002.bin",
350
+ "aido_rna.encoder.layer.26.attention.layer_norm.weight": "pytorch_model-00002-of-00002.bin",
351
+ "aido_rna.encoder.layer.26.attention.output.dense.bias": "pytorch_model-00002-of-00002.bin",
352
+ "aido_rna.encoder.layer.26.attention.output.dense.weight": "pytorch_model-00002-of-00002.bin",
353
+ "aido_rna.encoder.layer.26.attention.self.key.bias": "pytorch_model-00002-of-00002.bin",
354
+ "aido_rna.encoder.layer.26.attention.self.key.weight": "pytorch_model-00002-of-00002.bin",
355
+ "aido_rna.encoder.layer.26.attention.self.query.bias": "pytorch_model-00002-of-00002.bin",
356
+ "aido_rna.encoder.layer.26.attention.self.query.weight": "pytorch_model-00002-of-00002.bin",
357
+ "aido_rna.encoder.layer.26.attention.self.value.bias": "pytorch_model-00002-of-00002.bin",
358
+ "aido_rna.encoder.layer.26.attention.self.value.weight": "pytorch_model-00002-of-00002.bin",
359
+ "aido_rna.encoder.layer.26.intermediate.dense.bias": "pytorch_model-00002-of-00002.bin",
360
+ "aido_rna.encoder.layer.26.intermediate.dense.weight": "pytorch_model-00002-of-00002.bin",
361
+ "aido_rna.encoder.layer.26.intermediate.gate.bias": "pytorch_model-00002-of-00002.bin",
362
+ "aido_rna.encoder.layer.26.intermediate.gate.weight": "pytorch_model-00002-of-00002.bin",
363
+ "aido_rna.encoder.layer.26.layer_norm.bias": "pytorch_model-00002-of-00002.bin",
364
+ "aido_rna.encoder.layer.26.layer_norm.weight": "pytorch_model-00002-of-00002.bin",
365
+ "aido_rna.encoder.layer.26.output.dense.bias": "pytorch_model-00002-of-00002.bin",
366
+ "aido_rna.encoder.layer.26.output.dense.weight": "pytorch_model-00002-of-00002.bin",
367
+ "aido_rna.encoder.layer.27.attention.layer_norm.bias": "pytorch_model-00002-of-00002.bin",
368
+ "aido_rna.encoder.layer.27.attention.layer_norm.weight": "pytorch_model-00002-of-00002.bin",
369
+ "aido_rna.encoder.layer.27.attention.output.dense.bias": "pytorch_model-00002-of-00002.bin",
370
+ "aido_rna.encoder.layer.27.attention.output.dense.weight": "pytorch_model-00002-of-00002.bin",
371
+ "aido_rna.encoder.layer.27.attention.self.key.bias": "pytorch_model-00002-of-00002.bin",
372
+ "aido_rna.encoder.layer.27.attention.self.key.weight": "pytorch_model-00002-of-00002.bin",
373
+ "aido_rna.encoder.layer.27.attention.self.query.bias": "pytorch_model-00002-of-00002.bin",
374
+ "aido_rna.encoder.layer.27.attention.self.query.weight": "pytorch_model-00002-of-00002.bin",
375
+ "aido_rna.encoder.layer.27.attention.self.value.bias": "pytorch_model-00002-of-00002.bin",
376
+ "aido_rna.encoder.layer.27.attention.self.value.weight": "pytorch_model-00002-of-00002.bin",
377
+ "aido_rna.encoder.layer.27.intermediate.dense.bias": "pytorch_model-00002-of-00002.bin",
378
+ "aido_rna.encoder.layer.27.intermediate.dense.weight": "pytorch_model-00002-of-00002.bin",
379
+ "aido_rna.encoder.layer.27.intermediate.gate.bias": "pytorch_model-00002-of-00002.bin",
380
+ "aido_rna.encoder.layer.27.intermediate.gate.weight": "pytorch_model-00002-of-00002.bin",
381
+ "aido_rna.encoder.layer.27.layer_norm.bias": "pytorch_model-00002-of-00002.bin",
382
+ "aido_rna.encoder.layer.27.layer_norm.weight": "pytorch_model-00002-of-00002.bin",
383
+ "aido_rna.encoder.layer.27.output.dense.bias": "pytorch_model-00002-of-00002.bin",
384
+ "aido_rna.encoder.layer.27.output.dense.weight": "pytorch_model-00002-of-00002.bin",
385
+ "aido_rna.encoder.layer.28.attention.layer_norm.bias": "pytorch_model-00002-of-00002.bin",
386
+ "aido_rna.encoder.layer.28.attention.layer_norm.weight": "pytorch_model-00002-of-00002.bin",
387
+ "aido_rna.encoder.layer.28.attention.output.dense.bias": "pytorch_model-00002-of-00002.bin",
388
+ "aido_rna.encoder.layer.28.attention.output.dense.weight": "pytorch_model-00002-of-00002.bin",
389
+ "aido_rna.encoder.layer.28.attention.self.key.bias": "pytorch_model-00002-of-00002.bin",
390
+ "aido_rna.encoder.layer.28.attention.self.key.weight": "pytorch_model-00002-of-00002.bin",
391
+ "aido_rna.encoder.layer.28.attention.self.query.bias": "pytorch_model-00002-of-00002.bin",
392
+ "aido_rna.encoder.layer.28.attention.self.query.weight": "pytorch_model-00002-of-00002.bin",
393
+ "aido_rna.encoder.layer.28.attention.self.value.bias": "pytorch_model-00002-of-00002.bin",
394
+ "aido_rna.encoder.layer.28.attention.self.value.weight": "pytorch_model-00002-of-00002.bin",
395
+ "aido_rna.encoder.layer.28.intermediate.dense.bias": "pytorch_model-00002-of-00002.bin",
396
+ "aido_rna.encoder.layer.28.intermediate.dense.weight": "pytorch_model-00002-of-00002.bin",
397
+ "aido_rna.encoder.layer.28.intermediate.gate.bias": "pytorch_model-00002-of-00002.bin",
398
+ "aido_rna.encoder.layer.28.intermediate.gate.weight": "pytorch_model-00002-of-00002.bin",
399
+ "aido_rna.encoder.layer.28.layer_norm.bias": "pytorch_model-00002-of-00002.bin",
400
+ "aido_rna.encoder.layer.28.layer_norm.weight": "pytorch_model-00002-of-00002.bin",
401
+ "aido_rna.encoder.layer.28.output.dense.bias": "pytorch_model-00002-of-00002.bin",
402
+ "aido_rna.encoder.layer.28.output.dense.weight": "pytorch_model-00002-of-00002.bin",
403
+ "aido_rna.encoder.layer.29.attention.layer_norm.bias": "pytorch_model-00002-of-00002.bin",
404
+ "aido_rna.encoder.layer.29.attention.layer_norm.weight": "pytorch_model-00002-of-00002.bin",
405
+ "aido_rna.encoder.layer.29.attention.output.dense.bias": "pytorch_model-00002-of-00002.bin",
406
+ "aido_rna.encoder.layer.29.attention.output.dense.weight": "pytorch_model-00002-of-00002.bin",
407
+ "aido_rna.encoder.layer.29.attention.self.key.bias": "pytorch_model-00002-of-00002.bin",
408
+ "aido_rna.encoder.layer.29.attention.self.key.weight": "pytorch_model-00002-of-00002.bin",
409
+ "aido_rna.encoder.layer.29.attention.self.query.bias": "pytorch_model-00002-of-00002.bin",
410
+ "aido_rna.encoder.layer.29.attention.self.query.weight": "pytorch_model-00002-of-00002.bin",
411
+ "aido_rna.encoder.layer.29.attention.self.value.bias": "pytorch_model-00002-of-00002.bin",
412
+ "aido_rna.encoder.layer.29.attention.self.value.weight": "pytorch_model-00002-of-00002.bin",
413
+ "aido_rna.encoder.layer.29.intermediate.dense.bias": "pytorch_model-00002-of-00002.bin",
414
+ "aido_rna.encoder.layer.29.intermediate.dense.weight": "pytorch_model-00002-of-00002.bin",
415
+ "aido_rna.encoder.layer.29.intermediate.gate.bias": "pytorch_model-00002-of-00002.bin",
416
+ "aido_rna.encoder.layer.29.intermediate.gate.weight": "pytorch_model-00002-of-00002.bin",
417
+ "aido_rna.encoder.layer.29.layer_norm.bias": "pytorch_model-00002-of-00002.bin",
418
+ "aido_rna.encoder.layer.29.layer_norm.weight": "pytorch_model-00002-of-00002.bin",
419
+ "aido_rna.encoder.layer.29.output.dense.bias": "pytorch_model-00002-of-00002.bin",
420
+ "aido_rna.encoder.layer.29.output.dense.weight": "pytorch_model-00002-of-00002.bin",
421
+ "aido_rna.encoder.layer.3.attention.layer_norm.bias": "pytorch_model-00001-of-00002.bin",
422
+ "aido_rna.encoder.layer.3.attention.layer_norm.weight": "pytorch_model-00001-of-00002.bin",
423
+ "aido_rna.encoder.layer.3.attention.output.dense.bias": "pytorch_model-00001-of-00002.bin",
424
+ "aido_rna.encoder.layer.3.attention.output.dense.weight": "pytorch_model-00001-of-00002.bin",
425
+ "aido_rna.encoder.layer.3.attention.self.key.bias": "pytorch_model-00001-of-00002.bin",
426
+ "aido_rna.encoder.layer.3.attention.self.key.weight": "pytorch_model-00001-of-00002.bin",
427
+ "aido_rna.encoder.layer.3.attention.self.query.bias": "pytorch_model-00001-of-00002.bin",
428
+ "aido_rna.encoder.layer.3.attention.self.query.weight": "pytorch_model-00001-of-00002.bin",
429
+ "aido_rna.encoder.layer.3.attention.self.value.bias": "pytorch_model-00001-of-00002.bin",
430
+ "aido_rna.encoder.layer.3.attention.self.value.weight": "pytorch_model-00001-of-00002.bin",
431
+ "aido_rna.encoder.layer.3.intermediate.dense.bias": "pytorch_model-00001-of-00002.bin",
432
+ "aido_rna.encoder.layer.3.intermediate.dense.weight": "pytorch_model-00001-of-00002.bin",
433
+ "aido_rna.encoder.layer.3.intermediate.gate.bias": "pytorch_model-00001-of-00002.bin",
434
+ "aido_rna.encoder.layer.3.intermediate.gate.weight": "pytorch_model-00001-of-00002.bin",
435
+ "aido_rna.encoder.layer.3.layer_norm.bias": "pytorch_model-00001-of-00002.bin",
436
+ "aido_rna.encoder.layer.3.layer_norm.weight": "pytorch_model-00001-of-00002.bin",
437
+ "aido_rna.encoder.layer.3.output.dense.bias": "pytorch_model-00001-of-00002.bin",
438
+ "aido_rna.encoder.layer.3.output.dense.weight": "pytorch_model-00001-of-00002.bin",
439
+ "aido_rna.encoder.layer.30.attention.layer_norm.bias": "pytorch_model-00002-of-00002.bin",
440
+ "aido_rna.encoder.layer.30.attention.layer_norm.weight": "pytorch_model-00002-of-00002.bin",
441
+ "aido_rna.encoder.layer.30.attention.output.dense.bias": "pytorch_model-00002-of-00002.bin",
442
+ "aido_rna.encoder.layer.30.attention.output.dense.weight": "pytorch_model-00002-of-00002.bin",
443
+ "aido_rna.encoder.layer.30.attention.self.key.bias": "pytorch_model-00002-of-00002.bin",
444
+ "aido_rna.encoder.layer.30.attention.self.key.weight": "pytorch_model-00002-of-00002.bin",
445
+ "aido_rna.encoder.layer.30.attention.self.query.bias": "pytorch_model-00002-of-00002.bin",
446
+ "aido_rna.encoder.layer.30.attention.self.query.weight": "pytorch_model-00002-of-00002.bin",
447
+ "aido_rna.encoder.layer.30.attention.self.value.bias": "pytorch_model-00002-of-00002.bin",
448
+ "aido_rna.encoder.layer.30.attention.self.value.weight": "pytorch_model-00002-of-00002.bin",
449
+ "aido_rna.encoder.layer.30.intermediate.dense.bias": "pytorch_model-00002-of-00002.bin",
450
+ "aido_rna.encoder.layer.30.intermediate.dense.weight": "pytorch_model-00002-of-00002.bin",
451
+ "aido_rna.encoder.layer.30.intermediate.gate.bias": "pytorch_model-00002-of-00002.bin",
452
+ "aido_rna.encoder.layer.30.intermediate.gate.weight": "pytorch_model-00002-of-00002.bin",
453
+ "aido_rna.encoder.layer.30.layer_norm.bias": "pytorch_model-00002-of-00002.bin",
454
+ "aido_rna.encoder.layer.30.layer_norm.weight": "pytorch_model-00002-of-00002.bin",
455
+ "aido_rna.encoder.layer.30.output.dense.bias": "pytorch_model-00002-of-00002.bin",
456
+ "aido_rna.encoder.layer.30.output.dense.weight": "pytorch_model-00002-of-00002.bin",
457
+ "aido_rna.encoder.layer.31.attention.layer_norm.bias": "pytorch_model-00002-of-00002.bin",
458
+ "aido_rna.encoder.layer.31.attention.layer_norm.weight": "pytorch_model-00002-of-00002.bin",
459
+ "aido_rna.encoder.layer.31.attention.output.dense.bias": "pytorch_model-00002-of-00002.bin",
460
+ "aido_rna.encoder.layer.31.attention.output.dense.weight": "pytorch_model-00002-of-00002.bin",
461
+ "aido_rna.encoder.layer.31.attention.self.key.bias": "pytorch_model-00002-of-00002.bin",
462
+ "aido_rna.encoder.layer.31.attention.self.key.weight": "pytorch_model-00002-of-00002.bin",
463
+ "aido_rna.encoder.layer.31.attention.self.query.bias": "pytorch_model-00002-of-00002.bin",
464
+ "aido_rna.encoder.layer.31.attention.self.query.weight": "pytorch_model-00002-of-00002.bin",
465
+ "aido_rna.encoder.layer.31.attention.self.value.bias": "pytorch_model-00002-of-00002.bin",
466
+ "aido_rna.encoder.layer.31.attention.self.value.weight": "pytorch_model-00002-of-00002.bin",
467
+ "aido_rna.encoder.layer.31.intermediate.dense.bias": "pytorch_model-00002-of-00002.bin",
468
+ "aido_rna.encoder.layer.31.intermediate.dense.weight": "pytorch_model-00002-of-00002.bin",
469
+ "aido_rna.encoder.layer.31.intermediate.gate.bias": "pytorch_model-00002-of-00002.bin",
470
+ "aido_rna.encoder.layer.31.intermediate.gate.weight": "pytorch_model-00002-of-00002.bin",
471
+ "aido_rna.encoder.layer.31.layer_norm.bias": "pytorch_model-00002-of-00002.bin",
472
+ "aido_rna.encoder.layer.31.layer_norm.weight": "pytorch_model-00002-of-00002.bin",
473
+ "aido_rna.encoder.layer.31.output.dense.bias": "pytorch_model-00002-of-00002.bin",
474
+ "aido_rna.encoder.layer.31.output.dense.weight": "pytorch_model-00002-of-00002.bin",
475
+ "aido_rna.encoder.layer.4.attention.layer_norm.bias": "pytorch_model-00001-of-00002.bin",
476
+ "aido_rna.encoder.layer.4.attention.layer_norm.weight": "pytorch_model-00001-of-00002.bin",
477
+ "aido_rna.encoder.layer.4.attention.output.dense.bias": "pytorch_model-00001-of-00002.bin",
478
+ "aido_rna.encoder.layer.4.attention.output.dense.weight": "pytorch_model-00001-of-00002.bin",
479
+ "aido_rna.encoder.layer.4.attention.self.key.bias": "pytorch_model-00001-of-00002.bin",
480
+ "aido_rna.encoder.layer.4.attention.self.key.weight": "pytorch_model-00001-of-00002.bin",
481
+ "aido_rna.encoder.layer.4.attention.self.query.bias": "pytorch_model-00001-of-00002.bin",
482
+ "aido_rna.encoder.layer.4.attention.self.query.weight": "pytorch_model-00001-of-00002.bin",
483
+ "aido_rna.encoder.layer.4.attention.self.value.bias": "pytorch_model-00001-of-00002.bin",
484
+ "aido_rna.encoder.layer.4.attention.self.value.weight": "pytorch_model-00001-of-00002.bin",
485
+ "aido_rna.encoder.layer.4.intermediate.dense.bias": "pytorch_model-00001-of-00002.bin",
486
+ "aido_rna.encoder.layer.4.intermediate.dense.weight": "pytorch_model-00001-of-00002.bin",
487
+ "aido_rna.encoder.layer.4.intermediate.gate.bias": "pytorch_model-00001-of-00002.bin",
488
+ "aido_rna.encoder.layer.4.intermediate.gate.weight": "pytorch_model-00001-of-00002.bin",
489
+ "aido_rna.encoder.layer.4.layer_norm.bias": "pytorch_model-00001-of-00002.bin",
490
+ "aido_rna.encoder.layer.4.layer_norm.weight": "pytorch_model-00001-of-00002.bin",
491
+ "aido_rna.encoder.layer.4.output.dense.bias": "pytorch_model-00001-of-00002.bin",
492
+ "aido_rna.encoder.layer.4.output.dense.weight": "pytorch_model-00001-of-00002.bin",
493
+ "aido_rna.encoder.layer.5.attention.layer_norm.bias": "pytorch_model-00001-of-00002.bin",
494
+ "aido_rna.encoder.layer.5.attention.layer_norm.weight": "pytorch_model-00001-of-00002.bin",
495
+ "aido_rna.encoder.layer.5.attention.output.dense.bias": "pytorch_model-00001-of-00002.bin",
496
+ "aido_rna.encoder.layer.5.attention.output.dense.weight": "pytorch_model-00001-of-00002.bin",
497
+ "aido_rna.encoder.layer.5.attention.self.key.bias": "pytorch_model-00001-of-00002.bin",
498
+ "aido_rna.encoder.layer.5.attention.self.key.weight": "pytorch_model-00001-of-00002.bin",
499
+ "aido_rna.encoder.layer.5.attention.self.query.bias": "pytorch_model-00001-of-00002.bin",
500
+ "aido_rna.encoder.layer.5.attention.self.query.weight": "pytorch_model-00001-of-00002.bin",
501
+ "aido_rna.encoder.layer.5.attention.self.value.bias": "pytorch_model-00001-of-00002.bin",
502
+ "aido_rna.encoder.layer.5.attention.self.value.weight": "pytorch_model-00001-of-00002.bin",
503
+ "aido_rna.encoder.layer.5.intermediate.dense.bias": "pytorch_model-00001-of-00002.bin",
504
+ "aido_rna.encoder.layer.5.intermediate.dense.weight": "pytorch_model-00001-of-00002.bin",
505
+ "aido_rna.encoder.layer.5.intermediate.gate.bias": "pytorch_model-00001-of-00002.bin",
506
+ "aido_rna.encoder.layer.5.intermediate.gate.weight": "pytorch_model-00001-of-00002.bin",
507
+ "aido_rna.encoder.layer.5.layer_norm.bias": "pytorch_model-00001-of-00002.bin",
508
+ "aido_rna.encoder.layer.5.layer_norm.weight": "pytorch_model-00001-of-00002.bin",
509
+ "aido_rna.encoder.layer.5.output.dense.bias": "pytorch_model-00001-of-00002.bin",
510
+ "aido_rna.encoder.layer.5.output.dense.weight": "pytorch_model-00001-of-00002.bin",
511
+ "aido_rna.encoder.layer.6.attention.layer_norm.bias": "pytorch_model-00001-of-00002.bin",
512
+ "aido_rna.encoder.layer.6.attention.layer_norm.weight": "pytorch_model-00001-of-00002.bin",
513
+ "aido_rna.encoder.layer.6.attention.output.dense.bias": "pytorch_model-00001-of-00002.bin",
514
+ "aido_rna.encoder.layer.6.attention.output.dense.weight": "pytorch_model-00001-of-00002.bin",
515
+ "aido_rna.encoder.layer.6.attention.self.key.bias": "pytorch_model-00001-of-00002.bin",
516
+ "aido_rna.encoder.layer.6.attention.self.key.weight": "pytorch_model-00001-of-00002.bin",
517
+ "aido_rna.encoder.layer.6.attention.self.query.bias": "pytorch_model-00001-of-00002.bin",
518
+ "aido_rna.encoder.layer.6.attention.self.query.weight": "pytorch_model-00001-of-00002.bin",
519
+ "aido_rna.encoder.layer.6.attention.self.value.bias": "pytorch_model-00001-of-00002.bin",
520
+ "aido_rna.encoder.layer.6.attention.self.value.weight": "pytorch_model-00001-of-00002.bin",
521
+ "aido_rna.encoder.layer.6.intermediate.dense.bias": "pytorch_model-00001-of-00002.bin",
522
+ "aido_rna.encoder.layer.6.intermediate.dense.weight": "pytorch_model-00001-of-00002.bin",
523
+ "aido_rna.encoder.layer.6.intermediate.gate.bias": "pytorch_model-00001-of-00002.bin",
524
+ "aido_rna.encoder.layer.6.intermediate.gate.weight": "pytorch_model-00001-of-00002.bin",
525
+ "aido_rna.encoder.layer.6.layer_norm.bias": "pytorch_model-00001-of-00002.bin",
526
+ "aido_rna.encoder.layer.6.layer_norm.weight": "pytorch_model-00001-of-00002.bin",
527
+ "aido_rna.encoder.layer.6.output.dense.bias": "pytorch_model-00001-of-00002.bin",
528
+ "aido_rna.encoder.layer.6.output.dense.weight": "pytorch_model-00001-of-00002.bin",
529
+ "aido_rna.encoder.layer.7.attention.layer_norm.bias": "pytorch_model-00001-of-00002.bin",
530
+ "aido_rna.encoder.layer.7.attention.layer_norm.weight": "pytorch_model-00001-of-00002.bin",
531
+ "aido_rna.encoder.layer.7.attention.output.dense.bias": "pytorch_model-00001-of-00002.bin",
532
+ "aido_rna.encoder.layer.7.attention.output.dense.weight": "pytorch_model-00001-of-00002.bin",
533
+ "aido_rna.encoder.layer.7.attention.self.key.bias": "pytorch_model-00001-of-00002.bin",
534
+ "aido_rna.encoder.layer.7.attention.self.key.weight": "pytorch_model-00001-of-00002.bin",
535
+ "aido_rna.encoder.layer.7.attention.self.query.bias": "pytorch_model-00001-of-00002.bin",
536
+ "aido_rna.encoder.layer.7.attention.self.query.weight": "pytorch_model-00001-of-00002.bin",
537
+ "aido_rna.encoder.layer.7.attention.self.value.bias": "pytorch_model-00001-of-00002.bin",
538
+ "aido_rna.encoder.layer.7.attention.self.value.weight": "pytorch_model-00001-of-00002.bin",
539
+ "aido_rna.encoder.layer.7.intermediate.dense.bias": "pytorch_model-00001-of-00002.bin",
540
+ "aido_rna.encoder.layer.7.intermediate.dense.weight": "pytorch_model-00001-of-00002.bin",
541
+ "aido_rna.encoder.layer.7.intermediate.gate.bias": "pytorch_model-00001-of-00002.bin",
542
+ "aido_rna.encoder.layer.7.intermediate.gate.weight": "pytorch_model-00001-of-00002.bin",
543
+ "aido_rna.encoder.layer.7.layer_norm.bias": "pytorch_model-00001-of-00002.bin",
544
+ "aido_rna.encoder.layer.7.layer_norm.weight": "pytorch_model-00001-of-00002.bin",
545
+ "aido_rna.encoder.layer.7.output.dense.bias": "pytorch_model-00001-of-00002.bin",
546
+ "aido_rna.encoder.layer.7.output.dense.weight": "pytorch_model-00001-of-00002.bin",
547
+ "aido_rna.encoder.layer.8.attention.layer_norm.bias": "pytorch_model-00001-of-00002.bin",
548
+ "aido_rna.encoder.layer.8.attention.layer_norm.weight": "pytorch_model-00001-of-00002.bin",
549
+ "aido_rna.encoder.layer.8.attention.output.dense.bias": "pytorch_model-00001-of-00002.bin",
550
+ "aido_rna.encoder.layer.8.attention.output.dense.weight": "pytorch_model-00001-of-00002.bin",
551
+ "aido_rna.encoder.layer.8.attention.self.key.bias": "pytorch_model-00001-of-00002.bin",
552
+ "aido_rna.encoder.layer.8.attention.self.key.weight": "pytorch_model-00001-of-00002.bin",
553
+ "aido_rna.encoder.layer.8.attention.self.query.bias": "pytorch_model-00001-of-00002.bin",
554
+ "aido_rna.encoder.layer.8.attention.self.query.weight": "pytorch_model-00001-of-00002.bin",
555
+ "aido_rna.encoder.layer.8.attention.self.value.bias": "pytorch_model-00001-of-00002.bin",
556
+ "aido_rna.encoder.layer.8.attention.self.value.weight": "pytorch_model-00001-of-00002.bin",
557
+ "aido_rna.encoder.layer.8.intermediate.dense.bias": "pytorch_model-00001-of-00002.bin",
558
+ "aido_rna.encoder.layer.8.intermediate.dense.weight": "pytorch_model-00001-of-00002.bin",
559
+ "aido_rna.encoder.layer.8.intermediate.gate.bias": "pytorch_model-00001-of-00002.bin",
560
+ "aido_rna.encoder.layer.8.intermediate.gate.weight": "pytorch_model-00001-of-00002.bin",
561
+ "aido_rna.encoder.layer.8.layer_norm.bias": "pytorch_model-00001-of-00002.bin",
562
+ "aido_rna.encoder.layer.8.layer_norm.weight": "pytorch_model-00001-of-00002.bin",
563
+ "aido_rna.encoder.layer.8.output.dense.bias": "pytorch_model-00001-of-00002.bin",
564
+ "aido_rna.encoder.layer.8.output.dense.weight": "pytorch_model-00001-of-00002.bin",
565
+ "aido_rna.encoder.layer.9.attention.layer_norm.bias": "pytorch_model-00001-of-00002.bin",
566
+ "aido_rna.encoder.layer.9.attention.layer_norm.weight": "pytorch_model-00001-of-00002.bin",
567
+ "aido_rna.encoder.layer.9.attention.output.dense.bias": "pytorch_model-00001-of-00002.bin",
568
+ "aido_rna.encoder.layer.9.attention.output.dense.weight": "pytorch_model-00001-of-00002.bin",
569
+ "aido_rna.encoder.layer.9.attention.self.key.bias": "pytorch_model-00001-of-00002.bin",
570
+ "aido_rna.encoder.layer.9.attention.self.key.weight": "pytorch_model-00001-of-00002.bin",
571
+ "aido_rna.encoder.layer.9.attention.self.query.bias": "pytorch_model-00001-of-00002.bin",
572
+ "aido_rna.encoder.layer.9.attention.self.query.weight": "pytorch_model-00001-of-00002.bin",
573
+ "aido_rna.encoder.layer.9.attention.self.value.bias": "pytorch_model-00001-of-00002.bin",
574
+ "aido_rna.encoder.layer.9.attention.self.value.weight": "pytorch_model-00001-of-00002.bin",
575
+ "aido_rna.encoder.layer.9.intermediate.dense.bias": "pytorch_model-00001-of-00002.bin",
576
+ "aido_rna.encoder.layer.9.intermediate.dense.weight": "pytorch_model-00001-of-00002.bin",
577
+ "aido_rna.encoder.layer.9.intermediate.gate.bias": "pytorch_model-00001-of-00002.bin",
578
+ "aido_rna.encoder.layer.9.intermediate.gate.weight": "pytorch_model-00001-of-00002.bin",
579
+ "aido_rna.encoder.layer.9.layer_norm.bias": "pytorch_model-00001-of-00002.bin",
580
+ "aido_rna.encoder.layer.9.layer_norm.weight": "pytorch_model-00001-of-00002.bin",
581
+ "aido_rna.encoder.layer.9.output.dense.bias": "pytorch_model-00001-of-00002.bin",
582
+ "aido_rna.encoder.layer.9.output.dense.weight": "pytorch_model-00001-of-00002.bin",
583
+ "aido_rna.encoder.layer_norm.bias": "pytorch_model-00002-of-00002.bin",
584
+ "aido_rna.encoder.layer_norm.weight": "pytorch_model-00002-of-00002.bin",
585
+ "lm_head.bias": "pytorch_model-00002-of-00002.bin",
586
+ "lm_head.decoder.bias": "pytorch_model-00002-of-00002.bin",
587
+ "lm_head.decoder.weight": "pytorch_model-00001-of-00002.bin",
588
+ "lm_head.transform.dense.bias": "pytorch_model-00002-of-00002.bin",
589
+ "lm_head.transform.dense.weight": "pytorch_model-00002-of-00002.bin",
590
+ "lm_head.transform.layer_norm.bias": "pytorch_model-00002-of-00002.bin",
591
+ "lm_head.transform.layer_norm.weight": "pytorch_model-00002-of-00002.bin"
592
+ }
593
+ }
special_tokens_map.json ADDED
@@ -0,0 +1,12 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "additional_special_tokens": [
3
+ "<null>"
4
+ ],
5
+ "bos_token": "<cls>",
6
+ "cls_token": "<cls>",
7
+ "eos_token": "<eos>",
8
+ "mask_token": "<mask>",
9
+ "pad_token": "<pad>",
10
+ "sep_token": "<eos>",
11
+ "unk_token": "<unk>"
12
+ }
tokenizer_config.json ADDED
@@ -0,0 +1,69 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "added_tokens_decoder": {
3
+ "0": {
4
+ "content": "<pad>",
5
+ "lstrip": false,
6
+ "normalized": false,
7
+ "rstrip": false,
8
+ "single_word": false,
9
+ "special": true
10
+ },
11
+ "1": {
12
+ "content": "<cls>",
13
+ "lstrip": false,
14
+ "normalized": false,
15
+ "rstrip": false,
16
+ "single_word": false,
17
+ "special": true
18
+ },
19
+ "2": {
20
+ "content": "<eos>",
21
+ "lstrip": false,
22
+ "normalized": false,
23
+ "rstrip": false,
24
+ "single_word": false,
25
+ "special": true
26
+ },
27
+ "3": {
28
+ "content": "<unk>",
29
+ "lstrip": false,
30
+ "normalized": false,
31
+ "rstrip": false,
32
+ "single_word": false,
33
+ "special": true
34
+ },
35
+ "4": {
36
+ "content": "<mask>",
37
+ "lstrip": false,
38
+ "normalized": false,
39
+ "rstrip": false,
40
+ "single_word": false,
41
+ "special": true
42
+ },
43
+ "5": {
44
+ "content": "<null>",
45
+ "lstrip": false,
46
+ "normalized": false,
47
+ "rstrip": false,
48
+ "single_word": false,
49
+ "special": true
50
+ }
51
+ },
52
+ "additional_special_tokens": [
53
+ "<null>"
54
+ ],
55
+ "bos_token": "<cls>",
56
+ "clean_up_tokenization_spaces": true,
57
+ "cls_token": "<cls>",
58
+ "codon": false,
59
+ "eos_token": "<eos>",
60
+ "extra_special_tokens": {},
61
+ "mask_token": "<mask>",
62
+ "model_max_length": 1000000000000000019884624838656,
63
+ "nmers": 1,
64
+ "pad_token": "<pad>",
65
+ "replace_T_with_U": true,
66
+ "sep_token": "<eos>",
67
+ "tokenizer_class": "RnaTokenizer",
68
+ "unk_token": "<unk>"
69
+ }
vocab.txt ADDED
@@ -0,0 +1,26 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ <pad>
2
+ <cls>
3
+ <eos>
4
+ <unk>
5
+ <mask>
6
+ <null>
7
+ A
8
+ C
9
+ G
10
+ U
11
+ N
12
+ R
13
+ Y
14
+ S
15
+ W
16
+ K
17
+ M
18
+ B
19
+ D
20
+ H
21
+ V
22
+ .
23
+ X
24
+ *
25
+ -
26
+ I