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alignment-score-model

Text Classification
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text-embeddings-inference
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  1. README.md +5 -16
  2. final/model.safetensors +1 -1
  3. final/training_args.bin +1 -1
README.md CHANGED
@@ -4,10 +4,6 @@ license: apache-2.0
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  base_model: Snowflake/snowflake-arctic-embed-m-v1.5
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  tags:
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  - generated_from_trainer
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- metrics:
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- - precision
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- - recall
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- - accuracy
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  model-index:
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  - name: alignment-score-model
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  results: []
@@ -19,12 +15,6 @@ should probably proofread and complete it, then remove this comment. -->
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  # alignment-score-model
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  This model is a fine-tuned version of [Snowflake/snowflake-arctic-embed-m-v1.5](https://huggingface.co/Snowflake/snowflake-arctic-embed-m-v1.5) on the None dataset.
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- It achieves the following results on the evaluation set:
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- - Loss: 0.4233
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- - Precision: 0.2449
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- - Recall: 0.5
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- - F1 Macro: 0.3288
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- - Accuracy: 0.4898
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  ## Model description
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@@ -43,20 +33,19 @@ More information needed
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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- - learning_rate: 3e-06
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  - train_batch_size: 256
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  - eval_batch_size: 128
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  - seed: 0
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  - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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  - lr_scheduler_type: linear
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- - num_epochs: 3
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 Macro | Accuracy |
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- |:-------------:|:------:|:----:|:---------------:|:---------:|:------:|:--------:|:--------:|
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- | No log | 0 | 0 | 0.6519 | 0.2449 | 0.5 | 0.3288 | 0.4898 |
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- | No log | 1.7241 | 50 | 0.4233 | 0.2449 | 0.5 | 0.3288 | 0.4898 |
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  ### Framework versions
 
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  base_model: Snowflake/snowflake-arctic-embed-m-v1.5
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  tags:
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  - generated_from_trainer
 
 
 
 
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  model-index:
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  - name: alignment-score-model
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  results: []
 
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  # alignment-score-model
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  This model is a fine-tuned version of [Snowflake/snowflake-arctic-embed-m-v1.5](https://huggingface.co/Snowflake/snowflake-arctic-embed-m-v1.5) on the None dataset.
 
 
 
 
 
 
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  ## Model description
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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+ - learning_rate: 3e-05
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  - train_batch_size: 256
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  - eval_batch_size: 128
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  - seed: 0
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  - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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  - lr_scheduler_type: linear
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+ - num_epochs: 1
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 Macro | Accuracy |
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+ |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:--------:|:--------:|
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+ | No log | 0 | 0 | 0.4495 | 0.2449 | 0.5 | 0.3288 | 0.4898 |
 
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  ### Framework versions
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