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: 0.2106
-- eval_rouge2: 0.0791
-- eval_rougeL: 0.1799
-- eval_rougeLsum: 0.1799
-- eval_gen_len: 19.976
-- eval_runtime: 254.7922
-- eval_samples_per_second: 3.925
-- eval_steps_per_second: 3.925
-- step: 0
+- Loss: 2.1339
+- Rouge1: 0.4189
+- Rouge2: 0.2237
+- Rougel: 0.356
+- Rougelsum: 0.3558
+- Gen Len: 18.191
 
 ## 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 |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
+| 2.7175        | 1.0   | 1250 | 2.2013          | 0.4107 | 0.219  | 0.35   | 0.3496    | 17.772  |
+| 2.5872        | 2.0   | 2500 | 2.1674          | 0.4158 | 0.2228 | 0.3536 | 0.3531    | 18.005  |
+| 2.5979        | 3.0   | 3750 | 2.1502          | 0.415  | 0.2215 | 0.351  | 0.3509    | 18.111  |
+| 2.5579        | 4.0   | 5000 | 2.1428          | 0.4178 | 0.226  | 0.3548 | 0.3549    | 18.143  |
+| 2.5332        | 5.0   | 6250 | 2.1350          | 0.4172 | 0.2243 | 0.3546 | 0.3542    | 18.149  |
+| 2.5331        | 6.0   | 7500 | 2.1339          | 0.4189 | 0.2237 | 0.356  | 0.3558    | 18.191  |
+
+
 ### Framework versions
 
 - PEFT 0.12.0

adapter_model.safetensors

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