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Training in progress, step 824, checkpoint

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  1. checkpoint-824/1_Pooling/config.json +10 -0
  2. checkpoint-824/README.md +1351 -0
  3. checkpoint-824/added_tokens.json +3 -0
  4. checkpoint-824/config.json +35 -0
  5. checkpoint-824/config_sentence_transformers.json +10 -0
  6. checkpoint-824/modules.json +14 -0
  7. checkpoint-824/optimizer.pt +3 -0
  8. checkpoint-824/pytorch_model.bin +3 -0
  9. checkpoint-824/rng_state.pth +3 -0
  10. checkpoint-824/scheduler.pt +3 -0
  11. checkpoint-824/sentence_bert_config.json +4 -0
  12. checkpoint-824/special_tokens_map.json +51 -0
  13. checkpoint-824/spm.model +3 -0
  14. checkpoint-824/tokenizer.json +0 -0
  15. checkpoint-824/tokenizer_config.json +65 -0
  16. checkpoint-824/trainer_state.json +0 -0
  17. checkpoint-824/training_args.bin +3 -0
checkpoint-824/1_Pooling/config.json ADDED
@@ -0,0 +1,10 @@
 
 
 
 
 
 
 
 
 
 
 
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+ {
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+ "word_embedding_dimension": 768,
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+ "pooling_mode_cls_token": false,
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+ "pooling_mode_mean_tokens": true,
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+ "pooling_mode_max_tokens": false,
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+ "pooling_mode_mean_sqrt_len_tokens": false,
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+ "pooling_mode_weightedmean_tokens": false,
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+ "pooling_mode_lasttoken": false,
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+ "include_prompt": true
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+ }
checkpoint-824/README.md ADDED
@@ -0,0 +1,1351 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model: bobox/DeBERTa-small-ST-v1-test-step3
3
+ datasets: []
4
+ language: []
5
+ library_name: sentence-transformers
6
+ metrics:
7
+ - pearson_cosine
8
+ - spearman_cosine
9
+ - pearson_manhattan
10
+ - spearman_manhattan
11
+ - pearson_euclidean
12
+ - spearman_euclidean
13
+ - pearson_dot
14
+ - spearman_dot
15
+ - pearson_max
16
+ - spearman_max
17
+ pipeline_tag: sentence-similarity
18
+ tags:
19
+ - sentence-transformers
20
+ - sentence-similarity
21
+ - feature-extraction
22
+ - generated_from_trainer
23
+ - dataset_size:163205
24
+ - loss:CachedGISTEmbedLoss
25
+ widget:
26
+ - source_sentence: interview question on why you want to leave your current job?
27
+ sentences:
28
+ - Carrier proteins bind and carry the molecules across the cell membrane. These
29
+ proteins bind a molecule on one side of the membrane, change shape as they carry
30
+ the molecule across the membrane, and deposit the molecule on the other side of
31
+ the membrane. Even though a protein is involved in both these methods of transport,
32
+ neither method requires energy. Therefore these are still types of passive transport.
33
+ - '[''Desire to learn.'', ''Desire to take on more responsibility.'', ''Desire to
34
+ take on less responsibility.'', ''Desire to relocate.'', ''Desire for a career
35
+ change.'', ''Desire to gain a new skill or grow a current skill.'', ''Company
36
+ reorganization has led to change in job content.'']'
37
+ - The small intestine is a narrow tube that starts at the stomach and ends at the
38
+ large intestine. In adults, it’s about 7 meters (23 feet) long. Most chemical
39
+ digestion and almost all nutrient absorption take place in the small intestine.
40
+ - source_sentence: 'They say a number of people from the Mujahideen-e-Khalq (MEK)
41
+ group were injured at Camp Liberty in Baghdad.
42
+
43
+ Baghdad has in the past repeatedly denied attacking the group.
44
+
45
+ MEK members fought with Iraq against Iran in the 1980s, but have since fallen
46
+ out with the current Iraqi government.
47
+
48
+ In an emailed message, the Paris-based National Council of Resistance of Iran
49
+ (NCRI), the MEK''s parent group, said dozens of missiles hit the camp on Thursday
50
+ evening.
51
+
52
+ It said two residents were killed and a third later died in hospital of his wounds.
53
+
54
+ The US condemned the attack "in the strongest terms" and urged Iraq to better
55
+ protect the camp.
56
+
57
+ An Iranian-backed Shia militia, al-Mukhtar Army, said it had fired rockets at
58
+ the camp, Reuters news agency reported.
59
+
60
+ The camp is located in a former US military base, near Baghdad''s airport.
61
+
62
+ The Iraqi authorities have made no public comments on the report. However, one
63
+ security official was quoted by the Associated Press as saying four rockets hit
64
+ the camp, injuring two people.
65
+
66
+ In September, the MEK accused Iraqi forces of attacking Camp Ashraf north-east
67
+ of Baghdad and killing 52 of the group''s members.
68
+
69
+ In recent years, Baghdad has been trying to dismantle MEK camps and eject the
70
+ group.
71
+
72
+ Iran considers the MEK a terrorist group.
73
+
74
+ The group was removed from the US state department''s list of terrorist organisations
75
+ last year.'
76
+ sentences:
77
+ - A rocket attack has killed three members of an Iranian opposition group in Iraq,
78
+ the group and its parent organisation say.
79
+ - Directions See How It's Made. 1 Preheat the oven to 375 degrees. 2 Heat a large
80
+ skillet over medium heat. 3 Add the spinach. Spread the spinach mixture evenly
81
+ on the bottom of the prepared baking 1 dish. Bake until the egg whites are set,
82
+ about 25 minutes. Let the casserole sit for about 5 minutes, and then cut into
83
+ pieces and 1 serve. Submit a Correction.
84
+ - 'Toll free phone number: 011-44-871-246-0002. Ryan Airlines www.ryanair.com is
85
+ a low-fare airlines headquartered in Dublin, Ireland. Transporting over 103 million
86
+ passengers last year there are 1600 daily flights with 185 destinations. The Ryan
87
+ fleet consists of 300 new Boeing 737-800 aircraft in operation with 283 738 aircraft
88
+ on order.'
89
+ - source_sentence: In what unit is heat measured in?
90
+ sentences:
91
+ - The heat that is either absorbed or released is measured in joules. The mass is
92
+ measured in grams. The change in temperature is given by , where is the final
93
+ temperature and is the initial temperature.
94
+ - The nitrogen atom of a primary amine is bonded to two hydrogen atoms and one carbon.
95
+ The nitrogen atom of a secondary amine is bonded to one hydrogen and two carbons.
96
+ The nitrogen atom of a tertiary amine is bonded to three carbon atoms. Amines
97
+ are typically named by a common system rather than by IUPAC guidelines. The common
98
+ system for naming amines along with several examples is shown below.
99
+ - 'Seattle Symphony Live @ Benaroya Hall — Windborne''s The Music of David Bowie:
100
+ A Rock Symphony with the Seattle Symphony Tuesday, 10 January, 2017 7:30PM Join
101
+ conductor Brent Havens and a full rock band on a symphonic musical odyssey that
102
+ explores the incredible range of David Bowie’s Music.'
103
+ - source_sentence: meristematic tissue definition
104
+ sentences:
105
+ - In this chapter, you saw how pressure and buoyancy of fluids can be used to make
106
+ work easier — from raising a car on a lift to floating a ship on the ocean. Devices
107
+ that make work easier are called machines in physics.
108
+ - A Land Rover is splashing water as it crosses a river.
109
+ - "meristem. n. 1. (Botany) a plant tissue responsible for growth, whose cells divide\
110
+ \ and differentiate to form the tissues and organs of the plant. Meristems occur\
111
+ \ within the stem (see cambium) and leaves and at the tips of stems and roots.\
112
+ \ [C19: from Greek meristos divided, from merizein to divide, from meris portion].\
113
+ \ (Ë\x88mÉ\x9Br É\x99Ë\x8CstÉ\x9Bm)."
114
+ - source_sentence: More than 190 countries and territories around the world had confirmed
115
+ coronavirus cases by March 22 , 2020 .
116
+ sentences:
117
+ - when electricity flows to a light bulb , the light bulb will come on
118
+ - As of 22 March , more than 337,000 cases of COVID-19 have been reported in over
119
+ 190 countries and territories , resulting in more than 14,400 deaths and 96,000
120
+ recoveries .
121
+ - a greenhouse is used to protect plants by keeping them warm
122
+ model-index:
123
+ - name: SentenceTransformer based on bobox/DeBERTa-small-ST-v1-test-step3
124
+ results:
125
+ - task:
126
+ type: semantic-similarity
127
+ name: Semantic Similarity
128
+ dataset:
129
+ name: sts test
130
+ type: sts-test
131
+ metrics:
132
+ - type: pearson_cosine
133
+ value: 0.8784930614535755
134
+ name: Pearson Cosine
135
+ - type: spearman_cosine
136
+ value: 0.9042182109480572
137
+ name: Spearman Cosine
138
+ - type: pearson_manhattan
139
+ value: 0.9070545805039607
140
+ name: Pearson Manhattan
141
+ - type: spearman_manhattan
142
+ value: 0.9038005474254912
143
+ name: Spearman Manhattan
144
+ - type: pearson_euclidean
145
+ value: 0.9078118367014806
146
+ name: Pearson Euclidean
147
+ - type: spearman_euclidean
148
+ value: 0.904759790713416
149
+ name: Spearman Euclidean
150
+ - type: pearson_dot
151
+ value: 0.8587600228422643
152
+ name: Pearson Dot
153
+ - type: spearman_dot
154
+ value: 0.8647310851853892
155
+ name: Spearman Dot
156
+ - type: pearson_max
157
+ value: 0.9078118367014806
158
+ name: Pearson Max
159
+ - type: spearman_max
160
+ value: 0.904759790713416
161
+ name: Spearman Max
162
+ ---
163
+
164
+ # SentenceTransformer based on bobox/DeBERTa-small-ST-v1-test-step3
165
+
166
+ This is a [sentence-transformers](https://www.SBERT.net) model finetuned from [bobox/DeBERTa-small-ST-v1-test-step3](https://huggingface.co/bobox/DeBERTa-small-ST-v1-test-step3) on the bobox/enhanced_nli-50_k dataset. It maps sentences & paragraphs to a 768-dimensional dense vector space and can be used for semantic textual similarity, semantic search, paraphrase mining, text classification, clustering, and more.
167
+
168
+ ## Model Details
169
+
170
+ ### Model Description
171
+ - **Model Type:** Sentence Transformer
172
+ - **Base model:** [bobox/DeBERTa-small-ST-v1-test-step3](https://huggingface.co/bobox/DeBERTa-small-ST-v1-test-step3) <!-- at revision df9aaa75fe0c2791e5ed35ff33de1689d9a5f5ff -->
173
+ - **Maximum Sequence Length:** 512 tokens
174
+ - **Output Dimensionality:** 768 tokens
175
+ - **Similarity Function:** Cosine Similarity
176
+ - **Training Dataset:**
177
+ - bobox/enhanced_nli-50_k
178
+ <!-- - **Language:** Unknown -->
179
+ <!-- - **License:** Unknown -->
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+
181
+ ### Model Sources
182
+
183
+ - **Documentation:** [Sentence Transformers Documentation](https://sbert.net)
184
+ - **Repository:** [Sentence Transformers on GitHub](https://github.com/UKPLab/sentence-transformers)
185
+ - **Hugging Face:** [Sentence Transformers on Hugging Face](https://huggingface.co/models?library=sentence-transformers)
186
+
187
+ ### Full Model Architecture
188
+
189
+ ```
190
+ SentenceTransformer(
191
+ (0): Transformer({'max_seq_length': 512, 'do_lower_case': False}) with Transformer model: DebertaV2Model
192
+ (1): Pooling({'word_embedding_dimension': 768, 'pooling_mode_cls_token': False, 'pooling_mode_mean_tokens': True, 'pooling_mode_max_tokens': False, 'pooling_mode_mean_sqrt_len_tokens': False, 'pooling_mode_weightedmean_tokens': False, 'pooling_mode_lasttoken': False, 'include_prompt': True})
193
+ )
194
+ ```
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+
196
+ ## Usage
197
+
198
+ ### Direct Usage (Sentence Transformers)
199
+
200
+ First install the Sentence Transformers library:
201
+
202
+ ```bash
203
+ pip install -U sentence-transformers
204
+ ```
205
+
206
+ Then you can load this model and run inference.
207
+ ```python
208
+ from sentence_transformers import SentenceTransformer
209
+
210
+ # Download from the 🤗 Hub
211
+ model = SentenceTransformer("bobox/DeBERTa-small-ST-v1-test-UnifiedDatasets-Ft-checkpoints-tmp")
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+ # Run inference
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+ sentences = [
214
+ 'More than 190 countries and territories around the world had confirmed coronavirus cases by March 22 , 2020 .',
215
+ 'As of 22 March , more than 337,000 cases of COVID-19 have been reported in over 190 countries and territories , resulting in more than 14,400 deaths and 96,000 recoveries .',
216
+ 'a greenhouse is used to protect plants by keeping them warm',
217
+ ]
218
+ embeddings = model.encode(sentences)
219
+ print(embeddings.shape)
220
+ # [3, 768]
221
+
222
+ # Get the similarity scores for the embeddings
223
+ similarities = model.similarity(embeddings, embeddings)
224
+ print(similarities.shape)
225
+ # [3, 3]
226
+ ```
227
+
228
+ <!--
229
+ ### Direct Usage (Transformers)
230
+
231
+ <details><summary>Click to see the direct usage in Transformers</summary>
232
+
233
+ </details>
234
+ -->
235
+
236
+ <!--
237
+ ### Downstream Usage (Sentence Transformers)
238
+
239
+ You can finetune this model on your own dataset.
240
+
241
+ <details><summary>Click to expand</summary>
242
+
243
+ </details>
244
+ -->
245
+
246
+ <!--
247
+ ### Out-of-Scope Use
248
+
249
+ *List how the model may foreseeably be misused and address what users ought not to do with the model.*
250
+ -->
251
+
252
+ ## Evaluation
253
+
254
+ ### Metrics
255
+
256
+ #### Semantic Similarity
257
+ * Dataset: `sts-test`
258
+ * Evaluated with [<code>EmbeddingSimilarityEvaluator</code>](https://sbert.net/docs/package_reference/sentence_transformer/evaluation.html#sentence_transformers.evaluation.EmbeddingSimilarityEvaluator)
259
+
260
+ | Metric | Value |
261
+ |:--------------------|:-----------|
262
+ | pearson_cosine | 0.8785 |
263
+ | **spearman_cosine** | **0.9042** |
264
+ | pearson_manhattan | 0.9071 |
265
+ | spearman_manhattan | 0.9038 |
266
+ | pearson_euclidean | 0.9078 |
267
+ | spearman_euclidean | 0.9048 |
268
+ | pearson_dot | 0.8588 |
269
+ | spearman_dot | 0.8647 |
270
+ | pearson_max | 0.9078 |
271
+ | spearman_max | 0.9048 |
272
+
273
+ <!--
274
+ ## Bias, Risks and Limitations
275
+
276
+ *What are the known or foreseeable issues stemming from this model? You could also flag here known failure cases or weaknesses of the model.*
277
+ -->
278
+
279
+ <!--
280
+ ### Recommendations
281
+
282
+ *What are recommendations with respect to the foreseeable issues? For example, filtering explicit content.*
283
+ -->
284
+
285
+ ## Training Details
286
+
287
+ ### Training Dataset
288
+
289
+ #### bobox/enhanced_nli-50_k
290
+
291
+ * Dataset: bobox/enhanced_nli-50_k
292
+ * Size: 163,205 training samples
293
+ * Columns: <code>sentence1</code> and <code>sentence2</code>
294
+ * Approximate statistics based on the first 1000 samples:
295
+ | | sentence1 | sentence2 |
296
+ |:--------|:-----------------------------------------------------------------------------------|:-----------------------------------------------------------------------------------|
297
+ | type | string | string |
298
+ | details | <ul><li>min: 4 tokens</li><li>mean: 36.63 tokens</li><li>max: 370 tokens</li></ul> | <ul><li>min: 2 tokens</li><li>mean: 54.93 tokens</li><li>max: 363 tokens</li></ul> |
299
+ * Samples:
300
+ | sentence1 | sentence2 |
301
+ |:----------------------------------------------------------------------------------------------------------------------------|:---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
302
+ | <code>apple customer number</code> | <code>Apple Customer Service. 800-676-2775. Before dialing Apple Customer Service. We've tried for years to eliminate that 44 minute wait for you. But the fact is that it can still take many phone calls to Apple to resolve your issue. Now you can hire GetHuman to do all the work on the phone for you.</code> |
303
+ | <code>Molly 's Game grossed more than $ 28.5 million in the US and Canada and less than $ 24.65 in other countries .</code> | <code>, Molly 's Game has grossed $ 28.8 million in the United States and Canada , and $ 24.6 million in other territories , for a worldwide total of $ 53.4 million .</code> |
304
+ | <code>mawk definition</code> | <code>Definitions for mawk. Here are all the possible meanings and translations of the word mawk. Wiktionary(0.00 / 0 votes)Rate this definition: Origin: From mawk, mauk, a contraction of mathek, from maðkr, a diminutive of a base from maþa- (Old English maþa), from Indo-European *math-, moth- used in reference to insects and vermin. Cognate with Danish madike, Swedish mask, archaic English maddock (modern maggot).</code> |
305
+ * Loss: [<code>CachedGISTEmbedLoss</code>](https://sbert.net/docs/package_reference/sentence_transformer/losses.html#cachedgistembedloss) with these parameters:
306
+ ```json
307
+ {'guide': SentenceTransformer(
308
+ (0): Transformer({'max_seq_length': 512, 'do_lower_case': False}) with Transformer model: BertModel
309
+ (1): Pooling({'word_embedding_dimension': 768, 'pooling_mode_cls_token': True, 'pooling_mode_mean_tokens': False, 'pooling_mode_max_tokens': False, 'pooling_mode_mean_sqrt_len_tokens': False, 'pooling_mode_weightedmean_tokens': False, 'pooling_mode_lasttoken': False, 'include_prompt': True})
310
+ (2): Normalize()
311
+ ), 'temperature': 0.025}
312
+ ```
313
+
314
+ ### Evaluation Dataset
315
+
316
+ #### bobox/enhanced_nli-50_k
317
+
318
+ * Dataset: bobox/enhanced_nli-50_k
319
+ * Size: 3,052 evaluation samples
320
+ * Columns: <code>sentence1</code> and <code>sentence2</code>
321
+ * Approximate statistics based on the first 1000 samples:
322
+ | | sentence1 | sentence2 |
323
+ |:--------|:-----------------------------------------------------------------------------------|:-----------------------------------------------------------------------------------|
324
+ | type | string | string |
325
+ | details | <ul><li>min: 4 tokens</li><li>mean: 33.13 tokens</li><li>max: 313 tokens</li></ul> | <ul><li>min: 2 tokens</li><li>mean: 58.53 tokens</li><li>max: 422 tokens</li></ul> |
326
+ * Samples:
327
+ | sentence1 | sentence2 |
328
+ |:--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
329
+ | <code>Dwight Beare, 27, from Melbourne, Australia, was killed in the crash near to the 16th milestone on the TT course on the Isle of Man.<br>Mr Beare suffered fatal spine and back injuries on the west of the island on 4 June at about 14:10 BST.<br>A verdict of misadventure was recorded by Coroner John Needham at Douglas Court House earlier.<br>Mr Needham said: "I am not in a position to give an exact reason for the loss of control but Mr Beare would have died almost instantaneously".<br>The inquest heard from a witness who said the carpenter and his passenger, Benjamin Binns, were thrown into the air after their vehicle hit the road side.<br>Mr Binns, who was airlifted to hospital with a broken leg, said before the race both he and Mr Beare had been "excited and confident".<br>"I will miss my friend dearly and his memory will live on," he said.<br>No defects were found on the vehicle.<br>Mr Beare moved to Onchan on the Isle of Man to pursue his road racing passion.<br>He made his TT debut in 2014 finishing 12th in the second race of the week, with his father Noel as his passenger.<br>He returned in 2015 when he came 17th.</code> | <code>A TT racer died after being thrown from his sidecar when he hit the side of a road, an inquest has heard.</code> |
330
+ | <code>are yeezy adidas or nike?</code> | <code>Adidas Yeezy is a fashion collaboration between the German sportswear brand Adidas and American designer Kanye West. The collaboration has become notable for its high-end sneakers, and the Yeezy Boost sneaker line has been considered one of the most influential sneaker brands in the world.</code> |
331
+ | <code>what remains are changed into natural gas by heat and pressure change?</code> | <code>heat and pressure change the remains of prehistoric living things into natural gas. Dinosaurs and Other Prehistoric Creatures Dinosaurs are just one group of prehistoric animals. <br> heat and pressure change the remains of dinosaurs into natural gas</code> |
332
+ * Loss: [<code>CachedGISTEmbedLoss</code>](https://sbert.net/docs/package_reference/sentence_transformer/losses.html#cachedgistembedloss) with these parameters:
333
+ ```json
334
+ {'guide': SentenceTransformer(
335
+ (0): Transformer({'max_seq_length': 512, 'do_lower_case': False}) with Transformer model: BertModel
336
+ (1): Pooling({'word_embedding_dimension': 768, 'pooling_mode_cls_token': True, 'pooling_mode_mean_tokens': False, 'pooling_mode_max_tokens': False, 'pooling_mode_mean_sqrt_len_tokens': False, 'pooling_mode_weightedmean_tokens': False, 'pooling_mode_lasttoken': False, 'include_prompt': True})
337
+ (2): Normalize()
338
+ ), 'temperature': 0.025}
339
+ ```
340
+
341
+ ### Training Hyperparameters
342
+ #### Non-Default Hyperparameters
343
+
344
+ - `eval_strategy`: steps
345
+ - `per_device_train_batch_size`: 320
346
+ - `per_device_eval_batch_size`: 128
347
+ - `learning_rate`: 2e-05
348
+ - `weight_decay`: 0.0001
349
+ - `num_train_epochs`: 2
350
+ - `lr_scheduler_type`: cosine_with_restarts
351
+ - `lr_scheduler_kwargs`: {'num_cycles': 3}
352
+ - `warmup_ratio`: 0.25
353
+ - `save_safetensors`: False
354
+ - `fp16`: True
355
+ - `push_to_hub`: True
356
+ - `hub_model_id`: bobox/DeBERTa-small-ST-v1-test-UnifiedDatasets-Ft-checkpoints-tmp
357
+ - `hub_strategy`: all_checkpoints
358
+ - `batch_sampler`: no_duplicates
359
+
360
+ #### All Hyperparameters
361
+ <details><summary>Click to expand</summary>
362
+
363
+ - `overwrite_output_dir`: False
364
+ - `do_predict`: False
365
+ - `eval_strategy`: steps
366
+ - `prediction_loss_only`: True
367
+ - `per_device_train_batch_size`: 320
368
+ - `per_device_eval_batch_size`: 128
369
+ - `per_gpu_train_batch_size`: None
370
+ - `per_gpu_eval_batch_size`: None
371
+ - `gradient_accumulation_steps`: 1
372
+ - `eval_accumulation_steps`: None
373
+ - `torch_empty_cache_steps`: None
374
+ - `learning_rate`: 2e-05
375
+ - `weight_decay`: 0.0001
376
+ - `adam_beta1`: 0.9
377
+ - `adam_beta2`: 0.999
378
+ - `adam_epsilon`: 1e-08
379
+ - `max_grad_norm`: 1.0
380
+ - `num_train_epochs`: 2
381
+ - `max_steps`: -1
382
+ - `lr_scheduler_type`: cosine_with_restarts
383
+ - `lr_scheduler_kwargs`: {'num_cycles': 3}
384
+ - `warmup_ratio`: 0.25
385
+ - `warmup_steps`: 0
386
+ - `log_level`: passive
387
+ - `log_level_replica`: warning
388
+ - `log_on_each_node`: True
389
+ - `logging_nan_inf_filter`: True
390
+ - `save_safetensors`: False
391
+ - `save_on_each_node`: False
392
+ - `save_only_model`: False
393
+ - `restore_callback_states_from_checkpoint`: False
394
+ - `no_cuda`: False
395
+ - `use_cpu`: False
396
+ - `use_mps_device`: False
397
+ - `seed`: 42
398
+ - `data_seed`: None
399
+ - `jit_mode_eval`: False
400
+ - `use_ipex`: False
401
+ - `bf16`: False
402
+ - `fp16`: True
403
+ - `fp16_opt_level`: O1
404
+ - `half_precision_backend`: auto
405
+ - `bf16_full_eval`: False
406
+ - `fp16_full_eval`: False
407
+ - `tf32`: None
408
+ - `local_rank`: 0
409
+ - `ddp_backend`: None
410
+ - `tpu_num_cores`: None
411
+ - `tpu_metrics_debug`: False
412
+ - `debug`: []
413
+ - `dataloader_drop_last`: False
414
+ - `dataloader_num_workers`: 0
415
+ - `dataloader_prefetch_factor`: None
416
+ - `past_index`: -1
417
+ - `disable_tqdm`: False
418
+ - `remove_unused_columns`: True
419
+ - `label_names`: None
420
+ - `load_best_model_at_end`: False
421
+ - `ignore_data_skip`: False
422
+ - `fsdp`: []
423
+ - `fsdp_min_num_params`: 0
424
+ - `fsdp_config`: {'min_num_params': 0, 'xla': False, 'xla_fsdp_v2': False, 'xla_fsdp_grad_ckpt': False}
425
+ - `fsdp_transformer_layer_cls_to_wrap`: None
426
+ - `accelerator_config`: {'split_batches': False, 'dispatch_batches': None, 'even_batches': True, 'use_seedable_sampler': True, 'non_blocking': False, 'gradient_accumulation_kwargs': None}
427
+ - `deepspeed`: None
428
+ - `label_smoothing_factor`: 0.0
429
+ - `optim`: adamw_torch
430
+ - `optim_args`: None
431
+ - `adafactor`: False
432
+ - `group_by_length`: False
433
+ - `length_column_name`: length
434
+ - `ddp_find_unused_parameters`: None
435
+ - `ddp_bucket_cap_mb`: None
436
+ - `ddp_broadcast_buffers`: False
437
+ - `dataloader_pin_memory`: True
438
+ - `dataloader_persistent_workers`: False
439
+ - `skip_memory_metrics`: True
440
+ - `use_legacy_prediction_loop`: False
441
+ - `push_to_hub`: True
442
+ - `resume_from_checkpoint`: None
443
+ - `hub_model_id`: bobox/DeBERTa-small-ST-v1-test-UnifiedDatasets-Ft-checkpoints-tmp
444
+ - `hub_strategy`: all_checkpoints
445
+ - `hub_private_repo`: False
446
+ - `hub_always_push`: False
447
+ - `gradient_checkpointing`: False
448
+ - `gradient_checkpointing_kwargs`: None
449
+ - `include_inputs_for_metrics`: False
450
+ - `eval_do_concat_batches`: True
451
+ - `fp16_backend`: auto
452
+ - `push_to_hub_model_id`: None
453
+ - `push_to_hub_organization`: None
454
+ - `mp_parameters`:
455
+ - `auto_find_batch_size`: False
456
+ - `full_determinism`: False
457
+ - `torchdynamo`: None
458
+ - `ray_scope`: last
459
+ - `ddp_timeout`: 1800
460
+ - `torch_compile`: False
461
+ - `torch_compile_backend`: None
462
+ - `torch_compile_mode`: None
463
+ - `dispatch_batches`: None
464
+ - `split_batches`: None
465
+ - `include_tokens_per_second`: False
466
+ - `include_num_input_tokens_seen`: False
467
+ - `neftune_noise_alpha`: None
468
+ - `optim_target_modules`: None
469
+ - `batch_eval_metrics`: False
470
+ - `eval_on_start`: False
471
+ - `eval_use_gather_object`: False
472
+ - `batch_sampler`: no_duplicates
473
+ - `multi_dataset_batch_sampler`: proportional
474
+
475
+ </details>
476
+
477
+ ### Training Logs
478
+ <details><summary>Click to expand</summary>
479
+
480
+ | Epoch | Step | Training Loss | loss | sts-test_spearman_cosine |
481
+ |:------:|:----:|:-------------:|:------:|:------------------------:|
482
+ | 0.0020 | 1 | 0.107 | - | - |
483
+ | 0.0039 | 2 | 0.1529 | - | - |
484
+ | 0.0059 | 3 | 0.1874 | - | - |
485
+ | 0.0078 | 4 | 0.1682 | - | - |
486
+ | 0.0098 | 5 | 0.1438 | 0.1470 | 0.9078 |
487
+ | 0.0117 | 6 | 0.2961 | - | - |
488
+ | 0.0137 | 7 | 0.3019 | - | - |
489
+ | 0.0157 | 8 | 0.1184 | - | - |
490
+ | 0.0176 | 9 | 0.3176 | - | - |
491
+ | 0.0196 | 10 | 0.2234 | 0.1468 | 0.9078 |
492
+ | 0.0215 | 11 | 0.1881 | - | - |
493
+ | 0.0235 | 12 | 0.1593 | - | - |
494
+ | 0.0254 | 13 | 0.1833 | - | - |
495
+ | 0.0274 | 14 | 0.1352 | - | - |
496
+ | 0.0294 | 15 | 0.3143 | 0.1462 | 0.9077 |
497
+ | 0.0313 | 16 | 0.1583 | - | - |
498
+ | 0.0333 | 17 | 0.2015 | - | - |
499
+ | 0.0352 | 18 | 0.1476 | - | - |
500
+ | 0.0372 | 19 | 0.1676 | - | - |
501
+ | 0.0391 | 20 | 0.1525 | 0.1454 | 0.9079 |
502
+ | 0.0411 | 21 | 0.1717 | - | - |
503
+ | 0.0431 | 22 | 0.198 | - | - |
504
+ | 0.0450 | 23 | 0.3062 | - | - |
505
+ | 0.0470 | 24 | 0.1241 | - | - |
506
+ | 0.0489 | 25 | 0.1087 | 0.1446 | 0.9082 |
507
+ | 0.0509 | 26 | 0.1767 | - | - |
508
+ | 0.0528 | 27 | 0.1951 | - | - |
509
+ | 0.0548 | 28 | 0.1621 | - | - |
510
+ | 0.0568 | 29 | 0.221 | - | - |
511
+ | 0.0587 | 30 | 0.2241 | 0.1435 | 0.9083 |
512
+ | 0.0607 | 31 | 0.2093 | - | - |
513
+ | 0.0626 | 32 | 0.1615 | - | - |
514
+ | 0.0646 | 33 | 0.1615 | - | - |
515
+ | 0.0665 | 34 | 0.1772 | - | - |
516
+ | 0.0685 | 35 | 0.2324 | 0.1423 | 0.9084 |
517
+ | 0.0705 | 36 | 0.2611 | - | - |
518
+ | 0.0724 | 37 | 0.214 | - | - |
519
+ | 0.0744 | 38 | 0.1985 | - | - |
520
+ | 0.0763 | 39 | 0.1855 | - | - |
521
+ | 0.0783 | 40 | 0.1234 | 0.1410 | 0.9085 |
522
+ | 0.0802 | 41 | 0.1492 | - | - |
523
+ | 0.0822 | 42 | 0.2022 | - | - |
524
+ | 0.0841 | 43 | 0.2146 | - | - |
525
+ | 0.0861 | 44 | 0.1688 | - | - |
526
+ | 0.0881 | 45 | 0.175 | 0.1396 | 0.9087 |
527
+ | 0.0900 | 46 | 0.2123 | - | - |
528
+ | 0.0920 | 47 | 0.1118 | - | - |
529
+ | 0.0939 | 48 | 0.3009 | - | - |
530
+ | 0.0959 | 49 | 0.1071 | - | - |
531
+ | 0.0978 | 50 | 0.2608 | 0.1382 | 0.9085 |
532
+ | 0.0998 | 51 | 0.1368 | - | - |
533
+ | 0.1018 | 52 | 0.2307 | - | - |
534
+ | 0.1037 | 53 | 0.1366 | - | - |
535
+ | 0.1057 | 54 | 0.1857 | - | - |
536
+ | 0.1076 | 55 | 0.2155 | 0.1367 | 0.9085 |
537
+ | 0.1096 | 56 | 0.2022 | - | - |
538
+ | 0.1115 | 57 | 0.2076 | - | - |
539
+ | 0.1135 | 58 | 0.4133 | - | - |
540
+ | 0.1155 | 59 | 0.1823 | - | - |
541
+ | 0.1174 | 60 | 0.1136 | 0.1353 | 0.9088 |
542
+ | 0.1194 | 61 | 0.1687 | - | - |
543
+ | 0.1213 | 62 | 0.1591 | - | - |
544
+ | 0.1233 | 63 | 0.1653 | - | - |
545
+ | 0.1252 | 64 | 0.1799 | - | - |
546
+ | 0.1272 | 65 | 0.1578 | 0.1337 | 0.9090 |
547
+ | 0.1292 | 66 | 0.1844 | - | - |
548
+ | 0.1311 | 67 | 0.1489 | - | - |
549
+ | 0.1331 | 68 | 0.1845 | - | - |
550
+ | 0.1350 | 69 | 0.1364 | - | - |
551
+ | 0.1370 | 70 | 0.1584 | 0.1321 | 0.9086 |
552
+ | 0.1389 | 71 | 0.2279 | - | - |
553
+ | 0.1409 | 72 | 0.2028 | - | - |
554
+ | 0.1429 | 73 | 0.2291 | - | - |
555
+ | 0.1448 | 74 | 0.2419 | - | - |
556
+ | 0.1468 | 75 | 0.1329 | 0.1306 | 0.9083 |
557
+ | 0.1487 | 76 | 0.204 | - | - |
558
+ | 0.1507 | 77 | 0.2239 | - | - |
559
+ | 0.1526 | 78 | 0.2181 | - | - |
560
+ | 0.1546 | 79 | 0.1285 | - | - |
561
+ | 0.1566 | 80 | 0.1067 | 0.1292 | 0.9079 |
562
+ | 0.1585 | 81 | 0.1189 | - | - |
563
+ | 0.1605 | 82 | 0.236 | - | - |
564
+ | 0.1624 | 83 | 0.1584 | - | - |
565
+ | 0.1644 | 84 | 0.1925 | - | - |
566
+ | 0.1663 | 85 | 0.129 | 0.1278 | 0.9079 |
567
+ | 0.1683 | 86 | 0.1376 | - | - |
568
+ | 0.1703 | 87 | 0.1691 | - | - |
569
+ | 0.1722 | 88 | 0.1045 | - | - |
570
+ | 0.1742 | 89 | 0.165 | - | - |
571
+ | 0.1761 | 90 | 0.2926 | 0.1267 | 0.9076 |
572
+ | 0.1781 | 91 | 0.1048 | - | - |
573
+ | 0.1800 | 92 | 0.1596 | - | - |
574
+ | 0.1820 | 93 | 0.2474 | - | - |
575
+ | 0.1840 | 94 | 0.1652 | - | - |
576
+ | 0.1859 | 95 | 0.2483 | 0.1253 | 0.9076 |
577
+ | 0.1879 | 96 | 0.1623 | - | - |
578
+ | 0.1898 | 97 | 0.1955 | - | - |
579
+ | 0.1918 | 98 | 0.2023 | - | - |
580
+ | 0.1937 | 99 | 0.1886 | - | - |
581
+ | 0.1957 | 100 | 0.1284 | 0.1229 | 0.9079 |
582
+ | 0.1977 | 101 | 0.2005 | - | - |
583
+ | 0.1996 | 102 | 0.2301 | - | - |
584
+ | 0.2016 | 103 | 0.2249 | - | - |
585
+ | 0.2035 | 104 | 0.214 | - | - |
586
+ | 0.2055 | 105 | 0.1429 | 0.1208 | 0.9077 |
587
+ | 0.2074 | 106 | 0.17 | - | - |
588
+ | 0.2094 | 107 | 0.1955 | - | - |
589
+ | 0.2114 | 108 | 0.1964 | - | - |
590
+ | 0.2133 | 109 | 0.1246 | - | - |
591
+ | 0.2153 | 110 | 0.1295 | 0.1190 | 0.9072 |
592
+ | 0.2172 | 111 | 0.2203 | - | - |
593
+ | 0.2192 | 112 | 0.2195 | - | - |
594
+ | 0.2211 | 113 | 0.1823 | - | - |
595
+ | 0.2231 | 114 | 0.174 | - | - |
596
+ | 0.2250 | 115 | 0.207 | 0.1175 | 0.9069 |
597
+ | 0.2270 | 116 | 0.2156 | - | - |
598
+ | 0.2290 | 117 | 0.2202 | - | - |
599
+ | 0.2309 | 118 | 0.2718 | - | - |
600
+ | 0.2329 | 119 | 0.1387 | - | - |
601
+ | 0.2348 | 120 | 0.1506 | 0.1168 | 0.9069 |
602
+ | 0.2368 | 121 | 0.1185 | - | - |
603
+ | 0.2387 | 122 | 0.1681 | - | - |
604
+ | 0.2407 | 123 | 0.2321 | - | - |
605
+ | 0.2427 | 124 | 0.1457 | - | - |
606
+ | 0.2446 | 125 | 0.2027 | 0.1165 | 0.9071 |
607
+ | 0.2466 | 126 | 0.1821 | - | - |
608
+ | 0.2485 | 127 | 0.1258 | - | - |
609
+ | 0.2505 | 128 | 0.184 | - | - |
610
+ | 0.2524 | 129 | 0.2015 | - | - |
611
+ | 0.2544 | 130 | 0.1323 | 0.1154 | 0.9074 |
612
+ | 0.2564 | 131 | 0.1939 | - | - |
613
+ | 0.2583 | 132 | 0.1428 | - | - |
614
+ | 0.2603 | 133 | 0.1063 | - | - |
615
+ | 0.2622 | 134 | 0.1602 | - | - |
616
+ | 0.2642 | 135 | 0.1814 | 0.1139 | 0.9067 |
617
+ | 0.2661 | 136 | 0.1518 | - | - |
618
+ | 0.2681 | 137 | 0.1379 | - | - |
619
+ | 0.2701 | 138 | 0.1708 | - | - |
620
+ | 0.2720 | 139 | 0.2046 | - | - |
621
+ | 0.2740 | 140 | 0.1259 | 0.1124 | 0.9063 |
622
+ | 0.2759 | 141 | 0.1181 | - | - |
623
+ | 0.2779 | 142 | 0.2144 | - | - |
624
+ | 0.2798 | 143 | 0.1822 | - | - |
625
+ | 0.2818 | 144 | 0.1667 | - | - |
626
+ | 0.2838 | 145 | 0.0779 | 0.1118 | 0.9060 |
627
+ | 0.2857 | 146 | 0.147 | - | - |
628
+ | 0.2877 | 147 | 0.1913 | - | - |
629
+ | 0.2896 | 148 | 0.1357 | - | - |
630
+ | 0.2916 | 149 | 0.1128 | - | - |
631
+ | 0.2935 | 150 | 0.0996 | 0.1113 | 0.9054 |
632
+ | 0.2955 | 151 | 0.1956 | - | - |
633
+ | 0.2975 | 152 | 0.0942 | - | - |
634
+ | 0.2994 | 153 | 0.1406 | - | - |
635
+ | 0.3014 | 154 | 0.2868 | - | - |
636
+ | 0.3033 | 155 | 0.1102 | 0.1114 | 0.9048 |
637
+ | 0.3053 | 156 | 0.1659 | - | - |
638
+ | 0.3072 | 157 | 0.1645 | - | - |
639
+ | 0.3092 | 158 | 0.151 | - | - |
640
+ | 0.3112 | 159 | 0.158 | - | - |
641
+ | 0.3131 | 160 | 0.2323 | 0.1113 | 0.9048 |
642
+ | 0.3151 | 161 | 0.1157 | - | - |
643
+ | 0.3170 | 162 | 0.1507 | - | - |
644
+ | 0.3190 | 163 | 0.1879 | - | - |
645
+ | 0.3209 | 164 | 0.143 | - | - |
646
+ | 0.3229 | 165 | 0.2227 | 0.1116 | 0.9050 |
647
+ | 0.3249 | 166 | 0.1624 | - | - |
648
+ | 0.3268 | 167 | 0.1345 | - | - |
649
+ | 0.3288 | 168 | 0.1765 | - | - |
650
+ | 0.3307 | 169 | 0.1368 | - | - |
651
+ | 0.3327 | 170 | 0.0962 | 0.1113 | 0.9056 |
652
+ | 0.3346 | 171 | 0.1783 | - | - |
653
+ | 0.3366 | 172 | 0.2019 | - | - |
654
+ | 0.3386 | 173 | 0.1761 | - | - |
655
+ | 0.3405 | 174 | 0.1855 | - | - |
656
+ | 0.3425 | 175 | 0.1922 | 0.1106 | 0.9054 |
657
+ | 0.3444 | 176 | 0.1538 | - | - |
658
+ | 0.3464 | 177 | 0.1049 | - | - |
659
+ | 0.3483 | 178 | 0.1619 | - | - |
660
+ | 0.3503 | 179 | 0.0731 | - | - |
661
+ | 0.3523 | 180 | 0.1205 | 0.1097 | 0.9059 |
662
+ | 0.3542 | 181 | 0.169 | - | - |
663
+ | 0.3562 | 182 | 0.1688 | - | - |
664
+ | 0.3581 | 183 | 0.1274 | - | - |
665
+ | 0.3601 | 184 | 0.1477 | - | - |
666
+ | 0.3620 | 185 | 0.1418 | 0.1094 | 0.9055 |
667
+ | 0.3640 | 186 | 0.2477 | - | - |
668
+ | 0.3659 | 187 | 0.1713 | - | - |
669
+ | 0.3679 | 188 | 0.1703 | - | - |
670
+ | 0.3699 | 189 | 0.1176 | - | - |
671
+ | 0.3718 | 190 | 0.1811 | 0.1084 | 0.9048 |
672
+ | 0.3738 | 191 | 0.162 | - | - |
673
+ | 0.3757 | 192 | 0.1141 | - | - |
674
+ | 0.3777 | 193 | 0.154 | - | - |
675
+ | 0.3796 | 194 | 0.2461 | - | - |
676
+ | 0.3816 | 195 | 0.1573 | 0.1076 | 0.9046 |
677
+ | 0.3836 | 196 | 0.1197 | - | - |
678
+ | 0.3855 | 197 | 0.1395 | - | - |
679
+ | 0.3875 | 198 | 0.0847 | - | - |
680
+ | 0.3894 | 199 | 0.1848 | - | - |
681
+ | 0.3914 | 200 | 0.1377 | 0.1072 | 0.9047 |
682
+ | 0.3933 | 201 | 0.1109 | - | - |
683
+ | 0.3953 | 202 | 0.1051 | - | - |
684
+ | 0.3973 | 203 | 0.0975 | - | - |
685
+ | 0.3992 | 204 | 0.127 | - | - |
686
+ | 0.4012 | 205 | 0.1297 | 0.1069 | 0.9049 |
687
+ | 0.4031 | 206 | 0.0783 | - | - |
688
+ | 0.4051 | 207 | 0.053 | - | - |
689
+ | 0.4070 | 208 | 0.1916 | - | - |
690
+ | 0.4090 | 209 | 0.178 | - | - |
691
+ | 0.4110 | 210 | 0.2343 | 0.1067 | 0.9053 |
692
+ | 0.4129 | 211 | 0.1816 | - | - |
693
+ | 0.4149 | 212 | 0.2522 | - | - |
694
+ | 0.4168 | 213 | 0.1787 | - | - |
695
+ | 0.4188 | 214 | 0.1913 | - | - |
696
+ | 0.4207 | 215 | 0.175 | 0.1055 | 0.9056 |
697
+ | 0.4227 | 216 | 0.1533 | - | - |
698
+ | 0.4247 | 217 | 0.1819 | - | - |
699
+ | 0.4266 | 218 | 0.2541 | - | - |
700
+ | 0.4286 | 219 | 0.1103 | - | - |
701
+ | 0.4305 | 220 | 0.1693 | 0.1040 | 0.9062 |
702
+ | 0.4325 | 221 | 0.1233 | - | - |
703
+ | 0.4344 | 222 | 0.0922 | - | - |
704
+ | 0.4364 | 223 | 0.1243 | - | - |
705
+ | 0.4384 | 224 | 0.1613 | - | - |
706
+ | 0.4403 | 225 | 0.1188 | 0.1030 | 0.9065 |
707
+ | 0.4423 | 226 | 0.196 | - | - |
708
+ | 0.4442 | 227 | 0.2254 | - | - |
709
+ | 0.4462 | 228 | 0.1162 | - | - |
710
+ | 0.4481 | 229 | 0.2579 | - | - |
711
+ | 0.4501 | 230 | 0.1203 | 0.1029 | 0.9071 |
712
+ | 0.4521 | 231 | 0.1654 | - | - |
713
+ | 0.4540 | 232 | 0.1808 | - | - |
714
+ | 0.4560 | 233 | 0.1397 | - | - |
715
+ | 0.4579 | 234 | 0.2177 | - | - |
716
+ | 0.4599 | 235 | 0.162 | 0.1040 | 0.9078 |
717
+ | 0.4618 | 236 | 0.177 | - | - |
718
+ | 0.4638 | 237 | 0.0556 | - | - |
719
+ | 0.4658 | 238 | 0.2285 | - | - |
720
+ | 0.4677 | 239 | 0.1657 | - | - |
721
+ | 0.4697 | 240 | 0.2555 | 0.1053 | 0.9077 |
722
+ | 0.4716 | 241 | 0.1606 | - | - |
723
+ | 0.4736 | 242 | 0.1257 | - | - |
724
+ | 0.4755 | 243 | 0.1898 | - | - |
725
+ | 0.4775 | 244 | 0.1621 | - | - |
726
+ | 0.4795 | 245 | 0.1606 | 0.1054 | 0.9079 |
727
+ | 0.4814 | 246 | 0.0983 | - | - |
728
+ | 0.4834 | 247 | 0.2028 | - | - |
729
+ | 0.4853 | 248 | 0.0997 | - | - |
730
+ | 0.4873 | 249 | 0.1582 | - | - |
731
+ | 0.4892 | 250 | 0.2394 | 0.1052 | 0.9074 |
732
+ | 0.4912 | 251 | 0.2186 | - | - |
733
+ | 0.4932 | 252 | 0.0993 | - | - |
734
+ | 0.4951 | 253 | 0.1805 | - | - |
735
+ | 0.4971 | 254 | 0.1178 | - | - |
736
+ | 0.4990 | 255 | 0.2198 | 0.1043 | 0.9070 |
737
+ | 0.5010 | 256 | 0.1064 | - | - |
738
+ | 0.5029 | 257 | 0.1436 | - | - |
739
+ | 0.5049 | 258 | 0.0859 | - | - |
740
+ | 0.5068 | 259 | 0.2157 | - | - |
741
+ | 0.5088 | 260 | 0.1455 | 0.1029 | 0.9058 |
742
+ | 0.5108 | 261 | 0.1974 | - | - |
743
+ | 0.5127 | 262 | 0.1667 | - | - |
744
+ | 0.5147 | 263 | 0.1512 | - | - |
745
+ | 0.5166 | 264 | 0.1684 | - | - |
746
+ | 0.5186 | 265 | 0.2132 | 0.1012 | 0.9053 |
747
+ | 0.5205 | 266 | 0.1645 | - | - |
748
+ | 0.5225 | 267 | 0.203 | - | - |
749
+ | 0.5245 | 268 | 0.1539 | - | - |
750
+ | 0.5264 | 269 | 0.1445 | - | - |
751
+ | 0.5284 | 270 | 0.1377 | 0.0994 | 0.9056 |
752
+ | 0.5303 | 271 | 0.1719 | - | - |
753
+ | 0.5323 | 272 | 0.1896 | - | - |
754
+ | 0.5342 | 273 | 0.1452 | - | - |
755
+ | 0.5362 | 274 | 0.1275 | - | - |
756
+ | 0.5382 | 275 | 0.1883 | 0.0980 | 0.9057 |
757
+ | 0.5401 | 276 | 0.1462 | - | - |
758
+ | 0.5421 | 277 | 0.1595 | - | - |
759
+ | 0.5440 | 278 | 0.1693 | - | - |
760
+ | 0.5460 | 279 | 0.1929 | - | - |
761
+ | 0.5479 | 280 | 0.154 | 0.0970 | 0.9053 |
762
+ | 0.5499 | 281 | 0.1468 | - | - |
763
+ | 0.5519 | 282 | 0.0898 | - | - |
764
+ | 0.5538 | 283 | 0.1425 | - | - |
765
+ | 0.5558 | 284 | 0.1362 | - | - |
766
+ | 0.5577 | 285 | 0.1025 | 0.0978 | 0.9053 |
767
+ | 0.5597 | 286 | 0.1578 | - | - |
768
+ | 0.5616 | 287 | 0.1235 | - | - |
769
+ | 0.5636 | 288 | 0.1109 | - | - |
770
+ | 0.5656 | 289 | 0.0746 | - | - |
771
+ | 0.5675 | 290 | 0.1471 | 0.0992 | 0.9053 |
772
+ | 0.5695 | 291 | 0.2631 | - | - |
773
+ | 0.5714 | 292 | 0.11 | - | - |
774
+ | 0.5734 | 293 | 0.1834 | - | - |
775
+ | 0.5753 | 294 | 0.1277 | - | - |
776
+ | 0.5773 | 295 | 0.2104 | 0.0990 | 0.9042 |
777
+ | 0.5793 | 296 | 0.1294 | - | - |
778
+ | 0.5812 | 297 | 0.1672 | - | - |
779
+ | 0.5832 | 298 | 0.2171 | - | - |
780
+ | 0.5851 | 299 | 0.1451 | - | - |
781
+ | 0.5871 | 300 | 0.0871 | 0.0980 | 0.9033 |
782
+ | 0.5890 | 301 | 0.0897 | - | - |
783
+ | 0.5910 | 302 | 0.1296 | - | - |
784
+ | 0.5930 | 303 | 0.1206 | - | - |
785
+ | 0.5949 | 304 | 0.1665 | - | - |
786
+ | 0.5969 | 305 | 0.1511 | 0.0979 | 0.9032 |
787
+ | 0.5988 | 306 | 0.1566 | - | - |
788
+ | 0.6008 | 307 | 0.1339 | - | - |
789
+ | 0.6027 | 308 | 0.1474 | - | - |
790
+ | 0.6047 | 309 | 0.1022 | - | - |
791
+ | 0.6067 | 310 | 0.1263 | 0.0983 | 0.9043 |
792
+ | 0.6086 | 311 | 0.1713 | - | - |
793
+ | 0.6106 | 312 | 0.1628 | - | - |
794
+ | 0.6125 | 313 | 0.1585 | - | - |
795
+ | 0.6145 | 314 | 0.1419 | - | - |
796
+ | 0.6164 | 315 | 0.1136 | 0.0983 | 0.9040 |
797
+ | 0.6184 | 316 | 0.255 | - | - |
798
+ | 0.6204 | 317 | 0.1262 | - | - |
799
+ | 0.6223 | 318 | 0.1393 | - | - |
800
+ | 0.6243 | 319 | 0.1134 | - | - |
801
+ | 0.6262 | 320 | 0.1441 | 0.0984 | 0.9033 |
802
+ | 0.6282 | 321 | 0.1744 | - | - |
803
+ | 0.6301 | 322 | 0.2124 | - | - |
804
+ | 0.6321 | 323 | 0.1267 | - | - |
805
+ | 0.6341 | 324 | 0.1435 | - | - |
806
+ | 0.6360 | 325 | 0.1705 | 0.0989 | 0.9023 |
807
+ | 0.6380 | 326 | 0.1441 | - | - |
808
+ | 0.6399 | 327 | 0.118 | - | - |
809
+ | 0.6419 | 328 | 0.1956 | - | - |
810
+ | 0.6438 | 329 | 0.0803 | - | - |
811
+ | 0.6458 | 330 | 0.1651 | 0.0991 | 0.9022 |
812
+ | 0.6477 | 331 | 0.1498 | - | - |
813
+ | 0.6497 | 332 | 0.1171 | - | - |
814
+ | 0.6517 | 333 | 0.1976 | - | - |
815
+ | 0.6536 | 334 | 0.0926 | - | - |
816
+ | 0.6556 | 335 | 0.1496 | 0.0991 | 0.9026 |
817
+ | 0.6575 | 336 | 0.1131 | - | - |
818
+ | 0.6595 | 337 | 0.1352 | - | - |
819
+ | 0.6614 | 338 | 0.1608 | - | - |
820
+ | 0.6634 | 339 | 0.1239 | - | - |
821
+ | 0.6654 | 340 | 0.1227 | 0.0993 | 0.9019 |
822
+ | 0.6673 | 341 | 0.1452 | - | - |
823
+ | 0.6693 | 342 | 0.1992 | - | - |
824
+ | 0.6712 | 343 | 0.1349 | - | - |
825
+ | 0.6732 | 344 | 0.1702 | - | - |
826
+ | 0.6751 | 345 | 0.1033 | 0.0990 | 0.9022 |
827
+ | 0.6771 | 346 | 0.1788 | - | - |
828
+ | 0.6791 | 347 | 0.1084 | - | - |
829
+ | 0.6810 | 348 | 0.1325 | - | - |
830
+ | 0.6830 | 349 | 0.1537 | - | - |
831
+ | 0.6849 | 350 | 0.2099 | 0.0989 | 0.9022 |
832
+ | 0.6869 | 351 | 0.1603 | - | - |
833
+ | 0.6888 | 352 | 0.0982 | - | - |
834
+ | 0.6908 | 353 | 0.1537 | - | - |
835
+ | 0.6928 | 354 | 0.1758 | - | - |
836
+ | 0.6947 | 355 | 0.1521 | 0.0990 | 0.9019 |
837
+ | 0.6967 | 356 | 0.089 | - | - |
838
+ | 0.6986 | 357 | 0.1509 | - | - |
839
+ | 0.7006 | 358 | 0.1943 | - | - |
840
+ | 0.7025 | 359 | 0.1582 | - | - |
841
+ | 0.7045 | 360 | 0.1527 | 0.0993 | 0.9008 |
842
+ | 0.7065 | 361 | 0.0754 | - | - |
843
+ | 0.7084 | 362 | 0.122 | - | - |
844
+ | 0.7104 | 363 | 0.1727 | - | - |
845
+ | 0.7123 | 364 | 0.074 | - | - |
846
+ | 0.7143 | 365 | 0.1822 | 0.0998 | 0.9005 |
847
+ | 0.7162 | 366 | 0.1344 | - | - |
848
+ | 0.7182 | 367 | 0.1819 | - | - |
849
+ | 0.7202 | 368 | 0.1811 | - | - |
850
+ | 0.7221 | 369 | 0.1564 | - | - |
851
+ | 0.7241 | 370 | 0.1522 | 0.0997 | 0.8998 |
852
+ | 0.7260 | 371 | 0.1379 | - | - |
853
+ | 0.7280 | 372 | 0.082 | - | - |
854
+ | 0.7299 | 373 | 0.1288 | - | - |
855
+ | 0.7319 | 374 | 0.1809 | - | - |
856
+ | 0.7339 | 375 | 0.2418 | 0.0991 | 0.9006 |
857
+ | 0.7358 | 376 | 0.0789 | - | - |
858
+ | 0.7378 | 377 | 0.132 | - | - |
859
+ | 0.7397 | 378 | 0.1425 | - | - |
860
+ | 0.7417 | 379 | 0.1514 | - | - |
861
+ | 0.7436 | 380 | 0.0997 | 0.0984 | 0.9018 |
862
+ | 0.7456 | 381 | 0.2002 | - | - |
863
+ | 0.7476 | 382 | 0.1943 | - | - |
864
+ | 0.7495 | 383 | 0.1198 | - | - |
865
+ | 0.7515 | 384 | 0.1171 | - | - |
866
+ | 0.7534 | 385 | 0.0872 | 0.0978 | 0.9026 |
867
+ | 0.7554 | 386 | 0.0937 | - | - |
868
+ | 0.7573 | 387 | 0.0933 | - | - |
869
+ | 0.7593 | 388 | 0.1109 | - | - |
870
+ | 0.7613 | 389 | 0.0999 | - | - |
871
+ | 0.7632 | 390 | 0.1625 | 0.0973 | 0.9034 |
872
+ | 0.7652 | 391 | 0.1357 | - | - |
873
+ | 0.7671 | 392 | 0.1202 | - | - |
874
+ | 0.7691 | 393 | 0.116 | - | - |
875
+ | 0.7710 | 394 | 0.1256 | - | - |
876
+ | 0.7730 | 395 | 0.2402 | 0.0969 | 0.9037 |
877
+ | 0.7750 | 396 | 0.2413 | - | - |
878
+ | 0.7769 | 397 | 0.1144 | - | - |
879
+ | 0.7789 | 398 | 0.1198 | - | - |
880
+ | 0.7808 | 399 | 0.1361 | - | - |
881
+ | 0.7828 | 400 | 0.1496 | 0.0964 | 0.9038 |
882
+ | 0.7847 | 401 | 0.1606 | - | - |
883
+ | 0.7867 | 402 | 0.1739 | - | - |
884
+ | 0.7886 | 403 | 0.1121 | - | - |
885
+ | 0.7906 | 404 | 0.1176 | - | - |
886
+ | 0.7926 | 405 | 0.1024 | 0.0955 | 0.9034 |
887
+ | 0.7945 | 406 | 0.1256 | - | - |
888
+ | 0.7965 | 407 | 0.1424 | - | - |
889
+ | 0.7984 | 408 | 0.181 | - | - |
890
+ | 0.8004 | 409 | 0.0829 | - | - |
891
+ | 0.8023 | 410 | 0.2329 | 0.0949 | 0.9032 |
892
+ | 0.8043 | 411 | 0.075 | - | - |
893
+ | 0.8063 | 412 | 0.1157 | - | - |
894
+ | 0.8082 | 413 | 0.1383 | - | - |
895
+ | 0.8102 | 414 | 0.1042 | - | - |
896
+ | 0.8121 | 415 | 0.1352 | 0.0943 | 0.9025 |
897
+ | 0.8141 | 416 | 0.0778 | - | - |
898
+ | 0.8160 | 417 | 0.1006 | - | - |
899
+ | 0.8180 | 418 | 0.2188 | - | - |
900
+ | 0.8200 | 419 | 0.1338 | - | - |
901
+ | 0.8219 | 420 | 0.1314 | 0.0940 | 0.9023 |
902
+ | 0.8239 | 421 | 0.1298 | - | - |
903
+ | 0.8258 | 422 | 0.1573 | - | - |
904
+ | 0.8278 | 423 | 0.1283 | - | - |
905
+ | 0.8297 | 424 | 0.1998 | - | - |
906
+ | 0.8317 | 425 | 0.0747 | 0.0939 | 0.9019 |
907
+ | 0.8337 | 426 | 0.142 | - | - |
908
+ | 0.8356 | 427 | 0.131 | - | - |
909
+ | 0.8376 | 428 | 0.1037 | - | - |
910
+ | 0.8395 | 429 | 0.1145 | - | - |
911
+ | 0.8415 | 430 | 0.1371 | 0.0939 | 0.9020 |
912
+ | 0.8434 | 431 | 0.1457 | - | - |
913
+ | 0.8454 | 432 | 0.123 | - | - |
914
+ | 0.8474 | 433 | 0.1312 | - | - |
915
+ | 0.8493 | 434 | 0.1301 | - | - |
916
+ | 0.8513 | 435 | 0.1324 | 0.0940 | 0.9021 |
917
+ | 0.8532 | 436 | 0.1826 | - | - |
918
+ | 0.8552 | 437 | 0.2145 | - | - |
919
+ | 0.8571 | 438 | 0.132 | - | - |
920
+ | 0.8591 | 439 | 0.1263 | - | - |
921
+ | 0.8611 | 440 | 0.1461 | 0.0942 | 0.9022 |
922
+ | 0.8630 | 441 | 0.1349 | - | - |
923
+ | 0.8650 | 442 | 0.0824 | - | - |
924
+ | 0.8669 | 443 | 0.1639 | - | - |
925
+ | 0.8689 | 444 | 0.1403 | - | - |
926
+ | 0.8708 | 445 | 0.1766 | 0.0943 | 0.9024 |
927
+ | 0.8728 | 446 | 0.1402 | - | - |
928
+ | 0.8748 | 447 | 0.1203 | - | - |
929
+ | 0.8767 | 448 | 0.1398 | - | - |
930
+ | 0.8787 | 449 | 0.2226 | - | - |
931
+ | 0.8806 | 450 | 0.0943 | 0.0943 | 0.9024 |
932
+ | 0.8826 | 451 | 0.1101 | - | - |
933
+ | 0.8845 | 452 | 0.1536 | - | - |
934
+ | 0.8865 | 453 | 0.1159 | - | - |
935
+ | 0.8885 | 454 | 0.1373 | - | - |
936
+ | 0.8904 | 455 | 0.1412 | 0.0943 | 0.9026 |
937
+ | 0.8924 | 456 | 0.0626 | - | - |
938
+ | 0.8943 | 457 | 0.1447 | - | - |
939
+ | 0.8963 | 458 | 0.1296 | - | - |
940
+ | 0.8982 | 459 | 0.1407 | - | - |
941
+ | 0.9002 | 460 | 0.1966 | 0.0943 | 0.9026 |
942
+ | 0.9022 | 461 | 0.1019 | - | - |
943
+ | 0.9041 | 462 | 0.1332 | - | - |
944
+ | 0.9061 | 463 | 0.1417 | - | - |
945
+ | 0.9080 | 464 | 0.1782 | - | - |
946
+ | 0.9100 | 465 | 0.1068 | 0.0943 | 0.9025 |
947
+ | 0.9119 | 466 | 0.1292 | - | - |
948
+ | 0.9139 | 467 | 0.1896 | - | - |
949
+ | 0.9159 | 468 | 0.1597 | - | - |
950
+ | 0.9178 | 469 | 0.1588 | - | - |
951
+ | 0.9198 | 470 | 0.13 | 0.0942 | 0.9026 |
952
+ | 0.9217 | 471 | 0.1593 | - | - |
953
+ | 0.9237 | 472 | 0.1137 | - | - |
954
+ | 0.9256 | 473 | 0.1295 | - | - |
955
+ | 0.9276 | 474 | 0.1367 | - | - |
956
+ | 0.9295 | 475 | 0.107 | 0.0942 | 0.9025 |
957
+ | 0.9315 | 476 | 0.1442 | - | - |
958
+ | 0.9335 | 477 | 0.1841 | - | - |
959
+ | 0.9354 | 478 | 0.0436 | - | - |
960
+ | 0.9374 | 479 | 0.0908 | - | - |
961
+ | 0.9393 | 480 | 0.1233 | 0.0941 | 0.9026 |
962
+ | 0.9413 | 481 | 0.1676 | - | - |
963
+ | 0.9432 | 482 | 0.1449 | - | - |
964
+ | 0.9452 | 483 | 0.1234 | - | - |
965
+ | 0.9472 | 484 | 0.076 | - | - |
966
+ | 0.9491 | 485 | 0.1369 | 0.0941 | 0.9026 |
967
+ | 0.9511 | 486 | 0.144 | - | - |
968
+ | 0.9530 | 487 | 0.0874 | - | - |
969
+ | 0.9550 | 488 | 0.195 | - | - |
970
+ | 0.9569 | 489 | 0.1585 | - | - |
971
+ | 0.9589 | 490 | 0.1152 | 0.0941 | 0.9027 |
972
+ | 0.9609 | 491 | 0.0862 | - | - |
973
+ | 0.9628 | 492 | 0.2244 | - | - |
974
+ | 0.9648 | 493 | 0.0987 | - | - |
975
+ | 0.9667 | 494 | 0.105 | - | - |
976
+ | 0.9687 | 495 | 0.1777 | 0.0940 | 0.9026 |
977
+ | 0.9706 | 496 | 0.1838 | - | - |
978
+ | 0.9726 | 497 | 0.1813 | - | - |
979
+ | 0.9746 | 498 | 0.0994 | - | - |
980
+ | 0.9765 | 499 | 0.1576 | - | - |
981
+ | 0.9785 | 500 | 0.1298 | 0.0940 | 0.9027 |
982
+ | 0.9804 | 501 | 0.1884 | - | - |
983
+ | 0.9824 | 502 | 0.1032 | - | - |
984
+ | 0.9843 | 503 | 0.1164 | - | - |
985
+ | 0.9863 | 504 | 0.1466 | - | - |
986
+ | 0.9883 | 505 | 0.2192 | 0.0940 | 0.9027 |
987
+ | 0.9902 | 506 | 0.1302 | - | - |
988
+ | 0.9922 | 507 | 0.1371 | - | - |
989
+ | 0.9941 | 508 | 0.1543 | - | - |
990
+ | 0.9961 | 509 | 0.1084 | - | - |
991
+ | 0.9980 | 510 | 0.0 | 0.0940 | 0.9027 |
992
+ | 1.0 | 511 | 0.0 | - | - |
993
+ | 1.0020 | 512 | 0.0 | - | - |
994
+ | 1.0039 | 513 | 0.0 | - | - |
995
+ | 1.0059 | 514 | 0.0 | - | - |
996
+ | 1.0078 | 515 | 0.0 | 0.0938 | 0.9030 |
997
+ | 1.0098 | 516 | 0.0 | - | - |
998
+ | 1.0117 | 517 | 0.0 | - | - |
999
+ | 1.0137 | 518 | 0.0 | - | - |
1000
+ | 1.0157 | 519 | 0.0 | - | - |
1001
+ | 1.0176 | 520 | 0.0 | 0.0935 | 0.9037 |
1002
+ | 1.0196 | 521 | 0.0 | - | - |
1003
+ | 1.0215 | 522 | 0.0 | - | - |
1004
+ | 1.0235 | 523 | 0.0 | - | - |
1005
+ | 1.0254 | 524 | 0.0 | - | - |
1006
+ | 1.0274 | 525 | 0.0 | 0.0934 | 0.9039 |
1007
+ | 1.0294 | 526 | 0.0 | - | - |
1008
+ | 1.0313 | 527 | 0.0 | - | - |
1009
+ | 1.0333 | 528 | 0.0 | - | - |
1010
+ | 1.0352 | 529 | 0.0 | - | - |
1011
+ | 1.0372 | 530 | 0.0 | 0.0933 | 0.9041 |
1012
+ | 1.0391 | 531 | 0.0 | - | - |
1013
+ | 1.0411 | 532 | 0.0 | - | - |
1014
+ | 1.0431 | 533 | 0.0 | - | - |
1015
+ | 1.0450 | 534 | 0.0 | - | - |
1016
+ | 1.0470 | 535 | 0.0 | 0.0933 | 0.9042 |
1017
+ | 1.0489 | 536 | 0.0 | - | - |
1018
+ | 1.0509 | 537 | 0.0 | - | - |
1019
+ | 1.0528 | 538 | 0.0 | - | - |
1020
+ | 1.0548 | 539 | 0.0 | - | - |
1021
+ | 1.0568 | 540 | 0.0 | 0.0933 | 0.9042 |
1022
+ | 1.0587 | 541 | 0.0 | - | - |
1023
+ | 1.0607 | 542 | 0.0 | - | - |
1024
+ | 1.0626 | 543 | 0.0 | - | - |
1025
+ | 1.0646 | 544 | 0.0 | - | - |
1026
+ | 1.0665 | 545 | 0.0 | 0.0933 | 0.9042 |
1027
+ | 1.0685 | 546 | 0.0 | - | - |
1028
+ | 1.0705 | 547 | 0.0 | - | - |
1029
+ | 1.0724 | 548 | 0.0 | - | - |
1030
+ | 1.0744 | 549 | 0.0 | - | - |
1031
+ | 1.0763 | 550 | 0.0 | 0.0933 | 0.9042 |
1032
+ | 1.0783 | 551 | 0.0 | - | - |
1033
+ | 1.0802 | 552 | 0.0 | - | - |
1034
+ | 1.0822 | 553 | 0.0 | - | - |
1035
+ | 1.0841 | 554 | 0.0 | - | - |
1036
+ | 1.0861 | 555 | 0.0 | 0.0933 | 0.9042 |
1037
+ | 1.0881 | 556 | 0.0 | - | - |
1038
+ | 1.0900 | 557 | 0.0 | - | - |
1039
+ | 1.0920 | 558 | 0.0 | - | - |
1040
+ | 1.0939 | 559 | 0.0 | - | - |
1041
+ | 1.0959 | 560 | 0.0 | 0.0933 | 0.9042 |
1042
+ | 1.0978 | 561 | 0.0 | - | - |
1043
+ | 1.0998 | 562 | 0.0 | - | - |
1044
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1045
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1046
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1047
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1048
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1049
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1050
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1051
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1052
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1053
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1054
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1055
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1056
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1057
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1058
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1059
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1060
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1061
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1062
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1063
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1064
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1065
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1066
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1067
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1068
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1069
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1070
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1071
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1072
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1073
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1074
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1075
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1076
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1077
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1078
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1079
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1080
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1081
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1082
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1083
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1084
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1085
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1086
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1087
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1088
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1089
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1090
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1091
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1092
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1093
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1094
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1095
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1096
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1097
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1098
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1099
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1100
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1101
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1102
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1103
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1104
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1105
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1106
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1107
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1108
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1109
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1110
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1111
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1113
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1114
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1115
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1116
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1117
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1118
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1119
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1120
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1121
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1122
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1123
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1124
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1125
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1126
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1127
+ | 1.2642 | 646 | 0.0 | - | - |
1128
+ | 1.2661 | 647 | 0.0 | - | - |
1129
+ | 1.2681 | 648 | 0.0 | - | - |
1130
+ | 1.2701 | 649 | 0.0 | - | - |
1131
+ | 1.2720 | 650 | 0.0 | 0.0934 | 0.9042 |
1132
+ | 1.2740 | 651 | 0.0 | - | - |
1133
+ | 1.2759 | 652 | 0.0 | - | - |
1134
+ | 1.2779 | 653 | 0.0 | - | - |
1135
+ | 1.2798 | 654 | 0.0 | - | - |
1136
+ | 1.2818 | 655 | 0.0 | 0.0934 | 0.9042 |
1137
+ | 1.2838 | 656 | 0.0 | - | - |
1138
+ | 1.2857 | 657 | 0.0 | - | - |
1139
+ | 1.2877 | 658 | 0.0 | - | - |
1140
+ | 1.2896 | 659 | 0.0 | - | - |
1141
+ | 1.2916 | 660 | 0.0 | 0.0934 | 0.9042 |
1142
+ | 1.2935 | 661 | 0.0 | - | - |
1143
+ | 1.2955 | 662 | 0.0 | - | - |
1144
+ | 1.2975 | 663 | 0.0 | - | - |
1145
+ | 1.2994 | 664 | 0.0 | - | - |
1146
+ | 1.3014 | 665 | 0.0 | 0.0934 | 0.9042 |
1147
+ | 1.3033 | 666 | 0.0 | - | - |
1148
+ | 1.3053 | 667 | 0.0 | - | - |
1149
+ | 1.3072 | 668 | 0.0 | - | - |
1150
+ | 1.3092 | 669 | 0.0 | - | - |
1151
+ | 1.3112 | 670 | 0.0 | 0.0934 | 0.9042 |
1152
+ | 1.3131 | 671 | 0.0 | - | - |
1153
+ | 1.3151 | 672 | 0.0 | - | - |
1154
+ | 1.3170 | 673 | 0.0 | - | - |
1155
+ | 1.3190 | 674 | 0.0 | - | - |
1156
+ | 1.3209 | 675 | 0.0 | 0.0934 | 0.9042 |
1157
+ | 1.3229 | 676 | 0.0 | - | - |
1158
+ | 1.3249 | 677 | 0.0 | - | - |
1159
+ | 1.3268 | 678 | 0.0 | - | - |
1160
+ | 1.3288 | 679 | 0.0 | - | - |
1161
+ | 1.3307 | 680 | 0.0 | 0.0934 | 0.9042 |
1162
+ | 1.3327 | 681 | 0.0 | - | - |
1163
+ | 1.3346 | 682 | 0.0 | - | - |
1164
+ | 1.3366 | 683 | 0.0 | - | - |
1165
+ | 1.3386 | 684 | 0.0 | - | - |
1166
+ | 1.3405 | 685 | 0.0 | 0.0934 | 0.9042 |
1167
+ | 1.3425 | 686 | 0.0 | - | - |
1168
+ | 1.3444 | 687 | 0.0 | - | - |
1169
+ | 1.3464 | 688 | 0.0 | - | - |
1170
+ | 1.3483 | 689 | 0.0 | - | - |
1171
+ | 1.3503 | 690 | 0.0 | 0.0934 | 0.9042 |
1172
+ | 1.3523 | 691 | 0.0 | - | - |
1173
+ | 1.3542 | 692 | 0.0 | - | - |
1174
+ | 1.3562 | 693 | 0.0 | - | - |
1175
+ | 1.3581 | 694 | 0.0 | - | - |
1176
+ | 1.3601 | 695 | 0.0 | 0.0934 | 0.9042 |
1177
+ | 1.3620 | 696 | 0.0 | - | - |
1178
+ | 1.3640 | 697 | 0.0 | - | - |
1179
+ | 1.3659 | 698 | 0.0 | - | - |
1180
+ | 1.3679 | 699 | 0.0 | - | - |
1181
+ | 1.3699 | 700 | 0.0 | 0.0934 | 0.9042 |
1182
+ | 1.3718 | 701 | 0.0 | - | - |
1183
+ | 1.3738 | 702 | 0.0 | - | - |
1184
+ | 1.3757 | 703 | 0.0 | - | - |
1185
+ | 1.3777 | 704 | 0.0 | - | - |
1186
+ | 1.3796 | 705 | 0.0 | 0.0934 | 0.9042 |
1187
+ | 1.3816 | 706 | 0.0 | - | - |
1188
+ | 1.3836 | 707 | 0.0 | - | - |
1189
+ | 1.3855 | 708 | 0.0 | - | - |
1190
+ | 1.3875 | 709 | 0.0 | - | - |
1191
+ | 1.3894 | 710 | 0.0 | 0.0934 | 0.9042 |
1192
+ | 1.3914 | 711 | 0.0 | - | - |
1193
+ | 1.3933 | 712 | 0.0 | - | - |
1194
+ | 1.3953 | 713 | 0.0 | - | - |
1195
+ | 1.3973 | 714 | 0.0 | - | - |
1196
+ | 1.3992 | 715 | 0.0 | 0.0934 | 0.9042 |
1197
+ | 1.4012 | 716 | 0.0 | - | - |
1198
+ | 1.4031 | 717 | 0.0 | - | - |
1199
+ | 1.4051 | 718 | 0.0 | - | - |
1200
+ | 1.4070 | 719 | 0.0 | - | - |
1201
+ | 1.4090 | 720 | 0.0 | 0.0934 | 0.9042 |
1202
+ | 1.4110 | 721 | 0.0 | - | - |
1203
+ | 1.4129 | 722 | 0.0 | - | - |
1204
+ | 1.4149 | 723 | 0.0 | - | - |
1205
+ | 1.4168 | 724 | 0.0 | - | - |
1206
+ | 1.4188 | 725 | 0.0 | 0.0934 | 0.9042 |
1207
+ | 1.4207 | 726 | 0.0 | - | - |
1208
+ | 1.4227 | 727 | 0.0 | - | - |
1209
+ | 1.4247 | 728 | 0.0 | - | - |
1210
+ | 1.4266 | 729 | 0.0 | - | - |
1211
+ | 1.4286 | 730 | 0.0 | 0.0934 | 0.9042 |
1212
+ | 1.4305 | 731 | 0.0 | - | - |
1213
+ | 1.4325 | 732 | 0.0 | - | - |
1214
+ | 1.4344 | 733 | 0.0 | - | - |
1215
+ | 1.4364 | 734 | 0.0 | - | - |
1216
+ | 1.4384 | 735 | 0.0 | 0.0934 | 0.9042 |
1217
+ | 1.4403 | 736 | 0.0 | - | - |
1218
+ | 1.4423 | 737 | 0.0 | - | - |
1219
+ | 1.4442 | 738 | 0.0 | - | - |
1220
+ | 1.4462 | 739 | 0.0 | - | - |
1221
+ | 1.4481 | 740 | 0.0 | 0.0934 | 0.9042 |
1222
+ | 1.4501 | 741 | 0.0 | - | - |
1223
+ | 1.4521 | 742 | 0.0 | - | - |
1224
+ | 1.4540 | 743 | 0.0 | - | - |
1225
+ | 1.4560 | 744 | 0.0 | - | - |
1226
+ | 1.4579 | 745 | 0.0 | 0.0934 | 0.9042 |
1227
+ | 1.4599 | 746 | 0.0 | - | - |
1228
+ | 1.4618 | 747 | 0.0 | - | - |
1229
+ | 1.4638 | 748 | 0.0 | - | - |
1230
+ | 1.4658 | 749 | 0.0 | - | - |
1231
+ | 1.4677 | 750 | 0.0 | 0.0934 | 0.9042 |
1232
+ | 1.4697 | 751 | 0.0 | - | - |
1233
+ | 1.4716 | 752 | 0.0 | - | - |
1234
+ | 1.4736 | 753 | 0.0 | - | - |
1235
+ | 1.4755 | 754 | 0.0 | - | - |
1236
+ | 1.4775 | 755 | 0.0 | 0.0934 | 0.9042 |
1237
+ | 1.4795 | 756 | 0.0 | - | - |
1238
+ | 1.4814 | 757 | 0.0 | - | - |
1239
+ | 1.4834 | 758 | 0.0 | - | - |
1240
+ | 1.4853 | 759 | 0.0 | - | - |
1241
+ | 1.4873 | 760 | 0.0 | 0.0934 | 0.9042 |
1242
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1243
+ | 1.4912 | 762 | 0.0 | - | - |
1244
+ | 1.4932 | 763 | 0.0 | - | - |
1245
+ | 1.4951 | 764 | 0.0 | - | - |
1246
+ | 1.4971 | 765 | 0.0 | 0.0934 | 0.9042 |
1247
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1248
+ | 1.5010 | 767 | 0.0 | - | - |
1249
+ | 1.5029 | 768 | 0.0 | - | - |
1250
+ | 1.5049 | 769 | 0.0 | - | - |
1251
+ | 1.5068 | 770 | 0.0 | 0.0934 | 0.9042 |
1252
+ | 1.5088 | 771 | 0.0 | - | - |
1253
+ | 1.5108 | 772 | 0.0 | - | - |
1254
+ | 1.5127 | 773 | 0.0 | - | - |
1255
+ | 1.5147 | 774 | 0.0 | - | - |
1256
+ | 1.5166 | 775 | 0.0 | 0.0934 | 0.9042 |
1257
+ | 1.5186 | 776 | 0.0 | - | - |
1258
+ | 1.5205 | 777 | 0.0 | - | - |
1259
+ | 1.5225 | 778 | 0.0 | - | - |
1260
+ | 1.5245 | 779 | 0.0 | - | - |
1261
+ | 1.5264 | 780 | 0.0 | 0.0934 | 0.9042 |
1262
+ | 1.5284 | 781 | 0.0 | - | - |
1263
+ | 1.5303 | 782 | 0.0 | - | - |
1264
+ | 1.5323 | 783 | 0.0 | - | - |
1265
+ | 1.5342 | 784 | 0.0 | - | - |
1266
+ | 1.5362 | 785 | 0.0 | 0.0934 | 0.9042 |
1267
+ | 1.5382 | 786 | 0.0 | - | - |
1268
+ | 1.5401 | 787 | 0.0 | - | - |
1269
+ | 1.5421 | 788 | 0.0 | - | - |
1270
+ | 1.5440 | 789 | 0.0 | - | - |
1271
+ | 1.5460 | 790 | 0.0 | 0.0934 | 0.9042 |
1272
+ | 1.5479 | 791 | 0.0 | - | - |
1273
+ | 1.5499 | 792 | 0.0 | - | - |
1274
+ | 1.5519 | 793 | 0.0 | - | - |
1275
+ | 1.5538 | 794 | 0.0 | - | - |
1276
+ | 1.5558 | 795 | 0.0 | 0.0934 | 0.9042 |
1277
+ | 1.5577 | 796 | 0.0 | - | - |
1278
+ | 1.5597 | 797 | 0.0 | - | - |
1279
+ | 1.5616 | 798 | 0.0 | - | - |
1280
+ | 1.5636 | 799 | 0.0 | - | - |
1281
+ | 1.5656 | 800 | 0.0 | 0.0934 | 0.9042 |
1282
+ | 1.5675 | 801 | 0.0 | - | - |
1283
+ | 1.5695 | 802 | 0.0 | - | - |
1284
+ | 1.5714 | 803 | 0.0 | - | - |
1285
+ | 1.5734 | 804 | 0.0 | - | - |
1286
+ | 1.5753 | 805 | 0.0 | 0.0934 | 0.9042 |
1287
+ | 1.5773 | 806 | 0.0 | - | - |
1288
+ | 1.5793 | 807 | 0.0 | - | - |
1289
+ | 1.5812 | 808 | 0.0 | - | - |
1290
+ | 1.5832 | 809 | 0.0 | - | - |
1291
+ | 1.5851 | 810 | 0.0 | 0.0934 | 0.9042 |
1292
+ | 1.5871 | 811 | 0.0 | - | - |
1293
+ | 1.5890 | 812 | 0.0 | - | - |
1294
+ | 1.5910 | 813 | 0.0 | - | - |
1295
+ | 1.5930 | 814 | 0.0 | - | - |
1296
+ | 1.5949 | 815 | 0.0 | 0.0934 | 0.9042 |
1297
+ | 1.5969 | 816 | 0.0 | - | - |
1298
+ | 1.5988 | 817 | 0.0 | - | - |
1299
+ | 1.6008 | 818 | 0.0 | - | - |
1300
+ | 1.6027 | 819 | 0.0 | - | - |
1301
+ | 1.6047 | 820 | 0.0 | 0.0934 | 0.9042 |
1302
+ | 1.6067 | 821 | 0.0 | - | - |
1303
+ | 1.6086 | 822 | 0.0 | - | - |
1304
+ | 1.6106 | 823 | 0.0 | - | - |
1305
+ | 1.6125 | 824 | 0.0 | - | - |
1306
+
1307
+ </details>
1308
+
1309
+ ### Framework Versions
1310
+ - Python: 3.10.14
1311
+ - Sentence Transformers: 3.0.1
1312
+ - Transformers: 4.44.0
1313
+ - PyTorch: 2.4.0
1314
+ - Accelerate: 0.33.0
1315
+ - Datasets: 2.21.0
1316
+ - Tokenizers: 0.19.1
1317
+
1318
+ ## Citation
1319
+
1320
+ ### BibTeX
1321
+
1322
+ #### Sentence Transformers
1323
+ ```bibtex
1324
+ @inproceedings{reimers-2019-sentence-bert,
1325
+ title = "Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks",
1326
+ author = "Reimers, Nils and Gurevych, Iryna",
1327
+ booktitle = "Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing",
1328
+ month = "11",
1329
+ year = "2019",
1330
+ publisher = "Association for Computational Linguistics",
1331
+ url = "https://arxiv.org/abs/1908.10084",
1332
+ }
1333
+ ```
1334
+
1335
+ <!--
1336
+ ## Glossary
1337
+
1338
+ *Clearly define terms in order to be accessible across audiences.*
1339
+ -->
1340
+
1341
+ <!--
1342
+ ## Model Card Authors
1343
+
1344
+ *Lists the people who create the model card, providing recognition and accountability for the detailed work that goes into its construction.*
1345
+ -->
1346
+
1347
+ <!--
1348
+ ## Model Card Contact
1349
+
1350
+ *Provides a way for people who have updates to the Model Card, suggestions, or questions, to contact the Model Card authors.*
1351
+ -->
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checkpoint-824/config.json ADDED
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+ "architectures": [
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+ ],
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+ "attention_probs_dropout_prob": 0.1,
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+ "hidden_act": "gelu",
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+ "hidden_dropout_prob": 0.1,
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+ "hidden_size": 768,
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+ "initializer_range": 0.02,
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+ "intermediate_size": 3072,
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+ "layer_norm_eps": 1e-07,
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+ "max_position_embeddings": 512,
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+ "max_relative_positions": -1,
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+ "model_type": "deberta-v2",
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+ "norm_rel_ebd": "layer_norm",
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+ "num_attention_heads": 12,
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+ "num_hidden_layers": 6,
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+ "pad_token_id": 0,
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+ "pooler_dropout": 0,
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+ "pooler_hidden_act": "gelu",
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+ "pooler_hidden_size": 768,
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+ "pos_att_type": [
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+ "p2c",
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+ "c2p"
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+ ],
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+ "position_biased_input": false,
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+ "position_buckets": 256,
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+ "relative_attention": true,
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+ "share_att_key": true,
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+ "torch_dtype": "float32",
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+ "transformers_version": "4.44.0",
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+ "type_vocab_size": 0,
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+ "vocab_size": 128100
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+ }
checkpoint-824/config_sentence_transformers.json ADDED
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1
+ {
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+ "__version__": {
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+ "sentence_transformers": "3.0.1",
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+ "transformers": "4.44.0",
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+ "pytorch": "2.4.0"
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+ },
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+ "prompts": {},
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+ "default_prompt_name": null,
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+ "similarity_fn_name": null
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+ }
checkpoint-824/modules.json ADDED
@@ -0,0 +1,14 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ [
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+ {
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+ "idx": 0,
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+ "name": "0",
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+ "path": "",
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+ "type": "sentence_transformers.models.Transformer"
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+ },
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