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: 1234
+- seed: 5678
 - gradient_accumulation_steps: 4
 - total_train_batch_size: 8
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08

adapter_config.json

@@ -20,10 +20,10 @@
   "rank_pattern": {},
   "revision": null,
   "target_modules": [
-    "v_proj",
     "k_proj",
     "q_proj",
-    "o_proj"
+    "o_proj",
+    "v_proj"
   ],
   "task_type": "CAUSAL_LM",
   "use_dora": false,

adapter_model.safetensors

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

@@ -12,3 +12,9 @@
 {"epoch": 4.0, "precision": 1, "recall": 0.0, "fold": 0}
 {"epoch": 4.96, "precision": 1, "recall": 0.0, "fold": 0}
 {"epoch": 5.76, "precision": 1, "recall": 0.0, "fold": 0}
+{"epoch": 0.96, "precision": 0.42857142244897967, "recall": 0.7499999812500004, "fold": 0}
+{"epoch": 2.0, "precision": 0.7499999812500004, "recall": 0.9999999666666678, "fold": 0}
+{"epoch": 2.96, "precision": 0.9999999500000026, "recall": 0.6666666444444452, "fold": 0}
+{"epoch": 4.0, "precision": 0.9999999500000026, "recall": 0.6666666444444452, "fold": 0}
+{"epoch": 4.96, "precision": 0.9999999500000026, "recall": 0.6666666444444452, "fold": 0}
+{"epoch": 5.76, "precision": 0.9999999000000099, "recall": 0.3333333222222226, "fold": 0}

metrics_epoch_0.96_fold_0_lr_1e-05_seed_5678_weight_2.0.json

@@ -0,0 +1 @@
+{"epoch": 0.96, "precision": 0.42857142244897967, "recall": 0.7499999812500004, "fold": 0}

metrics_epoch_2.0_fold_0_lr_1e-05_seed_5678_weight_2.0.json

@@ -0,0 +1 @@
+{"epoch": 2.0, "precision": 0.7499999812500004, "recall": 0.9999999666666678, "fold": 0}

metrics_epoch_2.96_fold_0_lr_1e-05_seed_5678_weight_2.0.json

@@ -0,0 +1 @@
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metrics_epoch_4.0_fold_0_lr_1e-05_seed_5678_weight_2.0.json

@@ -0,0 +1 @@
+{"epoch": 4.0, "precision": 0.9999999500000026, "recall": 0.6666666444444452, "fold": 0}

metrics_epoch_4.96_fold_0_lr_1e-05_seed_5678_weight_2.0.json

@@ -0,0 +1 @@
+{"epoch": 4.96, "precision": 0.9999999500000026, "recall": 0.6666666444444452, "fold": 0}

metrics_epoch_5.76_fold_0_lr_1e-05_seed_5678_weight_2.0.json

@@ -0,0 +1 @@
+{"epoch": 5.76, "precision": 0.9999999000000099, "recall": 0.3333333222222226, "fold": 0}

training_args.bin

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