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mateiaassAI
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teacher_sst2_laroseda

Text Classification
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bert
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End of training

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Files changed (3) hide show
  1. README.md +12 -12
  2. model.safetensors +1 -1
  3. training_args.bin +1 -1
README.md CHANGED
@@ -26,16 +26,16 @@ model-index:
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  metrics:
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  - name: F1
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  type: f1
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- value: 0.94999799979998
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  - name: Accuracy
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  type: accuracy
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- value: 0.95
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  - name: Precision
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  type: precision
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- value: 0.9500264051754143
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  - name: Recall
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  type: recall
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- value: 0.95
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -45,12 +45,12 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [mateiaassAI/teacher_sst2](https://huggingface.co/mateiaassAI/teacher_sst2) on the laroseda dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.1071
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- - F1: 0.9500
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  - Roc Auc: None
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- - Accuracy: 0.95
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- - Precision: 0.9500
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- - Recall: 0.95
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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: 2e-05
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  - train_batch_size: 16
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  - eval_batch_size: 16
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  - seed: 42
@@ -81,8 +81,8 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | F1 | Roc Auc | Accuracy | Precision | Recall |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|:--------:|:---------:|:------:|
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- | 0.1337 | 1.0 | 688 | 0.0895 | 0.9510 | None | 0.951 | 0.9513 | 0.951 |
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- | 0.0707 | 2.0 | 1376 | 0.1071 | 0.9500 | None | 0.95 | 0.9500 | 0.95 |
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  ### Framework versions
 
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  metrics:
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  - name: F1
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  type: f1
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+ value: 0.9404702200759214
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  - name: Accuracy
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  type: accuracy
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+ value: 0.94
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  - name: Precision
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  type: precision
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+ value: 0.9409527317913978
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  - name: Recall
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  type: recall
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+ value: 0.94
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
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  This model is a fine-tuned version of [mateiaassAI/teacher_sst2](https://huggingface.co/mateiaassAI/teacher_sst2) on the laroseda dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.1207
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+ - F1: 0.9405
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  - Roc Auc: None
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+ - Accuracy: 0.94
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+ - Precision: 0.9410
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+ - Recall: 0.94
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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: 1e-05
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  - train_batch_size: 16
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  - eval_batch_size: 16
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  - seed: 42
 
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  | Training Loss | Epoch | Step | Validation Loss | F1 | Roc Auc | Accuracy | Precision | Recall |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|:--------:|:---------:|:------:|
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+ | 0.1484 | 1.0 | 688 | 0.1006 | 0.9420 | None | 0.942 | 0.9420 | 0.942 |
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+ | 0.0816 | 2.0 | 1376 | 0.1207 | 0.9405 | None | 0.94 | 0.9410 | 0.94 |
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  ### Framework versions
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