End of training

README.md

@@ -1,5 +1,6 @@
 ---
 license: apache-2.0
+base_model: facebook/bart-base
 tags:
 - generated_from_trainer
 metrics:
@@ -14,13 +15,13 @@ should probably proofread and complete it, then remove this comment. -->
 
 # bart-base-finetuned-xsum
 
-This model is a fine-tuned version of [GuysTrans/bart-base-finetuned-xsum](https://huggingface.co/GuysTrans/bart-base-finetuned-xsum) on the None dataset.
+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: 2.8002
-- Rouge1: 8.9377
-- Rouge2: 2.4803
-- Rougel: 7.229
-- Rougelsum: 8.7078
+- Loss: 2.7340
+- Rouge1: 8.55
+- Rouge2: 2.1967
+- Rougel: 6.9171
+- Rougelsum: 8.3505
 - 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 |
 |:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
-| 2.2623        | 1.0   | 22880 | 2.8002          | 8.9377 | 2.4803 | 7.229  | 8.7078    | 20.0    |
+| 2.002         | 1.0   | 37884 | 2.7340          | 8.55   | 2.1967 | 6.9171 | 8.3505    | 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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+oid sha256:7159d7a5fcb5e56864adae0a56f541f6185fc1e28ce89f7a4768e649c13bf914
 size 557971229