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: 0.2103
-- eval_rouge2: 0.079
-- eval_rougeL: 0.18
-- eval_rougeLsum: 0.1799
-- eval_gen_len: 19.976
-- eval_runtime: 255.3131
-- eval_samples_per_second: 3.917
-- eval_steps_per_second: 3.917
-- step: 0
+- Loss: 2.1283
+- Rouge1: 0.4194
+- Rouge2: 0.2246
+- Rougel: 0.3563
+- Rougelsum: 0.356
+- Gen Len: 18.24
 
 ## 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 |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
+| 2.7018        | 1.0   | 1250 | 2.1985          | 0.4123 | 0.2198 | 0.352  | 0.3522    | 17.961  |
+| 2.6001        | 2.0   | 2500 | 2.1649          | 0.4125 | 0.2205 | 0.3526 | 0.3526    | 17.963  |
+| 2.577         | 3.0   | 3750 | 2.1418          | 0.4189 | 0.222  | 0.3547 | 0.3548    | 18.185  |
+| 2.5295        | 4.0   | 5000 | 2.1347          | 0.4213 | 0.2256 | 0.3564 | 0.3559    | 18.174  |
+| 2.5513        | 5.0   | 6250 | 2.1299          | 0.4174 | 0.2224 | 0.3545 | 0.3542    | 18.118  |
+| 2.5347        | 6.0   | 7500 | 2.1283          | 0.4194 | 0.2246 | 0.3563 | 0.356     | 18.24   |
+
+
 ### Framework versions
 
 - PEFT 0.12.0

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