End of training

README.md

@@ -17,12 +17,12 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [google/flan-t5-small](https://huggingface.co/google/flan-t5-small) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 3.2489
-- Rouge1: 6.8925
-- Rouge2: 1.1939
-- Rougel: 5.5238
-- Rougelsum: 6.5019
-- Gen Len: 18.49
+- Loss: 3.1264
+- Rouge1: 7.7091
+- Rouge2: 1.308
+- Rougel: 6.1382
+- Rougelsum: 7.2391
+- Gen Len: 19.0
 
 ## Model description
 
@@ -42,8 +42,8 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 5e-05
-- train_batch_size: 4
-- eval_batch_size: 4
+- train_batch_size: 8
+- eval_batch_size: 8
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
@@ -53,11 +53,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
 |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
-| No log        | 1.0   | 25   | 3.2489          | 6.8925 | 1.1939 | 5.5238 | 6.5019    | 18.49   |
-| No log        | 2.0   | 50   | 3.2535          | 7.6184 | 1.4599 | 6.0722 | 7.1093    | 19.0    |
-| No log        | 3.0   | 75   | 3.2534          | 7.8128 | 1.4373 | 6.1752 | 7.2596    | 19.0    |
-| No log        | 4.0   | 100  | 3.2543          | 7.7283 | 1.4772 | 6.211  | 7.2451    | 19.0    |
-| No log        | 5.0   | 125  | 3.2549          | 7.7858 | 1.4535 | 6.2566 | 7.2875    | 19.0    |
+| No log        | 1.0   | 125  | 3.1340          | 6.9387 | 1.0696 | 5.7064 | 6.5921    | 18.998  |
+| No log        | 2.0   | 250  | 3.1286          | 7.3927 | 1.1818 | 5.9991 | 6.9879    | 19.0    |
+| No log        | 3.0   | 375  | 3.1285          | 7.7059 | 1.2952 | 6.1643 | 7.2308    | 19.0    |
+| 3.4857        | 4.0   | 500  | 3.1264          | 7.7091 | 1.308  | 6.1382 | 7.2391    | 19.0    |
+| 3.4857        | 5.0   | 625  | 3.1269          | 7.7705 | 1.3087 | 6.1761 | 7.3256    | 19.0    |
 
 
 ### Framework versions

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