Model save

README.md

@@ -1,4 +1,5 @@
 ---
+library_name: transformers
 license: mit
 base_model: facebook/bart-large-cnn
 tags:
@@ -17,11 +18,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [facebook/bart-large-cnn](https://huggingface.co/facebook/bart-large-cnn) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0567
-- Rouge1: 55.8275
-- Rouge2: 45.1893
-- Rougel: 50.0441
-- Rougelsum: 50.1406
+- Loss: 0.1120
+- Rouge1: 51.232
+- Rouge2: 37.3103
+- Rougel: 39.2783
+- Rougelsum: 39.2011
 
 ## Model description
 
@@ -52,21 +53,21 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum |
 |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|
-| 0.4872        | 1.0   | 31   | 0.1259          | 40.3668 | 25.4156 | 32.4952 | 32.5066   |
-| 0.1349        | 2.0   | 62   | 0.1071          | 38.4137 | 23.9982 | 29.3169 | 29.3606   |
-| 0.128         | 3.0   | 93   | 0.1000          | 45.61   | 29.904  | 36.2931 | 36.1606   |
-| 0.1138        | 4.0   | 124  | 0.0993          | 47.4837 | 33.2177 | 40.1978 | 40.0854   |
-| 0.1064        | 5.0   | 155  | 0.0832          | 48.4985 | 34.9247 | 42.5024 | 42.5047   |
-| 0.0978        | 6.0   | 186  | 0.0792          | 50.4492 | 37.1342 | 42.4463 | 42.2735   |
-| 0.0941        | 7.0   | 217  | 0.0726          | 53.0967 | 41.2303 | 45.9412 | 45.9511   |
-| 0.0748        | 8.0   | 248  | 0.0653          | 54.9193 | 43.316  | 46.8554 | 46.7847   |
-| 0.0791        | 9.0   | 279  | 0.0582          | 54.424  | 44.2063 | 47.1231 | 47.0471   |
-| 0.0742        | 10.0  | 310  | 0.0567          | 55.8275 | 45.1893 | 50.0441 | 50.1406   |
+| 0.6379        | 1.0   | 40   | 0.2289          | 45.9991 | 29.5151 | 34.3864 | 34.3984   |
+| 0.2731        | 2.0   | 80   | 0.1935          | 47.3991 | 33.1933 | 38.1538 | 38.0514   |
+| 0.2362        | 3.0   | 120  | 0.1734          | 47.4125 | 32.2496 | 35.7852 | 35.8279   |
+| 0.222         | 4.0   | 160  | 0.1665          | 46.2226 | 32.0249 | 37.016  | 36.8941   |
+| 0.2005        | 5.0   | 200  | 0.1530          | 50.1647 | 35.1015 | 39.0526 | 39.0721   |
+| 0.1971        | 6.0   | 240  | 0.1434          | 49.7914 | 35.5371 | 39.2372 | 39.244    |
+| 0.1754        | 7.0   | 280  | 0.1286          | 49.8482 | 35.7536 | 40.2412 | 40.2248   |
+| 0.1777        | 8.0   | 320  | 0.1187          | 51.6342 | 38.223  | 41.4109 | 41.3626   |
+| 0.1555        | 9.0   | 360  | 0.1149          | 49.1858 | 36.1404 | 38.857  | 38.7268   |
+| 0.1415        | 10.0  | 400  | 0.1120          | 51.232  | 37.3103 | 39.2783 | 39.2011   |
 
 
 ### Framework versions
 
-- Transformers 4.43.2
-- Pytorch 2.3.1+cu121
-- Datasets 2.20.0
+- Transformers 4.44.2
+- Pytorch 2.2.0+cu121
+- Datasets 3.0.0
 - Tokenizers 0.19.1

generation_config.json

@@ -11,6 +11,6 @@
   "no_repeat_ngram_size": 3,
   "num_beams": 4,
   "pad_token_id": 1,
-  "transformers_version": "4.43.2",
+  "transformers_version": "4.44.2",
   "use_cache": false
 }

runs/Sep11_13-54-28_orion/events.out.tfevents.1726062921.orion.2195743.0

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-size 12505
+oid sha256:7ea152f06461caaaf648db094fd08906b2c356d0e53a9da15bd8b066001ff15d
+size 13333

runs/Sep11_13-54-28_orion/events.out.tfevents.1726064648.orion.2195743.1

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