End of training

README.md

@@ -16,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [distilgpt2](https://huggingface.co/distilgpt2) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 3.7573
+- Loss: 3.6413
 
 ## Model description
 
@@ -36,8 +36,8 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 2e-05
-- train_batch_size: 64
-- eval_batch_size: 64
+- train_batch_size: 8
+- eval_batch_size: 8
 - seed: 42
 - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
 - lr_scheduler_type: linear
@@ -47,14 +47,14 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| No log        | 1.0   | 292  | 3.8125          |
-| 0.4959        | 2.0   | 584  | 3.7696          |
-| 0.4959        | 3.0   | 876  | 3.7573          |
+| 3.7199        | 1.0   | 2334 | 3.6651          |
+| 3.6182        | 2.0   | 4668 | 3.6454          |
+| 3.5735        | 3.0   | 7002 | 3.6413          |
 
 
 ### Framework versions
 
-- Transformers 4.53.0
+- Transformers 4.55.4
 - Pytorch 2.7.0+gitf717b2a
-- Datasets 4.0.0
+- Datasets 3.6.0
 - Tokenizers 0.21.4

generation_config.json

@@ -2,5 +2,5 @@
   "_from_model_config": true,
   "bos_token_id": 50256,
   "eos_token_id": 50256,
-  "transformers_version": "4.53.0"
+  "transformers_version": "4.55.4"
 }

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:ec70ecaefc51fb9a7a91b07c44415b02948c953b7b350a0764777cbbae25bf0a
+oid sha256:947194daaafca7a6bed3bf9f4858cca213d0b6274a2cb67638ddb217d2651c00
 size 327657928