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: 3.7448
-- eval_rouge1: 0.1393
-- eval_rouge2: 0.0402
-- eval_rougeL: 0.1145
-- eval_rougeLsum: 0.1267
-- eval_gen_len: 20.0
-- eval_runtime: 457.3275
-- eval_samples_per_second: 2.187
-- eval_steps_per_second: 2.187
-- step: 0
+- Loss: 3.0346
+- Rouge1: 0.2419
+- Rouge2: 0.0864
+- Rougel: 0.1915
+- Rougelsum: 0.2157
+- Gen Len: 18.758
 
 ## 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 |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
+| 2.2338        | 1.0   | 1250 | 3.0353          | 0.238  | 0.084  | 0.1872 | 0.211     | 19.412  |
+| 2.1329        | 2.0   | 2500 | 3.0331          | 0.2383 | 0.0835 | 0.1873 | 0.2116    | 19.091  |
+| 2.0982        | 3.0   | 3750 | 3.0363          | 0.2412 | 0.0861 | 0.1911 | 0.2148    | 18.84   |
+| 2.0827        | 4.0   | 5000 | 3.0470          | 0.2412 | 0.0865 | 0.191  | 0.2146    | 18.745  |
+| 2.0732        | 5.0   | 6250 | 3.0370          | 0.2421 | 0.0865 | 0.1915 | 0.2157    | 18.798  |
+| 2.0714        | 6.0   | 7500 | 3.0346          | 0.2419 | 0.0864 | 0.1915 | 0.2157    | 18.758  |
+
+
 ### Framework versions
 
 - PEFT 0.11.1

adapter_model.safetensors

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