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: 0.1382
-- eval_rouge2: 0.0405
-- eval_rougeL: 0.1137
-- eval_rougeLsum: 0.1254
-- eval_gen_len: 20.0
-- eval_runtime: 278.1915
-- eval_samples_per_second: 3.595
-- eval_steps_per_second: 3.595
-- step: 0
+- Loss: 3.3801
+- Rouge1: 0.2487
+- Rouge2: 0.0923
+- Rougel: 0.1972
+- Rougelsum: 0.2207
+- Gen Len: 18.133
 
 ## 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 |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
+| 2.7108        | 1.0   | 1250 | 3.3782          | 0.25   | 0.0912 | 0.1969 | 0.2194    | 18.87   |
+| 2.6125        | 2.0   | 2500 | 3.3660          | 0.2524 | 0.092  | 0.1978 | 0.2216    | 18.677  |
+| 2.57          | 3.0   | 3750 | 3.3810          | 0.2493 | 0.0925 | 0.1967 | 0.2211    | 18.378  |
+| 2.5502        | 4.0   | 5000 | 3.3807          | 0.2517 | 0.0938 | 0.1984 | 0.2216    | 18.211  |
+| 2.5356        | 5.0   | 6250 | 3.3808          | 0.249  | 0.0923 | 0.197  | 0.2206    | 18.051  |
+| 2.5134        | 6.0   | 7500 | 3.3801          | 0.2487 | 0.0923 | 0.1972 | 0.2207    | 18.133  |
+
+
 ### Framework versions
 
 - PEFT 0.12.0

adapter_model.safetensors

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