End of training

README.md

@@ -18,12 +18,12 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 2.8406
-- Rouge1: 19.6794
-- Rouge2: 3.8793
-- Rougel: 16.712
-- Rougelsum: 16.6918
-- Gen Len: 19.6
+- Loss: 2.9320
+- Rouge1: 19.4342
+- Rouge2: 3.1111
+- Rougel: 15.4989
+- Rougelsum: 16.1892
+- Gen Len: 20.0
 
 ## Model description
 
@@ -42,7 +42,7 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 3e-05
+- learning_rate: 2e-05
 - train_batch_size: 2
 - eval_batch_size: 2
 - seed: 42
@@ -55,8 +55,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2 | Rougel  | Rougelsum | Gen Len |
 |:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:|
-| No log        | 1.0   | 10   | 2.9172          | 19.3896 | 3.8268 | 17.1724 | 17.058    | 19.6    |
-| No log        | 2.0   | 20   | 2.8406          | 19.6794 | 3.8793 | 16.712  | 16.6918   | 19.6    |
+| No log        | 1.0   | 5    | 2.9732          | 19.536  | 3.1111 | 14.9596 | 16.2927   | 20.0    |
+| No log        | 2.0   | 10   | 2.9320          | 19.4342 | 3.1111 | 15.4989 | 16.1892   | 20.0    |
 
 
 ### Framework versions

model.safetensors

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training_args.bin

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