End of training
Browse files- README.md +2 -2
- all_results.json +13 -0
- eval_results.json +8 -0
- runs/Feb10_03-10-33_e3629502e642/events.out.tfevents.1739157715.e3629502e642.73729.1 +3 -0
- train_results.json +8 -0
- trainer_state.json +552 -0
README.md
CHANGED
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@@ -18,8 +18,8 @@ should probably proofread and complete it, then remove this comment. -->
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This model is a fine-tuned version of [microsoft/swinv2-tiny-patch4-window8-256](https://huggingface.co/microsoft/swinv2-tiny-patch4-window8-256) on an unknown dataset.
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It achieves the following results on the evaluation set:
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-
- Loss:
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-
- Accuracy: 0.
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## Model description
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This model is a fine-tuned version of [microsoft/swinv2-tiny-patch4-window8-256](https://huggingface.co/microsoft/swinv2-tiny-patch4-window8-256) on an unknown dataset.
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It achieves the following results on the evaluation set:
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+
- Loss: 0.8727
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- Accuracy: 0.7308
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## Model description
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all_results.json
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@@ -0,0 +1,13 @@
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{
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"epoch": 44.8421052631579,
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+
"eval_accuracy": 0.7307692307692307,
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"eval_loss": 0.8727236390113831,
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"eval_runtime": 0.9037,
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| 6 |
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"eval_samples_per_second": 57.54,
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"eval_steps_per_second": 2.213,
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"total_flos": 8.412779636714373e+17,
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| 9 |
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"train_loss": 0.527855412165324,
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| 10 |
+
"train_runtime": 618.6977,
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| 11 |
+
"train_samples_per_second": 44.076,
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| 12 |
+
"train_steps_per_second": 0.291
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}
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eval_results.json
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@@ -0,0 +1,8 @@
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{
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"epoch": 44.8421052631579,
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+
"eval_accuracy": 0.7307692307692307,
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| 4 |
+
"eval_loss": 0.8727236390113831,
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| 5 |
+
"eval_runtime": 0.9037,
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| 6 |
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"eval_samples_per_second": 57.54,
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| 7 |
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"eval_steps_per_second": 2.213
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}
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runs/Feb10_03-10-33_e3629502e642/events.out.tfevents.1739157715.e3629502e642.73729.1
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version https://git-lfs.github.com/spec/v1
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oid sha256:eff5a3227ebf4ffcb0ccb726c67536265fcef3e5f1f50d0786a113bc1e562e00
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size 411
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train_results.json
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{
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"epoch": 44.8421052631579,
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"total_flos": 8.412779636714373e+17,
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+
"train_loss": 0.527855412165324,
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+
"train_runtime": 618.6977,
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"train_samples_per_second": 44.076,
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"train_steps_per_second": 0.291
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}
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trainer_state.json
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|
| 1 |
+
{
|
| 2 |
+
"best_metric": 0.7307692307692307,
|
| 3 |
+
"best_model_checkpoint": "swinv2-tiny-patch4-window8-256-dmae-humeda-DAV57/checkpoint-96",
|
| 4 |
+
"epoch": 44.8421052631579,
|
| 5 |
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"eval_steps": 500,
|
| 6 |
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"global_step": 180,
|
| 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": [
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| 11 |
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{
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"eval_accuracy": 0.28846153846153844,
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"eval_loss": 1.5806981325149536,
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"eval_runtime": 0.8503,
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"eval_steps_per_second": 2.352,
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"step": 4
|
| 19 |
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},
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| 20 |
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{
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"epoch": 1.8421052631578947,
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"eval_accuracy": 0.4423076923076923,
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"eval_runtime": 1.1721,
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"eval_samples_per_second": 44.363,
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"eval_steps_per_second": 1.706,
|
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"step": 8
|
| 28 |
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},
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| 29 |
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{
|
| 30 |
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"epoch": 2.8421052631578947,
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| 31 |
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"grad_norm": 3.3740527629852295,
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"learning_rate": 3.3333333333333335e-05,
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| 33 |
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"loss": 1.6981,
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"step": 12
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| 35 |
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},
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{
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"epoch": 2.8421052631578947,
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"eval_accuracy": 0.4230769230769231,
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"eval_loss": 1.3224066495895386,
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"eval_runtime": 0.8125,
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"eval_samples_per_second": 64.003,
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"eval_steps_per_second": 2.462,
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"step": 12
|
| 44 |
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},
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| 45 |
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{
|
| 46 |
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"epoch": 3.8421052631578947,
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"eval_accuracy": 0.5,
|
| 48 |
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"eval_loss": 1.207923412322998,
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"eval_runtime": 0.8038,
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"eval_samples_per_second": 64.69,
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"eval_steps_per_second": 2.488,
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"step": 16
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| 53 |
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},
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| 54 |
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{
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"epoch": 4.842105263157895,
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"eval_accuracy": 0.5769230769230769,
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"eval_loss": 1.0541125535964966,
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"eval_runtime": 0.834,
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"eval_samples_per_second": 62.351,
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| 60 |
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"eval_steps_per_second": 2.398,
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| 61 |
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"step": 20
|
| 62 |
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},
|
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