End of training

README.md

@@ -1,6 +1,4 @@
 ---
-license: mit
-base_model: gpt2
 tags:
 - generated_from_trainer
 model-index:
@@ -13,14 +11,14 @@ should probably proofread and complete it, then remove this comment. -->
 
 # controlled-food-recipe-generation
 
-This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an unknown dataset.
+This model was trained from scratch on an unknown dataset.
 It achieves the following results on the evaluation set:
-- eval_loss: 6.9974
-- eval_runtime: 0.0211
-- eval_samples_per_second: 47.457
-- eval_steps_per_second: 47.457
-- epoch: 15.0
-- step: 15
+- eval_loss: 4.0246
+- eval_runtime: 0.0201
+- eval_samples_per_second: 49.72
+- eval_steps_per_second: 49.72
+- epoch: 17.0
+- step: 17
 
 ## Model description
 

config.json

@@ -1,5 +1,5 @@
 {
-  "_name_or_path": "gpt2",
+  "_name_or_path": "/kaggle/working/controlled-food-recipe-generation",
   "activation_function": "gelu_new",
   "architectures": [
     "GPT2LMHeadModel"

logs/events.out.tfevents.1707026005.d77ab3a64c5c.34.0

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+oid sha256:da95de961c5fb3d0a3f1731fe1c2359a0c7bf25b33787bc95384f23fe090c360
+size 11353

logs/events.out.tfevents.1707026588.d77ab3a64c5c.34.1

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model.safetensors

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+oid sha256:5c5c324b6aa17b080b6e2d404e011302113fe31203e74eff5f0ef92d145c737b
 size 497918592

trainer_state.json

@@ -1,9 +1,9 @@
 {
-  "best_metric": 9.170014381408691,
-  "best_model_checkpoint": "controlled-food-recipe-generation/checkpoint-14",
-  "epoch": 15.0,
+  "best_metric": 6.997350215911865,
+  "best_model_checkpoint": "controlled-food-recipe-generation/checkpoint-15",
+  "epoch": 17.0,
   "eval_steps": 1,
-  "global_step": 15,
+  "global_step": 17,
   "is_hyper_param_search": false,
   "is_local_process_zero": true,
   "is_world_process_zero": true,
@@ -217,6 +217,34 @@
       "eval_samples_per_second": 47.457,
       "eval_steps_per_second": 47.457,
       "step": 15
+    },
+    {
+      "epoch": 16.0,
+      "learning_rate": 4.600000000000001e-05,
+      "loss": 5.6621,
+      "step": 16
+    },
+    {
+      "epoch": 16.0,
+      "eval_loss": 4.715316295623779,
+      "eval_runtime": 0.0208,
+      "eval_samples_per_second": 48.084,
+      "eval_steps_per_second": 48.084,
+      "step": 16
+    },
+    {
+      "epoch": 17.0,
+      "learning_rate": 5e-05,
+      "loss": 5.8038,
+      "step": 17
+    },
+    {
+      "epoch": 17.0,
+      "eval_loss": 4.024607181549072,
+      "eval_runtime": 0.0201,
+      "eval_samples_per_second": 49.72,
+      "eval_steps_per_second": 49.72,
+      "step": 17
     }
   ],
   "logging_steps": 1,
@@ -224,7 +252,7 @@
   "num_input_tokens_seen": 0,
   "num_train_epochs": 100,
   "save_steps": 1,
-  "total_flos": 8818606080000.0,
+  "total_flos": 9994420224000.0,
   "train_batch_size": 32,
   "trial_name": null,
   "trial_params": null