End of training

README.md

@@ -2,6 +2,7 @@
 library_name: peft
 tags:
 - llama-factory
+- lora
 - generated_from_trainer
 base_model: google/gemma-7b
 model-index:
@@ -14,9 +15,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 # Gemma_ei_oc_unstructured_train_5e-5
 
-This model is a fine-tuned version of [google/gemma-7b](https://huggingface.co/google/gemma-7b) on an unknown dataset.
+This model is a fine-tuned version of [google/gemma-7b](https://huggingface.co/google/gemma-7b) on the emollms_ei_oc_unstructured dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.1403
+- Loss: 0.1397
 
 ## Model description
 

all_results.json

@@ -0,0 +1,12 @@
+{
+    "epoch": 2.8828828828828827,
+    "eval_loss": 0.13966971635818481,
+    "eval_runtime": 57.7815,
+    "eval_samples_per_second": 25.337,
+    "eval_steps_per_second": 3.167,
+    "total_flos": 1.1914609852317696e+17,
+    "train_loss": 0.945058161020279,
+    "train_runtime": 2744.9763,
+    "train_samples_per_second": 7.762,
+    "train_steps_per_second": 0.03
+}

eval_results.json

@@ -0,0 +1,7 @@
+{
+    "epoch": 2.8828828828828827,
+    "eval_loss": 0.13966971635818481,
+    "eval_runtime": 57.7815,
+    "eval_samples_per_second": 25.337,
+    "eval_steps_per_second": 3.167
+}

train_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 2.8828828828828827,
+    "total_flos": 1.1914609852317696e+17,
+    "train_loss": 0.945058161020279,
+    "train_runtime": 2744.9763,
+    "train_samples_per_second": 7.762,
+    "train_steps_per_second": 0.03
+}

trainer_state.json

@@ -0,0 +1,171 @@
+{
+  "best_metric": 0.13966971635818481,
+  "best_model_checkpoint": "saves/Gemma-7B/lora/train_1/checkpoint-50",
+  "epoch": 2.8828828828828827,
+  "eval_steps": 10,
+  "global_step": 80,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 0.36036036036036034,
+      "grad_norm": 12.859936714172363,
+      "learning_rate": 4.814309923172227e-05,
+      "loss": 6.4386,
+      "step": 10
+    },
+    {
+      "epoch": 0.36036036036036034,
+      "eval_loss": 0.7805296778678894,
+      "eval_runtime": 58.0357,
+      "eval_samples_per_second": 25.226,
+      "eval_steps_per_second": 3.153,
+      "step": 10
+    },
+    {
+      "epoch": 0.7207207207207207,
+      "grad_norm": 2.831813335418701,
+      "learning_rate": 4.2848243363947484e-05,
+      "loss": 0.2931,
+      "step": 20
+    },
+    {
+      "epoch": 0.7207207207207207,
+      "eval_loss": 0.14660023152828217,
+      "eval_runtime": 58.018,
+      "eval_samples_per_second": 25.234,
+      "eval_steps_per_second": 3.154,
+      "step": 20
+    },
+    {
+      "epoch": 1.0810810810810811,
+      "grad_norm": 0.9679704308509827,
+      "learning_rate": 3.490199415097892e-05,
+      "loss": 0.1433,
+      "step": 30
+    },
+    {
+      "epoch": 1.0810810810810811,
+      "eval_loss": 0.142491415143013,
+      "eval_runtime": 58.0956,
+      "eval_samples_per_second": 25.2,
+      "eval_steps_per_second": 3.15,
+      "step": 30
+    },
+    {
+      "epoch": 1.4414414414414414,
+      "grad_norm": 0.43013083934783936,
+      "learning_rate": 2.548478329429561e-05,
+      "loss": 0.1384,
+      "step": 40
+    },
+    {
+      "epoch": 1.4414414414414414,
+      "eval_loss": 0.14014391601085663,
+      "eval_runtime": 58.0161,
+      "eval_samples_per_second": 25.234,
+      "eval_steps_per_second": 3.154,
+      "step": 40
+    },
+    {
+      "epoch": 1.8018018018018018,
+      "grad_norm": 0.21392107009887695,
+      "learning_rate": 1.5995556879882246e-05,
+      "loss": 0.137,
+      "step": 50
+    },
+    {
+      "epoch": 1.8018018018018018,
+      "eval_loss": 0.13966971635818481,
+      "eval_runtime": 58.0599,
+      "eval_samples_per_second": 25.215,
+      "eval_steps_per_second": 3.152,
+      "step": 50
+    },
+    {
+      "epoch": 2.1621621621621623,
+      "grad_norm": 0.3341553211212158,
+      "learning_rate": 7.843959053281663e-06,
+      "loss": 0.1392,
+      "step": 60
+    },
+    {
+      "epoch": 2.1621621621621623,
+      "eval_loss": 0.14178413152694702,
+      "eval_runtime": 58.0557,
+      "eval_samples_per_second": 25.217,
+      "eval_steps_per_second": 3.152,
+      "step": 60
+    },
+    {
+      "epoch": 2.5225225225225225,
+      "grad_norm": 0.27669599652290344,
+      "learning_rate": 2.2409264758463363e-06,
+      "loss": 0.1357,
+      "step": 70
+    },
+    {
+      "epoch": 2.5225225225225225,
+      "eval_loss": 0.14104121923446655,
+      "eval_runtime": 57.9995,
+      "eval_samples_per_second": 25.242,
+      "eval_steps_per_second": 3.155,
+      "step": 70
+    },
+    {
+      "epoch": 2.8828828828828827,
+      "grad_norm": 0.3385619521141052,
+      "learning_rate": 1.8801187394248965e-08,
+      "loss": 0.1351,
+      "step": 80
+    },
+    {
+      "epoch": 2.8828828828828827,
+      "eval_loss": 0.1403447389602661,
+      "eval_runtime": 58.0503,
+      "eval_samples_per_second": 25.22,
+      "eval_steps_per_second": 3.152,
+      "step": 80
+    },
+    {
+      "epoch": 2.8828828828828827,
+      "step": 80,
+      "total_flos": 1.1914609852317696e+17,
+      "train_loss": 0.945058161020279,
+      "train_runtime": 2744.9763,
+      "train_samples_per_second": 7.762,
+      "train_steps_per_second": 0.03
+    }
+  ],
+  "logging_steps": 10,
+  "max_steps": 81,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 3,
+  "save_steps": 10,
+  "stateful_callbacks": {
+    "EarlyStoppingCallback": {
+      "args": {
+        "early_stopping_patience": 3,
+        "early_stopping_threshold": 0.0
+      },
+      "attributes": {
+        "early_stopping_patience_counter": 0
+      }
+    },
+    "TrainerControl": {
+      "args": {
+        "should_epoch_stop": false,
+        "should_evaluate": false,
+        "should_log": false,
+        "should_save": true,
+        "should_training_stop": true
+      },
+      "attributes": {}
+    }
+  },
+  "total_flos": 1.1914609852317696e+17,
+  "train_batch_size": 32,
+  "trial_name": null,
+  "trial_params": null
+}