End of training
Browse files- README.md +2 -2
- all_results.json +13 -0
- eval_results.json +8 -0
- runs/Apr02_13-11-59_f0bd5f0ad1a3/events.out.tfevents.1712065229.f0bd5f0ad1a3.1876.1 +3 -0
- train_results.json +8 -0
- trainer_state.json +575 -0
README.md
CHANGED
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@@ -17,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
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This model is a fine-tuned version of [google/vit-base-patch16-224](https://huggingface.co/google/vit-base-patch16-224) on an unknown dataset.
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It achieves the following results on the evaluation set:
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-
- Loss: 0.
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-
- Accuracy: 0.
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## Model description
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This model is a fine-tuned version of [google/vit-base-patch16-224](https://huggingface.co/google/vit-base-patch16-224) on an unknown dataset.
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It achieves the following results on the evaluation set:
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+
- Loss: 0.7215
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- Accuracy: 0.85
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## Model description
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all_results.json
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{
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"epoch": 37.94,
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"eval_accuracy": 0.85,
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"eval_loss": 0.7214663028717041,
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"eval_runtime": 1.681,
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"eval_samples_per_second": 35.694,
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"eval_steps_per_second": 1.19,
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"total_flos": 2.864620236542755e+18,
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"train_loss": 0.20484183196510589,
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"train_runtime": 1635.0256,
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| 11 |
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"train_samples_per_second": 25.02,
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| 12 |
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"train_steps_per_second": 0.18
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}
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eval_results.json
ADDED
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@@ -0,0 +1,8 @@
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{
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"epoch": 37.94,
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+
"eval_accuracy": 0.85,
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+
"eval_loss": 0.7214663028717041,
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| 5 |
+
"eval_runtime": 1.681,
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"eval_samples_per_second": 35.694,
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"eval_steps_per_second": 1.19
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}
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runs/Apr02_13-11-59_f0bd5f0ad1a3/events.out.tfevents.1712065229.f0bd5f0ad1a3.1876.1
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version https://git-lfs.github.com/spec/v1
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oid sha256:d9426fb4b0d519f29120b4d124f73bae1d7fbe403727184a3d0ee91bd943a9fc
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size 411
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train_results.json
ADDED
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{
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"epoch": 37.94,
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"total_flos": 2.864620236542755e+18,
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+
"train_loss": 0.20484183196510589,
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"train_runtime": 1635.0256,
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"train_samples_per_second": 25.02,
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"train_steps_per_second": 0.18
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}
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trainer_state.json
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|
| 1 |
+
{
|
| 2 |
+
"best_metric": 0.85,
|
| 3 |
+
"best_model_checkpoint": "vit-base-patch16-224-dmae-va-U5-42B/checkpoint-209",
|
| 4 |
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"epoch": 37.935483870967744,
|
| 5 |
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"eval_steps": 500,
|
| 6 |
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"global_step": 294,
|
| 7 |
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"is_hyper_param_search": false,
|
| 8 |
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"is_local_process_zero": true,
|
| 9 |
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"is_world_process_zero": true,
|
| 10 |
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"log_history": [
|
| 11 |
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{
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| 12 |
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"epoch": 0.9,
|
| 13 |
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"eval_accuracy": 0.4666666666666667,
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| 14 |
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"eval_loss": 1.3100930452346802,
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| 15 |
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"eval_runtime": 2.1723,
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| 16 |
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"eval_samples_per_second": 27.62,
|
| 17 |
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"eval_steps_per_second": 0.921,
|
| 18 |
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"step": 7
|
| 19 |
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},
|
| 20 |
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{
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| 21 |
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"epoch": 1.29,
|
| 22 |
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"grad_norm": 2.6547346115112305,
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| 23 |
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"learning_rate": 1.6666666666666667e-05,
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| 24 |
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"loss": 1.408,
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| 25 |
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"step": 10
|
| 26 |
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},
|
| 27 |
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{
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| 28 |
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"epoch": 1.94,
|
| 29 |
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"eval_accuracy": 0.48333333333333334,
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| 30 |
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"eval_loss": 1.1884137392044067,
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| 31 |
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"eval_runtime": 1.6114,
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| 32 |
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"eval_samples_per_second": 37.236,
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| 33 |
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"eval_steps_per_second": 1.241,
|
| 34 |
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"step": 15
|
| 35 |
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},
|
| 36 |
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{
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| 37 |
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"epoch": 2.58,
|
| 38 |
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"grad_norm": 2.5833563804626465,
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| 39 |
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"learning_rate": 3.3333333333333335e-05,
|
| 40 |
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"loss": 1.1286,
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| 41 |
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"step": 20
|
| 42 |
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},
|
| 43 |
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{
|
| 44 |
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"epoch": 2.97,
|
| 45 |
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"eval_accuracy": 0.5166666666666667,
|
| 46 |
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"eval_loss": 0.9475716352462769,
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| 47 |
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"eval_runtime": 1.6132,
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| 48 |
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"eval_samples_per_second": 37.192,
|
| 49 |
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"eval_steps_per_second": 1.24,
|
| 50 |
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"step": 23
|
| 51 |
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},
|
| 52 |
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{
|
| 53 |
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"epoch": 3.87,
|
| 54 |
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"grad_norm": 2.2686269283294678,
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| 55 |
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"learning_rate": 5e-05,
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| 56 |
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"loss": 0.7589,
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| 57 |
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