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: 0.0404
-- eval_rougeL: 0.114
-- eval_rougeLsum: 0.1254
-- eval_gen_len: 20.0
-- eval_runtime: 273.4655
-- eval_samples_per_second: 3.657
-- eval_steps_per_second: 3.657
-- step: 0
+- Loss: 3.3893
+- Rouge1: 0.2525
+- Rouge2: 0.0944
+- Rougel: 0.2
+- Rougelsum: 0.2242
+- Gen Len: 18.451
 
 ## 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 |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
+| 2.6901        | 1.0   | 1250 | 3.3869          | 0.2516 | 0.0884 | 0.1964 | 0.2218    | 19.066  |
+| 2.6035        | 2.0   | 2500 | 3.3751          | 0.2516 | 0.0926 | 0.1975 | 0.2231    | 18.716  |
+| 2.564         | 3.0   | 3750 | 3.3818          | 0.2503 | 0.0926 | 0.1974 | 0.2221    | 18.501  |
+| 2.5265        | 4.0   | 5000 | 3.3882          | 0.2505 | 0.0927 | 0.1979 | 0.2219    | 18.482  |
+| 2.5207        | 5.0   | 6250 | 3.3881          | 0.2532 | 0.0946 | 0.2005 | 0.2247    | 18.394  |
+| 2.5356        | 6.0   | 7500 | 3.3893          | 0.2525 | 0.0944 | 0.2    | 0.2242    | 18.451  |
+
+
 ### Framework versions
 
 - PEFT 0.12.0

adapter_model.safetensors

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