Finished finetuning grade 8

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/qgwhra9y)
+[<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/lzy52ynq)
 # llama-text-simplification
 
 This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B](https://huggingface.co/meta-llama/Meta-Llama-3-8B) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.7013
+- Loss: 1.0017
 
 ## 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 |
 |:-------------:|:-----:|:----:|:---------------:|
-| 1.7806        | 1.0   | 612  | 1.7013          |
+| 1.1586        | 1.0   | 1326 | 1.0744          |
+| 1.0208        | 2.0   | 2652 | 1.0273          |
+| 0.9769        | 3.0   | 3978 | 1.0112          |
+| 0.947         | 4.0   | 5304 | 1.0038          |
+| 0.9234        | 5.0   | 6630 | 1.0017          |
 
 
 ### Framework versions

llama38b-grade-8-finetuned/adapter_config.json

@@ -20,14 +20,14 @@
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   "task_type": "CAUSAL_LM",
   "use_dora": false,

llama38b-grade-8-finetuned/adapter_model.bin

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training_args.bin

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