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: 0.1379
-- eval_rouge2: 0.0403
-- eval_rougeL: 0.1141
-- eval_rougeLsum: 0.1254
-- eval_gen_len: 20.0
-- eval_runtime: 271.7042
-- eval_samples_per_second: 3.68
-- eval_steps_per_second: 3.68
-- step: 0
+- Loss: 3.3974
+- Rouge1: 0.2518
+- Rouge2: 0.0939
+- Rougel: 0.1991
+- Rougelsum: 0.2234
+- Gen Len: 18.193
 
 ## 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 |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
+| 2.703         | 1.0   | 1250 | 3.3758          | 0.2513 | 0.0906 | 0.197  | 0.222     | 18.892  |
+| 2.6143        | 2.0   | 2500 | 3.3837          | 0.2497 | 0.0914 | 0.1956 | 0.2202    | 18.433  |
+| 2.5745        | 3.0   | 3750 | 3.3914          | 0.2487 | 0.0908 | 0.195  | 0.2188    | 18.475  |
+| 2.5622        | 4.0   | 5000 | 3.3947          | 0.2481 | 0.0909 | 0.1957 | 0.2192    | 18.307  |
+| 2.5308        | 5.0   | 6250 | 3.4010          | 0.2512 | 0.0935 | 0.1994 | 0.2232    | 18.139  |
+| 2.5395        | 6.0   | 7500 | 3.3974          | 0.2518 | 0.0939 | 0.1991 | 0.2234    | 18.193  |
+
+
 ### Framework versions
 
 - PEFT 0.12.0

adapter_model.safetensors

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