Model save

README.md

@@ -19,15 +19,15 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [google/pegasus-xsum](https://huggingface.co/google/pegasus-xsum) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.6991
-- Rouge1: 0.4572
-- Rouge2: 0.2103
-- Rougel: 0.3743
-- Rougelsum: 0.3742
-- Gen Len: 26.3378
-- Precision: 0.909
-- Recall: 0.9067
-- F1: 0.9076
+- Loss: 1.6796
+- Rouge1: 0.4613
+- Rouge2: 0.2127
+- Rougel: 0.3775
+- Rougelsum: 0.3772
+- Gen Len: 26.4655
+- Precision: 0.9092
+- Recall: 0.9073
+- F1: 0.9081
 
 ## Model description
 
@@ -54,7 +54,7 @@ The following hyperparameters were used during training:
 - total_train_batch_size: 128
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 6
+- num_epochs: 8
 - mixed_precision_training: Native AMP
 
 ### Training results
@@ -64,9 +64,11 @@ The following hyperparameters were used during training:
 | No log        | 1.0   | 390  | 0.9034 | 26.2967 | 1.8258          | 0.9049    | 0.9023 | 0.4338 | 0.1906 | 0.3496 | 0.3498    |
 | 2.1621        | 2.0   | 781  | 0.9054 | 26.2727 | 1.7537          | 0.9068    | 0.9044 | 0.4449 | 0.2005 | 0.3633 | 0.3633    |
 | 1.8794        | 3.0   | 1172 | 0.9066 | 26.4345 | 1.7268          | 0.9078    | 0.9058 | 0.4518 | 0.2061 | 0.3696 | 0.3695    |
-| 1.8271        | 4.0   | 1560 | 1.7157 | 0.4539  | 0.2075          | 0.3716    | 0.3714 | 26.3971| 0.9082 | 0.906  | 0.9069    |
-| 1.8271        | 5.0   | 1951 | 1.7033 | 0.4561  | 0.2098          | 0.3735    | 0.3734 | 26.3015| 0.9087 | 0.9065 | 0.9074    |
-| 1.8067        | 5.99  | 2340 | 1.6991 | 0.4572  | 0.2103          | 0.3743    | 0.3742 | 26.3378| 0.909  | 0.9067 | 0.9076    |
+| 1.8271        | 4.0   | 1560 | 0.9069 | 26.3971 | 1.7157          | 0.9082    | 0.906  | 0.4539 | 0.2075 | 0.3716 | 0.3714    |
+| 1.8271        | 5.0   | 1951 | 0.9074 | 26.3015 | 1.7033          | 0.9087    | 0.9065 | 0.4561 | 0.2098 | 0.3735 | 0.3734    |
+| 1.8067        | 6.0   | 2340 | 1.6897 | 0.4592  | 0.2114          | 0.3762    | 0.3759 | 26.4389| 0.9089 | 0.9069 | 0.9077    |
+| 1.7833        | 7.0   | 2731 | 1.6819 | 0.4598  | 0.2115          | 0.3764    | 0.376  | 26.3745| 0.9092 | 0.9071 | 0.9079    |
+| 1.7683        | 7.99  | 3120 | 1.6796 | 0.4613  | 0.2127          | 0.3775    | 0.3772 | 26.4655| 0.9092 | 0.9073 | 0.9081    |
 
 
 ### Framework versions

model.safetensors

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runs/Mar02_15-40-53_oi5vv8ctr1709312124223-tkfr5/events.out.tfevents.1709365268.oi5vv8ctr1709312124223-tkfr5.9182.0

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