End of training

README.md

@@ -15,13 +15,13 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model was trained from scratch on the food101 dataset.
 It achieves the following results on the evaluation set:
-- eval_loss: 0.4482
-- eval_accuracy: 0.8876
-- eval_runtime: 155.8513
-- eval_samples_per_second: 97.208
-- eval_steps_per_second: 6.076
-- epoch: 50.69
-- step: 48000
+- eval_loss: 0.4567
+- eval_accuracy: 0.8867
+- eval_runtime: 154.5848
+- eval_samples_per_second: 98.004
+- eval_steps_per_second: 6.126
+- epoch: 51.74
+- step: 49000
 
 ## Model description
 

model.safetensors

@@ -1,3 +1,3 @@
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 size 343528508

runs/Feb06_02-52-53_2bd6d982b8e8/events.out.tfevents.1707187974.2bd6d982b8e8.26.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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-size 20161
+oid sha256:e2c9beb9b5fa19d65afa517a1aa40ae5c5c4cb09554bfc648a8c2fabae742d78
+size 20650

trainer_state.json

@@ -1,9 +1,9 @@
 {
  "best_metric": 0.9115511551155115,
  "best_model_checkpoint": "food-image-classification/checkpoint-35000",
- "epoch": 50.68637803590285,
+ "epoch": 51.74234424498416,
  "eval_steps": 1000,
- "global_step": 48000,
+ "global_step": 49000,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
@@ -727,6 +727,21 @@
  "eval_samples_per_second": 97.208,
  "eval_steps_per_second": 6.076,
  "step": 48000
+ },
+ {
+ "epoch": 51.74,
+ "learning_rate": 2.4287222808870115e-05,
+ "loss": 0.2201,
+ "step": 49000
+ },
+ {
+ "epoch": 51.74,
+ "eval_accuracy": 0.8867326732673267,
+ "eval_loss": 0.45674923062324524,
+ "eval_runtime": 154.5848,
+ "eval_samples_per_second": 98.004,
+ "eval_steps_per_second": 6.126,
+ "step": 49000
  }
  ],
  "logging_steps": 1000,
@@ -734,7 +749,7 @@
  "num_input_tokens_seen": 0,
  "num_train_epochs": 500,
  "save_steps": 1000,
- "total_flos": 2.382355956995484e+20,
+ "total_flos": 2.4319886313020522e+20,
  "train_batch_size": 16,
  "trial_name": null,
  "trial_params": null