Finished 2-12 grades: all pretraining

README.md

@@ -12,12 +12,12 @@ model-index:
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 should probably proofread and complete it, then remove this comment. -->
 
-[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/uds/Graded%20text%20simplification%20training/runs/9j9cedyu)
+[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/uds/Graded%20text%20simplification%20training/runs/4mf11grk)
 # text-simplification
 
 This model is a fine-tuned version of [openai-community/gpt2](https://huggingface.co/openai-community/gpt2) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.3291
+- Loss: 0.9922
 
 ## Model description
 
@@ -42,13 +42,17 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 1
+- num_epochs: 5
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss |
-|:-------------:|:-----:|:----:|:---------------:|
-| 3.6563        | 1.0   | 235  | 1.3291          |
+| Training Loss | Epoch | Step  | Validation Loss |
+|:-------------:|:-----:|:-----:|:---------------:|
+| 1.4054        | 1.0   | 4932  | 1.0352          |
+| 1.0639        | 2.0   | 9864  | 0.9727          |
+| 1.0374        | 3.0   | 14796 | 0.9790          |
+| 1.0411        | 4.0   | 19728 | 0.9888          |
+| 1.045         | 5.0   | 24660 | 0.9922          |
 
 
 ### Framework versions

gpt2-2-12-all/adapter_config.json

@@ -20,9 +20,9 @@
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-    "lm_head",
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+    "lm_head",
+    "c_attn",
     "c_fc"
   ],
   "task_type": "CAUSAL_LM",

gpt2-2-12-all/adapter_model.bin

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training_args.bin

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