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: 3.6429
+- Loss: 3.6672
 
 ## Model description
 
@@ -35,8 +35,8 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 2e-05
-- train_batch_size: 8
-- eval_batch_size: 8
+- train_batch_size: 32
+- eval_batch_size: 32
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
@@ -46,14 +46,14 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| 3.7569        | 1.0   | 2334 | 3.6671          |
-| 3.6413        | 2.0   | 4668 | 3.6477          |
-| 3.596         | 3.0   | 7002 | 3.6429          |
+| 3.9131        | 1.0   | 584  | 3.6986          |
+| 3.7512        | 2.0   | 1168 | 3.6743          |
+| 3.7008        | 3.0   | 1752 | 3.6672          |
 
 
 ### Framework versions
 
-- Transformers 4.34.0
-- Pytorch 2.0.1+cu118
-- Datasets 2.14.5
-- Tokenizers 0.14.1
+- Transformers 4.32.1
+- Pytorch 2.1.0+cu118
+- Datasets 2.12.0
+- Tokenizers 0.13.2

generation_config.json

@@ -2,5 +2,5 @@
   "_from_model_config": true,
   "bos_token_id": 50256,
   "eos_token_id": 50256,
-  "transformers_version": "4.34.0"
+  "transformers_version": "4.32.1"
 }

pytorch_model.bin

@@ -1,3 +1,3 @@
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+oid sha256:ad454fb7f873bf422a8d629fb97d93bf2d62cb7a2532740e09fbb2772cb34e09
 size 327675282