Model save

README.md

@@ -1,8 +1,8 @@
 ---
 license: mit
+base_model: gpt2
 tags:
 - generated_from_trainer
-base_model: gpt2
 model-index:
 - name: gpt2-evy
   results: []
@@ -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 an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.3991
+- Loss: 1.4133
 
 ## Model description
 
@@ -35,24 +35,25 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 5e-05
-- train_batch_size: 8
+- train_batch_size: 2
 - eval_batch_size: 8
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 10
+- num_epochs: 30
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| No log        | 1.0   | 9    | 1.4371          |
-| No log        | 2.0   | 18   | 1.4023          |
-| No log        | 3.0   | 27   | 1.3955          |
-| No log        | 4.0   | 36   | 1.3857          |
-| No log        | 5.0   | 45   | 1.4087          |
-| No log        | 6.0   | 54   | 1.3965          |
-| No log        | 7.0   | 63   | 1.3991          |
+| No log        | 1.0   | 33   | 1.5813          |
+| No log        | 2.0   | 66   | 1.4495          |
+| No log        | 3.0   | 99   | 1.3895          |
+| 1.2781        | 4.0   | 132  | 1.3991          |
+| 1.2781        | 5.0   | 165  | 1.3767          |
+| 1.2781        | 6.0   | 198  | 1.3997          |
+| 0.8685        | 7.0   | 231  | 1.3969          |
+| 0.8685        | 8.0   | 264  | 1.4133          |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:b53a0186dbd91cca0b2acf59bda9b0b494b688a9e1026d35afcb25623de1191f
+oid sha256:c1c330e04ee04ebdba3f4756b876aeb1711c09780ea38761cb42fb425e40e424
 size 497774208