Hugging Face's logo

hmm404
/
tmp_trainer

Sentence Similarity
sentence-transformers
TensorBoard
Safetensors
mpnet
feature-extraction
Generated from Trainer
dataset_size:32351
loss:TripletLoss
Eval Results (legacy)
text-embeddings-inference
Model card Files
xet
 Metrics Community
hmm404 commited on
Commit
77862bf
·
verified ·
1 Parent(s): 4f38ee4

End of training

Browse files
Files changed (4) hide show
  1. README.md +70 -76
  2. model.safetensors +1 -1
  3. runs/Feb20_20-41-49_11b1a2b4f9ae/events.out.tfevents.1740084114.11b1a2b4f9ae.1333.0 +3 -0
  4. training_args.bin +1 -1
README.md CHANGED
@@ -4,52 +4,62 @@ tags:
4
  - sentence-similarity
5
  - feature-extraction
6
  - generated_from_trainer
7
- - dataset_size:29115
8
  - loss:TripletLoss
9
  base_model: sentence-transformers/all-mpnet-base-v2
10
  widget:
11
- - source_sentence: China doesn't employ enough African executives or workers to spread
12
- know-how
13
  sentences:
14
- - Africans will have better knowledge of infrastructure when they have it in their
15
- backyards, even if they aren't the ones who work on it.
16
- - The best way of learning is to be taught. African companies need to be involved
17
- a lot more into the process of developing infrastructure.
18
- - Just 36 percent say they would vote to reelect the president in 2020, compared
19
- with 44 percent who would pick the Democrat.
20
- - source_sentence: If determinism is true, then the our understanding that determinism
21
- is true is based on chance conditions of physics and chemistry, not reason and
22
- logic. If determinism is false, the conclusion is obviously incorrect.
 
 
 
 
 
 
23
  sentences:
24
- - Predetermination does not invalidate the proven effectiveness of logic. In fact
25
- causal determinism demands it. Thus determinism does not invalidate our conclusions.
26
- - Some children are not ready to follow strict schedules at such a young age.
27
- - Without free will, the scientist cannot choose what conclusions to draw from these
28
- observations, but must conclude what she is determined to conclude. Therefore
29
- such conclusions cannot be trusted.
30
- - source_sentence: Reason alone cannot determine if God exists, so if one chooses
31
- to believe in God, one does so knowing that there is a chance it is not true;
32
- everyone who believes in God surely accepts this.
 
33
  sentences:
34
- - It is immoral to support immoral deities.
35
- - Countries would reap socio-economic benefit from the legalisation of drugs.
36
- - Believing that there's an all-Knowing and all-Seeing being makes it likelier for
37
- human beings to adhere to a moral code which is beneficial for the planet.
38
- - source_sentence: The Book of Mormon contains false prophecies.
 
39
  sentences:
40
- - The Book of Mormon falsely prophecies that those who seek to destroy Joseph Smith
41
- "shall be confounded." \(2 Nephi 3:14\)
42
- - Prophecies are vague and metaphorical. Therefore, claiming they are false does
43
- not create a strong argument against authenticity.
44
- - The hormonal and psychological shifts that occur during pregnancy put some women
45
- at an increased risk for mental illnesses, such as anxiety and depression.
46
- - source_sentence: The emergence of brands re-establishes a hierarchy within the equalized
47
- consumer society.
48
  sentences:
49
- - Not everyone can buy very expensive brands and thus need to remain behind in their
50
- conspicuous consumption.
51
- - Conspicuous consumption has existed before the advent of a consumer society.
52
- - Income inequality is extremely high in America.
 
 
53
  pipeline_tag: sentence-similarity
54
  library_name: sentence-transformers
55
  ---
@@ -104,9 +114,9 @@ from sentence_transformers import SentenceTransformer
104
  model = SentenceTransformer("sentence_transformers_model_id")
105
  # Run inference
106
  sentences = [
107
- 'The emergence of brands re-establishes a hierarchy within the equalized consumer society.',
108
- 'Not everyone can buy very expensive brands and thus need to remain behind in their conspicuous consumption.',
109
- 'Conspicuous consumption has existed before the advent of a consumer society.',
110
  ]
111
  embeddings = model.encode(sentences)
112
  print(embeddings.shape)
@@ -160,24 +170,24 @@ You can finetune this model on your own dataset.
160
 
161
  #### Unnamed Dataset
162
 
163
- * Size: 29,115 training samples
164
  * Columns: <code>anchor</code>, <code>positive</code>, and <code>negative</code>
165
  * Approximate statistics based on the first 1000 samples:
166
- | | anchor | positive | negative |
167
- |:--------|:----------------------------------------------------------------------------------|:-----------------------------------------------------------------------------------|:-----------------------------------------------------------------------------------|
168
- | type | string | string | string |
169
- | details | <ul><li>min: 4 tokens</li><li>mean: 26.7 tokens</li><li>max: 186 tokens</li></ul> | <ul><li>min: 8 tokens</li><li>mean: 34.75 tokens</li><li>max: 176 tokens</li></ul> | <ul><li>min: 6 tokens</li><li>mean: 34.92 tokens</li><li>max: 169 tokens</li></ul> |
170
  * Samples:
171
- | anchor | positive | negative |
172
- |:-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
173
- | <code>There are irrevocable consequences to execution, such as wrongful conviction.</code> | <code>Capital punishment ignores the plausibility that eventually exonerating evidence may come to light. It therefore undermines justice by exacting a punishment that cannot be undone and/or satisfactorily compensated.</code> | <code>Society is willing to accept some limited individual injustices where the system fails in order to protect the overall functioning of justice for most people. As the saying goes: "perfection is the enemy of the good." There are many cases where society accepts some risk of individual deaths in order to protect the public good, such as in the medical system where the risk of accidental death is tolerated, or in traffic safety systems or air travel which tolerate some level of lethal risk, etc.</code> |
174
- | <code>Painful executions would be easier and cheaper.</code> | <code>Executions should be administered as effectively as possible, independent of the form they take. If that involves pain, where pain isn't the end goal of the act of punishment, that doesn't seem to be unacceptable.</code> | <code>There is no cost not worthy of taking care for the well-being of citizens, depraved or not, even with respect for capital punishment as a government should be responsible for the well-being of all its citizens.</code> |
175
- | <code>Governments are not able to control population growth anyway. Nature instead will take care of it automatically once the carrying capacity of Earth is reached.</code> | <code>It is unrealistic for the government to be expected to consistently provide social goods of high quality in an equitable manner if the population is growing too quickly or shrinking too quickly.</code> | <code>But at what cost? As we approach the "natural carrying capacity" of our planet, we threaten the existence of many animal species.</code> |
176
  * Loss: [<code>TripletLoss</code>](https://sbert.net/docs/package_reference/sentence_transformer/losses.html#tripletloss) with these parameters:
177
  ```json
178
  {
179
  "distance_metric": "TripletDistanceMetric.COSINE",
180
- "triplet_margin": 0.5
181
  }
182
  ```
183
 
@@ -305,29 +315,13 @@ You can finetune this model on your own dataset.
305
  </details>
306
 
307
  ### Training Logs
308
- | Epoch | Step | Training Loss |
309
- |:------:|:-----:|:-------------:|
310
- | 0.1374 | 500 | 0.35 |
311
- | 0.2747 | 1000 | 0.3519 |
312
- | 0.4121 | 1500 | 0.3335 |
313
- | 0.5495 | 2000 | 0.3282 |
314
- | 0.6868 | 2500 | 0.3208 |
315
- | 0.8242 | 3000 | 0.3168 |
316
- | 0.9615 | 3500 | 0.3003 |
317
- | 1.0989 | 4000 | 0.263 |
318
- | 1.2363 | 4500 | 0.2516 |
319
- | 1.3736 | 5000 | 0.2326 |
320
- | 1.5110 | 5500 | 0.2405 |
321
- | 1.6484 | 6000 | 0.2339 |
322
- | 1.7857 | 6500 | 0.2316 |
323
- | 1.9231 | 7000 | 0.2302 |
324
- | 2.0604 | 7500 | 0.1848 |
325
- | 2.1978 | 8000 | 0.149 |
326
- | 2.3352 | 8500 | 0.1573 |
327
- | 2.4725 | 9000 | 0.1528 |
328
- | 2.6099 | 9500 | 0.1617 |
329
- | 2.7473 | 10000 | 0.1466 |
330
- | 2.8846 | 10500 | 0.1459 |
331
 
332
 
333
  ### Framework Versions
@@ -336,7 +330,7 @@ You can finetune this model on your own dataset.
336
  - Transformers: 4.48.3
337
  - PyTorch: 2.5.1+cu124
338
  - Accelerate: 1.3.0
339
- - Datasets: 3.3.1
340
  - Tokenizers: 0.21.0
341
 
342
  ## Citation
 
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: Genetic conditions that cause nutritional deficiencies can prevent
12
+ a person from removing meat from their diet.
13
  sentences:
14
+ - Ante un estado que no quiere hablar del tema, para Cataluña, solo es posible seguir
15
+ su propio camino por otras vías.
16
+ - Retinol deficiency is a genetically pre-disposed condition that prevents conversion
17
+ beta-carotene to Vitamin A \(retinol\) in humans. Since plants have no retinol
18
+ \(only beta-carotene\), humans with this condition cannot have a vegan diet, only
19
+ one with animal products.
20
+ - People with hemochromatosis \(a genetic condition\) can benefit greatly from a
21
+ vegan diet, due to the lower absorbing non-heme iron in plants \(compared to heme
22
+ iron in meat\).
23
+ - source_sentence: 'The definition of veganism is: "A way of living which seeks to
24
+ exclude, as far as is possible and practicable, all forms of exploitation of,
25
+ and cruelty to, animals for food, clothing or any other purpose." In the \(unlikely\)
26
+ case of survival or health concerns, the "as far as possible and practicable"
27
+ clause makes it possible for such persons to be considered vegan as they would
28
+ have no alternative options.'
29
  sentences:
30
+ - Veganism is not solely about diet. A person can still choose to live in accordance
31
+ with vegan values, such as by avoiding animal circuses and leather/fur products.
32
+ - It's easier to regulate established companies in a legal market than it is in
33
+ the black market. Any issue would be with bad regulations not legalization.
34
+ - That definition is too vague. There are different definitions of veganism, many
35
+ of which are not compatible with using animals in any circumstances. In a way
36
+ we are all vegan depending on how easy you believe it is to reach all the necessary
37
+ nutrition in your city harming as few animals as possible.
38
+ - source_sentence: Adding coding to the school curriculum means that something else
39
+ must be left out.
40
  sentences:
41
+ - Coding skills are much needed in today's job market.
42
+ - Cataluña saldría de la UE con efectos económicos desastrosos.
43
+ - Teaching coding effectively is impossible unless teachers are trained appropriately
44
+ first.
45
+ - source_sentence: Animals have innate, individual rights, which are taken away when
46
+ they are killed or made to suffer.
47
  sentences:
48
+ - Animals have a desire to live.
49
+ - Uno de los ejemplos más claros es la falta de inversión reiterada al Corredor
50
+ Mediterráneo \(Algeciras-Valencia-Barcelona-Francia\), prioritario para la UE
51
+ y Catalunya, pero relegado a algo residual por el estado Español.
52
+ - A vegan society would equate humans rights with animal rights, which would make
53
+ society worse off overall.
54
+ - source_sentence: The sorts of people likely to lash out against affirmative action
55
+ policies probably already hold negative views towards racial minorities.
56
  sentences:
57
+ - The Far Right movement sees the inequality affirmative action addresses not as
58
+ a problem to be solved, but as an outcome to be desired.
59
+ - There are plenty of people who hold a positive view towards racial minorities
60
+ and still oppose affirmative action.
61
+ - Research has shown that college degrees have less economic utility for people
62
+ from low socio-economic backgrounds.
63
  pipeline_tag: sentence-similarity
64
  library_name: sentence-transformers
65
  ---
 
114
  model = SentenceTransformer("sentence_transformers_model_id")
115
  # Run inference
116
  sentences = [
117
+ 'The sorts of people likely to lash out against affirmative action policies probably already hold negative views towards racial minorities.',
118
+ 'The Far Right movement sees the inequality affirmative action addresses not as a problem to be solved, but as an outcome to be desired.',
119
+ 'There are plenty of people who hold a positive view towards racial minorities and still oppose affirmative action.',
120
  ]
121
  embeddings = model.encode(sentences)
122
  print(embeddings.shape)
 
170
 
171
  #### Unnamed Dataset
172
 
173
+ * Size: 32,351 training samples
174
  * Columns: <code>anchor</code>, <code>positive</code>, and <code>negative</code>
175
  * Approximate statistics based on the first 1000 samples:
176
+ | | anchor | positive | negative |
177
+ |:--------|:-----------------------------------------------------------------------------------|:----------------------------------------------------------------------------------|:-----------------------------------------------------------------------------------|
178
+ | type | string | string | string |
179
+ | details | <ul><li>min: 6 tokens</li><li>mean: 30.94 tokens</li><li>max: 160 tokens</li></ul> | <ul><li>min: 6 tokens</li><li>mean: 40.8 tokens</li><li>max: 180 tokens</li></ul> | <ul><li>min: 6 tokens</li><li>mean: 44.95 tokens</li><li>max: 162 tokens</li></ul> |
180
  * Samples:
181
+ | anchor | positive | negative |
182
+ |:----------------------------------------------------------------------------------------------------|:-------------------------------------------------------------------------------------------------------------------------|:----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
183
+ | <code>La soberanía y la decisión sobre la unidad de España residen en el conjunto de España.</code> | <code>Apostar por un proceso de secesión es ir en contra de la globalización, la corriente histórica que vivimos.</code> | <code>Los tratados internacionales \(incluido el Tratado de La Unión Europea\) no serían aplicables a Cataluña como estado independiente, por lo que su permanencia en Europa podría verse interrumpida.</code> |
184
+ | <code>La soberanía y la decisión sobre la unidad de España residen en el conjunto de España.</code> | <code>Para sentar un precedente en conflictos de autodeterminación en el mundo.</code> | <code>La independencia de Cataluña afectaría negativamente a la economía de España.</code> |
185
+ | <code>La soberanía y la decisión sobre la unidad de España residen en el conjunto de España.</code> | <code>Para terminar con el trato injusto que recibe Cataluña al ser parte de España.</code> | <code>Por definición, cualquier nacionalismo es malo ya que crea divisiones artificiales y es fuente de conflictos.</code> |
186
  * Loss: [<code>TripletLoss</code>](https://sbert.net/docs/package_reference/sentence_transformer/losses.html#tripletloss) with these parameters:
187
  ```json
188
  {
189
  "distance_metric": "TripletDistanceMetric.COSINE",
190
+ "triplet_margin": 0.3
191
  }
192
  ```
193
 
 
315
  </details>
316
 
317
  ### Training Logs
318
+ | Epoch | Step | Training Loss |
319
+ |:------:|:----:|:-------------:|
320
+ | 0.1236 | 500 | 0.2178 |
321
+ | 0.2473 | 1000 | 0.1997 |
322
+ | 0.3709 | 1500 | 0.1829 |
323
+ | 0.4946 | 2000 | 0.1716 |
324
+ | 0.6182 | 2500 | 0.1586 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
325
 
326
 
327
  ### Framework Versions
 
330
  - Transformers: 4.48.3
331
  - PyTorch: 2.5.1+cu124
332
  - Accelerate: 1.3.0
333
+ - Datasets: 3.3.2
334
  - Tokenizers: 0.21.0
335
 
336
  ## Citation
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:b97f610cb1366754f40fbb3b2073107185e4061978007e89db2716895aee860e
3
  size 437967672
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:e790d84a0238f01bdb90713950fd89cd11f509b60431a2890ab0e8a5a5b8400d
3
  size 437967672
runs/Feb20_20-41-49_11b1a2b4f9ae/events.out.tfevents.1740084114.11b1a2b4f9ae.1333.0 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:8f54e1ba5bca8021379d7c6b9e58d22e26c71895fd403cd13157286e8fcc86cb
3
+ size 5430
training_args.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:59072cee6c460f5494470eef113e36b67cf5984ee85d45bab5c850defb856740
3
  size 5560
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:c9f972e0b8a2ea0dbf7d2679605e8174627db0bc9a9f15736036d98b3f1b03f5
3
  size 5560