End of training

README.md

@@ -4,6 +4,7 @@ license: llama3.1
 base_model: meta-llama/Meta-Llama-3.1-8B
 tags:
 - llama-factory
+- full
 - generated_from_trainer
 model-index:
 - name: oh_v3-1_only_evol_instruct_140k
@@ -15,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 # oh_v3-1_only_evol_instruct_140k
 
-This model is a fine-tuned version of [meta-llama/Meta-Llama-3.1-8B](https://huggingface.co/meta-llama/Meta-Llama-3.1-8B) on an unknown dataset.
+This model is a fine-tuned version of [meta-llama/Meta-Llama-3.1-8B](https://huggingface.co/meta-llama/Meta-Llama-3.1-8B) on the mlfoundations-dev/oh_v3-1_only_evol_instruct_140k dataset.
 It achieves the following results on the evaluation set:
 - Loss: 0.8474
 

all_results.json

@@ -0,0 +1,12 @@
+{
+    "epoch": 2.9645776566757496,
+    "eval_loss": 0.8474076986312866,
+    "eval_runtime": 32.3173,
+    "eval_samples_per_second": 38.246,
+    "eval_steps_per_second": 0.619,
+    "total_flos": 225920648478720.0,
+    "train_loss": 0.840225980899952,
+    "train_runtime": 4572.4428,
+    "train_samples_per_second": 15.402,
+    "train_steps_per_second": 0.03
+}

eval_results.json

@@ -0,0 +1,7 @@
+{
+    "epoch": 2.9645776566757496,
+    "eval_loss": 0.8474076986312866,
+    "eval_runtime": 32.3173,
+    "eval_samples_per_second": 38.246,
+    "eval_steps_per_second": 0.619
+}

train_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 2.9645776566757496,
+    "total_flos": 225920648478720.0,
+    "train_loss": 0.840225980899952,
+    "train_runtime": 4572.4428,
+    "train_samples_per_second": 15.402,
+    "train_steps_per_second": 0.03
+}

trainer_state.json

@@ -0,0 +1,157 @@
+{
+  "best_metric": null,
+  "best_model_checkpoint": null,
+  "epoch": 2.9645776566757496,
+  "eval_steps": 500,
+  "global_step": 135,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 0.21798365122615804,
+      "grad_norm": 2.1800439383266883,
+      "learning_rate": 5e-06,
+      "loss": 1.0138,
+      "step": 10
+    },
+    {
+      "epoch": 0.4359673024523161,
+      "grad_norm": 2.321066726127001,
+      "learning_rate": 5e-06,
+      "loss": 0.9311,
+      "step": 20
+    },
+    {
+      "epoch": 0.6539509536784741,
+      "grad_norm": 1.2528230223771615,
+      "learning_rate": 5e-06,
+      "loss": 0.902,
+      "step": 30
+    },
+    {
+      "epoch": 0.8719346049046321,
+      "grad_norm": 1.3255206188515178,
+      "learning_rate": 5e-06,
+      "loss": 0.8817,
+      "step": 40
+    },
+    {
+      "epoch": 0.9809264305177112,
+      "eval_loss": 0.8728658556938171,
+      "eval_runtime": 32.8266,
+      "eval_samples_per_second": 37.652,
+      "eval_steps_per_second": 0.609,
+      "step": 45
+    },
+    {
+      "epoch": 1.1008174386920981,
+      "grad_norm": 1.1084771353250091,
+      "learning_rate": 5e-06,
+      "loss": 0.9119,
+      "step": 50
+    },
+    {
+      "epoch": 1.318801089918256,
+      "grad_norm": 1.1331211841837239,
+      "learning_rate": 5e-06,
+      "loss": 0.8201,
+      "step": 60
+    },
+    {
+      "epoch": 1.5367847411444142,
+      "grad_norm": 0.7209847897858535,
+      "learning_rate": 5e-06,
+      "loss": 0.8167,
+      "step": 70
+    },
+    {
+      "epoch": 1.7547683923705724,
+      "grad_norm": 0.6424432226183309,
+      "learning_rate": 5e-06,
+      "loss": 0.8136,
+      "step": 80
+    },
+    {
+      "epoch": 1.9727520435967303,
+      "grad_norm": 0.6477980910912198,
+      "learning_rate": 5e-06,
+      "loss": 0.8115,
+      "step": 90
+    },
+    {
+      "epoch": 1.9727520435967303,
+      "eval_loss": 0.8485425710678101,
+      "eval_runtime": 32.0874,
+      "eval_samples_per_second": 38.52,
+      "eval_steps_per_second": 0.623,
+      "step": 90
+    },
+    {
+      "epoch": 2.2016348773841963,
+      "grad_norm": 0.9029436230736683,
+      "learning_rate": 5e-06,
+      "loss": 0.8127,
+      "step": 100
+    },
+    {
+      "epoch": 2.4196185286103544,
+      "grad_norm": 0.6308547054658898,
+      "learning_rate": 5e-06,
+      "loss": 0.746,
+      "step": 110
+    },
+    {
+      "epoch": 2.637602179836512,
+      "grad_norm": 0.6233413271157902,
+      "learning_rate": 5e-06,
+      "loss": 0.7542,
+      "step": 120
+    },
+    {
+      "epoch": 2.8555858310626703,
+      "grad_norm": 0.6392219564241265,
+      "learning_rate": 5e-06,
+      "loss": 0.7547,
+      "step": 130
+    },
+    {
+      "epoch": 2.9645776566757496,
+      "eval_loss": 0.8474076986312866,
+      "eval_runtime": 32.1945,
+      "eval_samples_per_second": 38.392,
+      "eval_steps_per_second": 0.621,
+      "step": 135
+    },
+    {
+      "epoch": 2.9645776566757496,
+      "step": 135,
+      "total_flos": 225920648478720.0,
+      "train_loss": 0.840225980899952,
+      "train_runtime": 4572.4428,
+      "train_samples_per_second": 15.402,
+      "train_steps_per_second": 0.03
+    }
+  ],
+  "logging_steps": 10,
+  "max_steps": 135,
+  "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": 225920648478720.0,
+  "train_batch_size": 8,
+  "trial_name": null,
+  "trial_params": null
+}