End of training

README.md

@@ -3,8 +3,6 @@ license: apache-2.0
 base_model: Praveen76/FinetunedT5Model
 tags:
 - generated_from_trainer
-metrics:
-- rouge
 model-index:
 - name: T5Model_for_Ecommerce
   results: []
@@ -15,14 +13,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 # T5Model_for_Ecommerce
 
-This model is a fine-tuned version of [Praveen76/FinetunedT5Model](https://huggingface.co/Praveen76/FinetunedT5Model) on the None dataset.
-It achieves the following results on the evaluation set:
-- Loss: 0.9885
-- Rouge1: 0.0174
-- Rouge2: 0.0099
-- Rougel: 0.015
-- Rougelsum: 0.0152
-- Gen Len: 1.2315
+This model is a fine-tuned version of [Praveen76/FinetunedT5Model](https://huggingface.co/Praveen76/FinetunedT5Model) on an unknown dataset.
 
 ## Model description
 
@@ -47,32 +38,18 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 15
+- num_epochs: 1
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
 |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
-| No log        | 1.0   | 27   | 4.0222          | 0.2511 | 0.1346 | 0.2127 | 0.2129    | 19.0    |
-| No log        | 2.0   | 54   | 1.3044          | 0.0523 | 0.0289 | 0.045  | 0.0455    | 3.3426  |
-| No log        | 3.0   | 81   | 1.1630          | 0.0    | 0.0    | 0.0    | 0.0       | 0.0     |
-| No log        | 4.0   | 108  | 1.1426          | 0.0    | 0.0    | 0.0    | 0.0       | 0.0     |
-| No log        | 5.0   | 135  | 1.1215          | 0.0    | 0.0    | 0.0    | 0.0       | 0.0     |
-| No log        | 6.0   | 162  | 1.0999          | 0.0    | 0.0    | 0.0    | 0.0       | 0.0     |
-| No log        | 7.0   | 189  | 1.0730          | 0.0    | 0.0    | 0.0    | 0.0       | 0.0     |
-| No log        | 8.0   | 216  | 1.0504          | 0.0    | 0.0    | 0.0    | 0.0       | 0.0     |
-| No log        | 9.0   | 243  | 1.0334          | 0.0    | 0.0    | 0.0    | 0.0       | 0.0     |
-| No log        | 10.0  | 270  | 1.0186          | 0.0    | 0.0    | 0.0    | 0.0       | 0.0     |
-| No log        | 11.0  | 297  | 1.0069          | 0.0    | 0.0    | 0.0    | 0.0       | 0.0     |
-| No log        | 12.0  | 324  | 0.9985          | 0.0    | 0.0    | 0.0    | 0.0       | 0.0     |
-| No log        | 13.0  | 351  | 0.9927          | 0.0061 | 0.0035 | 0.0054 | 0.0059    | 0.3519  |
-| No log        | 14.0  | 378  | 0.9894          | 0.0174 | 0.0099 | 0.015  | 0.0152    | 1.2315  |
-| No log        | 15.0  | 405  | 0.9885          | 0.0174 | 0.0099 | 0.015  | 0.0152    | 1.2315  |
+| No log        | 1.0   | 10   | 1.7332          | 0.2114 | 0.0939 | 0.1756 | 0.176     | 18.8108 |
 
 
 ### Framework versions
 
 - Transformers 4.35.2
-- Pytorch 2.1.0+cu118
-- Datasets 2.15.0
-- Tokenizers 0.15.0
+- Pytorch 2.1.0+cu121
+- Datasets 2.17.0
+- Tokenizers 0.15.1

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