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: 1.0100
-- Rouge1: 0.6961
-- Rouge2: 0.4369
-- Rougel: 0.6352
-- Rougelsum: 0.6352
-- Wer: 0.4562
+- Loss: 0.9558
+- Rouge1: 0.7069
+- Rouge2: 0.4544
+- Rougel: 0.6489
+- Rougelsum: 0.6489
+- Wer: 0.4398
 
 ## 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  | 1.2180          | 0.6601 | 0.3882 | 0.5954 | 0.5952    | 0.4981 |
-| 2.1099        | 0.27  | 500  | 1.1152          | 0.68   | 0.4133 | 0.6165 | 0.6164    | 0.4806 |
-| 2.1099        | 0.4   | 750  | 1.0765          | 0.6817 | 0.4177 | 0.6181 | 0.618     | 0.4723 |
-| 1.1853        | 0.53  | 1000 | 1.0552          | 0.6915 | 0.4283 | 0.6284 | 0.6283    | 0.4664 |
-| 1.1853        | 0.66  | 1250 | 1.0315          | 0.6958 | 0.4327 | 0.6328 | 0.6326    | 0.4622 |
-| 1.1179        | 0.8   | 1500 | 1.0227          | 0.6912 | 0.4317 | 0.6297 | 0.6296    | 0.4582 |
-| 1.1179        | 0.93  | 1750 | 1.0100          | 0.6961 | 0.4369 | 0.6352 | 0.6352    | 0.4562 |
+| No log        | 0.13  | 250  | 1.2224          | 0.665  | 0.3911 | 0.6    | 0.6001    | 0.4993 |
+| 2.0905        | 0.27  | 500  | 1.1190          | 0.6743 | 0.4083 | 0.6103 | 0.6104    | 0.4809 |
+| 2.0905        | 0.4   | 750  | 1.0832          | 0.6818 | 0.418  | 0.6178 | 0.6178    | 0.4726 |
+| 1.188         | 0.53  | 1000 | 1.0541          | 0.6871 | 0.4246 | 0.6242 | 0.6242    | 0.4675 |
+| 1.188         | 0.66  | 1250 | 1.0352          | 0.6881 | 0.4283 | 0.6269 | 0.6268    | 0.4628 |
+| 1.1172        | 0.8   | 1500 | 1.0291          | 0.6912 | 0.4319 | 0.6303 | 0.6303    | 0.4586 |
+| 1.1172        | 0.93  | 1750 | 1.0079          | 0.7001 | 0.4406 | 0.6396 | 0.6397    | 0.4543 |
+| 1.0803        | 1.06  | 2000 | 0.9957          | 0.6939 | 0.4396 | 0.6359 | 0.6359    | 0.4511 |
+| 1.0803        | 1.2   | 2250 | 0.9891          | 0.6972 | 0.443  | 0.6383 | 0.6383    | 0.4479 |
+| 0.9849        | 1.33  | 2500 | 0.9800          | 0.7009 | 0.4467 | 0.6425 | 0.6425    | 0.4464 |
+| 0.9849        | 1.46  | 2750 | 0.9771          | 0.7017 | 0.4479 | 0.6426 | 0.6426    | 0.4437 |
+| 0.9867        | 1.6   | 3000 | 0.9638          | 0.7085 | 0.4541 | 0.6495 | 0.6495    | 0.4422 |
+| 0.9867        | 1.73  | 3250 | 0.9675          | 0.7013 | 0.4495 | 0.6438 | 0.6438    | 0.4413 |
+| 0.9556        | 1.86  | 3500 | 0.9565          | 0.707  | 0.4544 | 0.6493 | 0.6492    | 0.4401 |
+| 0.9556        | 1.99  | 3750 | 0.9558          | 0.7069 | 0.4544 | 0.6489 | 0.6489    | 0.4398 |
 
 
 ### Framework versions

runs/Mar30_02-52-46_3cfbce7992d7/events.out.tfevents.1711767184.3cfbce7992d7.2263.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:ff49e9e37ebb3cf1876cdf5863c56d139a095636191434c61194a87bc2421ebf
-size 13294
+oid sha256:2a5b85792beddbf30e85c56faf376c4b5837b2935bc1b45671ae26691c6d7f2b
+size 15422