End of training

README.md

@@ -2,6 +2,8 @@
 base_model: facebook/bart-base
 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-base](https://huggingface.co/facebook/bart-base) on the None dataset.
 It achieves the following results on the evaluation set:
-- eval_loss: 4.0426
-- eval_rouge1: 0.1382
-- eval_rouge2: 0.0404
-- eval_rougeL: 0.114
-- eval_rougeLsum: 0.1253
-- eval_gen_len: 20.0
-- eval_runtime: 295.8994
-- eval_samples_per_second: 3.38
-- eval_steps_per_second: 3.38
-- step: 0
+- Loss: 3.3819
+- Rouge1: 0.2543
+- Rouge2: 0.0961
+- Rougel: 0.2009
+- Rougelsum: 0.2262
+- Gen Len: 18.613
 
 ## 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 |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
+| 2.6997        | 1.0   | 1250 | 3.3755          | 0.2507 | 0.0879 | 0.1956 | 0.2199    | 19.0    |
+| 2.5999        | 2.0   | 2500 | 3.3728          | 0.2478 | 0.0901 | 0.1965 | 0.22      | 18.974  |
+| 2.5783        | 3.0   | 3750 | 3.3670          | 0.2532 | 0.0929 | 0.199  | 0.2243    | 18.781  |
+| 2.5498        | 4.0   | 5000 | 3.3812          | 0.2541 | 0.0947 | 0.2005 | 0.2253    | 18.681  |
+| 2.5358        | 5.0   | 6250 | 3.3795          | 0.254  | 0.095  | 0.2006 | 0.2252    | 18.677  |
+| 2.5296        | 6.0   | 7500 | 3.3819          | 0.2543 | 0.0961 | 0.2009 | 0.2262    | 18.613  |
+
+
 ### Framework versions
 
 - PEFT 0.12.0

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