Training complete

README.md

@@ -19,11 +19,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.9696
-- Rouge1: 49.0677
-- Rouge2: 26.1575
-- Rougel: 45.3308
-- Rougelsum: 45.3274
+- Loss: 1.7287
+- Rouge1: 52.033
+- Rouge2: 28.5069
+- Rougel: 47.9951
+- Rougelsum: 47.994
 
 ## Model description
 
@@ -48,13 +48,17 @@ 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: 1
+- num_epochs: 6
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum |
 |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|
-| 2.6768        | 1.0   | 1384 | 1.9696          | 49.0677 | 26.1575 | 45.3308 | 45.3274   |
+| 3.9223        | 1.0   | 1384 | 2.0230          | 48.3053 | 25.5    | 44.5689 | 44.5717   |
+| 2.4615        | 2.0   | 2768 | 1.8415          | 50.6518 | 27.4135 | 46.7611 | 46.7466   |
+| 2.2896        | 3.0   | 4152 | 1.7868          | 51.4143 | 27.9301 | 47.4151 | 47.4095   |
+| 2.1912        | 5.0   | 6920 | 1.7372          | 51.912  | 28.3549 | 47.8763 | 47.8849   |
+| 2.1537        | 6.0   | 8304 | 1.7287          | 52.033  | 28.5069 | 47.9951 | 47.994    |
 
 
 ### Framework versions

runs/Jan16_11-48-58_2d47da243ae0/events.out.tfevents.1737028141.2d47da243ae0.3028.6

@@ -1,3 +1,3 @@
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+size 7129