umarkhalid96
/

t5-small-train

text2text-generation

Generated from Trainer

text-generation-inference

Model card Files Files and versions

Metrics Training metrics Community

umarkhalid96 commited on Apr 29, 2022

Commit

bedd0fc

·

1 Parent(s): 9729e30

update model card README.md

Files changed (1) hide show

README.md +13 -13

README.md CHANGED Viewed

@@ -17,11 +17,11 @@ should probably proofread and complete it, then remove this comment. -->
 This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 2.3471
-- Rouge1: 41.0242
-- Rouge2: 19.337
-- Rougel: 36.0839
-- Rougelsum: 36.6467
 ## Model description
@@ -52,14 +52,14 @@ The following hyperparameters were used during training:
 | Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum |
 |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|
-| 3.1572        | 1.0   | 45   | 2.6835          | 33.9132 | 14.0293 | 29.7577 | 30.3774   |
-| 2.6239        | 2.0   | 90   | 2.4952          | 37.4638 | 16.3943 | 32.7409 | 32.9237   |
-| 2.3895        | 3.0   | 135  | 2.4129          | 38.4388 | 18.1436 | 34.3211 | 34.6526   |
-| 2.3312        | 4.0   | 180  | 2.3823          | 40.7946 | 19.4997 | 35.9918 | 36.3853   |
-| 2.279         | 5.0   | 225  | 2.3637          | 41.4433 | 20.0384 | 37.0637 | 37.4853   |
-| 2.2115        | 6.0   | 270  | 2.3553          | 41.215  | 19.6974 | 36.6077 | 37.1543   |
-| 2.1477        | 7.0   | 315  | 2.3493          | 41.0707 | 19.5007 | 36.2399 | 36.7966   |
-| 2.1176        | 8.0   | 360  | 2.3471          | 41.0242 | 19.337  | 36.0839 | 36.6467   |
 ### Framework versions

 This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown dataset.
 It achieves the following results on the evaluation set:
+- Loss: 2.2585
+- Rouge1: 42.0138
+- Rouge2: 20.3824
+- Rougel: 35.9226
+- Rougelsum: 36.4098
 ## Model description
 | Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum |
 |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|
+| 3.2084        | 1.0   | 45   | 2.6096          | 36.0641 | 16.1726 | 30.6534 | 31.2208   |
+| 2.6719        | 2.0   | 90   | 2.4144          | 38.3223 | 18.4622 | 33.0386 | 33.3649   |
+| 2.4664        | 3.0   | 135  | 2.3387          | 40.8019 | 20.132  | 35.562  | 35.8487   |
+| 2.3179        | 4.0   | 180  | 2.2973          | 41.4508 | 20.0392 | 35.4371 | 35.8095   |
+| 2.339         | 5.0   | 225  | 2.2793          | 41.9099 | 19.851  | 35.7856 | 36.2254   |
+| 2.2179        | 6.0   | 270  | 2.2664          | 41.8293 | 19.758  | 35.6159 | 36.0451   |
+| 2.2663        | 7.0   | 315  | 2.2593          | 41.9407 | 19.8932 | 35.8745 | 36.316    |
+| 2.142         | 8.0   | 360  | 2.2585          | 42.0138 | 20.3824 | 35.9226 | 36.4098   |
 ### Framework versions