End of training

README.md

@@ -17,7 +17,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on the eli5_category dataset.
 It achieves the following results on the evaluation set:
-- Loss: 3.5847
+- Loss: 3.5729
 
 ## Model description
 
@@ -48,14 +48,14 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| 3.6947        | 1.0   | 1308 | 3.5892          |
-| 3.5793        | 2.0   | 2616 | 3.5833          |
-| 3.5287        | 3.0   | 3924 | 3.5847          |
+| 3.6954        | 1.0   | 1294 | 3.5796          |
+| 3.5792        | 2.0   | 2588 | 3.5718          |
+| 3.527         | 3.0   | 3882 | 3.5729          |
 
 
 ### Framework versions
 
-- Transformers 4.38.2
-- Pytorch 2.2.1+cu121
-- Datasets 2.18.0
-- Tokenizers 0.15.2
+- Transformers 4.39.3
+- Pytorch 2.2.2
+- Datasets 2.19.0
+- Tokenizers 0.15.1

generation_config.json

@@ -2,5 +2,5 @@
   "_from_model_config": true,
   "bos_token_id": 50256,
   "eos_token_id": 50256,
-  "transformers_version": "4.38.2"
+  "transformers_version": "4.39.3"
 }

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:235ed428eba076c96471021d08847dcd88f83994945e974709673788c582e04d
+oid sha256:f9d5a9bba544783cd9e07b868dbf9a09bc877cfd936001573c7a05f5adab4dbc
 size 497774208