End of training

README.md

@@ -4,6 +4,7 @@ license: gemma
 base_model: google/gemma-2-9b
 tags:
 - llama-factory
+- full
 - generated_from_trainer
 model-index:
 - name: hp_ablations_gemma_bsz2048
@@ -15,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 # hp_ablations_gemma_bsz2048
 
-This model is a fine-tuned version of [google/gemma-2-9b](https://huggingface.co/google/gemma-2-9b) on an unknown dataset.
+This model is a fine-tuned version of [google/gemma-2-9b](https://huggingface.co/google/gemma-2-9b) on the mlfoundations-dev/oh-dcft-v3.1-gpt-4o-mini dataset.
 It achieves the following results on the evaluation set:
 - Loss: 0.5886
 

all_results.json

@@ -0,0 +1,12 @@
+{
+    "epoch": 2.9870276367738295,
+    "eval_loss": 0.5885838866233826,
+    "eval_runtime": 183.0763,
+    "eval_samples_per_second": 65.224,
+    "eval_steps_per_second": 0.513,
+    "total_flos": 5029184170622976.0,
+    "train_loss": 0.5836054007212321,
+    "train_runtime": 30988.084,
+    "train_samples_per_second": 21.964,
+    "train_steps_per_second": 0.011
+}

eval_results.json

@@ -0,0 +1,7 @@
+{
+    "epoch": 2.9870276367738295,
+    "eval_loss": 0.5885838866233826,
+    "eval_runtime": 183.0763,
+    "eval_samples_per_second": 65.224,
+    "eval_steps_per_second": 0.513
+}

train_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 2.9870276367738295,
+    "total_flos": 5029184170622976.0,
+    "train_loss": 0.5836054007212321,
+    "train_runtime": 30988.084,
+    "train_samples_per_second": 21.964,
+    "train_steps_per_second": 0.011
+}

trainer_state.json

@@ -0,0 +1,297 @@
+{
+  "best_metric": null,
+  "best_model_checkpoint": null,
+  "epoch": 2.9870276367738295,
+  "eval_steps": 500,
+  "global_step": 330,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 0.09024252679075014,
+      "grad_norm": 1.0283902937545022,
+      "learning_rate": 5e-06,
+      "loss": 0.7434,
+      "step": 10
+    },
+    {
+      "epoch": 0.18048505358150027,
+      "grad_norm": 0.5152802784289524,
+      "learning_rate": 5e-06,
+      "loss": 0.6665,
+      "step": 20
+    },
+    {
+      "epoch": 0.2707275803722504,
+      "grad_norm": 0.7590056398823692,
+      "learning_rate": 5e-06,
+      "loss": 0.6466,
+      "step": 30
+    },
+    {
+      "epoch": 0.36097010716300054,
+      "grad_norm": 0.7655846434515482,
+      "learning_rate": 5e-06,
+      "loss": 0.6338,
+      "step": 40
+    },
+    {
+      "epoch": 0.4512126339537507,
+      "grad_norm": 0.38482451954850594,
+      "learning_rate": 5e-06,
+      "loss": 0.6242,
+      "step": 50
+    },
+    {
+      "epoch": 0.5414551607445008,
+      "grad_norm": 0.5243651524485891,
+      "learning_rate": 5e-06,
+      "loss": 0.618,
+      "step": 60
+    },
+    {
+      "epoch": 0.631697687535251,
+      "grad_norm": 0.4396733673138487,
+      "learning_rate": 5e-06,
+      "loss": 0.6136,
+      "step": 70
+    },
+    {
+      "epoch": 0.7219402143260011,
+      "grad_norm": 0.7869802084155179,
+      "learning_rate": 5e-06,
+      "loss": 0.6119,
+      "step": 80
+    },
+    {
+      "epoch": 0.8121827411167513,
+      "grad_norm": 0.7764319290422358,
+      "learning_rate": 5e-06,
+      "loss": 0.6074,
+      "step": 90
+    },
+    {
+      "epoch": 0.9024252679075014,
+      "grad_norm": 0.5476035261750426,
+      "learning_rate": 5e-06,
+      "loss": 0.6088,
+      "step": 100
+    },
+    {
+      "epoch": 0.9926677946982515,
+      "grad_norm": 0.5918273069691898,
+      "learning_rate": 5e-06,
+      "loss": 0.6031,
+      "step": 110
+    },
+    {
+      "epoch": 0.9926677946982515,
+      "eval_loss": 0.601691484451294,
+      "eval_runtime": 182.572,
+      "eval_samples_per_second": 65.404,
+      "eval_steps_per_second": 0.515,
+      "step": 110
+    },
+    {
+      "epoch": 1.0874224478285393,
+      "grad_norm": 0.45356068248876164,
+      "learning_rate": 5e-06,
+      "loss": 0.6161,
+      "step": 120
+    },
+    {
+      "epoch": 1.1776649746192893,
+      "grad_norm": 0.5426773823607075,
+      "learning_rate": 5e-06,
+      "loss": 0.5733,
+      "step": 130
+    },
+    {
+      "epoch": 1.2679075014100394,
+      "grad_norm": 0.696280155344761,
+      "learning_rate": 5e-06,
+      "loss": 0.5743,
+      "step": 140
+    },
+    {
+      "epoch": 1.3581500282007897,
+      "grad_norm": 0.4757051970498703,
+      "learning_rate": 5e-06,
+      "loss": 0.5749,
+      "step": 150
+    },
+    {
+      "epoch": 1.4483925549915397,
+      "grad_norm": 0.4435543406215925,
+      "learning_rate": 5e-06,
+      "loss": 0.5699,
+      "step": 160
+    },
+    {
+      "epoch": 1.53863508178229,
+      "grad_norm": 0.7010821324607621,
+      "learning_rate": 5e-06,
+      "loss": 0.5713,
+      "step": 170
+    },
+    {
+      "epoch": 1.62887760857304,
+      "grad_norm": 0.6395686381010692,
+      "learning_rate": 5e-06,
+      "loss": 0.5726,
+      "step": 180
+    },
+    {
+      "epoch": 1.7191201353637902,
+      "grad_norm": 0.5342836767987817,
+      "learning_rate": 5e-06,
+      "loss": 0.571,
+      "step": 190
+    },
+    {
+      "epoch": 1.8093626621545402,
+      "grad_norm": 0.3836821654226498,
+      "learning_rate": 5e-06,
+      "loss": 0.5663,
+      "step": 200
+    },
+    {
+      "epoch": 1.8996051889452905,
+      "grad_norm": 0.8522337416083936,
+      "learning_rate": 5e-06,
+      "loss": 0.5699,
+      "step": 210
+    },
+    {
+      "epoch": 1.9898477157360406,
+      "grad_norm": 0.47597229963199594,
+      "learning_rate": 5e-06,
+      "loss": 0.567,
+      "step": 220
+    },
+    {
+      "epoch": 1.9898477157360406,
+      "eval_loss": 0.5897566080093384,
+      "eval_runtime": 182.7531,
+      "eval_samples_per_second": 65.34,
+      "eval_steps_per_second": 0.514,
+      "step": 220
+    },
+    {
+      "epoch": 2.0846023688663284,
+      "grad_norm": 0.5352597999178058,
+      "learning_rate": 5e-06,
+      "loss": 0.5744,
+      "step": 230
+    },
+    {
+      "epoch": 2.1748448956570785,
+      "grad_norm": 0.44771041154564994,
+      "learning_rate": 5e-06,
+      "loss": 0.5402,
+      "step": 240
+    },
+    {
+      "epoch": 2.2650874224478286,
+      "grad_norm": 0.4219614084617865,
+      "learning_rate": 5e-06,
+      "loss": 0.5316,
+      "step": 250
+    },
+    {
+      "epoch": 2.3553299492385786,
+      "grad_norm": 0.8733260275373232,
+      "learning_rate": 5e-06,
+      "loss": 0.54,
+      "step": 260
+    },
+    {
+      "epoch": 2.4455724760293287,
+      "grad_norm": 0.6912064073833414,
+      "learning_rate": 5e-06,
+      "loss": 0.5365,
+      "step": 270
+    },
+    {
+      "epoch": 2.5358150028200788,
+      "grad_norm": 0.48480317311945764,
+      "learning_rate": 5e-06,
+      "loss": 0.5379,
+      "step": 280
+    },
+    {
+      "epoch": 2.6260575296108293,
+      "grad_norm": 0.5627905970494923,
+      "learning_rate": 5e-06,
+      "loss": 0.5372,
+      "step": 290
+    },
+    {
+      "epoch": 2.7163000564015793,
+      "grad_norm": 0.9254178480304499,
+      "learning_rate": 5e-06,
+      "loss": 0.5385,
+      "step": 300
+    },
+    {
+      "epoch": 2.8065425831923294,
+      "grad_norm": 0.5677460820623565,
+      "learning_rate": 5e-06,
+      "loss": 0.5411,
+      "step": 310
+    },
+    {
+      "epoch": 2.8967851099830795,
+      "grad_norm": 0.5115776135415467,
+      "learning_rate": 5e-06,
+      "loss": 0.5393,
+      "step": 320
+    },
+    {
+      "epoch": 2.9870276367738295,
+      "grad_norm": 0.49851601671823487,
+      "learning_rate": 5e-06,
+      "loss": 0.5383,
+      "step": 330
+    },
+    {
+      "epoch": 2.9870276367738295,
+      "eval_loss": 0.5885838866233826,
+      "eval_runtime": 182.3352,
+      "eval_samples_per_second": 65.489,
+      "eval_steps_per_second": 0.516,
+      "step": 330
+    },
+    {
+      "epoch": 2.9870276367738295,
+      "step": 330,
+      "total_flos": 5029184170622976.0,
+      "train_loss": 0.5836054007212321,
+      "train_runtime": 30988.084,
+      "train_samples_per_second": 21.964,
+      "train_steps_per_second": 0.011
+    }
+  ],
+  "logging_steps": 10,
+  "max_steps": 330,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 3,
+  "save_steps": 500,
+  "stateful_callbacks": {
+    "TrainerControl": {
+      "args": {
+        "should_epoch_stop": false,
+        "should_evaluate": false,
+        "should_log": false,
+        "should_save": true,
+        "should_training_stop": true
+      },
+      "attributes": {}
+    }
+  },
+  "total_flos": 5029184170622976.0,
+  "train_batch_size": 4,
+  "trial_name": null,
+  "trial_params": null
+}