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joshcarp
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calendar_model

Text2Text Generation
Transformers
Safetensors
t5
Generated from Trainer
Inference Endpoints
text-generation-inference
Model card Files Community
joshcarp commited on
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End of training

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  1. README.md +5 -16
  2. model.safetensors +1 -1
  3. training_args.bin +1 -1
README.md CHANGED
@@ -3,8 +3,6 @@ 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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- metrics:
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- - rouge
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  model-index:
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  - name: calendar_model
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  results: []
@@ -16,13 +14,6 @@ should probably proofread and complete it, then remove this comment. -->
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  # calendar_model
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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: 12.6722
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- - Rouge1: 0.1767
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- - Rouge2: 0.0792
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- - Rougel: 0.1555
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- - Rougelsum: 0.1518
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- - Gen Len: 19.0
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  ## Model description
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@@ -41,21 +32,19 @@ More information needed
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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
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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: 3
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
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- | No log | 1.0 | 5 | 14.7700 | 0.2492 | 0.132 | 0.2098 | 0.2078 | 18.5 |
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- | No log | 2.0 | 10 | 13.2798 | 0.191 | 0.0841 | 0.171 | 0.1669 | 18.5 |
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- | No log | 3.0 | 15 | 12.6722 | 0.1767 | 0.0792 | 0.1555 | 0.1518 | 19.0 |
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  ### Framework versions
 
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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: calendar_model
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  results: []
 
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  # calendar_model
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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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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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+ - learning_rate: 5e-05
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+ - train_batch_size: 8
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+ - eval_batch_size: 8
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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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  | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
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+ | No log | 1.0 | 9 | 4.4162 | 0.2923 | 0.1682 | 0.248 | 0.2442 | 16.25 |
 
 
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  ### Framework versions
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