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: 0.2102
-- eval_rouge2: 0.0789
-- eval_rougeL: 0.1799
-- eval_rougeLsum: 0.1797
-- eval_gen_len: 19.976
-- eval_runtime: 253.862
-- eval_samples_per_second: 3.939
-- eval_steps_per_second: 3.939
-- step: 0
+- Loss: 2.1275
+- Rouge1: 0.4196
+- Rouge2: 0.2244
+- Rougel: 0.3562
+- Rougelsum: 0.3564
+- Gen Len: 18.338
 
 ## 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 |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
+| 2.6973        | 1.0   | 1250 | 2.1978          | 0.4152 | 0.2215 | 0.3551 | 0.3555    | 17.896  |
+| 2.6015        | 2.0   | 2500 | 2.1713          | 0.4141 | 0.2205 | 0.3511 | 0.3508    | 18.338  |
+| 2.5775        | 3.0   | 3750 | 2.1466          | 0.4165 | 0.2208 | 0.3514 | 0.3515    | 18.41   |
+| 2.5536        | 4.0   | 5000 | 2.1345          | 0.4214 | 0.2241 | 0.358  | 0.3579    | 18.38   |
+| 2.5322        | 5.0   | 6250 | 2.1279          | 0.4226 | 0.2257 | 0.3587 | 0.3587    | 18.447  |
+| 2.5289        | 6.0   | 7500 | 2.1275          | 0.4196 | 0.2244 | 0.3562 | 0.3564    | 18.338  |
+
+
 ### Framework versions
 
 - PEFT 0.12.0

adapter_model.safetensors

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