End of training
Browse files- README.md +4 -2
- all_results.json +13 -0
- eval_results.json +8 -0
- runs/Dec01_15-49-04_algo-1/events.out.tfevents.1764604683.algo-1.68.1 +3 -0
- train_results.json +8 -0
- trainer_state.json +547 -0
README.md
CHANGED
|
@@ -3,6 +3,8 @@ library_name: transformers
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license: apache-2.0
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base_model: facebook/convnext-base-224-22k
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tags:
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- generated_from_trainer
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metrics:
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- accuracy
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@@ -16,9 +18,9 @@ should probably proofread and complete it, then remove this comment. -->
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# Validated_Balanced_Raw_Data_model_boost9
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-
This model is a fine-tuned version of [facebook/convnext-base-224-22k](https://huggingface.co/facebook/convnext-base-224-22k) on
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It achieves the following results on the evaluation set:
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-
- Loss: 1.
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- Accuracy: 0.4151
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## Model description
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license: apache-2.0
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base_model: facebook/convnext-base-224-22k
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tags:
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+
- image-classification
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+
- vision
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- generated_from_trainer
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metrics:
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- accuracy
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# Validated_Balanced_Raw_Data_model_boost9
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+
This model is a fine-tuned version of [facebook/convnext-base-224-22k](https://huggingface.co/facebook/convnext-base-224-22k) on the Logiroad/Validated_Balanced_Raw_Dataset dataset.
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It achieves the following results on the evaluation set:
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+
- Loss: 1.2586
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- Accuracy: 0.4151
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## Model description
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all_results.json
ADDED
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{
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"epoch": 25.0,
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+
"eval_accuracy": 0.41509433962264153,
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+
"eval_loss": 1.2586045265197754,
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+
"eval_runtime": 1.5488,
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+
"eval_samples_per_second": 136.881,
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+
"eval_steps_per_second": 17.433,
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+
"total_flos": 3.739939937176781e+18,
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+
"train_loss": 1.1909779739379882,
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+
"train_runtime": 509.0926,
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| 11 |
+
"train_samples_per_second": 31.232,
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| 12 |
+
"train_steps_per_second": 3.929
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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": 25.0,
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+
"eval_accuracy": 0.41509433962264153,
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+
"eval_loss": 1.2586045265197754,
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+
"eval_runtime": 1.5488,
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+
"eval_samples_per_second": 136.881,
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+
"eval_steps_per_second": 17.433
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+
}
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runs/Dec01_15-49-04_algo-1/events.out.tfevents.1764604683.algo-1.68.1
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version https://git-lfs.github.com/spec/v1
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+
oid sha256:8191ce396bea95d71f8681969cb35aac6396de427e8b2cc40df6ca82e46ed325
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+
size 411
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train_results.json
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{
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"epoch": 25.0,
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"total_flos": 3.739939937176781e+18,
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+
"train_loss": 1.1909779739379882,
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+
"train_runtime": 509.0926,
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+
"train_samples_per_second": 31.232,
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"train_steps_per_second": 3.929
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}
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trainer_state.json
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@@ -0,0 +1,547 @@
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|
| 1 |
+
{
|
| 2 |
+
"best_metric": 0.41509433962264153,
|
| 3 |
+
"best_model_checkpoint": "./Validated_Balanced_Raw_Data_model_boost9_outputs/checkpoint-1600",
|
| 4 |
+
"epoch": 25.0,
|
| 5 |
+
"eval_steps": 500,
|
| 6 |
+
"global_step": 2000,
|
| 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": 0.625,
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| 13 |
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"grad_norm": 1.5967129468917847,
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| 14 |
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"learning_rate": 1.5e-05,
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| 15 |
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"loss": 1.3942,
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| 16 |
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"step": 50
|
| 17 |
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},
|
| 18 |
+
{
|
| 19 |
+
"epoch": 1.0,
|
| 20 |
+
"eval_accuracy": 0.33490566037735847,
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| 21 |
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"eval_loss": 1.3565607070922852,
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| 22 |
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"eval_runtime": 1.5583,
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| 23 |
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"eval_samples_per_second": 136.048,
|
| 24 |
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"eval_steps_per_second": 17.327,
|
| 25 |
+
"step": 80
|
| 26 |
+
},
|
| 27 |
+
{
|
| 28 |
+
"epoch": 1.25,
|
| 29 |
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"grad_norm": 1.937333583831787,
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| 30 |
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"learning_rate": 3e-05,
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| 31 |
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"loss": 1.3639,
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| 32 |
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"step": 100
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| 33 |
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},
|
| 34 |
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{
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| 35 |
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"epoch": 1.875,
|
| 36 |
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"grad_norm": 1.9313533306121826,
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| 37 |
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"learning_rate": 2.994876739510005e-05,
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| 38 |
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"loss": 1.3192,
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| 39 |
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"step": 150
|
| 40 |
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},
|
| 41 |
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{
|
| 42 |
+
"epoch": 2.0,
|
| 43 |
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"eval_accuracy": 0.3584905660377358,
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| 44 |
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"eval_loss": 1.3104463815689087,
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| 45 |
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"eval_runtime": 1.5299,
|
| 46 |
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"eval_samples_per_second": 138.573,
|
| 47 |
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"eval_steps_per_second": 17.648,
|
| 48 |
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"step": 160
|
| 49 |
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},
|
| 50 |
+
{
|
| 51 |
+
"epoch": 2.5,
|
| 52 |
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"grad_norm": 1.8240773677825928,
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| 53 |
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"learning_rate": 2.9795419551040836e-05,
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| 54 |
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