End of training

README.md

@@ -1,5 +1,6 @@
 ---
 license: apache-2.0
+base_model: facebook/bart-base
 tags:
 - generated_from_trainer
 metrics:
@@ -16,11 +17,11 @@ 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:
-- Loss: 1.4403
-- Rouge1: 6.5379
-- Rouge2: 4.0407
-- Rougel: 6.2906
-- Rougelsum: 6.3764
+- Loss: 1.4314
+- Rouge1: 6.5474
+- Rouge2: 4.0403
+- Rougel: 6.3014
+- Rougelsum: 6.3813
 - Gen Len: 20.0
 
 ## Model description
@@ -52,12 +53,12 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
 |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
-| 1.5616        | 1.0   | 1074 | 1.4403          | 6.5379 | 4.0407 | 6.2906 | 6.3764    | 20.0    |
+| 1.6042        | 1.0   | 1074 | 1.4314          | 6.5474 | 4.0403 | 6.3014 | 6.3813    | 20.0    |
 
 
 ### Framework versions
 
-- Transformers 4.30.2
+- Transformers 4.33.0
 - Pytorch 2.0.0
 - Datasets 2.1.0
 - Tokenizers 0.13.3

generation_config.json

@@ -8,5 +8,5 @@
   "no_repeat_ngram_size": 3,
   "num_beams": 4,
   "pad_token_id": 1,
-  "transformers_version": "4.30.2"
+  "transformers_version": "4.33.0"
 }

pytorch_model.bin

@@ -1,3 +1,3 @@
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