Model save

README.md

@@ -15,7 +15,7 @@ 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 None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.5025
+- Loss: 1.5045
 
 ## Model description
 
@@ -49,14 +49,14 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| 3.9757        | 0.29  | 500  | 1.9082          |
-| 1.7552        | 0.58  | 1000 | 1.5846          |
-| 1.5781        | 0.87  | 1500 | 1.5025          |
+| 3.966         | 0.29  | 500  | 1.9185          |
+| 1.7559        | 0.58  | 1000 | 1.5872          |
+| 1.5804        | 0.87  | 1500 | 1.5045          |
 
 
 ### Framework versions
 
-- Transformers 4.35.2
-- Pytorch 2.1.0+cu121
-- Datasets 2.16.1
-- Tokenizers 0.15.1
+- Transformers 4.38.2
+- Pytorch 2.2.1+cu121
+- Datasets 2.18.0
+- Tokenizers 0.15.2

generation_config.json

@@ -2,5 +2,5 @@
   "_from_model_config": true,
   "bos_token_id": 50256,
   "eos_token_id": 50256,
-  "transformers_version": "4.35.2"
+  "transformers_version": "4.38.2"
 }

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:4db83021cca1d895efeff29fc23879351ab211c2c5a5cf641a7363fd32766405
+oid sha256:d5ffc9129ce8be26794956d03d9c5cef65104c8fef64dd07712e19fa17ab917b
 size 558670464