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LamaDiab
/
V7MiniLM-Synonyms-SemanticEngine

Sentence Similarity
sentence-transformers
Safetensors
bert
feature-extraction
dense
Generated from Trainer
dataset_size:683
loss:MultipleNegativesSymmetricRankingLoss
text-embeddings-inference
Model card Files
xet
Community
LamaDiab commited on
Commit
06e77dc
·
verified ·
1 Parent(s): 85f4b58

Training in progress, epoch 1

Browse files
Files changed (4) hide show
  1. final/README.md +8 -8
  2. final/model.safetensors +1 -1
  3. model.safetensors +1 -1
  4. training_args.bin +1 -1
final/README.md CHANGED
@@ -98,9 +98,9 @@ print(embeddings.shape)
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  # Get the similarity scores for the embeddings
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  similarities = model.similarity(embeddings, embeddings)
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  print(similarities)
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- # tensor([[1.0000, 0.9074, 0.4663],
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- # [0.9074, 1.0000, 0.4557],
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- # [0.4663, 0.4557, 1.0000]])
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  ```
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  <!--
@@ -170,7 +170,7 @@ You can finetune this model on your own dataset.
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  ### Training Hyperparameters
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  #### Non-Default Hyperparameters
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- - `per_device_train_batch_size`: 32
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  - `per_device_eval_batch_size`: 16
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  - `learning_rate`: 2e-05
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  - `weight_decay`: 0.001
@@ -192,7 +192,7 @@ You can finetune this model on your own dataset.
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  - `do_predict`: False
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  - `eval_strategy`: no
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  - `prediction_loss_only`: True
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- - `per_device_train_batch_size`: 32
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  - `per_device_eval_batch_size`: 16
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  - `per_gpu_train_batch_size`: None
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  - `per_gpu_eval_batch_size`: None
@@ -311,9 +311,9 @@ You can finetune this model on your own dataset.
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  ### Training Logs
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  | Epoch | Step | Training Loss |
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  |:------:|:----:|:-------------:|
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- | 0.0455 | 1 | 3.3947 |
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- | 1.0 | 22 | 2.7163 |
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- | 2.0 | 44 | 2.2736 |
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  ### Framework Versions
 
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  # Get the similarity scores for the embeddings
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  similarities = model.similarity(embeddings, embeddings)
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  print(similarities)
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+ # tensor([[1.0000, 0.9069, 0.4847],
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+ # [0.9069, 1.0000, 0.4705],
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+ # [0.4847, 0.4705, 1.0000]])
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  ```
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  <!--
 
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  ### Training Hyperparameters
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  #### Non-Default Hyperparameters
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+ - `per_device_train_batch_size`: 16
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  - `per_device_eval_batch_size`: 16
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  - `learning_rate`: 2e-05
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  - `weight_decay`: 0.001
 
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  - `do_predict`: False
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  - `eval_strategy`: no
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  - `prediction_loss_only`: True
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+ - `per_device_train_batch_size`: 16
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  - `per_device_eval_batch_size`: 16
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  - `per_gpu_train_batch_size`: None
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  - `per_gpu_eval_batch_size`: None
 
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  ### Training Logs
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  | Epoch | Step | Training Loss |
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  |:------:|:----:|:-------------:|
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+ | 0.0233 | 1 | 2.5914 |
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+ | 1.0 | 43 | 2.1891 |
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+ | 2.0 | 86 | 1.7619 |
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  ### Framework Versions
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