MHGanainy/16-clusters-balanced-13

README.md

@@ -15,6 +15,8 @@ should probably proofread and complete it, then remove this comment. -->
 # 16-clusters-balanced-13
 
 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: 1.8494
 
 ## Model description
 

all_results.json

@@ -0,0 +1,13 @@
+{
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+    "eval_loss": 1.8493812084197998,
+    "eval_runtime": 19.7331,
+    "eval_samples_per_second": 13.733,
+    "eval_steps_per_second": 1.723,
+    "perplexity": 6.355885337175596,
+    "total_flos": 2.2852829872128e+16,
+    "train_loss": 2.0900387422837587,
+    "train_runtime": 392.7068,
+    "train_samples_per_second": 6.404,
+    "train_steps_per_second": 3.203
+}

eval_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 1.0,
+    "eval_loss": 1.8493812084197998,
+    "eval_runtime": 19.7331,
+    "eval_samples_per_second": 13.733,
+    "eval_steps_per_second": 1.723,
+    "perplexity": 6.355885337175596
+}

train_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 1.0,
+    "total_flos": 2.2852829872128e+16,
+    "train_loss": 2.0900387422837587,
+    "train_runtime": 392.7068,
+    "train_samples_per_second": 6.404,
+    "train_steps_per_second": 3.203
+}

trainer_state.json

@@ -0,0 +1,126 @@
+{
+  "best_metric": null,
+  "best_model_checkpoint": null,
+  "epoch": 1.0,
+  "eval_steps": 500,
+  "global_step": 1258,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
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+      "train_runtime": 392.7068,
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+  ],
+  "logging_steps": 100,
+  "max_steps": 1258,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 1,
+  "save_steps": 500,
+  "stateful_callbacks": {
+    "TrainerControl": {
+      "args": {
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+        "should_evaluate": false,
+        "should_log": false,
+        "should_save": true,
+        "should_training_stop": true
+      },
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+    }
+  },
+  "total_flos": 2.2852829872128e+16,
+  "train_batch_size": 2,
+  "trial_name": null,
+  "trial_params": null
+}