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test_falcon_model_learning

Text Classification
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bert
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text-embeddings-inference
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rcade/test_falcon_model_learning

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Files changed (3) hide show
  1. README.md +9 -9
  2. model.safetensors +1 -1
  3. runs/Jan25_09-36-14_ip-172-31-57-128/events.out.tfevents.1706175385.ip-172-31-57-128.18108.0 +2 -2
README.md CHANGED
@@ -1,26 +1,26 @@
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  ---
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  license: apache-2.0
 
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  tags:
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  - generated_from_trainer
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  metrics:
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  - accuracy
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  - f1
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- base_model: bert-base-cased
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  model-index:
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- - name: finetuned-bert-mrpc
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  results: []
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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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  should probably proofread and complete it, then remove this comment. -->
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- # finetuned-bert-mrpc
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  This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.4277
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- - Accuracy: 0.8676
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- - F1: 0.9075
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  ## Model description
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@@ -51,9 +51,9 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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- | 0.5745 | 1.0 | 230 | 0.4498 | 0.8088 | 0.8577 |
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- | 0.3784 | 2.0 | 460 | 0.4163 | 0.8505 | 0.8995 |
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- | 0.2217 | 3.0 | 690 | 0.4277 | 0.8676 | 0.9075 |
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  ### Framework versions
 
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  ---
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  license: apache-2.0
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+ base_model: bert-base-cased
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  tags:
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  - generated_from_trainer
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  metrics:
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  - accuracy
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  - f1
 
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  model-index:
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+ - name: test_falcon_model_learning
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  results: []
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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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  should probably proofread and complete it, then remove this comment. -->
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+ # test_falcon_model_learning
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  This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.4666
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+ - Accuracy: 0.8333
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+ - F1: 0.8832
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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+ | 0.5491 | 1.0 | 230 | 0.4561 | 0.7990 | 0.8673 |
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+ | 0.3059 | 2.0 | 460 | 0.4218 | 0.8309 | 0.8840 |
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+ | 0.1573 | 3.0 | 690 | 0.4666 | 0.8333 | 0.8832 |
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  ### Framework versions
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