End of training

README.md

@@ -38,7 +38,7 @@ The following hyperparameters were used during training:
 - learning_rate: 1e-05
 - train_batch_size: 2
 - eval_batch_size: 3
-- seed: 5678
+- seed: 9012
 - gradient_accumulation_steps: 4
 - total_train_batch_size: 8
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08

adapter_config.json

@@ -20,8 +20,8 @@
   "rank_pattern": {},
   "revision": null,
   "target_modules": [
-    "k_proj",
     "q_proj",
+    "k_proj",
     "o_proj",
     "v_proj"
   ],

adapter_model.safetensors

@@ -1,3 +1,3 @@
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metrics.jsonl

@@ -24,3 +24,9 @@
 {"epoch": 4.0, "precision": 0.9999999000000099, "recall": 0.3333333222222226, "fold": 0}
 {"epoch": 4.96, "precision": 0.9999999000000099, "recall": 0.3333333222222226, "fold": 0}
 {"epoch": 5.76, "precision": 0.9999999000000099, "recall": 0.3333333222222226, "fold": 0}
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+{"epoch": 1.9607843137254903, "precision": 0.6666666555555557, "recall": 0.9999999750000006, "fold": 0}
+{"epoch": 2.980392156862745, "precision": 0.9999999666666678, "recall": 0.7499999812500004, "fold": 0}
+{"epoch": 4.0, "precision": 0.9999999500000026, "recall": 0.4999999875000003, "fold": 0}
+{"epoch": 4.9411764705882355, "precision": 0.9999999500000026, "recall": 0.4999999875000003, "fold": 0}
+{"epoch": 5.647058823529412, "precision": 0.9999999000000099, "recall": 0.24999999375000015, "fold": 0}

metrics_epoch_0.9411764705882353_fold_0_lr_1e-05_seed_9012_weight_2.0.json

@@ -0,0 +1 @@
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metrics_epoch_1.9607843137254903_fold_0_lr_1e-05_seed_9012_weight_2.0.json

@@ -0,0 +1 @@
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metrics_epoch_2.980392156862745_fold_0_lr_1e-05_seed_9012_weight_2.0.json

@@ -0,0 +1 @@
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metrics_epoch_4.0_fold_0_lr_1e-05_seed_9012_weight_2.0.json

@@ -0,0 +1 @@
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metrics_epoch_4.9411764705882355_fold_0_lr_1e-05_seed_9012_weight_2.0.json

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metrics_epoch_5.647058823529412_fold_0_lr_1e-05_seed_9012_weight_2.0.json

@@ -0,0 +1 @@
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training_args.bin

@@ -1,3 +1,3 @@
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 size 5368