Model save

README.md

@@ -18,12 +18,12 @@ 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 the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.4609
-- Rouge1: 0.2922
-- Rouge2: 0.2362
-- Rougel: 0.282
-- Rougelsum: 0.282
-- Gen Len: 19.951
+- Loss: 1.4151
+- Rouge1: 0.3167
+- Rouge2: 0.2556
+- Rougel: 0.3052
+- Rougelsum: 0.3051
+- Gen Len: 19.8434
 
 ## Model description
 
@@ -48,19 +48,18 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
 - lr_scheduler_type: linear
-- num_epochs: 6
+- num_epochs: 5
 - mixed_precision_training: Native AMP
 
 ### Training results
 
 | Training Loss | Epoch | Step  | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
 |:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
-| 1.8149        | 1.0   | 12429 | 1.6198          | 0.2838 | 0.2222 | 0.2726 | 0.2726    | 19.9612 |
-| 1.7131        | 2.0   | 24858 | 1.5410          | 0.2874 | 0.2291 | 0.2768 | 0.2767    | 19.9596 |
-| 1.6671        | 3.0   | 37287 | 1.5011          | 0.2892 | 0.2316 | 0.2787 | 0.2787    | 19.9572 |
-| 1.6542        | 4.0   | 49716 | 1.4750          | 0.291  | 0.2349 | 0.2809 | 0.2808    | 19.9496 |
-| 1.6116        | 5.0   | 62145 | 1.4636          | 0.292  | 0.236  | 0.2818 | 0.2818    | 19.9516 |
-| 1.6247        | 6.0   | 74574 | 1.4609          | 0.2922 | 0.2362 | 0.282  | 0.282     | 19.951  |
+| 1.7529        | 1.0   | 14778 | 1.5535          | 0.3091 | 0.2415 | 0.2959 | 0.2958    | 19.8355 |
+| 1.6541        | 2.0   | 29556 | 1.4777          | 0.313  | 0.2491 | 0.3006 | 0.3006    | 19.8419 |
+| 1.602         | 3.0   | 44334 | 1.4397          | 0.3155 | 0.2534 | 0.3036 | 0.3036    | 19.8513 |
+| 1.6015        | 4.0   | 59112 | 1.4211          | 0.3164 | 0.2552 | 0.3049 | 0.3049    | 19.84   |
+| 1.569         | 5.0   | 73890 | 1.4151          | 0.3167 | 0.2556 | 0.3052 | 0.3051    | 19.8434 |
 
 
 ### Framework versions

runs/Mar14_03-43-05_8d69bd930a5d/events.out.tfevents.1741923865.8d69bd930a5d.2369.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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-size 39755
+oid sha256:fb4a09082252ac564bea01d6c9d5952fcac84b0c9fb425b1a00ceb7a510e70f6
+size 40650