B0ketto commited on
Commit
4cc993a
·
verified ·
1 Parent(s): 6c234d3

hmm404/siamese1.0

Browse files
README.md CHANGED
@@ -4,72 +4,74 @@ tags:
4
  - sentence-similarity
5
  - feature-extraction
6
  - generated_from_trainer
7
- - dataset_size:32351
8
- - loss:TripletLoss
9
  base_model: sentence-transformers/all-mpnet-base-v2
10
  widget:
11
- - source_sentence: No civilized society permits one human to intentionally harm or
12
- take the life of another human without punishment, and abortion is no different.
13
  sentences:
14
- - There cannot be any dispute whatsoever that the fetus that a human woman is pregnant
15
- with is a human also, and a member of the human species is defined as a human
16
- being. Regardless of a "persons" \(a human and an individual\) age they are still
17
- of the human species and biologically different and unique from the mother and
18
- have life, these are scientific proven facts.
19
- - Edwards syndrome can be detected when a baby is in the womb. The condition causes
20
- abnormalities and defects in multiple organs. The majority of children with this
21
- condition will die due to a miscarriage. Those that are born, suffer from several
22
- life-threatening medical problems. The small percentage of children with Edwards'
23
- syndrome who live for longer than one year, often suffer from severe intellectual
24
- disabilities. It is not unethical for a woman to abort a child with Edwards syndrome.
25
- - Most countries have an army, including civilized ones. Citizens in the army that
26
- kill others in the line of army duties are not punished.
27
- - source_sentence: Ants directly "milk" aphids for their honeydew), so while saying
28
- no other animal drinks another's milk is true, other animals do actively drink
29
- other animals secretions in a symbiotic way.
30
  sentences:
31
- - Dairy cows are well fed, protected from weather and disease, and generally are
32
- far better off than their wild cousins.
33
- - There is nothing symbiotic about humans' consumption of cows' milk, meaning their
34
- relationship is simply exploitative.
35
- - Football is associated with Chronic traumatic encephalopathy \(CTE\), which typically
36
- entails behavioral problems, mood problems, and problems with thinking.
37
- - source_sentence: Reunification is highly unlikely anyway as no international great
38
- power has an interest in it.
 
 
 
 
 
 
39
  sentences:
40
- - Japan has no interest in Korean reunification as this would result in a large,
41
- more powerful Korea. The two countries have had difficult diplomatic relations
42
- for decades.
43
- - After mosquitoes, humans are the second cause of humans' deaths. www.telegraph.co.uk
44
- - The preferences of the great powers are not the determining factor here. Korean
45
- unification will ultimately be a project of the two current governments.
46
- - source_sentence: Christ did not participate in any war. The logical answer for a
47
- Christian is thus to not participate either.
48
  sentences:
49
- - While some experts consider that overpopulation and its pressure on resources
50
- may not be the most pressing problem, many agree that aging populations are indeed
51
- a concern. The strain on system that rely on pensions \(where the current workers
52
- fund retirees through taxes\) can have dire results.
53
- - One of the central teachings of Jesus in the New Testament is love, even towards
54
- your enemy. Someone driven by this attitude will not fight in a war and kill humans.
55
- - There were no wars to participate in during the lifetime of Jesus.
56
- - source_sentence: The use of laptops in classrooms impedes students' learning.
 
 
 
 
57
  sentences:
58
- - The memory performance of students using laptops in the classroom is worse than
59
- that of students not using laptops \(Hembrooke/Gay, p. 9; Wood et al, p. 369;
60
- Risko et al., p. 281\).
61
- - Surveys indicate that more than half of all students believe that they learn best
62
- with the help of laptops and that they enjoy it the most compared to the use of
63
- other devices or the use of no electronic devices at all \(Pearson, p. 29\).
64
- - In no other area of medicine would it be acceptable to try and tout non-legitimate
65
- treatments as viable options.
66
  pipeline_tag: sentence-similarity
67
  library_name: sentence-transformers
68
  ---
69
 
70
  # SentenceTransformer based on sentence-transformers/all-mpnet-base-v2
71
 
72
- This is a [sentence-transformers](https://www.SBERT.net) model finetuned from [sentence-transformers/all-mpnet-base-v2](https://huggingface.co/sentence-transformers/all-mpnet-base-v2) on the train and test datasets. 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.
73
 
74
  ## Model Details
75
 
@@ -79,9 +81,7 @@ This is a [sentence-transformers](https://www.SBERT.net) model finetuned from [s
79
  - **Maximum Sequence Length:** 384 tokens
80
  - **Output Dimensionality:** 768 dimensions
81
  - **Similarity Function:** Cosine Similarity
82
- - **Training Datasets:**
83
- - train
84
- - test
85
  <!-- - **Language:** Unknown -->
86
  <!-- - **License:** Unknown -->
87
 
@@ -119,9 +119,9 @@ from sentence_transformers import SentenceTransformer
119
  model = SentenceTransformer("sentence_transformers_model_id")
120
  # Run inference
121
  sentences = [
122
- "The use of laptops in classrooms impedes students' learning.",
123
- 'The memory performance of students using laptops in the classroom is worse than that of students not using laptops \\(Hembrooke/Gay, p. 9; Wood et al, p. 369; Risko et al., p. 281\\).',
124
- 'Surveys indicate that more than half of all students believe that they learn best with the help of laptops and that they enjoy it the most compared to the use of other devices or the use of no electronic devices at all \\(Pearson, p. 29\\).',
125
  ]
126
  embeddings = model.encode(sentences)
127
  print(embeddings.shape)
@@ -171,53 +171,29 @@ You can finetune this model on your own dataset.
171
 
172
  ## Training Details
173
 
174
- ### Training Datasets
175
 
176
- #### train
177
 
178
- * Dataset: train
179
- * Size: 25,880 training samples
180
- * Columns: <code>anchor</code>, <code>positive</code>, and <code>negative</code>
181
  * Approximate statistics based on the first 1000 samples:
182
- | | anchor | positive | negative |
183
- |:--------|:-----------------------------------------------------------------------------------|:-----------------------------------------------------------------------------------|:-----------------------------------------------------------------------------------|
184
- | type | string | string | string |
185
- | details | <ul><li>min: 3 tokens</li><li>mean: 28.44 tokens</li><li>max: 186 tokens</li></ul> | <ul><li>min: 3 tokens</li><li>mean: 35.51 tokens</li><li>max: 148 tokens</li></ul> | <ul><li>min: 3 tokens</li><li>mean: 35.11 tokens</li><li>max: 169 tokens</li></ul> |
186
  * Samples:
187
- | anchor | positive | negative |
188
- |:-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
189
- | <code>"Colorblindness" ignores the current realities of how someone's race affects them in daily life.</code> | <code>Minorities face disadvantages, solely due to their race, that majority races don't have to face. These disadvantages cannot be ignored.</code> | <code>Out of scope from original stance. "Should society work towards...." meaning: is it a worthy end-goal. Outside of scope is current realities which this point is addressing.</code> |
190
- | <code>Taking fewer shifts at work may allow people to vote or attend a town hall or a school board meeting. This allows lower income employees time to be more politically engaged in their communities so that they are better able to represent their own interests in government. \(Berry 2012\)</code> | <code>Increased political engagement is good because it allows political forces to represent the people more easily. Increased political engagement will also help increase trust in government, leading to a better civil service.</code> | <code>Lower income employees lack political representation due to the lobbying power that being wealthy brings, not because they lack the time to be politically engaged.</code> |
191
- | <code>The US has no long-standing practice of executing in an intentionally cruel manner and repeatedly phased out execution methods that were deemed inhumane.</code> | <code>Electrocution was specifically adopted with the belief and intention that it would be more humane and less painful.</code> | <code>88% of all executions in the United States since 1976 were conducted via lethal injections. It remains the primary method in all American states and for the federal government. This shows that America has de-facto a long-standing practice of executing in an avoidably painful manner.</code> |
192
- * Loss: [<code>TripletLoss</code>](https://sbert.net/docs/package_reference/sentence_transformer/losses.html#tripletloss) with these parameters:
193
  ```json
194
  {
195
- "distance_metric": "TripletDistanceMetric.COSINE",
196
- "triplet_margin": 0.3
197
- }
198
- ```
199
-
200
- #### test
201
-
202
- * Dataset: test
203
- * Size: 6,471 training samples
204
- * Columns: <code>anchor</code>, <code>positive</code>, and <code>negative</code>
205
- * Approximate statistics based on the first 1000 samples:
206
- | | anchor | positive | negative |
207
- |:--------|:-----------------------------------------------------------------------------------|:-----------------------------------------------------------------------------------|:-----------------------------------------------------------------------------------|
208
- | type | string | string | string |
209
- | details | <ul><li>min: 7 tokens</li><li>mean: 27.97 tokens</li><li>max: 116 tokens</li></ul> | <ul><li>min: 6 tokens</li><li>mean: 34.26 tokens</li><li>max: 124 tokens</li></ul> | <ul><li>min: 7 tokens</li><li>mean: 35.75 tokens</li><li>max: 134 tokens</li></ul> |
210
- * Samples:
211
- | anchor | positive | negative |
212
- |:------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
213
- | <code>Theft only applies to instances involving the individual loss of property that then unjustly enriches another. Tax does not unjustly enrich any individual because it benefits \(and is necessary for\) society as a whole. Thus it is merely the just payment of a debt that all individuals owe to each other.</code> | <code>Taxation is required for the government to act in the economy, whether that be to provide infrastructure or essential services such as welfare.</code> | <code>Such a collective act can still meet the definition of theft; for instance if a government authorises its agents to take items from another country \(as in cases of historic looting\). Just because a collective benefits from an action does not necessarily justify that action.</code> |
214
- | <code>Admitting more refugees can have adverse effects on host economies. US economic interests in Europe could subsequently be negatively impacted.</code> | <code>Admitting more refugees could increase the population of low skilled laborers. By the logic of the Stopler-Samuelson theorem, this would drive wages down for citizens of the host country.</code> | <code>Approximately half of the jobs available to workers in Europe can be automated mckinsey.com. Since technological advancement has greater potential for job displacement than refugee migration, policy makers should be wary of citing economic reasons against expanding refugee intake.</code> |
215
- | <code>Private universities have historically been institutions of innovation in education, forcing them into an unfair marketplace would be a mistake.</code> | <code>Public universities are controlled by the state making politically controversial courses of study more difficult.</code> | <code>Plenty of innovation in education comes from public universities, they make up many of the examples of innovation cited in this report.</code> |
216
- * Loss: [<code>TripletLoss</code>](https://sbert.net/docs/package_reference/sentence_transformer/losses.html#tripletloss) with these parameters:
217
- ```json
218
- {
219
- "distance_metric": "TripletDistanceMetric.COSINE",
220
- "triplet_margin": 0.3
221
  }
222
  ```
223
 
@@ -347,30 +323,42 @@ You can finetune this model on your own dataset.
347
  ### Training Logs
348
  | Epoch | Step | Training Loss |
349
  |:------:|:-----:|:-------------:|
350
- | 0.1236 | 500 | 0.2134 |
351
- | 0.2473 | 1000 | 0.1983 |
352
- | 0.3709 | 1500 | 0.1925 |
353
- | 0.4946 | 2000 | 0.1868 |
354
- | 0.6182 | 2500 | 0.1808 |
355
- | 0.7418 | 3000 | 0.1722 |
356
- | 0.8655 | 3500 | 0.166 |
357
- | 0.9891 | 4000 | 0.1682 |
358
- | 1.1128 | 4500 | 0.1304 |
359
- | 1.2364 | 5000 | 0.1239 |
360
- | 1.3600 | 5500 | 0.1224 |
361
- | 1.4837 | 6000 | 0.1248 |
362
- | 1.6073 | 6500 | 0.1204 |
363
- | 1.7310 | 7000 | 0.1191 |
364
- | 1.8546 | 7500 | 0.1142 |
365
- | 1.9782 | 8000 | 0.1169 |
366
- | 2.1019 | 8500 | 0.0802 |
367
- | 2.2255 | 9000 | 0.0641 |
368
- | 2.3492 | 9500 | 0.0662 |
369
- | 2.4728 | 10000 | 0.0696 |
370
- | 2.5964 | 10500 | 0.0624 |
371
- | 2.7201 | 11000 | 0.0617 |
372
- | 2.8437 | 11500 | 0.0641 |
373
- | 2.9674 | 12000 | 0.06 |
 
 
 
 
 
 
 
 
 
 
 
 
374
 
375
 
376
  ### Framework Versions
@@ -399,15 +387,17 @@ You can finetune this model on your own dataset.
399
  }
400
  ```
401
 
402
- #### TripletLoss
403
  ```bibtex
404
- @misc{hermans2017defense,
405
- title={In Defense of the Triplet Loss for Person Re-Identification},
406
- author={Alexander Hermans and Lucas Beyer and Bastian Leibe},
407
- year={2017},
408
- eprint={1703.07737},
409
- archivePrefix={arXiv},
410
- primaryClass={cs.CV}
 
 
411
  }
412
  ```
413
 
 
4
  - sentence-similarity
5
  - feature-extraction
6
  - generated_from_trainer
7
+ - dataset_size:49273
8
+ - loss:ContrastiveLoss
9
  base_model: sentence-transformers/all-mpnet-base-v2
10
  widget:
11
+ - source_sentence: Evil is separate from the creator and results from creations after
12
+ they are created
13
  sentences:
14
+ - The Creation of an omniscient and omnipotent God, after it's created, remains
15
+ in "his" control by definition. The time dimension is part of the world \(God's
16
+ creation\), so the consequences to the creation as time goes by are part of the
17
+ creation itself. There can be no separation. If evil exists, it must be part of
18
+ such a God's plan.
19
+ - There aren't sufficient grounds for believing that the Bible contains divine revelation.
20
+ - Higher occurrence rate of informal or 'donkey' voting.
21
+ - source_sentence: Liquid democracy will slow down governments even more, as all citizens
22
+ have to ponder about each and every issue and on top, if they conclude that they
23
+ do not want to vote, then about all the many possible experts for each and every
24
+ issue.
 
 
 
 
 
25
  sentences:
26
+ - Association with someone like Comey doesn't make a strong case for bias. Comey
27
+ himself maintained his objectivity long beyond what most people would be capable
28
+ of, until he was directly dragged into a necessarily political position by the
29
+ President himself during the private talk.
30
+ - Looking at the partial participation, growth and continued existence of both small
31
+ niches and huge groups on Reddit, Twitter, Facebook and tons of others, verified
32
+ accounts and admins on these systems are probably the best examples of a delegate
33
+ system. We can conclude that people will participate in the parts that interest
34
+ them and delegate the rest, resulting in the desired speed-up of democracy.
35
+ - There is some chicken-or-egg here. One might argue a welfare state leads to less
36
+ poverty, but another would argue welfare states are a luxury only affordable by
37
+ wealthy countries.
38
+ - source_sentence: Renewable energy is a better option for replacing fossil fuels
39
+ than nuclear.
40
  sentences:
41
+ - Pulling out supports the impression he frequently conveys to his base that he's
42
+ deadly serious about America First). They seem to approve.
43
+ - Renewable energy sources are cheaper than nuclear.
44
+ - Abolishing inheritance might lead to children not treating their parents as well
45
+ as they would have otherwise.
46
+ - source_sentence: Throughout the play, Claudius indicates that he does not fully
47
+ believe that Hamlet is mad.
 
48
  sentences:
49
+ - Claudius admits that Hamlet's behaviour is more indicative of depression or melancholy
50
+ than madness "What he spake, though it lack'd form a little. Was not like madness."
51
+ \(Act 3, Scene i\)
52
+ - AI is a software.
53
+ - If people think that their car will kill them, it will not stop them from hacking
54
+ their car, even if it lowered their car's security. People tend to be less focused
55
+ on downstream consequences when dealing with immediate problems. Further, they
56
+ could justify it by saying that the probability that they would even be hacked
57
+ is incredibly low, and the marginal loss of security is worth it.
58
+ - source_sentence: As race is socially constructed, it means different things to different
59
+ people. As a result, there is no clear line which courts can use to differentiate
60
+ what is and isn't whitewashing.
61
  sentences:
62
+ - For some, it would be whitewashing to have a lighter skinned black person portraying
63
+ a person who had a darker skin tone in real life. For others, this would not be
64
+ the case.
65
+ - Some goods may only be actualizable by allowing the possibility of evil.
66
+ - Energy for EVs has to be produced in often environmentally unfriendly power plants,
67
+ such as coal or gas.
 
 
68
  pipeline_tag: sentence-similarity
69
  library_name: sentence-transformers
70
  ---
71
 
72
  # SentenceTransformer based on sentence-transformers/all-mpnet-base-v2
73
 
74
+ This is a [sentence-transformers](https://www.SBERT.net) model finetuned from [sentence-transformers/all-mpnet-base-v2](https://huggingface.co/sentence-transformers/all-mpnet-base-v2). 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.
75
 
76
  ## Model Details
77
 
 
81
  - **Maximum Sequence Length:** 384 tokens
82
  - **Output Dimensionality:** 768 dimensions
83
  - **Similarity Function:** Cosine Similarity
84
+ <!-- - **Training Dataset:** Unknown -->
 
 
85
  <!-- - **Language:** Unknown -->
86
  <!-- - **License:** Unknown -->
87
 
 
119
  model = SentenceTransformer("sentence_transformers_model_id")
120
  # Run inference
121
  sentences = [
122
+ "As race is socially constructed, it means different things to different people. As a result, there is no clear line which courts can use to differentiate what is and isn't whitewashing.",
123
+ 'For some, it would be whitewashing to have a lighter skinned black person portraying a person who had a darker skin tone in real life. For others, this would not be the case.',
124
+ 'Energy for EVs has to be produced in often environmentally unfriendly power plants, such as coal or gas.',
125
  ]
126
  embeddings = model.encode(sentences)
127
  print(embeddings.shape)
 
171
 
172
  ## Training Details
173
 
174
+ ### Training Dataset
175
 
176
+ #### Unnamed Dataset
177
 
178
+ * Size: 49,273 training samples
179
+ * Columns: <code>sentence1</code>, <code>sentence2</code>, and <code>label</code>
 
180
  * Approximate statistics based on the first 1000 samples:
181
+ | | sentence1 | sentence2 | label |
182
+ |:--------|:-----------------------------------------------------------------------------------|:-----------------------------------------------------------------------------------|:------------------------------------------------|
183
+ | type | string | string | int |
184
+ | details | <ul><li>min: 3 tokens</li><li>mean: 30.31 tokens</li><li>max: 126 tokens</li></ul> | <ul><li>min: 5 tokens</li><li>mean: 35.61 tokens</li><li>max: 180 tokens</li></ul> | <ul><li>0: ~54.80%</li><li>1: ~45.20%</li></ul> |
185
  * Samples:
186
+ | sentence1 | sentence2 | label |
187
+ |:------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:---------------|
188
+ | <code>Pope Francis has tried to encourage Catholic priests to give communion to some divorced and remarried couples, or to families where unmarried parents are cohabiting. These statements have contributed to division among Catholics.</code> | <code>Pope Francis has stated that the church should apologise for its "blessing of many weapons", specifically against women, children, the LGBT community, and the poor.</code> | <code>1</code> |
189
+ | <code>Large areas of Earth are either not economically viable or are outright inhospitable without expensive long term terraforming projects to render them viable for proper habitation. As the population grows, supporting said population becomes exponentially more expensive per square meter.</code> | <code>Most likely people will retreat inland instead of creating 'water worlds', because it is easier and populations are well-established there.</code> | <code>1</code> |
190
+ | <code>Environmental and social wellbeing are ultimately in the best interests of businesses. Given enough freedom, businesses don't need to compromise society or the environment to thrive. Preserving these things will help them in the long run.</code> | <code>Nobody starts a business intending it to fail. They all must utilize sustainable business models. Any damage caused would be avoided through the government allowing companies what they need, while encouraging socially beneficial business practices, and enforcing individual liberty in the case a business attempts to infringe upon it. That’s as opposed to simply punishing those who step outside some arbitrary boundary with taxes and regulations, which kill otherwise perfectly good businesses.</code> | <code>1</code> |
191
+ * Loss: [<code>ContrastiveLoss</code>](https://sbert.net/docs/package_reference/sentence_transformer/losses.html#contrastiveloss) with these parameters:
192
  ```json
193
  {
194
+ "distance_metric": "SiameseDistanceMetric.COSINE_DISTANCE",
195
+ "margin": 0.5,
196
+ "size_average": true
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
197
  }
198
  ```
199
 
 
323
  ### Training Logs
324
  | Epoch | Step | Training Loss |
325
  |:------:|:-----:|:-------------:|
326
+ | 0.0812 | 500 | 0.0309 |
327
+ | 0.1623 | 1000 | 0.0281 |
328
+ | 0.2435 | 1500 | 0.0279 |
329
+ | 0.3247 | 2000 | 0.0272 |
330
+ | 0.4058 | 2500 | 0.0257 |
331
+ | 0.4870 | 3000 | 0.0272 |
332
+ | 0.5682 | 3500 | 0.0265 |
333
+ | 0.6494 | 4000 | 0.0261 |
334
+ | 0.7305 | 4500 | 0.0252 |
335
+ | 0.8117 | 5000 | 0.0255 |
336
+ | 0.8929 | 5500 | 0.0261 |
337
+ | 0.9740 | 6000 | 0.0254 |
338
+ | 1.0552 | 6500 | 0.023 |
339
+ | 1.1364 | 7000 | 0.0223 |
340
+ | 1.2175 | 7500 | 0.0219 |
341
+ | 1.2987 | 8000 | 0.0209 |
342
+ | 1.3799 | 8500 | 0.0213 |
343
+ | 1.4610 | 9000 | 0.0205 |
344
+ | 1.5422 | 9500 | 0.0209 |
345
+ | 1.6234 | 10000 | 0.0205 |
346
+ | 1.7045 | 10500 | 0.0205 |
347
+ | 1.7857 | 11000 | 0.0201 |
348
+ | 1.8669 | 11500 | 0.0203 |
349
+ | 1.9481 | 12000 | 0.0196 |
350
+ | 2.0292 | 12500 | 0.0171 |
351
+ | 2.1104 | 13000 | 0.0148 |
352
+ | 2.1916 | 13500 | 0.0139 |
353
+ | 2.2727 | 14000 | 0.0145 |
354
+ | 2.3539 | 14500 | 0.0138 |
355
+ | 2.4351 | 15000 | 0.0138 |
356
+ | 2.5162 | 15500 | 0.0144 |
357
+ | 2.5974 | 16000 | 0.0134 |
358
+ | 2.6786 | 16500 | 0.0138 |
359
+ | 2.7597 | 17000 | 0.014 |
360
+ | 2.8409 | 17500 | 0.0133 |
361
+ | 2.9221 | 18000 | 0.0136 |
362
 
363
 
364
  ### Framework Versions
 
387
  }
388
  ```
389
 
390
+ #### ContrastiveLoss
391
  ```bibtex
392
+ @inproceedings{hadsell2006dimensionality,
393
+ author={Hadsell, R. and Chopra, S. and LeCun, Y.},
394
+ booktitle={2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06)},
395
+ title={Dimensionality Reduction by Learning an Invariant Mapping},
396
+ year={2006},
397
+ volume={2},
398
+ number={},
399
+ pages={1735-1742},
400
+ doi={10.1109/CVPR.2006.100}
401
  }
402
  ```
403
 
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:3e8a5771689729abff030256879319e0e8d174d9c026410d73bccf568ed0ae10
3
  size 437967672
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:36e88c6340b3eb3a8fdb0db2c1aa25591bc89c86bd3ca79da7bff4b6b7bfea28
3
  size 437967672
runs/Feb16_03-04-22_fd002087ebe1/events.out.tfevents.1739675063.fd002087ebe1.667.0 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:ab201d847dd13f6250fda40af30ceaddf79f49215a7d43974496d0259fad3ab6
3
+ size 12347
training_args.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:286d7f67a76e9bf3a9c2f88dc037151c17c7bbd90f6450a7cc4c1eb942163d77
3
  size 5560
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:20d502cd8247c5e637c7f4cf273aee02cb9cef7a21046455af267e6b7a831aa7
3
  size 5560