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End of training

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README.md CHANGED
@@ -5,9 +5,24 @@ tags:
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  - generated_from_trainer
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  datasets:
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  - govreport-summarization
 
 
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  model-index:
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  - name: govreport-summarization
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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
@@ -16,6 +31,13 @@ should probably proofread and complete it, then remove this comment. -->
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  # govreport-summarization
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  This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the govreport-summarization dataset.
 
 
 
 
 
 
 
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  ## Model description
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@@ -40,13 +62,16 @@ 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: 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 | 49 | 2.4725 | 0.1574 | 0.0679 | 0.1304 | 0.1305 | 19.0 |
 
 
 
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  ### Framework versions
 
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  - generated_from_trainer
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  datasets:
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  - govreport-summarization
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+ metrics:
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+ - rouge
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  model-index:
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  - name: govreport-summarization
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+ results:
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+ - task:
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+ name: Sequence-to-sequence Language Modeling
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+ type: text2text-generation
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+ dataset:
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+ name: govreport-summarization
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+ type: govreport-summarization
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+ config: document
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+ split: train[:17000]
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+ args: document
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+ metrics:
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+ - name: Rouge1
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+ type: rouge
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+ value: 0.1673
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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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  # govreport-summarization
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  This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the govreport-summarization dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 2.2117
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+ - Rouge1: 0.1673
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+ - Rouge2: 0.0792
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+ - Rougel: 0.1398
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+ - Rougelsum: 0.1398
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+ - Gen Len: 19.0
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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: 4
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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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+ | 2.6565 | 1.0 | 850 | 2.3189 | 0.164 | 0.0744 | 0.1364 | 0.1365 | 19.0 |
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+ | 2.3913 | 2.0 | 1700 | 2.2522 | 0.1656 | 0.0766 | 0.1379 | 0.138 | 19.0 |
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+ | 2.2813 | 3.0 | 2550 | 2.2187 | 0.1669 | 0.0779 | 0.1393 | 0.1394 | 19.0 |
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+ | 2.2273 | 4.0 | 3400 | 2.2117 | 0.1673 | 0.0792 | 0.1398 | 0.1398 | 19.0 |
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  ### Framework versions
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