End of training

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Rouge1
       type: rouge
-      value: 0.1423
+      value: 0.1439
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -32,11 +32,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the billsum dataset.
 It achieves the following results on the evaluation set:
-- Loss: 2.5065
-- Rouge1: 0.1423
-- Rouge2: 0.0509
-- Rougel: 0.1175
-- Rougelsum: 0.1175
+- Loss: 2.5377
+- Rouge1: 0.1439
+- Rouge2: 0.0497
+- Rougel: 0.1155
+- Rougelsum: 0.1154
 - Gen Len: 19.0
 
 ## Model description
@@ -68,15 +68,15 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
 |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
-| No log        | 1.0   | 62   | 2.8033          | 0.127  | 0.0379 | 0.1066 | 0.1065    | 19.0    |
-| No log        | 2.0   | 124  | 2.5913          | 0.1339 | 0.0468 | 0.1122 | 0.1122    | 19.0    |
-| No log        | 3.0   | 186  | 2.5250          | 0.1413 | 0.0506 | 0.1164 | 0.1164    | 19.0    |
-| No log        | 4.0   | 248  | 2.5065          | 0.1423 | 0.0509 | 0.1175 | 0.1175    | 19.0    |
+| No log        | 1.0   | 62   | 2.8300          | 0.1234 | 0.0337 | 0.1019 | 0.102     | 19.0    |
+| No log        | 2.0   | 124  | 2.6177          | 0.1362 | 0.0458 | 0.1114 | 0.1111    | 19.0    |
+| No log        | 3.0   | 186  | 2.5542          | 0.142  | 0.0497 | 0.1146 | 0.1145    | 19.0    |
+| No log        | 4.0   | 248  | 2.5377          | 0.1439 | 0.0497 | 0.1155 | 0.1154    | 19.0    |
 
 
 ### Framework versions
 
-- Transformers 4.33.0
+- Transformers 4.33.1
 - Pytorch 2.0.1+cu118
-- Datasets 2.14.4
+- Datasets 2.14.5
 - Tokenizers 0.13.3

config.json

@@ -55,7 +55,7 @@
     }
   },
   "torch_dtype": "float32",
-  "transformers_version": "4.33.0",
+  "transformers_version": "4.33.1",
   "use_cache": true,
   "vocab_size": 32128
 }

generation_config.json

@@ -2,5 +2,5 @@
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   "eos_token_id": 1,
   "pad_token_id": 0,
-  "transformers_version": "4.33.0"
+  "transformers_version": "4.33.1"
 }

pytorch_model.bin

@@ -1,3 +1,3 @@
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tokenizer.json

@@ -1,11 +1,6 @@
 {
   "version": "1.0",
-  "truncation": {
-    "direction": "Right",
-    "max_length": 128,
-    "strategy": "LongestFirst",
-    "stride": 0
-  },
+  "truncation": null,
   "padding": null,
   "added_tokens": [
     {

training_args.bin

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 size 4219