End of training

README.md

@@ -2,6 +2,8 @@
 base_model: facebook/bart-large
 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-large](https://huggingface.co/facebook/bart-large) on the None dataset.
 It achieves the following results on the evaluation set:
-- eval_loss: 3.4382
-- eval_rouge1: 0.2109
-- eval_rouge2: 0.0792
-- eval_rougeL: 0.18
-- eval_rougeLsum: 0.1802
-- eval_gen_len: 19.976
-- eval_runtime: 423.7942
-- eval_samples_per_second: 2.36
-- eval_steps_per_second: 2.36
-- step: 0
+- Loss: 1.8378
+- Rouge1: 0.4404
+- Rouge2: 0.2412
+- Rougel: 0.3768
+- Rougelsum: 0.3769
+- Gen Len: 18.977
 
 ## 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 |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
+| 2.2273        | 1.0   | 1250 | 1.9018          | 0.4342 | 0.2347 | 0.3676 | 0.3677    | 19.319  |
+| 2.1445        | 2.0   | 2500 | 1.8668          | 0.4394 | 0.2388 | 0.3744 | 0.3743    | 18.977  |
+| 2.0968        | 3.0   | 3750 | 1.8556          | 0.4406 | 0.2411 | 0.3767 | 0.3769    | 18.689  |
+| 2.0883        | 4.0   | 5000 | 1.8502          | 0.4398 | 0.2391 | 0.3758 | 0.376     | 18.757  |
+| 2.0638        | 5.0   | 6250 | 1.8393          | 0.4416 | 0.2406 | 0.3779 | 0.3777    | 18.88   |
+| 2.0453        | 6.0   | 7500 | 1.8378          | 0.4404 | 0.2412 | 0.3768 | 0.3769    | 18.977  |
+
+
 ### Framework versions
 
 - PEFT 0.11.1

adapter_model.safetensors

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