End of training

README.md

@@ -1,5 +1,6 @@
 ---
 license: apache-2.0
+base_model: facebook/bart-base
 tags:
 - generated_from_trainer
 metrics:
@@ -16,12 +17,12 @@ 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:
-- Loss: 10.3868
-- Rouge1: 1.5409
-- Rouge2: 0.0204
-- Rougel: 1.4201
-- Rougelsum: 1.5202
-- Gen Len: 19.999
+- Loss: 7.5197
+- Rouge1: 2.2241
+- Rouge2: 0.0615
+- Rougel: 1.9283
+- Rougelsum: 2.2242
+- 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 |
 |:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
-| 5.4021        | 1.0   | 22880 | 10.3868         | 1.5409 | 0.0204 | 1.4201 | 1.5202    | 19.999  |
+| 6.3077        | 1.0   | 22880 | 7.5197          | 2.2241 | 0.0615 | 1.9283 | 2.2242    | 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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