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: 0.1381
-- eval_rouge2: 0.0403
-- eval_rougeL: 0.1141
-- eval_rougeLsum: 0.1254
-- eval_gen_len: 20.0
-- eval_runtime: 279.9685
-- eval_samples_per_second: 3.572
-- eval_steps_per_second: 3.572
-- step: 0
+- Loss: 3.3867
+- Rouge1: 0.2505
+- Rouge2: 0.0917
+- Rougel: 0.1982
+- Rougelsum: 0.2221
+- Gen Len: 18.509
 
 ## 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 |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
+| 2.7087        | 1.0   | 1250 | 3.3802          | 0.2509 | 0.0892 | 0.1958 | 0.221     | 19.092  |
+| 2.615         | 2.0   | 2500 | 3.3801          | 0.249  | 0.0914 | 0.1958 | 0.22      | 18.594  |
+| 2.5711        | 3.0   | 3750 | 3.3867          | 0.2514 | 0.0917 | 0.1969 | 0.2214    | 18.643  |
+| 2.5534        | 4.0   | 5000 | 3.3886          | 0.252  | 0.0932 | 0.198  | 0.2223    | 18.467  |
+| 2.5482        | 5.0   | 6250 | 3.3859          | 0.2508 | 0.0908 | 0.1972 | 0.2217    | 18.501  |
+| 2.5367        | 6.0   | 7500 | 3.3867          | 0.2505 | 0.0917 | 0.1982 | 0.2221    | 18.509  |
+
+
 ### Framework versions
 
 - PEFT 0.12.0

adapter_model.safetensors

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runs/Jul25_07-27-47_46eb69058145/events.out.tfevents.1721892747.46eb69058145.217.0

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