Augusto777
commited on
Commit
•
63320b8
1
Parent(s):
fc70422
End of training
Browse files- README.md +3 -3
- all_results.json +12 -0
- eval_results.json +8 -0
- runs/Jun12_11-56-51_DESKTOP-SKBE9FB/events.out.tfevents.1718215298.DESKTOP-SKBE9FB.8908.1 +3 -0
- train_results.json +7 -0
- trainer_state.json +984 -0
README.md
CHANGED
@@ -21,7 +21,7 @@ model-index:
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metrics:
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- name: Accuracy
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type: accuracy
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-
value: 0.
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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@@ -31,8 +31,8 @@ should probably proofread and complete it, then remove this comment. -->
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This model is a fine-tuned version of [MBZUAI/swiftformer-xs](https://huggingface.co/MBZUAI/swiftformer-xs) on the imagefolder 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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metrics:
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- name: Accuracy
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type: accuracy
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+
value: 0.8695652173913043
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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This model is a fine-tuned version of [MBZUAI/swiftformer-xs](https://huggingface.co/MBZUAI/swiftformer-xs) on the imagefolder dataset.
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It achieves the following results on the evaluation set:
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+
- Loss: 0.6163
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+
- Accuracy: 0.8696
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## Model description
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all_results.json
ADDED
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{
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"epoch": 73.85,
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"eval_accuracy": 0.8695652173913043,
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+
"eval_loss": 0.6163212060928345,
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+
"eval_runtime": 0.6921,
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+
"eval_samples_per_second": 66.464,
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"eval_steps_per_second": 2.89,
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"train_loss": 0.38355133185784024,
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+
"train_runtime": 282.7663,
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+
"train_samples_per_second": 231.711,
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+
"train_steps_per_second": 1.698
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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": 73.85,
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"eval_accuracy": 0.8695652173913043,
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+
"eval_loss": 0.6163212060928345,
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+
"eval_runtime": 0.6921,
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+
"eval_samples_per_second": 66.464,
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"eval_steps_per_second": 2.89
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}
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runs/Jun12_11-56-51_DESKTOP-SKBE9FB/events.out.tfevents.1718215298.DESKTOP-SKBE9FB.8908.1
ADDED
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version https://git-lfs.github.com/spec/v1
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+
oid sha256:f19608db40f0482ea03ecb600db7ec3d04bd686ab586242c832a77e94a37eeac
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+
size 411
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train_results.json
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{
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"epoch": 73.85,
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+
"train_loss": 0.38355133185784024,
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+
"train_runtime": 282.7663,
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+
"train_samples_per_second": 231.711,
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+
"train_steps_per_second": 1.698
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}
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trainer_state.json
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1 |
+
{
|
2 |
+
"best_metric": 0.8695652173913043,
|
3 |
+
"best_model_checkpoint": "swiftformer-xs-ve-U13-b-80\\checkpoint-175",
|
4 |
+
"epoch": 73.84615384615384,
|
5 |
+
"eval_steps": 500,
|
6 |
+
"global_step": 480,
|
7 |
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"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.92,
|
13 |
+
"eval_accuracy": 0.10869565217391304,
|
14 |
+
"eval_loss": 1.4460796117782593,
|
15 |
+
"eval_runtime": 0.7125,
|
16 |
+
"eval_samples_per_second": 64.563,
|
17 |
+
"eval_steps_per_second": 2.807,
|
18 |
+
"step": 6
|
19 |
+
},
|
20 |
+
{
|
21 |
+
"epoch": 1.54,
|
22 |
+
"learning_rate": 4.166666666666667e-05,
|
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