End of training

README.md

@@ -2,6 +2,8 @@
 base_model: facebook/bart-large
 library_name: peft
 license: apache-2.0
+metrics:
+- rouge
 tags:
 - generated_from_trainer
 model-index:
@@ -16,16 +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 the None dataset.
 It achieves the following results on the evaluation set:
-- eval_loss: 3.7448
-- eval_rouge1: 0.1395
-- eval_rouge2: 0.0402
-- eval_rougeL: 0.1147
-- eval_rougeLsum: 0.1265
-- eval_gen_len: 20.0
-- eval_runtime: 443.3206
-- eval_samples_per_second: 2.256
-- eval_steps_per_second: 2.256
-- step: 0
+- Loss: 3.0298
+- Rouge1: 0.2443
+- Rouge2: 0.0871
+- Rougel: 0.193
+- Rougelsum: 0.2171
+- Gen Len: 18.859
 
 ## Model description
 
@@ -55,6 +53,18 @@ The following hyperparameters were used during training:
 - num_epochs: 6
 - mixed_precision_training: Native AMP
 
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
+| 2.2146        | 1.0   | 1250 | 3.0347          | 0.2365 | 0.083  | 0.1868 | 0.2101    | 19.329  |
+| 2.1322        | 2.0   | 2500 | 3.0354          | 0.2419 | 0.0862 | 0.1911 | 0.2142    | 19.0    |
+| 2.0892        | 3.0   | 3750 | 3.0422          | 0.2411 | 0.0851 | 0.1903 | 0.2134    | 18.943  |
+| 2.0772        | 4.0   | 5000 | 3.0387          | 0.2423 | 0.0857 | 0.1911 | 0.2145    | 18.869  |
+| 2.0742        | 5.0   | 6250 | 3.0307          | 0.2448 | 0.0868 | 0.193  | 0.2171    | 18.828  |
+| 2.0673        | 6.0   | 7500 | 3.0298          | 0.2443 | 0.0871 | 0.193  | 0.2171    | 18.859  |
+
+
 ### Framework versions
 
 - PEFT 0.11.1

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