training completed[dev]: 1024 128

README.md

@@ -18,12 +18,12 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [facebook/bart-large](https://huggingface.co/facebook/bart-large) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.9368
-- Rouge1: 0.7111
-- Rouge2: 0.4588
-- Rougel: 0.6541
-- Rougelsum: 0.6542
-- Wer: 0.433
+- Loss: 0.8876
+- Rouge1: 0.7224
+- Rouge2: 0.4761
+- Rougel: 0.6677
+- Rougelsum: 0.6675
+- Wer: 0.4176
 
 ## Model description
 
@@ -48,20 +48,28 @@ 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: 1
+- num_epochs: 2
 - mixed_precision_training: Native AMP
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Wer    |
 |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:------:|
-| No log        | 0.13  | 250  | 1.1442          | 0.6749 | 0.4062 | 0.6133 | 0.6132    | 0.4806 |
-| 2.053         | 0.27  | 500  | 1.0353          | 0.6859 | 0.4274 | 0.6269 | 0.6269    | 0.4586 |
-| 2.053         | 0.4   | 750  | 1.0013          | 0.6935 | 0.4384 | 0.6351 | 0.6352    | 0.4499 |
-| 1.1091        | 0.53  | 1000 | 0.9866          | 0.7003 | 0.4467 | 0.6416 | 0.6417    | 0.4425 |
-| 1.1091        | 0.66  | 1250 | 0.9591          | 0.7052 | 0.4512 | 0.6469 | 0.647     | 0.4386 |
-| 1.0491        | 0.8   | 1500 | 0.9502          | 0.7035 | 0.4517 | 0.6469 | 0.647     | 0.4366 |
-| 1.0491        | 0.93  | 1750 | 0.9368          | 0.7111 | 0.4588 | 0.6541 | 0.6542    | 0.433  |
+| No log        | 0.13  | 250  | 1.1438          | 0.6714 | 0.403  | 0.61   | 0.6098    | 0.4822 |
+| 2.0429        | 0.27  | 500  | 1.0396          | 0.6869 | 0.4286 | 0.6276 | 0.6274    | 0.4574 |
+| 2.0429        | 0.4   | 750  | 1.0071          | 0.6941 | 0.4396 | 0.636  | 0.6359    | 0.4501 |
+| 1.1127        | 0.53  | 1000 | 0.9806          | 0.7006 | 0.445  | 0.6414 | 0.6413    | 0.444  |
+| 1.1127        | 0.66  | 1250 | 0.9681          | 0.7001 | 0.4471 | 0.6423 | 0.6423    | 0.4404 |
+| 1.0522        | 0.8   | 1500 | 0.9541          | 0.7026 | 0.4502 | 0.646  | 0.646     | 0.4375 |
+| 1.0522        | 0.93  | 1750 | 0.9325          | 0.7125 | 0.461  | 0.6565 | 0.6564    | 0.431  |
+| 1.0094        | 1.06  | 2000 | 0.9239          | 0.7069 | 0.4593 | 0.652  | 0.6519    | 0.429  |
+| 1.0094        | 1.2   | 2250 | 0.9168          | 0.71   | 0.4631 | 0.6545 | 0.6544    | 0.4265 |
+| 0.9166        | 1.33  | 2500 | 0.9095          | 0.7181 | 0.4701 | 0.6631 | 0.663     | 0.4238 |
+| 0.9166        | 1.46  | 2750 | 0.9051          | 0.7147 | 0.4679 | 0.6595 | 0.6594    | 0.422  |
+| 0.9135        | 1.6   | 3000 | 0.8989          | 0.7227 | 0.4747 | 0.6673 | 0.6672    | 0.4203 |
+| 0.9135        | 1.73  | 3250 | 0.9006          | 0.7144 | 0.4696 | 0.6603 | 0.6603    | 0.4194 |
+| 0.8846        | 1.86  | 3500 | 0.8868          | 0.7199 | 0.4746 | 0.6656 | 0.6655    | 0.4176 |
+| 0.8846        | 1.99  | 3750 | 0.8876          | 0.7224 | 0.4761 | 0.6677 | 0.6675    | 0.4176 |
 
 
 ### Framework versions

runs/Mar16_04-30-14_4b9235023404/events.out.tfevents.1710563422.4b9235023404.4117.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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-size 13312
+oid sha256:83ba889dec2622cd8591745f635ec40db3fe8c775296e989703e4b5f00749e60
+size 15440