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: 0.1378
-- eval_rouge2: 0.0404
-- eval_rougeL: 0.1139
-- eval_rougeLsum: 0.1256
-- eval_gen_len: 20.0
-- eval_runtime: 284.8185
-- eval_samples_per_second: 3.511
-- eval_steps_per_second: 3.511
-- step: 0
+- Loss: 3.3832
+- Rouge1: 0.2502
+- Rouge2: 0.0919
+- Rougel: 0.1972
+- Rougelsum: 0.2211
+- Gen Len: 18.61
 
 ## 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 |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
+| 2.7168        | 1.0   | 1250 | 3.3726          | 0.2491 | 0.0895 | 0.1955 | 0.221     | 18.952  |
+| 2.6026        | 2.0   | 2500 | 3.3663          | 0.2511 | 0.092  | 0.1967 | 0.2219    | 18.8    |
+| 2.5707        | 3.0   | 3750 | 3.3707          | 0.2505 | 0.0921 | 0.1967 | 0.2207    | 18.618  |
+| 2.5606        | 4.0   | 5000 | 3.3795          | 0.2518 | 0.093  | 0.1981 | 0.222     | 18.687  |
+| 2.5437        | 5.0   | 6250 | 3.3853          | 0.2517 | 0.0928 | 0.1975 | 0.2219    | 18.521  |
+| 2.5435        | 6.0   | 7500 | 3.3832          | 0.2502 | 0.0919 | 0.1972 | 0.2211    | 18.61   |
+
+
 ### Framework versions
 
 - PEFT 0.12.0

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