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t5-base-med_CoT

Text2Text Generation
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t5
Generated from Trainer
text-generation-inference
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End of training

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Files changed (27) hide show
  1. README.md +9 -1
  2. generation_config.json +0 -1
  3. model.safetensors +1 -1
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  25. tokenizer.json +0 -0
  26. tokenizer_config.json +0 -3
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README.md CHANGED
@@ -3,6 +3,8 @@ license: apache-2.0
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  base_model: google-t5/t5-small
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  tags:
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  - generated_from_trainer
 
 
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  model-index:
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  - name: t5-base-med_CoT
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  results: []
@@ -14,6 +16,12 @@ should probably proofread and complete it, then remove this comment. -->
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  # t5-base-med_CoT
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  This model is a fine-tuned version of [google-t5/t5-small](https://huggingface.co/google-t5/t5-small) on an unknown dataset.
 
 
 
 
 
 
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  ## Model description
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@@ -38,7 +46,7 @@ The following hyperparameters were used during training:
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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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  - lr_scheduler_type: linear
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- - num_epochs: 2
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  ### Training results
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  base_model: google-t5/t5-small
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  tags:
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  - generated_from_trainer
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+ metrics:
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+ - rouge
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  model-index:
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  - name: t5-base-med_CoT
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  results: []
 
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  # t5-base-med_CoT
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  This model is a fine-tuned version of [google-t5/t5-small](https://huggingface.co/google-t5/t5-small) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.9979
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+ - Rouge1: 0.0400
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+ - Rouge2: 0.0255
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+ - Rougel: 0.0372
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+ - Exact Match: 0.0
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  ## Model description
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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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  - lr_scheduler_type: linear
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+ - num_epochs: 1
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  ### Training results
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