End of training

README.md

@@ -17,12 +17,12 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [google-t5/t5-small](https://huggingface.co/google-t5/t5-small) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.0120
-- Rouge1: 0.7424
-- Rouge2: 0.6202
-- Rougel: 0.7365
-- Rougelsum: 0.7347
-- Gen Len: 7.0385
+- Loss: 0.9966
+- Rouge1: 0.7313
+- Rouge2: 0.6085
+- Rougel: 0.7292
+- Rougelsum: 0.73
+- Gen Len: 6.9487
 
 ## Model description
 
@@ -47,20 +47,15 @@ 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: 8
+- num_epochs: 12
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
-|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
-| No log        | 1.0   | 132  | 1.2896          | 0.6823 | 0.5884 | 0.6755 | 0.6759    | 8.9744  |
-| No log        | 2.0   | 264  | 1.1210          | 0.7277 | 0.6094 | 0.7187 | 0.7176    | 7.5342  |
-| No log        | 3.0   | 396  | 1.0676          | 0.7358 | 0.6136 | 0.7287 | 0.7273    | 7.3077  |
-| 1.5149        | 4.0   | 528  | 1.0409          | 0.7462 | 0.6233 | 0.7386 | 0.7367    | 7.1368  |
-| 1.5149        | 5.0   | 660  | 1.0277          | 0.7464 | 0.6233 | 0.7387 | 0.7367    | 7.1068  |
-| 1.5149        | 6.0   | 792  | 1.0186          | 0.7463 | 0.6229 | 0.7383 | 0.7362    | 7.0769  |
-| 1.5149        | 7.0   | 924  | 1.0135          | 0.7423 | 0.6202 | 0.7364 | 0.7346    | 7.0427  |
-| 1.0709        | 8.0   | 1056 | 1.0120          | 0.7424 | 0.6202 | 0.7365 | 0.7347    | 7.0385  |
+| Training Loss | Epoch   | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
+|:-------------:|:-------:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
+| 1.692         | 3.7879  | 500  | 1.0552          | 0.7273 | 0.6085 | 0.7224 | 0.7248    | 7.1709  |
+| 1.0841        | 7.5758  | 1000 | 1.0062          | 0.7346 | 0.6104 | 0.7318 | 0.7326    | 7.0342  |
+| 1.0105        | 11.3636 | 1500 | 0.9966          | 0.7313 | 0.6085 | 0.7292 | 0.73      | 6.9487  |
 
 
 ### Framework versions

runs/Jul09_16-27-58_c5eadc05cc54/events.out.tfevents.1720542479.c5eadc05cc54.3138.2

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:f452b20603c9aee65a67c2e39fb8213f7ec0263487f34500ecba7d8ecf03896a
-size 8046
+oid sha256:ebef8fc9d18ebfbb80f731723a4dec1bf964aeb8e33f2909026bf5661124632b
+size 8400