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: 0.1383
-- eval_rouge2: 0.0403
-- eval_rougeL: 0.114
-- eval_rougeLsum: 0.1255
-- eval_gen_len: 20.0
-- eval_runtime: 275.3742
-- eval_samples_per_second: 3.631
-- eval_steps_per_second: 3.631
-- step: 0
+- Loss: 3.3782
+- Rouge1: 0.2538
+- Rouge2: 0.0951
+- Rougel: 0.1997
+- Rougelsum: 0.2242
+- Gen Len: 18.562
 
 ## 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 |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
+| 2.699         | 1.0   | 1250 | 3.3753          | 0.2516 | 0.0907 | 0.1966 | 0.2214    | 19.026  |
+| 2.6011        | 2.0   | 2500 | 3.3638          | 0.2505 | 0.0913 | 0.1968 | 0.2211    | 18.839  |
+| 2.578         | 3.0   | 3750 | 3.3738          | 0.2516 | 0.0918 | 0.1971 | 0.2208    | 18.888  |
+| 2.532         | 4.0   | 5000 | 3.3729          | 0.2523 | 0.0946 | 0.1993 | 0.223     | 18.506  |
+| 2.5583        | 5.0   | 6250 | 3.3794          | 0.2528 | 0.0939 | 0.1984 | 0.2233    | 18.612  |
+| 2.539         | 6.0   | 7500 | 3.3782          | 0.2538 | 0.0951 | 0.1997 | 0.2242    | 18.562  |
+
+
 ### Framework versions
 
 - PEFT 0.12.0

adapter_model.safetensors

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runs/Jul26_20-57-31_eac2ae36916c/events.out.tfevents.1722027726.eac2ae36916c.3278.2

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