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run1

Text2Text Generation
Transformers
Safetensors
t5
Generated from Trainer
Eval Results
Inference Endpoints
text-generation-inference
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  1. README.md +21 -22
  2. model.safetensors +1 -1
README.md CHANGED
@@ -1,6 +1,5 @@
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  ---
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- license: mit
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- base_model: emilyalsentzer/Bio_ClinicalBERT
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  tags:
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  - generated_from_trainer
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  datasets:
@@ -25,16 +24,16 @@ model-index:
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  metrics:
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  - name: Accuracy
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  type: accuracy
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- value: 0.6
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  - name: Precision
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  type: precision
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- value: 0.6000400160064026
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  - name: Recall
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  type: recall
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- value: 0.6
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  - name: F1
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  type: f1
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- value: 0.5999599959995999
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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
@@ -42,13 +41,13 @@ should probably proofread and complete it, then remove this comment. -->
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  # run1
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- This model is a fine-tuned version of [emilyalsentzer/Bio_ClinicalBERT](https://huggingface.co/emilyalsentzer/Bio_ClinicalBERT) on the sem_eval_2024_task_2 dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.6634
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- - Accuracy: 0.6
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- - Precision: 0.6000
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- - Recall: 0.6
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- - F1: 0.6000
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
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- | No log | 0.99 | 53 | 0.6935 | 0.515 | 0.5177 | 0.515 | 0.4958 |
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- | 0.7014 | 2.0 | 107 | 0.6895 | 0.535 | 0.5363 | 0.535 | 0.5308 |
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- | 0.7014 | 2.99 | 160 | 0.6894 | 0.52 | 0.5267 | 0.52 | 0.488 |
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- | 0.6961 | 4.0 | 214 | 0.6846 | 0.575 | 0.5842 | 0.575 | 0.5631 |
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- | 0.6961 | 4.99 | 267 | 0.6837 | 0.535 | 0.5931 | 0.535 | 0.4490 |
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- | 0.687 | 6.0 | 321 | 0.6762 | 0.585 | 0.5852 | 0.585 | 0.5847 |
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- | 0.687 | 6.99 | 374 | 0.6738 | 0.58 | 0.58 | 0.58 | 0.58 |
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- | 0.6707 | 8.0 | 428 | 0.6677 | 0.59 | 0.5900 | 0.59 | 0.5900 |
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- | 0.6707 | 8.99 | 481 | 0.6670 | 0.575 | 0.5767 | 0.575 | 0.5726 |
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- | 0.653 | 9.91 | 530 | 0.6634 | 0.6 | 0.6000 | 0.6 | 0.6000 |
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  ### Framework versions
 
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  ---
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+ base_model: medicalai/ClinicalBERT
 
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  tags:
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  - generated_from_trainer
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  datasets:
 
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  metrics:
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  - name: Accuracy
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  type: accuracy
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+ value: 0.505
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  - name: Precision
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  type: precision
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+ value: 0.5122819945959224
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  - name: Recall
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  type: recall
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+ value: 0.505
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  - name: F1
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  type: f1
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+ value: 0.41886061459892576
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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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  # run1
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+ This model is a fine-tuned version of [medicalai/ClinicalBERT](https://huggingface.co/medicalai/ClinicalBERT) on the sem_eval_2024_task_2 dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.6932
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+ - Accuracy: 0.505
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+ - Precision: 0.5123
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+ - Recall: 0.505
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+ - F1: 0.4189
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
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+ | No log | 0.99 | 53 | 0.6942 | 0.5 | 0.5 | 0.5 | 0.3420 |
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+ | 0.6934 | 2.0 | 107 | 0.6931 | 0.505 | 0.5072 | 0.505 | 0.4645 |
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+ | 0.6934 | 2.99 | 160 | 0.6945 | 0.5 | 0.25 | 0.5 | 0.3333 |
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+ | 0.6946 | 4.0 | 214 | 0.6933 | 0.495 | 0.4944 | 0.495 | 0.4809 |
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+ | 0.6946 | 4.99 | 267 | 0.6961 | 0.5 | 0.25 | 0.5 | 0.3333 |
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+ | 0.6949 | 6.0 | 321 | 0.6935 | 0.5 | 0.25 | 0.5 | 0.3333 |
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+ | 0.6949 | 6.99 | 374 | 0.6931 | 0.505 | 0.5070 | 0.505 | 0.4676 |
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+ | 0.6941 | 8.0 | 428 | 0.6933 | 0.495 | 0.2487 | 0.495 | 0.3311 |
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+ | 0.6941 | 8.99 | 481 | 0.6930 | 0.51 | 0.5106 | 0.51 | 0.5028 |
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+ | 0.692 | 9.91 | 530 | 0.6932 | 0.505 | 0.5123 | 0.505 | 0.4189 |
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  ### Framework versions
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