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: 0.138
-- eval_rouge2: 0.0404
-- eval_rougeL: 0.114
-- eval_rougeLsum: 0.1253
-- eval_gen_len: 20.0
-- eval_runtime: 274.0416
-- eval_samples_per_second: 3.649
-- eval_steps_per_second: 3.649
-- step: 0
+- Loss: 3.3826
+- Rouge1: 0.2498
+- Rouge2: 0.0937
+- Rougel: 0.1992
+- Rougelsum: 0.2218
+- Gen Len: 18.217
 
 ## 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 |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
+| 2.7195        | 1.0   | 1250 | 3.3721          | 0.2478 | 0.0885 | 0.1948 | 0.219     | 18.949  |
+| 2.6054        | 2.0   | 2500 | 3.3830          | 0.251  | 0.0932 | 0.1977 | 0.2222    | 18.61   |
+| 2.572         | 3.0   | 3750 | 3.3801          | 0.251  | 0.092  | 0.1978 | 0.2222    | 18.472  |
+| 2.5529        | 4.0   | 5000 | 3.3811          | 0.2495 | 0.0927 | 0.1992 | 0.2215    | 18.222  |
+| 2.5453        | 5.0   | 6250 | 3.3833          | 0.2496 | 0.0918 | 0.1983 | 0.2219    | 18.318  |
+| 2.5151        | 6.0   | 7500 | 3.3826          | 0.2498 | 0.0937 | 0.1992 | 0.2218    | 18.217  |
+
+
 ### Framework versions
 
 - PEFT 0.12.0

adapter_model.safetensors

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runs/Jul26_17-27-14_eac2ae36916c/events.out.tfevents.1722015108.eac2ae36916c.3278.0

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