Commit
•
4c3ec2b
1
Parent(s):
bda67d6
End of training
Browse files- README.md +2 -2
- all_results.json +13 -0
- eval_results.json +8 -0
- runs/Apr19_02-50-17_60db23225263/events.out.tfevents.1713496757.60db23225263.1082.1 +3 -0
- train_results.json +8 -0
- trainer_state.json +540 -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: 1.
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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: 1.0383
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- Accuracy: 0.55
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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": 0.55,
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"eval_loss": 1.038263201713562,
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"eval_runtime": 1.6547,
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"eval_samples_per_second": 36.261,
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"eval_steps_per_second": 1.209,
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"total_flos": 2.864620236542755e+18,
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"train_loss": 1.2294491975485873,
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"train_runtime": 1673.337,
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"train_samples_per_second": 24.447,
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"train_steps_per_second": 0.176
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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": 0.55,
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"eval_loss": 1.038263201713562,
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"eval_runtime": 1.6547,
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"eval_samples_per_second": 36.261,
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"eval_steps_per_second": 1.209
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}
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runs/Apr19_02-50-17_60db23225263/events.out.tfevents.1713496757.60db23225263.1082.1
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version https://git-lfs.github.com/spec/v1
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oid sha256:f49c9268f15def82a88e229e2875132dea0da0c578d6908987c663f3641d128f
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size 411
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train_results.json
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@@ -0,0 +1,8 @@
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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": 1.2294491975485873,
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"train_runtime": 1673.337,
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"train_samples_per_second": 24.447,
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"train_steps_per_second": 0.176
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}
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trainer_state.json
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{
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"best_metric": 0.55,
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"best_model_checkpoint": "vit-base-patch16-224-dmae-va-U5-42D/checkpoint-15",
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| 4 |
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"epoch": 37.935483870967744,
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| 5 |
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"eval_steps": 500,
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| 6 |
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"global_step": 294,
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| 7 |
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"is_hyper_param_search": false,
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| 8 |
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"is_local_process_zero": true,
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| 9 |
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"is_world_process_zero": true,
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| 10 |
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"log_history": [
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{
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"epoch": 0.9,
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| 13 |
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"eval_accuracy": 0.5166666666666667,
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| 14 |
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"eval_loss": 1.0970458984375,
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| 15 |
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"eval_runtime": 1.6221,
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| 16 |
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"eval_samples_per_second": 36.99,
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| 17 |
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"eval_steps_per_second": 1.233,
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| 18 |
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"step": 7
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},
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| 20 |
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{
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| 21 |
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"epoch": 1.55,
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| 22 |
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"grad_norm": 5.820129871368408,
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| 23 |
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"learning_rate": 0.0012000000000000001,
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"loss": 1.3527,
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"step": 12
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| 26 |
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},
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| 27 |
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{
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| 28 |
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"epoch": 1.94,
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| 29 |
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"eval_accuracy": 0.55,
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| 30 |
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"eval_loss": 1.038263201713562,
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| 31 |
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"eval_runtime": 1.563,
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| 32 |
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"eval_samples_per_second": 38.388,
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| 33 |
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"eval_steps_per_second": 1.28,
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| 34 |
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"step": 15
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},
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{
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| 37 |
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"epoch": 2.97,
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| 38 |
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"eval_accuracy": 0.4166666666666667,
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| 39 |
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"eval_loss": 1.235134243965149,
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"eval_runtime": 2.1089,
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| 41 |
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"eval_samples_per_second": 28.451,
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| 42 |
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"eval_steps_per_second": 0.948,
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| 43 |
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"step": 23
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},
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{
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"epoch": 3.1,
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| 47 |
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"grad_norm": 5.020723819732666,
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| 48 |
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"learning_rate": 0.0024000000000000002,
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| 49 |
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"loss": 1.3013,
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"step": 24
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},
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{
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"epoch": 4.0,
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| 54 |
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"eval_accuracy": 0.3333333333333333,
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| 55 |
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"eval_loss": 1.3025089502334595,
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| 56 |
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"eval_runtime": 1.6082,
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| 57 |
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"eval_samples_per_second": 37.309,
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| 58 |
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"eval_steps_per_second": 1.244,
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| 59 |
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"step": 31
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| 60 |
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},
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| 61 |
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{
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| 62 |
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"epoch": 4.65,
|
| 63 |
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"grad_norm": 2.038219451904297,
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| 64 |
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"learning_rate": 0.002931818181818182,
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| 65 |
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"loss": 1.3706,
|
| 66 |
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"step": 36
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| 67 |
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},
|
| 68 |
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{
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| 69 |
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"epoch": 4.9,
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| 70 |
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"eval_accuracy": 0.21666666666666667,
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| 71 |
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"eval_loss": 1.3800110816955566,
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| 72 |
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