End of training

README.md

@@ -1,8 +1,6 @@
 ---
 base_model: google-t5/t5-small
 library_name: peft
-metrics:
-- accuracy
 tags:
 - generated_from_trainer
 model-index:
@@ -13,13 +11,10 @@ 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/zhuangc19/cs5740-sp24-assignment-4-Marcozc19/runs/d6yiwg8x)
+[<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/zhuangc19/cs5740-sp24-assignment-4-Marcozc19/runs/hj1n2hx5)
 # ft-t5-small-on-airlineDB
 
 This model is a fine-tuned version of [google t5-small](https://huggingface.co/google t5-small) on the custom airlineDB dataset.
-It achieves the following results on the evaluation set:
-- Loss: 0.0565
-- Accuracy: 0.1459
 
 ## Model description
 
@@ -44,15 +39,11 @@ 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: 2
+- num_epochs: 0
 - mixed_precision_training: Native AMP
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Accuracy |
-|:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.15          | 1.0   | 1057 | 0.0772          | 0.1202   |
-| 0.0957        | 2.0   | 2114 | 0.0565          | 0.1459   |
 
 
 ### Framework versions

adapter_config.json

@@ -20,9 +20,9 @@
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   "revision": null,
   "target_modules": [
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-    "k",
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+    "o",
     "q"
   ],
   "task_type": "SEQ_2_SEQ_LM",

adapter_model.safetensors

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training_args.bin

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