Training complete

README.md

@@ -23,7 +23,7 @@ model-index:
     metrics:
     - name: Rouge1
       type: rouge
-      value: 0.0706
+      value: 0.0524
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -33,11 +33,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on the xsum dataset.
 It achieves the following results on the evaluation set:
-- Loss: 5.4800
-- Rouge1: 0.0706
-- Rouge2: 0.0067
-- Rougel: 0.058
-- Rougelsum: 0.0654
+- Loss: 8.0085
+- Rouge1: 0.0524
+- Rouge2: 0.0083
+- Rougel: 0.0416
+- Rougelsum: 0.0416
 
 ## Model description
 
@@ -57,8 +57,8 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 5.6e-05
-- train_batch_size: 8
-- eval_batch_size: 8
+- train_batch_size: 32
+- eval_batch_size: 32
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
@@ -68,14 +68,14 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
 |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|
-| No log        | 1.0   | 13   | 7.7221          | 0.0369 | 0.0    | 0.0369 | 0.0366    |
-| No log        | 2.0   | 26   | 7.1952          | 0.0448 | 0.0    | 0.0452 | 0.0449    |
-| No log        | 3.0   | 39   | 6.5146          | 0.0442 | 0.0    | 0.0443 | 0.044     |
-| 12.6754       | 4.0   | 52   | 6.2530          | 0.0745 | 0.008  | 0.0636 | 0.0679    |
-| 12.6754       | 5.0   | 65   | 6.0200          | 0.0745 | 0.0069 | 0.0642 | 0.0693    |
-| 12.6754       | 6.0   | 78   | 5.7336          | 0.0706 | 0.0067 | 0.058  | 0.0654    |
-| 12.6754       | 7.0   | 91   | 5.5400          | 0.0706 | 0.0067 | 0.058  | 0.0654    |
-| 9.1744        | 8.0   | 104  | 5.4800          | 0.0706 | 0.0067 | 0.058  | 0.0654    |
+| No log        | 1.0   | 4    | 12.7017         | 0.0208 | 0.0    | 0.0148 | 0.0148    |
+| No log        | 2.0   | 8    | 10.3879         | 0.0208 | 0.0    | 0.0148 | 0.0148    |
+| 18.6837       | 3.0   | 12   | 9.1367          | 0.0208 | 0.0    | 0.0148 | 0.0148    |
+| 18.6837       | 4.0   | 16   | 8.6067          | 0.0269 | 0.0    | 0.0209 | 0.0209    |
+| 18.6837       | 5.0   | 20   | 8.2033          | 0.0377 | 0.0    | 0.026  | 0.0256    |
+| 15.292        | 6.0   | 24   | 8.1000          | 0.0524 | 0.0083 | 0.0416 | 0.0416    |
+| 15.292        | 7.0   | 28   | 8.0750          | 0.0524 | 0.0083 | 0.0416 | 0.0416    |
+| 15.292        | 8.0   | 32   | 8.0085          | 0.0524 | 0.0083 | 0.0416 | 0.0416    |
 
 
 ### Framework versions

model.safetensors

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training_args.bin

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