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: 0.2108
-- eval_rouge2: 0.0789
-- eval_rougeL: 0.18
-- eval_rougeLsum: 0.1795
-- eval_gen_len: 19.976
-- eval_runtime: 255.0069
-- eval_samples_per_second: 3.921
-- eval_steps_per_second: 3.921
-- step: 0
+- Loss: 2.1260
+- Rouge1: 0.4187
+- Rouge2: 0.2233
+- Rougel: 0.3553
+- Rougelsum: 0.3545
+- Gen Len: 18.201
 
 ## 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 |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
+| 2.6968        | 1.0   | 1250 | 2.1990          | 0.4139 | 0.2206 | 0.353  | 0.3525    | 17.88   |
+| 2.6029        | 2.0   | 2500 | 2.1650          | 0.415  | 0.2192 | 0.351  | 0.3503    | 18.142  |
+| 2.5682        | 3.0   | 3750 | 2.1438          | 0.4162 | 0.2188 | 0.35   | 0.3495    | 18.151  |
+| 2.5281        | 4.0   | 5000 | 2.1297          | 0.4189 | 0.223  | 0.3559 | 0.3553    | 18.287  |
+| 2.5228        | 5.0   | 6250 | 2.1269          | 0.4175 | 0.2228 | 0.3551 | 0.3545    | 18.157  |
+| 2.542         | 6.0   | 7500 | 2.1260          | 0.4187 | 0.2233 | 0.3553 | 0.3545    | 18.201  |
+
+
 ### Framework versions
 
 - PEFT 0.12.0

adapter_model.safetensors

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runs/Jul26_11-41-37_e858228a3e53/events.out.tfevents.1721994352.e858228a3e53.989.2

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