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: 3.8635
-- eval_rouge1: 0.2104
-- eval_rouge2: 0.0791
-- eval_rougeL: 0.1798
-- eval_rougeLsum: 0.1798
-- eval_gen_len: 19.976
-- eval_runtime: 255.0893
-- eval_samples_per_second: 3.92
-- eval_steps_per_second: 3.92
-- step: 0
+- Loss: 2.1337
+- Rouge1: 0.4177
+- Rouge2: 0.2219
+- Rougel: 0.3529
+- Rougelsum: 0.3526
+- Gen Len: 18.32
 
 ## 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 |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
+| 2.705         | 1.0   | 1250 | 2.1960          | 0.4122 | 0.2191 | 0.3515 | 0.3514    | 17.971  |
+| 2.5847        | 2.0   | 2500 | 2.1640          | 0.414  | 0.2185 | 0.3495 | 0.3493    | 18.179  |
+| 2.564         | 3.0   | 3750 | 2.1490          | 0.4165 | 0.2208 | 0.3519 | 0.3516    | 18.135  |
+| 2.559         | 4.0   | 5000 | 2.1389          | 0.4161 | 0.2215 | 0.352  | 0.3518    | 18.26   |
+| 2.5562        | 5.0   | 6250 | 2.1367          | 0.4165 | 0.2211 | 0.3517 | 0.3514    | 18.297  |
+| 2.5298        | 6.0   | 7500 | 2.1337          | 0.4177 | 0.2219 | 0.3529 | 0.3526    | 18.32   |
+
+
 ### Framework versions
 
 - PEFT 0.12.0

adapter_model.safetensors

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runs/Jul26_14-14-27_e858228a3e53/events.out.tfevents.1722003522.e858228a3e53.989.4

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