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Add new SentenceTransformer model

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  1. README.md +362 -450
  2. config.json +1 -1
  3. config_sentence_transformers.json +4 -4
  4. model.safetensors +1 -1
README.md CHANGED
@@ -1,5 +1,123 @@
1
  ---
 
 
 
 
 
 
 
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  base_model: BAAI/bge-small-en-v1.5
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  library_name: sentence-transformers
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  metrics:
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  - cosine_accuracy@1
@@ -18,161 +136,6 @@ metrics:
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  - cosine_mrr@10
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  - cosine_mrr@100
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  - cosine_map@100
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- - dot_accuracy@1
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- - dot_accuracy@5
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- - dot_accuracy@10
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- - dot_precision@1
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- - dot_precision@5
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- - dot_precision@10
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- - dot_recall@1
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- - dot_recall@5
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- - dot_recall@10
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- - dot_ndcg@5
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- - dot_ndcg@10
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- - dot_ndcg@100
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- - dot_mrr@5
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- - dot_mrr@10
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- - dot_mrr@100
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- - dot_map@100
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- pipeline_tag: sentence-similarity
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- tags:
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- - sentence-transformers
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- - sentence-similarity
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- - feature-extraction
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- - generated_from_trainer
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- - dataset_size:563
44
- - loss:GISTEmbedLoss
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- widget:
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- - source_sentence: Can I pay for parking using digital payment methods like UPI, credit/debit
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- cards, or mobile wallets?
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- sentences:
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- - The vibrant colors of autumn leaves create a breathtaking tapestry across the
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- landscape, reminding us of nature's artistry. Many people enjoy taking strolls
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- through parks to appreciate the crisp air and the sound of crunching leaves underfoot.
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- Some choose to photograph the scenery, capturing fleeting moments of beauty, while
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- others might indulge in seasonal treats like pumpkin spice lattes. Embracing the
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- change in seasons also encourages us to reflect on personal growth and the passage
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- of time as we move towards the winter months.
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- - Yes, most parking areas accept digital payment methods such as UPI, credit/debit
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- cards, or mobile wallets to facilitate cashless transactions. However, it is recommended
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- to carry some cash as a backup because digital payments might not always work
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- due to network issues and high crowd density during peak times.
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- - Mahakumbh 2025 will start on 13 January with the Paush Purnima bath and end on
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- 26 February with the Mahashivratri bath.
62
- - source_sentence: What is Aarti
63
- sentences:
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- - No, shuttle buses will not have dedicated volunteers specifically, but for assistance,
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- you can reach out to the nearest information center.
66
- - "In India, since ancient times, rivers are worshipped due to their importance\
67
- \ to the human life. \n\nLikewise, in Tirathraj Prayagraj, Aartis’ are performed\
68
- \ on the banks of Ganga, Yamuna and at Sangam with great admiration, deep-rooted\
69
- \ honor and devotion. In Prayagraj, Prayagraj Mela Authority and various other\
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- \ communities make grand arrangements for these Aartis.\n\nThe Aartis are performed\
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- \ in the mornings and evenings, in which priests (Batuks), normally 5 to 7 in\
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- \ number, chant hymns with great fervor, holding meticulously designed lamps and\
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- \ worship the rivers with utmost devotion. \n\nThe lamps held by the batuks represent\
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- \ the importance of panchtatva. On one hand, flames of the lamps signify bowing\
75
- \ to the waters of the sacred rivers and on the other, the holy fumes emanating\
76
- \ from the lamps appear to play the mystic of heaven on earth."
77
- - 'In the realm of celestial bodies, the moons of Jupiter captivate astronomers
78
- with their striking variations. These natural satellites exhibit a diverse range
79
- of landscapes, from the icy crust of Europa to the volcanic surface of Io, each
80
- revealing secrets about the formation of our solar system.
81
-
82
-
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- In laboratories around the world, researchers utilize advanced telescopes, funded
84
- by international space agencies, to monitor these moons, collecting data that
85
- aids in understanding their geological processes. They examine topographical maps
86
- and analyze spectrographs, revealing rich insights into the chemical compositions
87
- present on these distant worlds.
88
-
89
-
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- Collaborations between scientists and institutions have led to remarkable discoveries,
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- including the potential for subsurface oceans beneath the icy shell of Europa,
92
- stirring excitement about the possibility of extraterrestrial life. Meanwhile,
93
- rumors of missions planned to explore these enigmatic moons intensify interest
94
- in the ongoing quest for knowledge beyond our home planet.'
95
- - source_sentence: Which all companies offer tour services?
96
- sentences:
97
- - There are no specific facilities exclusively for senior citizens at the Railway
98
- Junction in relation to the Mela. However, most railway stations generally offer
99
- basic amenities like wheelchairs, assistance for boarding and de-boarding, and
100
- special seating areas for senior citizens or those with mobility issues. It is
101
- advisable for senior citizens to check with the railway authorities for any additional
102
- support that might be available during the Mela.
103
- - The art of origami has captivated many enthusiasts around the world. Crafting
104
- intricate designs from simple sheets of paper showcases creativity and precision.
105
- Essential tools include sharp scissors, bone folders, and high-quality paper to
106
- achieve the best results. Workshops often focus on advanced techniques, leading
107
- to beautiful decorative pieces and useful items, enhancing the enjoyment of this
108
- timeless craft.
109
- - All information provided here includes tour services provided by UPSTDC (Uttar
110
- Pradesh State Tourism Development Corporation). Additionally, popular platforms
111
- like MakeMyTrip and other travel websites offer their own tour packages for Kumbh
112
- Mela and nearby attractions. For a wider range of options, you can check these
113
- services directly on their websites to find a tour that best suits your needs.
114
- - source_sentence: From when to when is the Mela?
115
- sentences:
116
- - "Mahakumbh Mela 2025 will begin on 13 January with the Paush Purnima bath and\
117
- \ will conclude on 26 February with the Mahashivratri bath.\n \n While every day\
118
- \ during the Mahakumbh is considered auspicious for bathing, the main bathing\
119
- \ festivals are as follows:\n \n 1. Paush Purnima – 13 January\n 2. Makar Sankranti\
120
- \ – 14 January\n 3. Mauni Amavasya – 29 January\n 4. Vasant Panchami – 3 February\n\
121
- \ 5. Maghi Purnima – 12 February\n 6. Mahashivratri – 26 February\n \n Out of\
122
- \ these, three dates are Shahi Snan festivals, when the Akharas and saints proceed\
123
- \ with grand processions for the bath:\n \n 1. Makar Sankranti – 14 January\n\
124
- \ 2. Mauni Amavasya – 29 January\n 3. Vasant Panchami – 3 February"
125
- - 'The sky today is filled with vibrant clouds, where shades of orange and pink
126
- blend seamlessly into vast expanses of blue. The wind carries the sounds of distant
127
- laughter, as children chase each other through sprawling fields of lush green
128
- grass. Nearby, an old oak tree stands tall, its branches swaying gently and offering
129
- shade to those seeking respite from the warmth of the sun.
130
-
131
-
132
- A stream meanders through the landscape, its clear waters reflecting the brilliant
133
- hues of the sky above. Dragonflies dart about, their iridescent wings catching
134
- the light as they flit from flower to flower. In the distance, a family prepares
135
- a picnic, the aroma of freshly baked bread mingling with the sweet scent of blooming
136
- wildflowers.
137
-
138
-
139
- As the afternoon stretches on, the sun begins its slow descent, painting the horizon
140
- in richer tones. The air is filled with a sense of peace and joy, moments warm
141
- with the laughter of friends and the thrill of nature''s beauty all around.'
142
- - No, there is no special bus service specifically for women or families traveling
143
- from the Bus Stand to the Mela. Shuttle buses would be available with fixed timings
144
- and route plans which offer convenient travel
145
- - source_sentence: What is the ritual of Snan or bathing?
146
- sentences:
147
- - Yes, luggage porter services are available at Prayagraj Junction for pilgrims
148
- heading to the Mela. These porters, often referred to as coolies
149
- - 'Taking bath at the confluence of Ganga, Yamuna and invisible Saraswati during
150
- Mahakumbh has special significance. It is believed that by bathing in this holy
151
- confluence, all the sins of a person are washed away and he attains salvation.
152
-
153
-
154
- Bathing not only symbolizes personal purification, but it also conveys the message
155
- of social harmony and unity, where people from different cultures and communities
156
- come together to participate in this sacred ritual.
157
-
158
-
159
- It is considered that in special circumstances, the water of rivers also acquires
160
- a special life-giving quality, i.e. nectar, which not only leads to spiritual
161
- development along with purification of the mind, but also gives physical benefits
162
- by getting health.'
163
- - 'The art of knitting is a fascinating hobby that allows individuals to create
164
- beautiful and functional pieces from yarn. By intertwining strands of wool or
165
- cotton, one can produce items ranging from scarves to intricate sweaters. This
166
- craft has been passed down through generations, often bringing family members
167
- together for cozy evenings filled with creativity and conversation.
168
-
169
-
170
- Knitting not only provides a sense of accomplishment with every completed project
171
- but also promotes focus and relaxation, making it an excellent activity for reducing
172
- stress. Furthermore, the choice of colors and patterns can result in vibrant works
173
- of art, showcasing the unique style and personality of the knitter. Engaging in
174
- this craft often leads to new friendships within community groups that gather
175
- to share techniques and ideas, fostering a sense of belonging among enthusiasts.'
176
  model-index:
177
  - name: SentenceTransformer based on BAAI/bge-small-en-v1.5
178
  results:
@@ -184,101 +147,53 @@ model-index:
184
  type: val_evaluator
185
  metrics:
186
  - type: cosine_accuracy@1
187
- value: 0.8156028368794326
188
  name: Cosine Accuracy@1
189
  - type: cosine_accuracy@5
190
- value: 0.9929078014184397
191
  name: Cosine Accuracy@5
192
  - type: cosine_accuracy@10
193
- value: 1.0
194
  name: Cosine Accuracy@10
195
  - type: cosine_precision@1
196
- value: 0.8156028368794326
197
  name: Cosine Precision@1
198
  - type: cosine_precision@5
199
- value: 0.1985815602836879
200
  name: Cosine Precision@5
201
  - type: cosine_precision@10
202
- value: 0.09999999999999999
203
  name: Cosine Precision@10
204
  - type: cosine_recall@1
205
- value: 0.8156028368794326
206
  name: Cosine Recall@1
207
  - type: cosine_recall@5
208
- value: 0.9929078014184397
209
  name: Cosine Recall@5
210
  - type: cosine_recall@10
211
- value: 1.0
212
  name: Cosine Recall@10
213
  - type: cosine_ndcg@5
214
- value: 0.9154696629317853
215
  name: Cosine Ndcg@5
216
  - type: cosine_ndcg@10
217
- value: 0.9179959550389344
218
  name: Cosine Ndcg@10
219
  - type: cosine_ndcg@100
220
- value: 0.9179959550389344
221
  name: Cosine Ndcg@100
222
  - type: cosine_mrr@5
223
- value: 0.8891252955082741
224
  name: Cosine Mrr@5
225
  - type: cosine_mrr@10
226
- value: 0.8903073286052008
227
  name: Cosine Mrr@10
228
  - type: cosine_mrr@100
229
- value: 0.8903073286052008
230
  name: Cosine Mrr@100
231
  - type: cosine_map@100
232
- value: 0.8903073286052009
233
  name: Cosine Map@100
234
- - type: dot_accuracy@1
235
- value: 0.8156028368794326
236
- name: Dot Accuracy@1
237
- - type: dot_accuracy@5
238
- value: 0.9929078014184397
239
- name: Dot Accuracy@5
240
- - type: dot_accuracy@10
241
- value: 1.0
242
- name: Dot Accuracy@10
243
- - type: dot_precision@1
244
- value: 0.8156028368794326
245
- name: Dot Precision@1
246
- - type: dot_precision@5
247
- value: 0.1985815602836879
248
- name: Dot Precision@5
249
- - type: dot_precision@10
250
- value: 0.09999999999999999
251
- name: Dot Precision@10
252
- - type: dot_recall@1
253
- value: 0.8156028368794326
254
- name: Dot Recall@1
255
- - type: dot_recall@5
256
- value: 0.9929078014184397
257
- name: Dot Recall@5
258
- - type: dot_recall@10
259
- value: 1.0
260
- name: Dot Recall@10
261
- - type: dot_ndcg@5
262
- value: 0.9154696629317853
263
- name: Dot Ndcg@5
264
- - type: dot_ndcg@10
265
- value: 0.9179959550389344
266
- name: Dot Ndcg@10
267
- - type: dot_ndcg@100
268
- value: 0.9179959550389344
269
- name: Dot Ndcg@100
270
- - type: dot_mrr@5
271
- value: 0.8891252955082741
272
- name: Dot Mrr@5
273
- - type: dot_mrr@10
274
- value: 0.8903073286052008
275
- name: Dot Mrr@10
276
- - type: dot_mrr@100
277
- value: 0.8903073286052008
278
- name: Dot Mrr@100
279
- - type: dot_map@100
280
- value: 0.8903073286052009
281
- name: Dot Map@100
282
  ---
283
 
284
  # SentenceTransformer based on BAAI/bge-small-en-v1.5
@@ -291,7 +206,7 @@ This is a [sentence-transformers](https://www.SBERT.net) model finetuned from [B
291
  - **Model Type:** Sentence Transformer
292
  - **Base model:** [BAAI/bge-small-en-v1.5](https://huggingface.co/BAAI/bge-small-en-v1.5) <!-- at revision 5c38ec7c405ec4b44b94cc5a9bb96e735b38267a -->
293
  - **Maximum Sequence Length:** 512 tokens
294
- - **Output Dimensionality:** 384 tokens
295
  - **Similarity Function:** Cosine Similarity
296
  <!-- - **Training Dataset:** Unknown -->
297
  <!-- - **Language:** Unknown -->
@@ -331,9 +246,9 @@ from sentence_transformers import SentenceTransformer
331
  model = SentenceTransformer("himanshu23099/bge_embedding_finetune_v3")
332
  # Run inference
333
  sentences = [
334
- 'What is the ritual of Snan or bathing?',
335
- 'Taking bath at the confluence of Ganga, Yamuna and invisible Saraswati during Mahakumbh has special significance. It is believed that by bathing in this holy confluence, all the sins of a person are washed away and he attains salvation.\n\nBathing not only symbolizes personal purification, but it also conveys the message of social harmony and unity, where people from different cultures and communities come together to participate in this sacred ritual.\n\nIt is considered that in special circumstances, the water of rivers also acquires a special life-giving quality, i.e. nectar, which not only leads to spiritual development along with purification of the mind, but also gives physical benefits by getting health.',
336
- 'The art of knitting is a fascinating hobby that allows individuals to create beautiful and functional pieces from yarn. By intertwining strands of wool or cotton, one can produce items ranging from scarves to intricate sweaters. This craft has been passed down through generations, often bringing family members together for cozy evenings filled with creativity and conversation.\n\nKnitting not only provides a sense of accomplishment with every completed project but also promotes focus and relaxation, making it an excellent activity for reducing stress. Furthermore, the choice of colors and patterns can result in vibrant works of art, showcasing the unique style and personality of the knitter. Engaging in this craft often leads to new friendships within community groups that gather to share techniques and ideas, fostering a sense of belonging among enthusiasts.',
337
  ]
338
  embeddings = model.encode(sentences)
339
  print(embeddings.shape)
@@ -374,43 +289,28 @@ You can finetune this model on your own dataset.
374
  ### Metrics
375
 
376
  #### Information Retrieval
 
377
  * Dataset: `val_evaluator`
378
  * Evaluated with [<code>InformationRetrievalEvaluator</code>](https://sbert.net/docs/package_reference/sentence_transformer/evaluation.html#sentence_transformers.evaluation.InformationRetrievalEvaluator)
379
 
380
  | Metric | Value |
381
  |:--------------------|:-----------|
382
- | cosine_accuracy@1 | 0.8156 |
383
- | cosine_accuracy@5 | 0.9929 |
384
- | cosine_accuracy@10 | 1.0 |
385
- | cosine_precision@1 | 0.8156 |
386
- | cosine_precision@5 | 0.1986 |
387
- | cosine_precision@10 | 0.1 |
388
- | cosine_recall@1 | 0.8156 |
389
- | cosine_recall@5 | 0.9929 |
390
- | cosine_recall@10 | 1.0 |
391
- | cosine_ndcg@5 | 0.9155 |
392
- | cosine_ndcg@10 | 0.918 |
393
- | cosine_ndcg@100 | 0.918 |
394
- | cosine_mrr@5 | 0.8891 |
395
- | cosine_mrr@10 | 0.8903 |
396
- | cosine_mrr@100 | 0.8903 |
397
- | **cosine_map@100** | **0.8903** |
398
- | dot_accuracy@1 | 0.8156 |
399
- | dot_accuracy@5 | 0.9929 |
400
- | dot_accuracy@10 | 1.0 |
401
- | dot_precision@1 | 0.8156 |
402
- | dot_precision@5 | 0.1986 |
403
- | dot_precision@10 | 0.1 |
404
- | dot_recall@1 | 0.8156 |
405
- | dot_recall@5 | 0.9929 |
406
- | dot_recall@10 | 1.0 |
407
- | dot_ndcg@5 | 0.9155 |
408
- | dot_ndcg@10 | 0.918 |
409
- | dot_ndcg@100 | 0.918 |
410
- | dot_mrr@5 | 0.8891 |
411
- | dot_mrr@10 | 0.8903 |
412
- | dot_mrr@100 | 0.8903 |
413
- | dot_map@100 | 0.8903 |
414
 
415
  <!--
416
  ## Bias, Risks and Limitations
@@ -431,19 +331,19 @@ You can finetune this model on your own dataset.
431
  #### Unnamed Dataset
432
 
433
 
434
- * Size: 563 training samples
435
  * Columns: <code>anchor</code>, <code>positive</code>, and <code>negative</code>
436
- * Approximate statistics based on the first 563 samples:
437
- | | anchor | positive | negative |
438
- |:--------|:----------------------------------------------------------------------------------|:-----------------------------------------------------------------------------------|:-------------------------------------------------------------------------------------|
439
- | type | string | string | string |
440
- | details | <ul><li>min: 6 tokens</li><li>mean: 16.33 tokens</li><li>max: 30 tokens</li></ul> | <ul><li>min: 3 tokens</li><li>mean: 93.51 tokens</li><li>max: 402 tokens</li></ul> | <ul><li>min: 16 tokens</li><li>mean: 109.62 tokens</li><li>max: 269 tokens</li></ul> |
441
  * Samples:
442
- | anchor | positive | negative |
443
- |:------------------------------------------------------------------------------------------------------------------------|:------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
444
- | <code>Are there attached bathrooms in tents?</code> | <code>Attached bathroom facilities in tents vary by vendor and tent type. To know more about the availability of attached bathrooms, please reach out to your chosen Tent City vendor. For more information about these vendors and their services, please click here</code> | <code>The colors of the rainbow blend seamlessly across the canvas of the sky, creating a stunning visual display. Enjoying the beauty of nature can greatly enhance one's mood and inspire creativity. Take a moment to appreciate the vibrant hues and how they interact, as this can lead to a greater understanding of art and light. Exploring different forms of expression allows for personal growth and emotional exploration.</code> |
445
- | <code>Are there any discounts for senior citizens or children on buses traveling from the Bus Stand to the Mela?</code> | <code>No, there are no specific discounts available for senior citizens or children on buses traveling from the Bus Stand to the Mela. Standard ticket prices generally apply to all passengers.</code> | <code>The vibrant colors of autumn leaves create a breathtaking scene as they cascade gently to the ground. Local parks become havens for photographers and nature enthusiasts alike, capturing the fleeting beauty of the season. Crisp air invigorates leisurely strolls, while children gather acorns and pinecones, crafting treasures from nature’s bounty.</code> |
446
- | <code>Are there any luggage porter services available at Prayagraj Junction for pilgrims heading to the Mela?</code> | <code>Yes, luggage porter services are available at Prayagraj Junction for pilgrims heading to the Mela. These porters, often referred to as coolies</code> | <code> can be hired directly at the station to assist with carrying luggage from the train platform to your onward transport or directly to the Mela area.</code> |
447
  * Loss: [<code>GISTEmbedLoss</code>](https://sbert.net/docs/package_reference/sentence_transformer/losses.html#gistembedloss) with these parameters:
448
  ```json
449
  {'guide': SentenceTransformer(
@@ -458,19 +358,19 @@ You can finetune this model on your own dataset.
458
  #### Unnamed Dataset
459
 
460
 
461
- * Size: 141 evaluation samples
462
  * Columns: <code>anchor</code>, <code>positive</code>, and <code>negative</code>
463
- * Approximate statistics based on the first 141 samples:
464
- | | anchor | positive | negative |
465
- |:--------|:----------------------------------------------------------------------------------|:-----------------------------------------------------------------------------------|:-------------------------------------------------------------------------------------|
466
- | type | string | string | string |
467
- | details | <ul><li>min: 6 tokens</li><li>mean: 16.05 tokens</li><li>max: 30 tokens</li></ul> | <ul><li>min: 8 tokens</li><li>mean: 88.91 tokens</li><li>max: 324 tokens</li></ul> | <ul><li>min: 27 tokens</li><li>mean: 104.84 tokens</li><li>max: 262 tokens</li></ul> |
468
  * Samples:
469
- | anchor | positive | negative |
470
- |:-------------------------------------------------------------------------------------------------------------------|:------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
471
- | <code>What family-friendly tours are available?</code> | <code>All tours are designed with families in mind, ensuring a safe, comfortable, and enjoyable experience for all age groups. Whether traveling with children or elderly family members, the tours are structured to accommodate the needs of everyone in the group.<br><br>Specific tours for senior citizens are also available. To explore them, click here : https://bit.ly/4eWFRoH</code> | <code>The majestic mountains rise against the azure sky, their peaks adorned with glistening snow that sparkles in the sunlight. deep valleys shelter hidden waterfalls, where crystal-clear waters cascade gracefully over rocks, creating a tranquil sound reverberating through the lush landscape. Wildlife thrives here, and one may spot elusive deer grazing in the early morning mist. As dusk settles, the horizon transforms into a canvas of vibrant hues, painting a breathtaking sunset that captivates the soul. Each season unveils unique beauty, inviting adventurers to explore its wonders.</code> |
472
- | <code>What are the charges for a private taxi or cab from Prayagraj Airport to the Mela grounds?</code> | <code>Private taxi charges are not fixed</code> | <code>The garden blooms vibrantly with colors and fragrances that attract butterflies and bees. Each petal holds a story from the earth, whispering tales of growth and resilience. Nearby, a small pond reflects the blue sky, while frogs leap joyfully on lily pads, creating ripples that dance across the surface. The sound of rustling leaves accompanies the gentle breeze, making nature's symphony a soothing backdrop for all who pause and appreciate this serene setting. As the sun sets, golden hues envelop the scene, inviting evening creatures to awaken under the twilight.</code> |
473
- | <code>What are the options for traveling to the Kumbh Mela if I arrive late at night at Prayagraj Junction?</code> | <code>If you arrive late at night at Prayagraj Junction for the Kumbh Mela, you have majorly 2 options for travel. <br><br>1. Taxi/Cabs: You can easily find 24/7 taxi services outside the railway station. Prepaid taxis are the most convenient and safe option.<br><br>2. Auto Rickshaws:Auto rickshaws are readily available outside the railway station.</code> | <code>The blooming desert blooms with vibrant colors as dusk approaches. Amidst the sands, ancient stories whisper through the wind, recalling journeys of nomads who tread lightly upon the earth. Some dance beneath the starlit skies, celebrating the beauty of freedom and the vastness of their surroundings. The nocturnal creatures awaken, each sound echoing tales of survival and adventure. Beyond the horizon, a tapestry of dreams unfurls, where every grain of sand holds the promise of a new discovery waiting to be unveiled.</code> |
474
  * Loss: [<code>GISTEmbedLoss</code>](https://sbert.net/docs/package_reference/sentence_transformer/losses.html#gistembedloss) with these parameters:
475
  ```json
476
  {'guide': SentenceTransformer(
@@ -488,7 +388,7 @@ You can finetune this model on your own dataset.
488
  - `gradient_accumulation_steps`: 2
489
  - `learning_rate`: 1e-05
490
  - `weight_decay`: 0.01
491
- - `num_train_epochs`: 90
492
  - `warmup_ratio`: 0.1
493
  - `load_best_model_at_end`: True
494
 
@@ -512,7 +412,7 @@ You can finetune this model on your own dataset.
512
  - `adam_beta2`: 0.999
513
  - `adam_epsilon`: 1e-08
514
  - `max_grad_norm`: 1.0
515
- - `num_train_epochs`: 90
516
  - `max_steps`: -1
517
  - `lr_scheduler_type`: linear
518
  - `lr_scheduler_kwargs`: {}
@@ -582,6 +482,7 @@ You can finetune this model on your own dataset.
582
  - `gradient_checkpointing`: False
583
  - `gradient_checkpointing_kwargs`: None
584
  - `include_inputs_for_metrics`: False
 
585
  - `eval_do_concat_batches`: True
586
  - `fp16_backend`: auto
587
  - `push_to_hub_model_id`: None
@@ -603,7 +504,10 @@ You can finetune this model on your own dataset.
603
  - `optim_target_modules`: None
604
  - `batch_eval_metrics`: False
605
  - `eval_on_start`: False
 
606
  - `eval_use_gather_object`: False
 
 
607
  - `batch_sampler`: batch_sampler
608
  - `multi_dataset_batch_sampler`: proportional
609
 
@@ -612,182 +516,190 @@ You can finetune this model on your own dataset.
612
  ### Training Logs
613
  <details><summary>Click to expand</summary>
614
 
615
- | Epoch | Step | Training Loss | Validation Loss | val_evaluator_cosine_map@100 |
616
- |:-----------:|:--------:|:-------------:|:---------------:|:----------------------------:|
617
- | 0.5556 | 10 | 0.9623 | 0.5803 | 0.7676 |
618
- | 1.1111 | 20 | 0.8653 | 0.5278 | 0.7684 |
619
- | 1.6667 | 30 | 0.9346 | 0.4556 | 0.7692 |
620
- | 2.2222 | 40 | 0.8058 | 0.3928 | 0.7687 |
621
- | 2.7778 | 50 | 0.6639 | 0.3282 | 0.7723 |
622
- | 3.3333 | 60 | 0.4974 | 0.2657 | 0.7784 |
623
- | 3.8889 | 70 | 0.4447 | 0.2130 | 0.7877 |
624
- | 4.4444 | 80 | 0.4309 | 0.1753 | 0.7922 |
625
- | 5.0 | 90 | 0.2755 | 0.1320 | 0.7951 |
626
- | 5.5556 | 100 | 0.3105 | 0.0826 | 0.8029 |
627
- | 6.1111 | 110 | 0.1539 | 0.0479 | 0.8106 |
628
- | 6.6667 | 120 | 0.22 | 0.0312 | 0.8141 |
629
- | 7.2222 | 130 | 0.235 | 0.0173 | 0.8245 |
630
- | 7.7778 | 140 | 0.1517 | 0.0119 | 0.8257 |
631
- | 8.3333 | 150 | 0.1328 | 0.0095 | 0.8311 |
632
- | 8.8889 | 160 | 0.1175 | 0.0055 | 0.8319 |
633
- | 9.4444 | 170 | 0.1178 | 0.0037 | 0.8308 |
634
- | 10.0 | 180 | 0.0598 | 0.0034 | 0.8338 |
635
- | 10.5556 | 190 | 0.0958 | 0.0030 | 0.8324 |
636
- | 11.1111 | 200 | 0.0681 | 0.0019 | 0.8331 |
637
- | 11.6667 | 210 | 0.069 | 0.0013 | 0.8406 |
638
- | 12.2222 | 220 | 0.0327 | 0.0009 | 0.8522 |
639
- | 12.7778 | 230 | 0.0833 | 0.0006 | 0.8589 |
640
- | 13.3333 | 240 | 0.0806 | 0.0005 | 0.8596 |
641
- | 13.8889 | 250 | 0.0714 | 0.0004 | 0.8658 |
642
- | 14.4444 | 260 | 0.0813 | 0.0004 | 0.8659 |
643
- | 15.0 | 270 | 0.0512 | 0.0003 | 0.8676 |
644
- | 15.5556 | 280 | 0.043 | 0.0003 | 0.8677 |
645
- | 16.1111 | 290 | 0.0526 | 0.0003 | 0.8677 |
646
- | 16.6667 | 300 | 0.0291 | 0.0002 | 0.8651 |
647
- | 17.2222 | 310 | 0.0487 | 0.0002 | 0.8662 |
648
- | 17.7778 | 320 | 0.054 | 0.0002 | 0.8621 |
649
- | 18.3333 | 330 | 0.067 | 0.0002 | 0.8652 |
650
- | 18.8889 | 340 | 0.0415 | 0.0002 | 0.8652 |
651
- | 19.4444 | 350 | 0.0484 | 0.0002 | 0.8652 |
652
- | 20.0 | 360 | 0.0304 | 0.0002 | 0.8690 |
653
- | 20.5556 | 370 | 0.025 | 0.0002 | 0.8697 |
654
- | 21.1111 | 380 | 0.0549 | 0.0002 | 0.8697 |
655
- | 21.6667 | 390 | 0.0375 | 0.0002 | 0.8736 |
656
- | 22.2222 | 400 | 0.0293 | 0.0002 | 0.8749 |
657
- | 22.7778 | 410 | 0.0558 | 0.0002 | 0.8728 |
658
- | 23.3333 | 420 | 0.0458 | 0.0002 | 0.8730 |
659
- | 23.8889 | 430 | 0.0235 | 0.0002 | 0.8730 |
660
- | 24.4444 | 440 | 0.0515 | 0.0002 | 0.8730 |
661
- | 25.0 | 450 | 0.0337 | 0.0002 | 0.8734 |
662
- | 25.5556 | 460 | 0.0376 | 0.0002 | 0.8734 |
663
- | 26.1111 | 470 | 0.0189 | 0.0003 | 0.8734 |
664
- | 26.6667 | 480 | 0.032 | 0.0002 | 0.8734 |
665
- | 27.2222 | 490 | 0.025 | 0.0002 | 0.8695 |
666
- | 27.7778 | 500 | 0.0258 | 0.0002 | 0.8704 |
667
- | 28.3333 | 510 | 0.0351 | 0.0002 | 0.8681 |
668
- | 28.8889 | 520 | 0.0285 | 0.0002 | 0.8679 |
669
- | 29.4444 | 530 | 0.0263 | 0.0002 | 0.8679 |
670
- | 30.0 | 540 | 0.0901 | 0.0002 | 0.8679 |
671
- | 30.5556 | 550 | 0.0323 | 0.0001 | 0.8686 |
672
- | 31.1111 | 560 | 0.0406 | 0.0001 | 0.8728 |
673
- | 31.6667 | 570 | 0.0302 | 0.0001 | 0.8712 |
674
- | 32.2222 | 580 | 0.0195 | 0.0001 | 0.8718 |
675
- | 32.7778 | 590 | 0.0665 | 0.0001 | 0.8718 |
676
- | 33.3333 | 600 | 0.0153 | 0.0001 | 0.8728 |
677
- | 33.8889 | 610 | 0.0378 | 0.0001 | 0.8728 |
678
- | 34.4444 | 620 | 0.0369 | 0.0001 | 0.8763 |
679
- | 35.0 | 630 | 0.0238 | 0.0001 | 0.8706 |
680
- | 35.5556 | 640 | 0.0275 | 0.0001 | 0.8720 |
681
- | 36.1111 | 650 | 0.0469 | 0.0001 | 0.8708 |
682
- | 36.6667 | 660 | 0.0438 | 0.0001 | 0.8788 |
683
- | 37.2222 | 670 | 0.0333 | 0.0001 | 0.8800 |
684
- | 37.7778 | 680 | 0.0186 | 0.0001 | 0.8765 |
685
- | 38.3333 | 690 | 0.0308 | 0.0001 | 0.8765 |
686
- | 38.8889 | 700 | 0.0713 | 0.0001 | 0.8767 |
687
- | 39.4444 | 710 | 0.0188 | 0.0001 | 0.8767 |
688
- | 40.0 | 720 | 0.0205 | 0.0001 | 0.8767 |
689
- | 40.5556 | 730 | 0.0261 | 0.0001 | 0.8767 |
690
- | 41.1111 | 740 | 0.0193 | 0.0001 | 0.8755 |
691
- | 41.6667 | 750 | 0.0367 | 0.0000 | 0.8755 |
692
- | 42.2222 | 760 | 0.0515 | 0.0000 | 0.8755 |
693
- | 42.7778 | 770 | 0.0649 | 0.0000 | 0.8844 |
694
- | 43.3333 | 780 | 0.0333 | 0.0000 | 0.8879 |
695
- | 43.8889 | 790 | 0.0498 | 0.0000 | 0.8868 |
696
- | 44.4444 | 800 | 0.0324 | 0.0000 | 0.8832 |
697
- | 45.0 | 810 | 0.0321 | 0.0000 | 0.8832 |
698
- | 45.5556 | 820 | 0.0354 | 0.0000 | 0.8832 |
699
- | 46.1111 | 830 | 0.04 | 0.0000 | 0.8868 |
700
- | 46.6667 | 840 | 0.0176 | 0.0000 | 0.8868 |
701
- | 47.2222 | 850 | 0.0297 | 0.0000 | 0.8868 |
702
- | 47.7778 | 860 | 0.0469 | 0.0000 | 0.8868 |
703
- | 48.3333 | 870 | 0.025 | 0.0000 | 0.8868 |
704
- | 48.8889 | 880 | 0.0425 | 0.0000 | 0.8868 |
705
- | 49.4444 | 890 | 0.0475 | 0.0000 | 0.8868 |
706
- | 50.0 | 900 | 0.0529 | 0.0000 | 0.8868 |
707
- | 50.5556 | 910 | 0.0312 | 0.0000 | 0.8868 |
708
- | 51.1111 | 920 | 0.0385 | 0.0000 | 0.8832 |
709
- | 51.6667 | 930 | 0.0316 | 0.0000 | 0.8832 |
710
- | 52.2222 | 940 | 0.0361 | 0.0000 | 0.8832 |
711
- | 52.7778 | 950 | 0.053 | 0.0000 | 0.8832 |
712
- | 53.3333 | 960 | 0.0226 | 0.0000 | 0.8868 |
713
- | 53.8889 | 970 | 0.0781 | 0.0000 | 0.8868 |
714
- | 54.4444 | 980 | 0.03 | 0.0000 | 0.8868 |
715
- | 55.0 | 990 | 0.0349 | 0.0000 | 0.8832 |
716
- | 55.5556 | 1000 | 0.0539 | 0.0000 | 0.8832 |
717
- | 56.1111 | 1010 | 0.0351 | 0.0000 | 0.8832 |
718
- | 56.6667 | 1020 | 0.0506 | 0.0000 | 0.8832 |
719
- | 57.2222 | 1030 | 0.0204 | 0.0000 | 0.8832 |
720
- | 57.7778 | 1040 | 0.0254 | 0.0000 | 0.8844 |
721
- | 58.3333 | 1050 | 0.0274 | 0.0000 | 0.8844 |
722
- | 58.8889 | 1060 | 0.001 | 0.0000 | 0.8844 |
723
- | 59.4444 | 1070 | 0.049 | 0.0000 | 0.8844 |
724
- | 60.0 | 1080 | 0.028 | 0.0000 | 0.8844 |
725
- | 60.5556 | 1090 | 0.0477 | 0.0000 | 0.8844 |
726
- | 61.1111 | 1100 | 0.0304 | 0.0000 | 0.8844 |
727
- | 61.6667 | 1110 | 0.0188 | 0.0000 | 0.8844 |
728
- | 62.2222 | 1120 | 0.0247 | 0.0000 | 0.8879 |
729
- | 62.7778 | 1130 | 0.0428 | 0.0000 | 0.8879 |
730
- | 63.3333 | 1140 | 0.0218 | 0.0000 | 0.8879 |
731
- | 63.8889 | 1150 | 0.0476 | 0.0000 | 0.8868 |
732
- | 64.4444 | 1160 | 0.021 | 0.0000 | 0.8868 |
733
- | 65.0 | 1170 | 0.0435 | 0.0000 | 0.8856 |
734
- | 65.5556 | 1180 | 0.0311 | 0.0000 | 0.8856 |
735
- | 66.1111 | 1190 | 0.0275 | 0.0000 | 0.8856 |
736
- | 66.6667 | 1200 | 0.0405 | 0.0000 | 0.8891 |
737
- | 67.2222 | 1210 | 0.0009 | 0.0000 | 0.8891 |
738
- | 67.7778 | 1220 | 0.0506 | 0.0000 | 0.8891 |
739
- | 68.3333 | 1230 | 0.0538 | 0.0000 | 0.8891 |
740
- | 68.8889 | 1240 | 0.0251 | 0.0000 | 0.8891 |
741
- | 69.4444 | 1250 | 0.0168 | 0.0000 | 0.8891 |
742
- | 70.0 | 1260 | 0.0527 | 0.0000 | 0.8903 |
743
- | 70.5556 | 1270 | 0.0491 | 0.0000 | 0.8903 |
744
- | 71.1111 | 1280 | 0.0092 | 0.0000 | 0.8903 |
745
- | 71.6667 | 1290 | 0.0257 | 0.0000 | 0.8903 |
746
- | **72.2222** | **1300** | **0.0455** | **0.0** | **0.8903** |
747
- | 72.7778 | 1310 | 0.0271 | 0.0000 | 0.8903 |
748
- | 73.3333 | 1320 | 0.04 | 0.0000 | 0.8903 |
749
- | 73.8889 | 1330 | 0.0171 | 0.0000 | 0.8903 |
750
- | 74.4444 | 1340 | 0.0157 | 0.0000 | 0.8903 |
751
- | 75.0 | 1350 | 0.0323 | 0.0000 | 0.8903 |
752
- | 75.5556 | 1360 | 0.0372 | 0.0000 | 0.8903 |
753
- | 76.1111 | 1370 | 0.0109 | 0.0000 | 0.8903 |
754
- | 76.6667 | 1380 | 0.0358 | 0.0000 | 0.8903 |
755
- | 77.2222 | 1390 | 0.0279 | 0.0000 | 0.8903 |
756
- | 77.7778 | 1400 | 0.0173 | 0.0000 | 0.8903 |
757
- | 78.3333 | 1410 | 0.0409 | 0.0000 | 0.8903 |
758
- | 78.8889 | 1420 | 0.0139 | 0.0000 | 0.8903 |
759
- | 79.4444 | 1430 | 0.0123 | 0.0000 | 0.8903 |
760
- | 80.0 | 1440 | 0.0232 | 0.0000 | 0.8903 |
761
- | 80.5556 | 1450 | 0.0145 | 0.0000 | 0.8903 |
762
- | 81.1111 | 1460 | 0.0261 | 0.0000 | 0.8903 |
763
- | 81.6667 | 1470 | 0.0137 | 0.0000 | 0.8903 |
764
- | 82.2222 | 1480 | 0.0146 | 0.0000 | 0.8903 |
765
- | 82.7778 | 1490 | 0.0096 | 0.0000 | 0.8903 |
766
- | 83.3333 | 1500 | 0.0245 | 0.0000 | 0.8903 |
767
- | 83.8889 | 1510 | 0.0312 | 0.0000 | 0.8903 |
768
- | 84.4444 | 1520 | 0.0174 | 0.0000 | 0.8903 |
769
- | 85.0 | 1530 | 0.0437 | 0.0000 | 0.8903 |
770
- | 85.5556 | 1540 | 0.0301 | 0.0000 | 0.8903 |
771
- | 86.1111 | 1550 | 0.0119 | 0.0000 | 0.8903 |
772
- | 86.6667 | 1560 | 0.0554 | 0.0000 | 0.8903 |
773
- | 87.2222 | 1570 | 0.021 | 0.0000 | 0.8903 |
774
- | 87.7778 | 1580 | 0.029 | 0.0000 | 0.8903 |
775
- | 88.3333 | 1590 | 0.0132 | 0.0000 | 0.8903 |
776
- | 88.8889 | 1600 | 0.0339 | 0.0000 | 0.8903 |
777
- | 89.4444 | 1610 | 0.0412 | 0.0000 | 0.8903 |
778
- | 90.0 | 1620 | 0.0847 | 0.0000 | 0.8903 |
779
-
780
- * The bold row denotes the saved checkpoint.
 
 
 
 
 
 
 
 
781
  </details>
782
 
783
  ### Framework Versions
784
  - Python: 3.10.12
785
- - Sentence Transformers: 3.2.1
786
- - Transformers: 4.44.2
787
- - PyTorch: 2.5.0+cu121
788
- - Accelerate: 0.34.2
789
  - Datasets: 3.1.0
790
- - Tokenizers: 0.19.1
791
 
792
  ## Citation
793
 
 
1
  ---
2
+ tags:
3
+ - sentence-transformers
4
+ - sentence-similarity
5
+ - feature-extraction
6
+ - generated_from_trainer
7
+ - dataset_size:3507
8
+ - loss:GISTEmbedLoss
9
  base_model: BAAI/bge-small-en-v1.5
10
+ widget:
11
+ - source_sentence: What skills and traditions do the Akharas display?
12
+ sentences:
13
+ - "Are there specific vendors recommended for tent city booking?\n Yes, there are\
14
+ \ 7 approved vendors for setting up bookings in the Tent City for Kumbh Mela including\
15
+ \ : UP Tourism Tent Colony; Rishikul Kumbh Cottages; Aagman Maha Kumbh; Kumbh\
16
+ \ Village; Kumbh Camp India; Shivadya Kumbh Canvas. For more information about\
17
+ \ these vendors and their services, please click here"
18
+ - The Akharas display a wide range of skills and traditions that reflect their deep
19
+ spiritual heritage and ascetic practices. These include martial arts training,
20
+ such as wrestling, sword fighting, and the use of traditional weapons like tridents
21
+ (trishuls), maces (gada), and spears. Such skills symbolize their readiness to
22
+ protect Dharma and their spiritual communities. Additionally, Akharas emphasize
23
+ the tradition of Yoga and meditation, teaching various asanas and techniques for
24
+ self-discipline and spiritual growth. They also focus on Vedic rituals, chanting,
25
+ and sacred ceremonies to maintain their connection with the divine. Akharas uphold
26
+ the practice of 'Vairagya' or renunciation, where sadhus detach from worldly desires
27
+ to pursue a path of spiritual enlightenment. These traditions are on full display
28
+ during the Kumbh Mela, especially during the Shahi Snan, where the Naga Sadhus
29
+ lead the processions with their unique practices and skills.
30
+ - On a bright summer afternoon, the children gathered at the edge of the park, their
31
+ laughter echoing through the trees. They played games, running around with colorful
32
+ kites soaring high against the azure sky. Some kids chose to ride their bicycles
33
+ along the winding paths, while others set up a picnic with sandwiches and juice
34
+ boxes spread out on a checkered blanket. Nearby, a couple of dogs chased each
35
+ other joyfully, their tails wagging with uncontainable excitement as the scent
36
+ of fresh grass filled the air. The sun slowly dipped toward the horizon, casting
37
+ a warm golden glow, and everyone paused to watch the beauty of the sunset while
38
+ sharing stories, bonding over the simple joys of life. The day shimmered with
39
+ happiness, creating memories that would last long after the sun had set.
40
+ - source_sentence: Refund kab milega
41
+ sentences:
42
+ - "How late can I make changes to my booking before the tour date?\n Refunds and\
43
+ \ changes to bookings are subject to the following cancellation policy:\n \n 15\
44
+ \ days or more in advance: 90% of the booking amount will be refunded\n 10-15\
45
+ \ days in advance: 75% of the booking amount will be refunded\n 3-10 days in advance:\
46
+ \ 50% of the booking amount will be refunded\n Less than 3 days in advance: No\
47
+ \ refund\n \n Please make any changes or cancellations well in advance to avoid\
48
+ \ forfeiting your booking amount."
49
+ - "Is there any provision for women-only E-Rickshaws for added safety and comfort?\n\
50
+ \ No, there is no provision for women-only E-Rickshaws"
51
+ - 'Can I pay for the tour in installments?
52
+
53
+ No, the tour fee must be paid in full at the time of booking. Unfortunately, installment
54
+ plans are not available. Ensure that full payment is made to secure your booking
55
+ well in advance.'
56
+ - source_sentence: Are there any dedicated helpdesks or kiosks at the Airport for
57
+ information about transport to the Mela?
58
+ sentences:
59
+ - The forest is alive with the sounds of rustling leaves and chirping birds. As
60
+ the sun rises, a golden light filters through the trees, creating a magical atmosphere.
61
+ Walkers often find solace in nature, where the peaceful surroundings can soothe
62
+ the mind and inspire creativity. Each path taken may lead to a hidden waterfall
63
+ or a scenic overlook, inviting exploration and adventure.
64
+ - "What is Aarti\n In India, since ancient times, rivers are worshipped due to their\
65
+ \ importance to the human life. \n \n Likewise, in Tirathraj Prayagraj, Aartis’\
66
+ \ are performed on the banks of Ganga, Yamuna and at Sangam with great admiration,\
67
+ \ deep-rooted honor and devotion. In Prayagraj, Prayagraj Mela Authority and various\
68
+ \ other communities make grand arrangements for these Aartis.\n \n The Aartis\
69
+ \ are performed in the mornings and evenings, in which priests (Batuks), normally\
70
+ \ 5 to 7 in number, chant hymns with great fervor, holding meticulously designed\
71
+ \ lamps and worship the rivers with utmost devotion. \n \n The lamps held by the\
72
+ \ batuks represent the importance of panchtatva. On one hand, flames of the lamps\
73
+ \ signify bowing to the waters of the sacred rivers and on the other, the holy\
74
+ \ fumes emanating from the lamps appear to play the mystic of heaven on earth.\
75
+ \ \n List of Aliases: [['Prayag', 'Sangam'], ['Allahabad', 'PYG', 'Prayagraj'],\
76
+ \ ['Batuks', 'priests']]"
77
+ - Yes, there are people available to help you with transport information at the
78
+ airport. Tourist information centers would also be available across the city to
79
+ guide pilgrims to the Mela.
80
+ - source_sentence: Peeshwai Akhara time
81
+ sentences:
82
+ - "What is the connection between Akharas and Shahi Snan?\nAkharas are the central\
83
+ \ focus of the Shahi Snan during the Mahakumbh Mela. \U0001F549️\n \n The Akharas\
84
+ \ lead this ritual bath, with their Mahamandaleshwar taking the first dip in the\
85
+ \ sacred waters of the Sangam.\n \n The Akharas enter the bathing ghats in a grand\
86
+ \ procession, which includes chariots, elephants, horses, bands, and chanting\
87
+ \ saints and their followers."
88
+ - "When does Peshwai take place?\n The Peshwai of the Akharas is the first major\
89
+ \ attraction of the Mahakumbh. When the Akharas enter the Kumbh city with full\
90
+ \ grandeur, this is called the Peshwai. The Peshwai of each Akhara is conducted\
91
+ \ with proper rituals before the fair officially begins. \n List of Aliases:\
92
+ \ [['Peshwai', 'entry of Akharas with full grandeur', 'event', 'first major attraction\
93
+ \ of the Mahakumbh'], ['Akhada Darshan', 'Akharas'], , ['Akhand', 'Akhara', 'Kalpwasi\
94
+ \ Camp', 'Naga', 'Nagas', 'Sadhu', 'sadhus']]"
95
+ - Yes, towing services are available if your vehicle breaks down in the parking
96
+ lot.
97
+ - source_sentence: How long does it typically take to enter or exit the parking area
98
+ during peak times?
99
+ sentences:
100
+ - In a remote village, the annual kite festival attracts many visitors who come
101
+ to see the vibrant displays. The event showcases dozens of kites soaring high,
102
+ each crafted with unique designs. Local artisans prepare for months, selecting
103
+ colors and materials to make the best creations. Everyone enjoys the lively atmosphere
104
+ filled with music and laughter.
105
+ - 'What is the history and significance of the University of Allahabad?
106
+
107
+ Established in 1887, University of Allahabad is a prestigious educational institution.
108
+ It has a grand campus with prominent architectural structures:
109
+
110
+ The Science Faculty, formerly known as Muir Central College, is a notable building
111
+ showcasing Indo-Saracenic architecture. The structure includes a central 200 ft.
112
+ tower, and the interiors are adorned with marble and mosaic from Mirzapur.
113
+
114
+ The Arts Faculty and other buildings, constructed between 1910 and 1915, are renowned
115
+ for their architectural significance. It’s also historically significant as Rudyard
116
+ Kipling stayed here during 1888-89.'
117
+ - The time to enter or exit the parking area during peak times can vary based on
118
+ crowd density, time of day, and traffic management. Generally, it takes about
119
+ 2 to 10 minutes.
120
+ pipeline_tag: sentence-similarity
121
  library_name: sentence-transformers
122
  metrics:
123
  - cosine_accuracy@1
 
136
  - cosine_mrr@10
137
  - cosine_mrr@100
138
  - cosine_map@100
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
139
  model-index:
140
  - name: SentenceTransformer based on BAAI/bge-small-en-v1.5
141
  results:
 
147
  type: val_evaluator
148
  metrics:
149
  - type: cosine_accuracy@1
150
+ value: 0.3443557582668187
151
  name: Cosine Accuracy@1
152
  - type: cosine_accuracy@5
153
+ value: 0.7229190421892816
154
  name: Cosine Accuracy@5
155
  - type: cosine_accuracy@10
156
+ value: 0.8038768529076397
157
  name: Cosine Accuracy@10
158
  - type: cosine_precision@1
159
+ value: 0.3443557582668187
160
  name: Cosine Precision@1
161
  - type: cosine_precision@5
162
+ value: 0.14458380843785631
163
  name: Cosine Precision@5
164
  - type: cosine_precision@10
165
+ value: 0.08038768529076395
166
  name: Cosine Precision@10
167
  - type: cosine_recall@1
168
+ value: 0.3443557582668187
169
  name: Cosine Recall@1
170
  - type: cosine_recall@5
171
+ value: 0.7229190421892816
172
  name: Cosine Recall@5
173
  - type: cosine_recall@10
174
+ value: 0.8038768529076397
175
  name: Cosine Recall@10
176
  - type: cosine_ndcg@5
177
+ value: 0.5504290811876199
178
  name: Cosine Ndcg@5
179
  - type: cosine_ndcg@10
180
+ value: 0.5765613499697346
181
  name: Cosine Ndcg@10
182
  - type: cosine_ndcg@100
183
+ value: 0.614171229811746
184
  name: Cosine Ndcg@100
185
  - type: cosine_mrr@5
186
+ value: 0.4926263778031162
187
  name: Cosine Mrr@5
188
  - type: cosine_mrr@10
189
+ value: 0.5033795768402376
190
  name: Cosine Mrr@10
191
  - type: cosine_mrr@100
192
+ value: 0.5113051664568566
193
  name: Cosine Mrr@100
194
  - type: cosine_map@100
195
+ value: 0.5113051664568576
196
  name: Cosine Map@100
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
197
  ---
198
 
199
  # SentenceTransformer based on BAAI/bge-small-en-v1.5
 
206
  - **Model Type:** Sentence Transformer
207
  - **Base model:** [BAAI/bge-small-en-v1.5](https://huggingface.co/BAAI/bge-small-en-v1.5) <!-- at revision 5c38ec7c405ec4b44b94cc5a9bb96e735b38267a -->
208
  - **Maximum Sequence Length:** 512 tokens
209
+ - **Output Dimensionality:** 384 dimensions
210
  - **Similarity Function:** Cosine Similarity
211
  <!-- - **Training Dataset:** Unknown -->
212
  <!-- - **Language:** Unknown -->
 
246
  model = SentenceTransformer("himanshu23099/bge_embedding_finetune_v3")
247
  # Run inference
248
  sentences = [
249
+ 'How long does it typically take to enter or exit the parking area during peak times?',
250
+ 'The time to enter or exit the parking area during peak times can vary based on crowd density, time of day, and traffic management. Generally, it takes about 2 to 10 minutes.',
251
+ 'In a remote village, the annual kite festival attracts many visitors who come to see the vibrant displays. The event showcases dozens of kites soaring high, each crafted with unique designs. Local artisans prepare for months, selecting colors and materials to make the best creations. Everyone enjoys the lively atmosphere filled with music and laughter.',
252
  ]
253
  embeddings = model.encode(sentences)
254
  print(embeddings.shape)
 
289
  ### Metrics
290
 
291
  #### Information Retrieval
292
+
293
  * Dataset: `val_evaluator`
294
  * Evaluated with [<code>InformationRetrievalEvaluator</code>](https://sbert.net/docs/package_reference/sentence_transformer/evaluation.html#sentence_transformers.evaluation.InformationRetrievalEvaluator)
295
 
296
  | Metric | Value |
297
  |:--------------------|:-----------|
298
+ | cosine_accuracy@1 | 0.3444 |
299
+ | cosine_accuracy@5 | 0.7229 |
300
+ | cosine_accuracy@10 | 0.8039 |
301
+ | cosine_precision@1 | 0.3444 |
302
+ | cosine_precision@5 | 0.1446 |
303
+ | cosine_precision@10 | 0.0804 |
304
+ | cosine_recall@1 | 0.3444 |
305
+ | cosine_recall@5 | 0.7229 |
306
+ | cosine_recall@10 | 0.8039 |
307
+ | cosine_ndcg@5 | 0.5504 |
308
+ | cosine_ndcg@10 | 0.5766 |
309
+ | **cosine_ndcg@100** | **0.6142** |
310
+ | cosine_mrr@5 | 0.4926 |
311
+ | cosine_mrr@10 | 0.5034 |
312
+ | cosine_mrr@100 | 0.5113 |
313
+ | cosine_map@100 | 0.5113 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
314
 
315
  <!--
316
  ## Bias, Risks and Limitations
 
331
  #### Unnamed Dataset
332
 
333
 
334
+ * Size: 3,507 training samples
335
  * Columns: <code>anchor</code>, <code>positive</code>, and <code>negative</code>
336
+ * Approximate statistics based on the first 1000 samples:
337
+ | | anchor | positive | negative |
338
+ |:--------|:----------------------------------------------------------------------------------|:------------------------------------------------------------------------------------|:-------------------------------------------------------------------------------------|
339
+ | type | string | string | string |
340
+ | details | <ul><li>min: 5 tokens</li><li>mean: 12.02 tokens</li><li>max: 32 tokens</li></ul> | <ul><li>min: 3 tokens</li><li>mean: 117.69 tokens</li><li>max: 504 tokens</li></ul> | <ul><li>min: 15 tokens</li><li>mean: 119.62 tokens</li><li>max: 422 tokens</li></ul> |
341
  * Samples:
342
+ | anchor | positive | negative |
343
+ |:-------------------------------------------------------------------|:---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
344
+ | <code>Tour departs how city</code> | <code>What is the itinerary for 1-day Maihar tour?<br> Maihar tour departs from Hotel Ilawart, Prayagraj at 7:00 AM and includes visit to Maa Sharda Devi Temple located atop Trikoota Hill. For more details and booking, click here: https://bit.ly/3YBcbI6 <br> List of Aliases: [['Allahabad', 'PYG', 'Prayagraj']]</code> | <code>What one-day outstation tours are available from Prayagraj?<br>The one-day outstation tours from Prayagraj include destinations such as Ayodhya, Varanasi, Maihar, and Chitrakoot. These tours offer a quick yet enriching journey to some of the most significant spiritual and cultural sites near Prayagraj.<br><br>For more details, visit : https://bit.ly/4eWFRoH</code> |
345
+ | <code>How train for Prayag reach</code> | <code>Which airlines operate flights to Prayagraj?<br> Several airlines operate flights to Prayagraj, India. However, availability may depend on your location and the time of travel. Some of the airlines that typically operate flights to Prayagraj include:<br> <br> 1. Air India<br> 2. IndiGo<br> 3. SpiceJet<br> <br> For the most accurate and up-to-date information on train timings to Prayagraj, please visit the IRCTC website <https://www.irctc.co.in/nget/> <br> List of Aliases: [['Allahabad', 'PYG', 'Prayagraj']]</code> | <code>What is the best train route to Prayagraj from Ayodhya?<br>To travel by train from Ayodhya to Prayagraj, you can use the Indian Railways' services. Here is a general guide for the route:<br><br>1. Ayodhya Cantt (AY) to Prayagraj Junction (PRYJ) via Train No. 14203: This is one of the direct trains to Prayagraj from Ayodhya. It generally runs on Tuesday and Friday.<br><br>2. Ayodhya Cantt (AY) to Prayagraj Rambag (PRRB) via Train No. 14205: This train runs regularly and is another direct route to Prayagraj.<br><br>For the most accurate and up-to-date information on train timings to Prayagraj, please visit the IRCTC website <https://www.irctc.co.in/nget/></code> |
346
+ | <code>Why should one do the Prayagraj Panchkoshi Parikrama?</code> | <code>The Prayagraj Panchkoshi Parikrama is a deeply revered spiritual journey that offers multiple benefits to devotees. It is believed to grant blessings equivalent to visiting all sacred pilgrimage sites in India, providing divine grace and spiritual merit. The Parikrama route covers significant temples like the Dwadash Madhav temples, Akshayavat, and Mankameshwar, which are steeped in Hindu mythology and history, allowing pilgrims to connect with the spiritual and cultural heritage of Prayagraj. This circumambulation around sacred sites is also seen as a way to cleanse one's sins and progress towards Moksha (liberation from the cycle of birth and rebirth), making it a path of introspection and spiritual growth. The pilgrimage fosters unity among people from diverse backgrounds, offering a unique cultural exchange and shared spiritual experience. By participating, devotees also help revive an ancient tradition integral to the Kumbh Mela for centuries, reconnecting with age-old practices t...</code> | <code>Elevators are remarkable inventions that revolutionized how we navigate tall buildings. They provide a swift, efficient means of transportation between floors, making urban life more accessible. These mechanical wonders operate on a system of pulleys and counterweights, enabling them to carry heavy loads effortlessly. Safety features like emergency brakes and backup power systems ensure that passengers remain secure during their journey. Various designs and styles can be seen in buildings around the world, from sleek modern glass models to vintage models that evoke nostalgia. Elevators also highlight the advancement of engineering and technology over time, evolving from rudimentary designs to sophisticated machines with smart technology. They are essential in various settings, including residential, commercial, and industrial spaces, offering convenience and practicality. Their presence also allows for the efficient use of vertical space, fostering creativity in architectural designs a...</code> |
347
  * Loss: [<code>GISTEmbedLoss</code>](https://sbert.net/docs/package_reference/sentence_transformer/losses.html#gistembedloss) with these parameters:
348
  ```json
349
  {'guide': SentenceTransformer(
 
358
  #### Unnamed Dataset
359
 
360
 
361
+ * Size: 877 evaluation samples
362
  * Columns: <code>anchor</code>, <code>positive</code>, and <code>negative</code>
363
+ * Approximate statistics based on the first 877 samples:
364
+ | | anchor | positive | negative |
365
+ |:--------|:----------------------------------------------------------------------------------|:------------------------------------------------------------------------------------|:------------------------------------------------------------------------------------|
366
+ | type | string | string | string |
367
+ | details | <ul><li>min: 4 tokens</li><li>mean: 12.13 tokens</li><li>max: 32 tokens</li></ul> | <ul><li>min: 3 tokens</li><li>mean: 117.82 tokens</li><li>max: 504 tokens</li></ul> | <ul><li>min: 8 tokens</li><li>mean: 117.68 tokens</li><li>max: 422 tokens</li></ul> |
368
  * Samples:
369
+ | anchor | positive | negative |
370
+ |:-------------------------------------------------------------------------------------------------------|:---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
371
+ | <code>Akhara means what</code> | <code>Is the word Akhara related to Akhand?<br> Many scholars believe that the word 'Akhara' originated from the word 'Akhand.' Initially, a group of armed ascetics was referred to as 'Akhand.' Over time, when these 'Akhand' groups evolved into centers for training in weaponry and martial arts, they came to be known as 'Akhara.' <br> List of Aliases: [['Akhand', 'Akhara', 'Kalpwasi Camp', 'Naga', 'Nagas', 'Sadhu', 'sadhus']]</code> | <code>Why did Adi Shankaracharya organize the Akharas?<br>According to the evidence available in the Akharas and the descriptions mentioned in their history, centuries ago, Adi Shankaracharya established these Akharas with the purpose of protecting Hindu temples and monasteries from foreign and non-believer invaders, as well as safeguarding the followers of Hinduism.<br> <br> Adi Shankaracharya believed that young saints should not only be proficient in scriptures (Shastra) but also in the art of weaponry (Shastra), so they could fulfill the duty of protecting the monasteries, temples, and their followers when necessary.</code> |
372
+ | <code>Why do so many people gather for this?</code> | <code>Millions gather for the Kumbh Mela due to its profound spiritual, cultural, and social significance. Rooted in ancient Hindu mythology, the Mela is believed to be an auspicious time when bathing in the sacred rivers—Ganga, Yamuna, and Saraswati—can cleanse sins and lead to spiritual liberation (Moksha). The event, occurring during rare celestial alignments, amplifies these spiritual benefits. It is a unique confluence of faith, where people from diverse backgrounds come together, creating a “mini-India” that fosters unity in diversity. \n The Mela also offers opportunities for spiritual learning through discourses by saints, religious rituals like Kalpvas, Deep Daan, and cultural performances. Moreover, the Kumbh Mela is a rare platform for connecting with spiritual leaders, experiencing religious tolerance, and participating in one of the world's largest peaceful gatherings, making it a must-attend event for millions seeking spiritual growth, community, and divine blessings.</code> | <code>In the bustling world of urban development, architects and city planners often seek innovative solutions to optimize living spaces. The integration of green spaces within urban environments not only enhances aesthetic appeal but also significantly improves residents' quality of life. Vertical gardens, rooftops, and community parks play a crucial role in providing habitats for local wildlife while promoting biodiversity in densely populated areas. <br><br>Furthermore, advancements in sustainable technology, such as solar panels and rainwater harvesting systems, are being incorporated into these designs, offering environmentally friendly alternatives that reduce utility costs for residents. Public art installations also contribute to community identity, fostering a sense of belonging among citizens. <br><br>Collaborative efforts between various stakeholders—governments, private sectors, and local communities—are essential to ensure these projects reflect the needs and desires of the people. The succ...</code> |
373
+ | <code>Do parking charges vary between different parking zones or proximity to the Mela grounds?</code> | <code>No, the parking charges are standardized and remain the same throughout, regardless of the parking zone or proximity to the Mela grounds. Charges are fixed at ₹5 for cycles, ₹15 for two-wheelers, ₹65 for 3-4 wheelers, and ₹260 for buses and heavy vehicles for 24 hours.</code> | <code>The ancient art of pottery involves molding clay into various shapes before firing it in a kiln. Traditionally, artisans use hand tools and techniques passed down through generations. Each region often has its own distinctive styles, resulting in a rich diversity of forms, glazes, and colors. Pottery can serve practical purposes, such as in cooking and storage, while also being a medium for artistic expression and cultural storytelling.</code> |
374
  * Loss: [<code>GISTEmbedLoss</code>](https://sbert.net/docs/package_reference/sentence_transformer/losses.html#gistembedloss) with these parameters:
375
  ```json
376
  {'guide': SentenceTransformer(
 
388
  - `gradient_accumulation_steps`: 2
389
  - `learning_rate`: 1e-05
390
  - `weight_decay`: 0.01
391
+ - `num_train_epochs`: 30
392
  - `warmup_ratio`: 0.1
393
  - `load_best_model_at_end`: True
394
 
 
412
  - `adam_beta2`: 0.999
413
  - `adam_epsilon`: 1e-08
414
  - `max_grad_norm`: 1.0
415
+ - `num_train_epochs`: 30
416
  - `max_steps`: -1
417
  - `lr_scheduler_type`: linear
418
  - `lr_scheduler_kwargs`: {}
 
482
  - `gradient_checkpointing`: False
483
  - `gradient_checkpointing_kwargs`: None
484
  - `include_inputs_for_metrics`: False
485
+ - `include_for_metrics`: []
486
  - `eval_do_concat_batches`: True
487
  - `fp16_backend`: auto
488
  - `push_to_hub_model_id`: None
 
504
  - `optim_target_modules`: None
505
  - `batch_eval_metrics`: False
506
  - `eval_on_start`: False
507
+ - `use_liger_kernel`: False
508
  - `eval_use_gather_object`: False
509
+ - `average_tokens_across_devices`: False
510
+ - `prompts`: None
511
  - `batch_sampler`: batch_sampler
512
  - `multi_dataset_batch_sampler`: proportional
513
 
 
516
  ### Training Logs
517
  <details><summary>Click to expand</summary>
518
 
519
+ | Epoch | Step | Training Loss | Validation Loss | val_evaluator_cosine_ndcg@100 |
520
+ |:-------:|:----:|:-------------:|:---------------:|:-----------------------------:|
521
+ | 0.0909 | 10 | 1.9717 | 1.2192 | 0.4285 |
522
+ | 0.1818 | 20 | 1.8228 | 1.1896 | 0.4307 |
523
+ | 0.2727 | 30 | 1.9999 | 1.1429 | 0.4310 |
524
+ | 0.3636 | 40 | 1.6463 | 1.0845 | 0.4311 |
525
+ | 0.4545 | 50 | 1.9207 | 1.0205 | 0.4334 |
526
+ | 0.5455 | 60 | 1.5777 | 0.9509 | 0.4338 |
527
+ | 0.6364 | 70 | 1.4277 | 0.8810 | 0.4376 |
528
+ | 0.7273 | 80 | 1.408 | 0.8130 | 0.4432 |
529
+ | 0.8182 | 90 | 1.3565 | 0.7535 | 0.4436 |
530
+ | 0.9091 | 100 | 1.3322 | 0.6935 | 0.4495 |
531
+ | 1.0 | 110 | 0.8344 | 0.6420 | 0.4518 |
532
+ | 1.0909 | 120 | 1.1696 | 0.5956 | 0.4515 |
533
+ | 1.1818 | 130 | 0.9622 | 0.5524 | 0.4565 |
534
+ | 1.2727 | 140 | 0.9005 | 0.5173 | 0.4616 |
535
+ | 1.3636 | 150 | 0.962 | 0.4802 | 0.4662 |
536
+ | 1.4545 | 160 | 0.7924 | 0.4497 | 0.4693 |
537
+ | 1.5455 | 170 | 0.8955 | 0.4262 | 0.4711 |
538
+ | 1.6364 | 180 | 0.7652 | 0.4031 | 0.4736 |
539
+ | 1.7273 | 190 | 0.7517 | 0.3804 | 0.4773 |
540
+ | 1.8182 | 200 | 0.5669 | 0.3636 | 0.4784 |
541
+ | 1.9091 | 210 | 0.6641 | 0.3469 | 0.4813 |
542
+ | 2.0 | 220 | 0.5227 | 0.3267 | 0.4820 |
543
+ | 2.0909 | 230 | 0.6146 | 0.3075 | 0.4843 |
544
+ | 2.1818 | 240 | 0.4709 | 0.2908 | 0.4882 |
545
+ | 2.2727 | 250 | 0.5963 | 0.2780 | 0.4955 |
546
+ | 2.3636 | 260 | 0.5103 | 0.2668 | 0.4977 |
547
+ | 2.4545 | 270 | 0.4833 | 0.2566 | 0.5027 |
548
+ | 2.5455 | 280 | 0.4389 | 0.2431 | 0.5045 |
549
+ | 2.6364 | 290 | 0.4653 | 0.2317 | 0.5059 |
550
+ | 2.7273 | 300 | 0.3559 | 0.2263 | 0.5086 |
551
+ | 2.8182 | 310 | 0.4623 | 0.2197 | 0.5127 |
552
+ | 2.9091 | 320 | 0.3889 | 0.2103 | 0.5183 |
553
+ | 3.0 | 330 | 0.4014 | 0.2037 | 0.5206 |
554
+ | 3.0909 | 340 | 0.2977 | 0.1999 | 0.5228 |
555
+ | 3.1818 | 350 | 0.4656 | 0.1956 | 0.5266 |
556
+ | 3.2727 | 360 | 0.436 | 0.1873 | 0.5288 |
557
+ | 3.3636 | 370 | 0.3111 | 0.1803 | 0.5311 |
558
+ | 3.4545 | 380 | 0.333 | 0.1759 | 0.5325 |
559
+ | 3.5455 | 390 | 0.2899 | 0.1717 | 0.5381 |
560
+ | 3.6364 | 400 | 0.4245 | 0.1663 | 0.5419 |
561
+ | 3.7273 | 410 | 0.4247 | 0.1658 | 0.5421 |
562
+ | 3.8182 | 420 | 0.2251 | 0.1646 | 0.5442 |
563
+ | 3.9091 | 430 | 0.2784 | 0.1635 | 0.5448 |
564
+ | 4.0 | 440 | 0.2503 | 0.1613 | 0.5490 |
565
+ | 4.0909 | 450 | 0.2342 | 0.1588 | 0.5501 |
566
+ | 4.1818 | 460 | 0.3139 | 0.1584 | 0.5527 |
567
+ | 4.2727 | 470 | 0.2356 | 0.1552 | 0.5498 |
568
+ | 4.3636 | 480 | 0.3147 | 0.1496 | 0.5518 |
569
+ | 4.4545 | 490 | 0.2691 | 0.1469 | 0.5508 |
570
+ | 4.5455 | 500 | 0.2639 | 0.1466 | 0.5561 |
571
+ | 4.6364 | 510 | 0.1581 | 0.1432 | 0.5625 |
572
+ | 4.7273 | 520 | 0.1922 | 0.1406 | 0.5663 |
573
+ | 4.8182 | 530 | 0.2453 | 0.1406 | 0.5688 |
574
+ | 4.9091 | 540 | 0.2631 | 0.1399 | 0.5705 |
575
+ | 5.0 | 550 | 0.3324 | 0.1402 | 0.5681 |
576
+ | 5.0909 | 560 | 0.1801 | 0.1389 | 0.5715 |
577
+ | 5.1818 | 570 | 0.2096 | 0.1371 | 0.5736 |
578
+ | 5.2727 | 580 | 0.2167 | 0.1344 | 0.5743 |
579
+ | 5.3636 | 590 | 0.1553 | 0.1297 | 0.5791 |
580
+ | 5.4545 | 600 | 0.1903 | 0.1263 | 0.5790 |
581
+ | 5.5455 | 610 | 0.1388 | 0.1241 | 0.5816 |
582
+ | 5.6364 | 620 | 0.2642 | 0.1231 | 0.5809 |
583
+ | 5.7273 | 630 | 0.2119 | 0.1238 | 0.5792 |
584
+ | 5.8182 | 640 | 0.1767 | 0.1216 | 0.5809 |
585
+ | 5.9091 | 650 | 0.2167 | 0.1218 | 0.5810 |
586
+ | 6.0 | 660 | 0.26 | 0.1232 | 0.5793 |
587
+ | 6.0909 | 670 | 0.1603 | 0.1222 | 0.5807 |
588
+ | 6.1818 | 680 | 0.1534 | 0.1209 | 0.5794 |
589
+ | 6.2727 | 690 | 0.1742 | 0.1165 | 0.5821 |
590
+ | 6.3636 | 700 | 0.1133 | 0.1120 | 0.5824 |
591
+ | 6.4545 | 710 | 0.1198 | 0.1106 | 0.5817 |
592
+ | 6.5455 | 720 | 0.2019 | 0.1114 | 0.5832 |
593
+ | 6.6364 | 730 | 0.2268 | 0.1116 | 0.5823 |
594
+ | 6.7273 | 740 | 0.1779 | 0.1077 | 0.5887 |
595
+ | 6.8182 | 750 | 0.1586 | 0.1048 | 0.5892 |
596
+ | 6.9091 | 760 | 0.2074 | 0.1057 | 0.5872 |
597
+ | 7.0 | 770 | 0.1625 | 0.1091 | 0.5881 |
598
+ | 7.0909 | 780 | 0.2266 | 0.1079 | 0.5900 |
599
+ | 7.1818 | 790 | 0.148 | 0.1054 | 0.5895 |
600
+ | 7.2727 | 800 | 0.1248 | 0.1048 | 0.5916 |
601
+ | 7.3636 | 810 | 0.1753 | 0.1047 | 0.5956 |
602
+ | 7.4545 | 820 | 0.109 | 0.1045 | 0.5981 |
603
+ | 7.5455 | 830 | 0.1369 | 0.1056 | 0.5953 |
604
+ | 7.6364 | 840 | 0.1209 | 0.1068 | 0.5946 |
605
+ | 7.7273 | 850 | 0.182 | 0.1079 | 0.5952 |
606
+ | 7.8182 | 860 | 0.1116 | 0.1083 | 0.5978 |
607
+ | 7.9091 | 870 | 0.1813 | 0.1033 | 0.5985 |
608
+ | 8.0 | 880 | 0.1559 | 0.1010 | 0.6027 |
609
+ | 8.0909 | 890 | 0.1384 | 0.1019 | 0.6017 |
610
+ | 8.1818 | 900 | 0.1057 | 0.1034 | 0.6004 |
611
+ | 8.2727 | 910 | 0.1359 | 0.1033 | 0.5994 |
612
+ | 8.3636 | 920 | 0.0909 | 0.1008 | 0.6011 |
613
+ | 8.4545 | 930 | 0.0995 | 0.0986 | 0.6030 |
614
+ | 8.5455 | 940 | 0.1261 | 0.0973 | 0.6046 |
615
+ | 8.6364 | 950 | 0.1031 | 0.0955 | 0.6013 |
616
+ | 8.7273 | 960 | 0.1163 | 0.0949 | 0.6018 |
617
+ | 8.8182 | 970 | 0.1493 | 0.0963 | 0.6041 |
618
+ | 8.9091 | 980 | 0.13 | 0.0967 | 0.6044 |
619
+ | 9.0 | 990 | 0.1059 | 0.0937 | 0.6044 |
620
+ | 9.0909 | 1000 | 0.1287 | 0.0923 | 0.6045 |
621
+ | 9.1818 | 1010 | 0.1019 | 0.0924 | 0.6086 |
622
+ | 9.2727 | 1020 | 0.1645 | 0.0921 | 0.6086 |
623
+ | 9.3636 | 1030 | 0.1395 | 0.0931 | 0.6075 |
624
+ | 9.4545 | 1040 | 0.1067 | 0.0935 | 0.6051 |
625
+ | 9.5455 | 1050 | 0.1334 | 0.0930 | 0.6058 |
626
+ | 9.6364 | 1060 | 0.136 | 0.0919 | 0.6069 |
627
+ | 9.7273 | 1070 | 0.0968 | 0.0930 | 0.6052 |
628
+ | 9.8182 | 1080 | 0.1447 | 0.0946 | 0.6077 |
629
+ | 9.9091 | 1090 | 0.1288 | 0.0967 | 0.6049 |
630
+ | 10.0 | 1100 | 0.1001 | 0.0960 | 0.6034 |
631
+ | 10.0909 | 1110 | 0.1642 | 0.0952 | 0.6000 |
632
+ | 10.1818 | 1120 | 0.1737 | 0.0926 | 0.6028 |
633
+ | 10.2727 | 1130 | 0.1283 | 0.0906 | 0.6023 |
634
+ | 10.3636 | 1140 | 0.0959 | 0.0906 | 0.6073 |
635
+ | 10.4545 | 1150 | 0.0875 | 0.0927 | 0.6065 |
636
+ | 10.5455 | 1160 | 0.1284 | 0.0934 | 0.6058 |
637
+ | 10.6364 | 1170 | 0.1482 | 0.0937 | 0.6049 |
638
+ | 10.7273 | 1180 | 0.1089 | 0.0925 | 0.6018 |
639
+ | 10.8182 | 1190 | 0.0876 | 0.0896 | 0.6068 |
640
+ | 10.9091 | 1200 | 0.0849 | 0.0897 | 0.6062 |
641
+ | 11.0 | 1210 | 0.1041 | 0.0897 | 0.6073 |
642
+ | 11.0909 | 1220 | 0.107 | 0.0889 | 0.6043 |
643
+ | 11.1818 | 1230 | 0.1018 | 0.0868 | 0.6059 |
644
+ | 11.2727 | 1240 | 0.0835 | 0.0846 | 0.6106 |
645
+ | 11.3636 | 1250 | 0.1455 | 0.0831 | 0.6069 |
646
+ | 11.4545 | 1260 | 0.1071 | 0.0832 | 0.6051 |
647
+ | 11.5455 | 1270 | 0.0777 | 0.0839 | 0.6054 |
648
+ | 11.6364 | 1280 | 0.1218 | 0.0855 | 0.6051 |
649
+ | 11.7273 | 1290 | 0.0702 | 0.0862 | 0.6048 |
650
+ | 11.8182 | 1300 | 0.1017 | 0.0865 | 0.6068 |
651
+ | 11.9091 | 1310 | 0.1452 | 0.0860 | 0.6074 |
652
+ | 12.0 | 1320 | 0.1563 | 0.0855 | 0.6073 |
653
+ | 12.0909 | 1330 | 0.1026 | 0.0858 | 0.6102 |
654
+ | 12.1818 | 1340 | 0.108 | 0.0861 | 0.6062 |
655
+ | 12.2727 | 1350 | 0.078 | 0.0854 | 0.6055 |
656
+ | 12.3636 | 1360 | 0.0655 | 0.0847 | 0.6082 |
657
+ | 12.4545 | 1370 | 0.1075 | 0.0836 | 0.6085 |
658
+ | 12.5455 | 1380 | 0.0875 | 0.0846 | 0.6049 |
659
+ | 12.6364 | 1390 | 0.1082 | 0.0828 | 0.6096 |
660
+ | 12.7273 | 1400 | 0.1133 | 0.0816 | 0.6077 |
661
+ | 12.8182 | 1410 | 0.0931 | 0.0814 | 0.6106 |
662
+ | 12.9091 | 1420 | 0.0728 | 0.0818 | 0.6085 |
663
+ | 13.0 | 1430 | 0.1338 | 0.0827 | 0.6082 |
664
+ | 13.0909 | 1440 | 0.1232 | 0.0813 | 0.6076 |
665
+ | 13.1818 | 1450 | 0.093 | 0.0796 | 0.6110 |
666
+ | 13.2727 | 1460 | 0.0994 | 0.0793 | 0.6090 |
667
+ | 13.3636 | 1470 | 0.0424 | 0.0806 | 0.6109 |
668
+ | 13.4545 | 1480 | 0.0598 | 0.0833 | 0.6086 |
669
+ | 13.5455 | 1490 | 0.0813 | 0.0841 | 0.6093 |
670
+ | 13.6364 | 1500 | 0.0913 | 0.0817 | 0.6125 |
671
+ | 13.7273 | 1510 | 0.1048 | 0.0801 | 0.6133 |
672
+ | 13.8182 | 1520 | 0.0503 | 0.0800 | 0.6110 |
673
+ | 13.9091 | 1530 | 0.0954 | 0.0800 | 0.6111 |
674
+ | 14.0 | 1540 | 0.067 | 0.0791 | 0.6099 |
675
+ | 14.0909 | 1550 | 0.0808 | 0.0779 | 0.6111 |
676
+ | 14.1818 | 1560 | 0.1047 | 0.0783 | 0.6110 |
677
+ | 14.2727 | 1570 | 0.0685 | 0.0791 | 0.6125 |
678
+ | 14.3636 | 1580 | 0.1215 | 0.0793 | 0.6120 |
679
+ | 14.4545 | 1590 | 0.0761 | 0.0794 | 0.6157 |
680
+ | 14.5455 | 1600 | 0.0705 | 0.0790 | 0.6136 |
681
+ | 14.6364 | 1610 | 0.0722 | 0.0785 | 0.6098 |
682
+ | 14.7273 | 1620 | 0.0881 | 0.0785 | 0.6120 |
683
+ | 14.8182 | 1630 | 0.0668 | 0.0791 | 0.6122 |
684
+ | 14.9091 | 1640 | 0.1261 | 0.0787 | 0.6152 |
685
+ | 15.0 | 1650 | 0.0601 | 0.0784 | 0.6148 |
686
+ | 15.0909 | 1660 | 0.0701 | 0.0799 | 0.6167 |
687
+ | 15.1818 | 1670 | 0.1244 | 0.0794 | 0.6160 |
688
+ | 15.2727 | 1680 | 0.0531 | 0.0788 | 0.6174 |
689
+ | 15.3636 | 1690 | 0.0518 | 0.0780 | 0.6154 |
690
+ | 15.4545 | 1700 | 0.0961 | 0.0784 | 0.6142 |
691
+ | 15.5455 | 1710 | 0.1041 | - | - |
692
+
693
  </details>
694
 
695
  ### Framework Versions
696
  - Python: 3.10.12
697
+ - Sentence Transformers: 3.3.0
698
+ - Transformers: 4.46.2
699
+ - PyTorch: 2.5.1+cu121
700
+ - Accelerate: 1.1.1
701
  - Datasets: 3.1.0
702
+ - Tokenizers: 0.20.3
703
 
704
  ## Citation
705
 
config.json CHANGED
@@ -24,7 +24,7 @@
24
  "pad_token_id": 0,
25
  "position_embedding_type": "absolute",
26
  "torch_dtype": "float32",
27
- "transformers_version": "4.44.2",
28
  "type_vocab_size": 2,
29
  "use_cache": true,
30
  "vocab_size": 30522
 
24
  "pad_token_id": 0,
25
  "position_embedding_type": "absolute",
26
  "torch_dtype": "float32",
27
+ "transformers_version": "4.46.2",
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  "type_vocab_size": 2,
29
  "use_cache": true,
30
  "vocab_size": 30522
config_sentence_transformers.json CHANGED
@@ -1,10 +1,10 @@
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4
- "transformers": "4.44.2",
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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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  }
 
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+ "pytorch": "2.5.1+cu121"
6
  },
7
  "prompts": {},
8
  "default_prompt_name": null,
9
+ "similarity_fn_name": "cosine"
10
  }
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  size 133462128
 
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