End of training
Browse files- README.md +3 -3
- all_results.json +11 -11
- eval_results.json +6 -6
- train_results.json +6 -6
- trainer_state.json +3356 -38
README.md
CHANGED
|
@@ -23,7 +23,7 @@ model-index:
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|
| 23 |
metrics:
|
| 24 |
- name: Accuracy
|
| 25 |
type: accuracy
|
| 26 |
-
value: 0.
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| 27 |
---
|
| 28 |
|
| 29 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
|
@@ -33,8 +33,8 @@ should probably proofread and complete it, then remove this comment. -->
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| 33 |
|
| 34 |
This model is a fine-tuned version of [facebook/dinov2-base](https://huggingface.co/facebook/dinov2-base) on the imagefolder dataset.
|
| 35 |
It achieves the following results on the evaluation set:
|
| 36 |
-
- Loss: 0.
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| 37 |
-
- Accuracy: 0.
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| 38 |
|
| 39 |
## Model description
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| 40 |
|
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|
|
| 23 |
metrics:
|
| 24 |
- name: Accuracy
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| 25 |
type: accuracy
|
| 26 |
+
value: 0.8968253968253969
|
| 27 |
---
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| 28 |
|
| 29 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
|
|
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| 33 |
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| 34 |
This model is a fine-tuned version of [facebook/dinov2-base](https://huggingface.co/facebook/dinov2-base) on the imagefolder dataset.
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| 35 |
It achieves the following results on the evaluation set:
|
| 36 |
+
- Loss: 0.4424
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| 37 |
+
- Accuracy: 0.8968
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| 38 |
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| 39 |
## Model description
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| 40 |
|
all_results.json
CHANGED
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@@ -1,13 +1,13 @@
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| 1 |
{
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| 2 |
-
"epoch":
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| 3 |
-
"eval_accuracy": 0.
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| 4 |
-
"eval_loss": 0.
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| 5 |
-
"eval_runtime":
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| 6 |
-
"eval_samples_per_second":
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| 7 |
-
"eval_steps_per_second":
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| 8 |
-
"total_flos":
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| 9 |
-
"train_loss":
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| 10 |
-
"train_runtime":
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| 11 |
-
"train_samples_per_second":
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| 12 |
-
"train_steps_per_second": 0.
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| 13 |
}
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| 1 |
{
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| 2 |
+
"epoch": 49.55223880597015,
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| 3 |
+
"eval_accuracy": 0.8968253968253969,
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| 4 |
+
"eval_loss": 0.44243764877319336,
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| 5 |
+
"eval_runtime": 16.2594,
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| 6 |
+
"eval_samples_per_second": 116.241,
|
| 7 |
+
"eval_steps_per_second": 3.69,
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| 8 |
+
"total_flos": 5.421822883117793e+19,
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| 9 |
+
"train_loss": 0.33880508939903903,
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| 10 |
+
"train_runtime": 14225.4065,
|
| 11 |
+
"train_samples_per_second": 37.644,
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| 12 |
+
"train_steps_per_second": 0.292
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| 13 |
}
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eval_results.json
CHANGED
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@@ -1,8 +1,8 @@
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| 1 |
{
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| 2 |
-
"epoch":
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| 3 |
-
"eval_accuracy": 0.
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| 4 |
-
"eval_loss": 0.
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| 5 |
-
"eval_runtime":
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| 6 |
-
"eval_samples_per_second":
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| 7 |
-
"eval_steps_per_second":
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}
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| 1 |
{
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| 2 |
+
"epoch": 49.55223880597015,
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| 3 |
+
"eval_accuracy": 0.8968253968253969,
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| 4 |
+
"eval_loss": 0.44243764877319336,
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| 5 |
+
"eval_runtime": 16.2594,
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| 6 |
+
"eval_samples_per_second": 116.241,
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| 7 |
+
"eval_steps_per_second": 3.69
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| 8 |
}
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train_results.json
CHANGED
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@@ -1,8 +1,8 @@
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{
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-
"epoch":
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-
"total_flos":
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-
"train_loss":
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-
"train_runtime":
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-
"train_samples_per_second":
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-
"train_steps_per_second": 0.
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}
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{
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+
"epoch": 49.55223880597015,
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| 3 |
+
"total_flos": 5.421822883117793e+19,
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| 4 |
+
"train_loss": 0.33880508939903903,
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| 5 |
+
"train_runtime": 14225.4065,
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| 6 |
+
"train_samples_per_second": 37.644,
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+
"train_steps_per_second": 0.292
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}
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trainer_state.json
CHANGED
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@@ -1,64 +1,3382 @@
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{
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-
"best_metric": 0.
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-
"best_model_checkpoint": "dinov2-base-finetuned-har/checkpoint-
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-
"epoch":
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"eval_steps": 500,
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-
"global_step":
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"is_hyper_param_search": false,
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"is_local_process_zero": true,
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"is_world_process_zero": true,
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"log_history": [
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{
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-
"epoch": 0.
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-
"grad_norm":
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-
"learning_rate":
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-
"loss":
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"step": 10
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},
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{
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-
"epoch": 0.
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-
"grad_norm":
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-
"learning_rate": 2.
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-
"loss":
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"step": 20
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},
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{
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-
"epoch": 0.
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-
"grad_norm":
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-
"learning_rate":
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-
"loss":
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"step": 30
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},
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{
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-
"epoch": 0.
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-
"grad_norm":
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-
"learning_rate":
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-
"loss":
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"step": 40
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},
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{
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-
"epoch":
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-
"
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-
"
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-
"
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-
"
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-
"eval_steps_per_second": 1.065,
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-
"step": 42
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},
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{
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-
"epoch":
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