Training done for led-pubmed-20k

README.md

@@ -1,4 +1,5 @@
 ---
+library_name: transformers
 license: bsd-3-clause
 base_model: pszemraj/led-base-book-summary
 tags:
@@ -15,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [pszemraj/led-base-book-summary](https://huggingface.co/pszemraj/led-base-book-summary) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.1066
+- Loss: 1.1077
 
 ## Model description
 
@@ -49,12 +50,12 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch  | Step | Validation Loss |
 |:-------------:|:------:|:----:|:---------------:|
-| 1.2197        | 0.7477 | 500  | 1.1066          |
+| 1.2213        | 0.7477 | 500  | 1.1077          |
 
 
 ### Framework versions
 
-- Transformers 4.40.1
-- Pytorch 2.2.1+cu121
-- Datasets 2.19.0
+- Transformers 4.44.2
+- Pytorch 2.4.1+cu121
+- Datasets 3.0.1
 - Tokenizers 0.19.1

generation_config.json

@@ -11,5 +11,5 @@
   "num_beams": 4,
   "pad_token_id": 1,
   "repetition_penalty": 3.5,
-  "transformers_version": "4.40.1"
+  "transformers_version": "4.44.2"
 }