End of training
Browse files- README.md +5 -3
- all_results.json +11 -6
- eval_results.json +8 -0
- runs/Nov28_10-18-28_algo-1/events.out.tfevents.1764325856.algo-1.68.2 +3 -0
- train_results.json +6 -6
- trainer_state.json +467 -63
README.md
CHANGED
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@@ -3,6 +3,8 @@ library_name: transformers
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license: apache-2.0
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base_model: facebook/convnext-small-224
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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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@@ -16,10 +18,10 @@ should probably proofread and complete it, then remove this comment. -->
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# Validated_Balanced_Raw_Data_model_boost8
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This model is a fine-tuned version of [facebook/convnext-small-224](https://huggingface.co/facebook/convnext-small-224) 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.
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## Model description
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license: apache-2.0
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base_model: facebook/convnext-small-224
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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_boost8
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+
This model is a fine-tuned version of [facebook/convnext-small-224](https://huggingface.co/facebook/convnext-small-224) 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: 1.1054
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+
- Accuracy: 0.5425
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## Model description
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all_results.json
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{
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"epoch":
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}
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{
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"epoch": 25.0,
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"eval_accuracy": 0.5424528301886793,
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"eval_loss": 1.1053968667984009,
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"eval_runtime": 1.3811,
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"eval_samples_per_second": 153.499,
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"eval_steps_per_second": 10.137,
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"total_flos": 2.1204873264365568e+18,
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| 9 |
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"train_loss": 0.8860943021774292,
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"train_runtime": 622.5434,
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| 11 |
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"train_samples_per_second": 25.54,
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"train_steps_per_second": 3.213
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}
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eval_results.json
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{
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"epoch": 25.0,
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"eval_accuracy": 0.5424528301886793,
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"eval_loss": 1.1053968667984009,
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"eval_runtime": 1.3811,
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"eval_samples_per_second": 153.499,
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"eval_steps_per_second": 10.137
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}
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runs/Nov28_10-18-28_algo-1/events.out.tfevents.1764325856.algo-1.68.2
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version https://git-lfs.github.com/spec/v1
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oid sha256:1f9f6a5b1ff1588aad13f79afa9750dd2db30ba4f887a0bc591150849293f285
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+
size 411
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train_results.json
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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":
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}
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{
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"epoch": 25.0,
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"total_flos": 2.1204873264365568e+18,
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"train_loss": 0.8860943021774292,
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"train_runtime": 622.5434,
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"train_samples_per_second": 25.54,
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"train_steps_per_second": 3.213
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}
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trainer_state.json
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{
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"best_metric": 0.
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"best_model_checkpoint": "./Validated_Balanced_Raw_Data_model_boost8_outputs/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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"learning_rate":
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"loss": 1.
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"step": 50
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"epoch": 1.0,
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"eval_accuracy": 0.
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"epoch": 1.25,
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"grad_norm":
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"epoch": 1.875,
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"step": 160
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"epoch": 2.5,
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"grad_norm":
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"step": 240
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{
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"epoch": 3.125,
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"grad_norm":
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"step": 250
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"epoch": 3.75,
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"grad_norm":
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"step": 300
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"epoch": 4.0,
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"eval_accuracy": 0.
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"eval_loss": 1.
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"eval_runtime": 1.
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"eval_samples_per_second": 153.
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"epoch": 4.375,
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"step": 350
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"epoch": 5.0,
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"grad_norm":
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"epoch": 5.0,
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{
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"epoch": 5.
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}
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],
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"logging_steps": 50,
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-
"max_steps":
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"num_input_tokens_seen": 0,
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-
"num_train_epochs":
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"save_steps": 500,
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"stateful_callbacks": {
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"TrainerControl": {
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@@ -136,7 +540,7 @@
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"attributes": {}
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}
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},
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-
"total_flos":
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"train_batch_size": 8,
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"trial_name": null,
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"trial_params": null
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|
| 1 |
{
|
| 2 |
+
"best_metric": 0.5424528301886793,
|
| 3 |
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