Commit
•
fd3c79e
1
Parent(s):
537040b
End of training
Browse files- README.md +3 -3
- all_results.json +13 -0
- eval_results.json +8 -0
- train_results.json +8 -0
- trainer_state.json +553 -0
README.md
CHANGED
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@@ -22,7 +22,7 @@ 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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@@ -32,8 +32,8 @@ should probably proofread and complete it, then remove this comment. -->
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This model is a fine-tuned version of [microsoft/resnet-50](https://huggingface.co/microsoft/resnet-50) on the imagefolder 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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metrics:
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- name: Accuracy
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type: accuracy
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+
value: 0.5076
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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 [microsoft/resnet-50](https://huggingface.co/microsoft/resnet-50) on the imagefolder dataset.
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It achieves the following results on the evaluation set:
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+
- Loss: 1.9060
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+
- Accuracy: 0.5076
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## Model description
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all_results.json
ADDED
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@@ -0,0 +1,13 @@
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{
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"epoch": 1.0,
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"eval_accuracy": 0.5076,
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"eval_loss": 1.9059886932373047,
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+
"eval_runtime": 20.2816,
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"eval_samples_per_second": 246.528,
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"eval_steps_per_second": 7.741,
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"total_flos": 9.547293521089659e+17,
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"train_loss": 2.144495400947723,
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+
"train_runtime": 1271.552,
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+
"train_samples_per_second": 35.39,
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"train_steps_per_second": 0.276
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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": 1.0,
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"eval_accuracy": 0.5076,
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"eval_loss": 1.9059886932373047,
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+
"eval_runtime": 20.2816,
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"eval_samples_per_second": 246.528,
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"eval_steps_per_second": 7.741
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}
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train_results.json
ADDED
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@@ -0,0 +1,8 @@
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{
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"epoch": 1.0,
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+
"total_flos": 9.547293521089659e+17,
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+
"train_loss": 2.144495400947723,
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+
"train_runtime": 1271.552,
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+
"train_samples_per_second": 35.39,
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"train_steps_per_second": 0.276
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}
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trainer_state.json
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{
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"best_metric": null,
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"best_model_checkpoint": null,
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"epoch": 0.997867803837953,
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"eval_steps": 10,
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"global_step": 351,
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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": 0.03,
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"learning_rate": 1.388888888888889e-05,
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"loss": 2.3058,
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"step": 10
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},
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{
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"epoch": 0.03,
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"eval_accuracy": 0.0794,
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"eval_loss": 2.310584306716919,
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"eval_runtime": 23.1302,
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"eval_samples_per_second": 216.168,
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"eval_steps_per_second": 6.788,
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"step": 10
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},
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{
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"epoch": 0.06,
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"learning_rate": 2.777777777777778e-05,
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"loss": 2.3033,
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"step": 20
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},
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{
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"epoch": 0.06,
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"eval_accuracy": 0.0892,
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"eval_loss": 2.302612066268921,
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"eval_runtime": 20.5744,
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"eval_samples_per_second": 243.02,
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"eval_steps_per_second": 7.631,
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| 39 |
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"step": 20
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| 40 |
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},
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| 41 |
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{
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| 42 |
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"epoch": 0.09,
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| 43 |
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"learning_rate": 4.166666666666667e-05,
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| 44 |
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"loss": 2.3012,
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"step": 30
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},
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{
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| 48 |
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"epoch": 0.09,
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| 49 |
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"eval_accuracy": 0.1042,
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| 50 |
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"eval_loss": 2.2971391677856445,
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"eval_runtime": 19.7054,
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"eval_samples_per_second": 253.737,
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| 53 |
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"eval_steps_per_second": 7.967,
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| 54 |
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"step": 30
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| 55 |
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},
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| 56 |
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{
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| 57 |
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"epoch": 0.11,
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| 58 |
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"learning_rate": 4.936507936507937e-05,
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| 59 |
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"loss": 2.2914,
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"step": 40
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| 61 |
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},
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| 62 |
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{
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| 63 |
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"epoch": 0.11,
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| 64 |
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"eval_accuracy": 0.1254,
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| 65 |
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"eval_loss": 2.2889511585235596,
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"eval_runtime": 20.5875,
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| 67 |
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"eval_samples_per_second": 242.866,
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| 68 |
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"eval_steps_per_second": 7.626,
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