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
Model card Files Metrics Community
hmm404 commited on
Commit
fbc4468
·
verified ·
1 Parent(s): 77862bf

full_data

Browse files
Files changed (5) hide show
  1. README.md +65 -7
  2. model.safetensors +1 -1
  3. runs/Feb20_23-57-10_c4d6b74f6ef5/events.out.tfevents.1740095850.c4d6b74f6ef5.2977.0 +3 -0
  4. runs/Feb20_23-58-17_c4d6b74f6ef5/events.out.tfevents.1740095945.c4d6b74f6ef5.2977.1 +3 -0
  5. training_args.bin +1 -1
README.md CHANGED
@@ -62,6 +62,24 @@ widget:
62
  from low socio-economic backgrounds.
63
  pipeline_tag: sentence-similarity
64
  library_name: sentence-transformers
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
65
  ---
66
 
67
  # SentenceTransformer based on sentence-transformers/all-mpnet-base-v2
@@ -152,6 +170,26 @@ You can finetune this model on your own dataset.
152
  *List how the model may foreseeably be misused and address what users ought not to do with the model.*
153
  -->
154
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
155
  <!--
156
  ## Bias, Risks and Limitations
157
 
@@ -315,13 +353,33 @@ You can finetune this model on your own dataset.
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
 
62
  from low socio-economic backgrounds.
63
  pipeline_tag: sentence-similarity
64
  library_name: sentence-transformers
65
+ metrics:
66
+ - cosine_accuracy
67
+ model-index:
68
+ - name: SentenceTransformer based on sentence-transformers/all-mpnet-base-v2
69
+ results:
70
+ - task:
71
+ type: triplet
72
+ name: Triplet
73
+ dataset:
74
+ name: Unknown
75
+ type: unknown
76
+ metrics:
77
+ - type: cosine_accuracy
78
+ value: 0.9264069199562073
79
+ name: Cosine Accuracy
80
+ - type: cosine_accuracy
81
+ value: 0.9161931872367859
82
+ name: Cosine Accuracy
83
  ---
84
 
85
  # SentenceTransformer based on sentence-transformers/all-mpnet-base-v2
 
170
  *List how the model may foreseeably be misused and address what users ought not to do with the model.*
171
  -->
172
 
173
+ ## Evaluation
174
+
175
+ ### Metrics
176
+
177
+ #### Triplet
178
+
179
+ * Evaluated with [<code>TripletEvaluator</code>](https://sbert.net/docs/package_reference/sentence_transformer/evaluation.html#sentence_transformers.evaluation.TripletEvaluator)
180
+
181
+ | Metric | Value |
182
+ |:--------------------|:-----------|
183
+ | **cosine_accuracy** | **0.9264** |
184
+
185
+ #### Triplet
186
+
187
+ * Evaluated with [<code>TripletEvaluator</code>](https://sbert.net/docs/package_reference/sentence_transformer/evaluation.html#sentence_transformers.evaluation.TripletEvaluator)
188
+
189
+ | Metric | Value |
190
+ |:--------------------|:-----------|
191
+ | **cosine_accuracy** | **0.9162** |
192
+
193
  <!--
194
  ## Bias, Risks and Limitations
195
 
 
353
  </details>
354
 
355
  ### Training Logs
356
+ | Epoch | Step | Training Loss | cosine_accuracy |
357
+ |:------:|:-----:|:-------------:|:---------------:|
358
+ | 0.1236 | 500 | 0.1872 | - |
359
+ | 0.2473 | 1000 | 0.1954 | - |
360
+ | 0.3709 | 1500 | 0.1854 | - |
361
+ | 0.4946 | 2000 | 0.1891 | - |
362
+ | 0.6182 | 2500 | 0.181 | - |
363
+ | 0.7418 | 3000 | 0.1794 | - |
364
+ | 0.8655 | 3500 | 0.1815 | - |
365
+ | 0.9891 | 4000 | 0.1736 | - |
366
+ | 1.1128 | 4500 | 0.1342 | - |
367
+ | 1.2364 | 5000 | 0.1297 | - |
368
+ | 1.3600 | 5500 | 0.1318 | - |
369
+ | 1.4837 | 6000 | 0.1255 | - |
370
+ | 1.6073 | 6500 | 0.128 | - |
371
+ | 1.7310 | 7000 | 0.1233 | - |
372
+ | 1.8546 | 7500 | 0.1221 | - |
373
+ | 1.9782 | 8000 | 0.1232 | - |
374
+ | 2.1019 | 8500 | 0.0841 | - |
375
+ | 2.2255 | 9000 | 0.0757 | - |
376
+ | 2.3492 | 9500 | 0.0764 | - |
377
+ | 2.4728 | 10000 | 0.0761 | - |
378
+ | 2.5964 | 10500 | 0.0726 | - |
379
+ | 2.7201 | 11000 | 0.0644 | - |
380
+ | 2.8437 | 11500 | 0.073 | - |
381
+ | 2.9674 | 12000 | 0.0725 | - |
382
+ | -1 | -1 | - | 0.9162 |
383
 
384
 
385
  ### Framework Versions
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:e790d84a0238f01bdb90713950fd89cd11f509b60431a2890ab0e8a5a5b8400d
3
  size 437967672
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:7e2f677891e8d67ad09844440fd0eee90a799343209d6f8efcadcc9b19eeb457
3
  size 437967672
runs/Feb20_23-57-10_c4d6b74f6ef5/events.out.tfevents.1740095850.c4d6b74f6ef5.2977.0 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:6e1502e5e66f9f4b58b2839c296c77247a1a0ca608aaadcce18b2ec92cd59798
3
+ size 4375
runs/Feb20_23-58-17_c4d6b74f6ef5/events.out.tfevents.1740095945.c4d6b74f6ef5.2977.1 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:19e5f1d8e4be07748733a82f7bd4ed3e3eba1205d939c91f316fc677ee6c30b0
3
+ size 9793
training_args.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:c9f972e0b8a2ea0dbf7d2679605e8174627db0bc9a9f15736036d98b3f1b03f5
3
  size 5560
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:e963d4e69f206c10d59ff7c5c6ca60c80815c4ba250d2a90c6629e88913a2b95
3
  size 5560