MHGanainy/16-clusters-balanced-1

README.md

@@ -15,6 +15,8 @@ should probably proofread and complete it, then remove this comment. -->
 # 16-clusters-balanced-1
 
 This model is a fine-tuned version of [openai-community/gpt2-xl](https://huggingface.co/openai-community/gpt2-xl) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.7619
 
 ## Model description
 

all_results.json

@@ -0,0 +1,13 @@
+{
+    "epoch": 1.0,
+    "eval_loss": 1.7619487047195435,
+    "eval_runtime": 2.6932,
+    "eval_samples_per_second": 13.738,
+    "eval_steps_per_second": 1.857,
+    "perplexity": 5.82377516197782,
+    "total_flos": 1.27303437975552e+16,
+    "train_loss": 2.136012787315543,
+    "train_runtime": 218.6299,
+    "train_samples_per_second": 6.408,
+    "train_steps_per_second": 3.206
+}

eval_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 1.0,
+    "eval_loss": 1.7619487047195435,
+    "eval_runtime": 2.6932,
+    "eval_samples_per_second": 13.738,
+    "eval_steps_per_second": 1.857,
+    "perplexity": 5.82377516197782
+}

train_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 1.0,
+    "total_flos": 1.27303437975552e+16,
+    "train_loss": 2.136012787315543,
+    "train_runtime": 218.6299,
+    "train_samples_per_second": 6.408,
+    "train_steps_per_second": 3.206
+}

trainer_state.json

@@ -0,0 +1,91 @@
+{
+  "best_metric": null,
+  "best_model_checkpoint": null,
+  "epoch": 1.0,
+  "eval_steps": 500,
+  "global_step": 701,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
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+      "grad_norm": 0.18888814747333527,
+      "learning_rate": 6.666666666666667e-06,
+      "loss": 2.3747,
+      "step": 100
+    },
+    {
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+      "grad_norm": 0.19710859656333923,
+      "learning_rate": 1.3333333333333333e-05,
+      "loss": 2.3565,
+      "step": 200
+    },
+    {
+      "epoch": 0.42796005706134094,
+      "grad_norm": 0.3654402792453766,
+      "learning_rate": 2e-05,
+      "loss": 2.2623,
+      "step": 300
+    },
+    {
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+      "grad_norm": 0.49523496627807617,
+      "learning_rate": 1.7084903626036743e-05,
+      "loss": 2.1081,
+      "step": 400
+    },
+    {
+      "epoch": 0.7132667617689016,
+      "grad_norm": 0.6492739319801331,
+      "learning_rate": 1.003917187804572e-05,
+      "loss": 2.0141,
+      "step": 500
+    },
+    {
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+      "grad_norm": 0.6684784293174744,
+      "learning_rate": 2.9706021701242127e-06,
+      "loss": 1.9425,
+      "step": 600
+    },
+    {
+      "epoch": 0.9985734664764622,
+      "grad_norm": 0.7805252075195312,
+      "learning_rate": 3.068872059253103e-10,
+      "loss": 1.8983,
+      "step": 700
+    },
+    {
+      "epoch": 1.0,
+      "step": 701,
+      "total_flos": 1.27303437975552e+16,
+      "train_loss": 2.136012787315543,
+      "train_runtime": 218.6299,
+      "train_samples_per_second": 6.408,
+      "train_steps_per_second": 3.206
+    }
+  ],
+  "logging_steps": 100,
+  "max_steps": 701,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 1,
+  "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": 1.27303437975552e+16,
+  "train_batch_size": 2,
+  "trial_name": null,
+  "trial_params": null
+}