End of training

README.md

@@ -15,11 +15,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [tigeryi/imagenet1k](https://huggingface.co/tigeryi/imagenet1k) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- eval_loss: 0.0970
-- eval_accuracy: 0.99
-- eval_runtime: 73.9943
-- eval_samples_per_second: 1.351
-- eval_steps_per_second: 0.054
+- eval_loss: 1.0213
+- eval_accuracy: 0.7542
+- eval_runtime: 189.3787
+- eval_samples_per_second: 52.804
+- eval_steps_per_second: 1.653
 - step: 0
 
 ## Model description

runs/May03_20-53-39_7deca0b8a2f9/events.out.tfevents.1714770243.7deca0b8a2f9.829.0

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+size 346

trainer_state.json

@@ -1,62 +1,29 @@
 {
-  "best_metric": 0.99,
-  "best_model_checkpoint": "imagenet-tiger/checkpoint-50",
-  "epoch": 2.0,
-  "eval_steps": 20,
-  "global_step": 50,
+  "best_metric": null,
+  "best_model_checkpoint": null,
+  "epoch": null,
+  "eval_steps": 500,
+  "global_step": 0,
   "is_hyper_param_search": false,
   "is_local_process_zero": true,
   "is_world_process_zero": true,
   "log_history": [
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-      "epoch": 0.8,
-      "grad_norm": 61.073822021484375,
-      "learning_rate": 6.545084971874738e-05,
-      "loss": 0.8141,
-      "step": 20
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-    {
-      "epoch": 1.0,
-      "eval_accuracy": 0.95,
-      "eval_loss": 0.2319546490907669,
-      "eval_runtime": 73.3596,
-      "eval_samples_per_second": 1.363,
-      "eval_steps_per_second": 0.341,
-      "step": 25
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-    {
-      "epoch": 1.6,
-      "grad_norm": 31.59669303894043,
-      "learning_rate": 9.549150281252633e-06,
-      "loss": 0.7293,
-      "step": 40
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-    {
-      "epoch": 2.0,
-      "eval_accuracy": 0.99,
-      "eval_loss": 0.09698653966188431,
-      "eval_runtime": 71.2695,
-      "eval_samples_per_second": 1.403,
-      "eval_steps_per_second": 0.351,
-      "step": 50
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-    {
-      "epoch": 2.0,
-      "step": 50,
-      "total_flos": 1.56304031514624e+16,
-      "train_loss": 0.6391802191734314,
-      "train_runtime": 660.382,
-      "train_samples_per_second": 0.303,
-      "train_steps_per_second": 0.076
+      "eval_accuracy": 0.7542,
+      "eval_loss": 1.0212748050689697,
+      "eval_runtime": 189.3787,
+      "eval_samples_per_second": 52.804,
+      "eval_steps_per_second": 1.653,
+      "step": 0
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   ],
-  "logging_steps": 20,
-  "max_steps": 50,
+  "logging_steps": 500,
+  "max_steps": 0,
   "num_input_tokens_seen": 0,
-  "num_train_epochs": 2,
-  "save_steps": 20,
-  "total_flos": 1.56304031514624e+16,
-  "train_batch_size": 4,
+  "num_train_epochs": 0,
+  "save_steps": 500,
+  "total_flos": 0,
+  "train_batch_size": null,
   "trial_name": null,
   "trial_params": null
 }

training_args.bin

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 size 4984