End of training

README.md

@@ -15,7 +15,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [distilgpt2](https://huggingface.co/distilgpt2) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 3.7544
+- Loss: 3.4561
 
 ## Model description
 
@@ -44,16 +44,16 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss |
-|:-------------:|:-----:|:----:|:---------------:|
-| 3.8669        | 1.0   | 1129 | 3.7729          |
-| 3.7689        | 2.0   | 2258 | 3.7574          |
-| 3.7261        | 3.0   | 3387 | 3.7544          |
+| Training Loss | Epoch | Step   | Validation Loss |
+|:-------------:|:-----:|:------:|:---------------:|
+| 3.6           | 1.0   | 37821  | 3.5046          |
+| 3.5554        | 2.0   | 75642  | 3.4672          |
+| 3.5097        | 3.0   | 113463 | 3.4561          |
 
 
 ### Framework versions
 
-- Transformers 4.33.2
+- Transformers 4.34.0
 - Pytorch 2.1.0+cu121
 - Datasets 2.14.5
-- Tokenizers 0.13.3
+- Tokenizers 0.14.1

generation_config.json

@@ -2,5 +2,5 @@
   "_from_model_config": true,
   "bos_token_id": 50256,
   "eos_token_id": 50256,
-  "transformers_version": "4.33.2"
+  "transformers_version": "4.34.0"
 }

pytorch_model.bin

@@ -1,3 +1,3 @@
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+oid sha256:4401e5913eeadf1f9974432302bc95e1b75d2316cb2785b1a256fe8af0d8aee2
 size 327675282