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1 Parent(s): 31a19a9

End of training

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README.md CHANGED
@@ -3,7 +3,7 @@ license: apache-2.0
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  tags:
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  - generated_from_trainer
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  datasets:
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- - test_data
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  metrics:
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  - f1
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  model-index:
@@ -13,15 +13,15 @@ model-index:
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  name: Text Classification
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  type: text-classification
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  dataset:
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- name: test_data
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- type: test_data
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  config: default
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  split: test
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  args: default
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  metrics:
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  - name: F1
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  type: f1
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- value: 0.6759600753101386
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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
@@ -29,10 +29,10 @@ should probably proofread and complete it, then remove this comment. -->
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  # test_model
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- This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the test_data dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.7513
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- - F1: 0.6760
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  ## Model description
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@@ -52,7 +52,7 @@ More information needed
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  The following hyperparameters were used during training:
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  - learning_rate: 0.0001
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- - train_batch_size: 64
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  - eval_batch_size: 16
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
@@ -63,9 +63,9 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|
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- | No log | 1.0 | 24 | 1.3216 | 0.6254 |
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- | No log | 2.0 | 48 | 0.9484 | 0.6670 |
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- | No log | 3.0 | 72 | 0.7513 | 0.6760 |
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  ### Framework versions
 
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  tags:
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  - generated_from_trainer
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  datasets:
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+ - test_data_huggingface
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  metrics:
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  - f1
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  model-index:
 
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  name: Text Classification
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  type: text-classification
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  dataset:
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+ name: test_data_huggingface
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+ type: test_data_huggingface
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  config: default
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  split: test
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  args: default
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  metrics:
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  - name: F1
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  type: f1
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+ value: 0.8838734406601743
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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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  # test_model
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+ This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the test_data_huggingface dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.6090
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+ - F1: 0.8839
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  ## Model description
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  The following hyperparameters were used during training:
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  - learning_rate: 0.0001
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+ - train_batch_size: 32
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  - eval_batch_size: 16
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 
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  | Training Loss | Epoch | Step | Validation Loss | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|
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+ | No log | 1.0 | 47 | 0.8159 | 0.6409 |
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+ | No log | 2.0 | 94 | 0.5982 | 0.8567 |
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+ | No log | 3.0 | 141 | 0.6090 | 0.8839 |
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  ### Framework versions
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