Model save

README.md

@@ -1,6 +1,4 @@
 ---
-license: apache-2.0
-base_model: google/flan-T5-small
 tags:
 - generated_from_trainer
 metrics:
@@ -15,14 +13,14 @@ should probably proofread and complete it, then remove this comment. -->
 
 # flanT5_small_title_desc_gen4
 
-This model is a fine-tuned version of [google/flan-T5-small](https://huggingface.co/google/flan-T5-small) on the None dataset.
+This model was trained from scratch on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.1283
-- Rouge1: 4.447
-- Rouge2: 3.2302
-- Rougel: 4.0176
-- Rougelsum: 4.0597
-- Gen Len: 11.3854
+- Loss: 0.6014
+- Rouge1: 2.7656
+- Rouge2: 1.2373
+- Rougel: 2.27
+- Rougelsum: 2.3229
+- Gen Len: 17.1667
 
 ## Model description
 
@@ -53,16 +51,16 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
 |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
-| No log        | 1.0   | 108  | 4.2973          | 5.3985 | 4.5636 | 5.0416 | 5.0367    | 7.3021  |
-| No log        | 2.0   | 216  | 3.2800          | 5.8103 | 4.9597 | 5.4948 | 5.4876    | 6.4167  |
-| No log        | 3.0   | 324  | 2.5286          | 4.9443 | 3.8658 | 4.534  | 4.5345    | 9.6667  |
-| No log        | 4.0   | 432  | 1.9899          | 4.1384 | 3.1166 | 3.7682 | 3.7698    | 11.5    |
-| 5.8724        | 5.0   | 540  | 1.6340          | 3.6355 | 2.6121 | 3.2499 | 3.2765    | 12.7396 |
-| 5.8724        | 6.0   | 648  | 1.4134          | 3.9928 | 2.8763 | 3.5713 | 3.5943    | 12.1354 |
-| 5.8724        | 7.0   | 756  | 1.2781          | 4.2661 | 3.1017 | 3.8205 | 3.8551    | 11.6042 |
-| 5.8724        | 8.0   | 864  | 1.1971          | 4.4909 | 3.2823 | 4.0525 | 4.0927    | 11.1979 |
-| 5.8724        | 9.0   | 972  | 1.1413          | 4.4713 | 3.2586 | 4.03   | 4.0676    | 11.3229 |
-| 1.7655        | 10.0  | 1080 | 1.1283          | 4.447  | 3.2302 | 4.0176 | 4.0597    | 11.3854 |
+| No log        | 1.0   | 108  | 0.9428          | 4.2395 | 2.8932 | 3.752  | 3.8235    | 12.1979 |
+| No log        | 2.0   | 216  | 0.8406          | 3.2873 | 1.8803 | 2.7746 | 2.8684    | 14.9479 |
+| No log        | 3.0   | 324  | 0.7626          | 3.0511 | 1.5565 | 2.535  | 2.6178    | 16.0625 |
+| No log        | 4.0   | 432  | 0.7117          | 2.7859 | 1.3242 | 2.2739 | 2.3331    | 16.6979 |
+| 1.1608        | 5.0   | 540  | 0.6728          | 2.493  | 0.9561 | 1.9535 | 2.0105    | 17.625  |
+| 1.1608        | 6.0   | 648  | 0.6452          | 2.5539 | 1.0342 | 2.0547 | 2.1008    | 17.5625 |
+| 1.1608        | 7.0   | 756  | 0.6238          | 2.8349 | 1.2996 | 2.3204 | 2.3663    | 16.9688 |
+| 1.1608        | 8.0   | 864  | 0.6113          | 2.8097 | 1.2806 | 2.3124 | 2.3623    | 17.0833 |
+| 1.1608        | 9.0   | 972  | 0.6043          | 2.7542 | 1.2338 | 2.2593 | 2.3073    | 17.1979 |
+| 0.8599        | 10.0  | 1080 | 0.6014          | 2.7656 | 1.2373 | 2.27   | 2.3229    | 17.1667 |
 
 
 ### Framework versions

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