End of training

README.md

@@ -17,12 +17,12 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [GuysTrans/bart-base-re-attention-mini-seq-512](https://huggingface.co/GuysTrans/bart-base-re-attention-mini-seq-512) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 11.9510
-- Rouge1: 0.0774
+- Loss: 12.2050
+- Rouge1: 0.0754
 - Rouge2: 0.0
-- Rougel: 0.0777
-- Rougelsum: 0.0782
-- Gen Len: 17.9933
+- Rougel: 0.0741
+- Rougelsum: 0.076
+- Gen Len: 17.1
 
 ## Model description
 
@@ -53,12 +53,12 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
 |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
-| 5.7969        | 1.0   | 2920 | 11.9510         | 0.0774 | 0.0    | 0.0777 | 0.0782    | 17.9933 |
+| 5.7566        | 1.0   | 2920 | 12.2050         | 0.0754 | 0.0    | 0.0741 | 0.076     | 17.1    |
 
 
 ### Framework versions
 
-- Transformers 4.34.1
-- Pytorch 2.1.0+cu118
-- Datasets 2.14.5
-- Tokenizers 0.14.1
+- 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": "4.34.1"
+  "transformers_version": "4.33.0"
 }

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:8a61d6301159224d709a3cc6a906e20113b78a8696954c70a38b1ca218794bea
+oid sha256:fedafc785588201174edc0fd64d1027309f2daf981910f283eeb78c4a1c18c30
 size 558025109