End of training
Browse files- README.md +7 -3
- all_results.json +13 -0
- eval_results.json +8 -0
- train_results.json +8 -0
- trainer_state.json +1139 -0
README.md
CHANGED
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@@ -1,6 +1,10 @@
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---
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library_name: transformers
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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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@@ -14,10 +18,10 @@ should probably proofread and complete it, then remove this comment. -->
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# mobilevit-small_alpha0.7_temp5.0_t3
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-
This model is a fine-tuned version of [](https://huggingface.co/) on
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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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---
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library_name: transformers
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+
license: apache-2.0
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+
base_model: c14kevincardenas/ClimBEiT-t3
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tags:
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- knowledge_distillation
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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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# mobilevit-small_alpha0.7_temp5.0_t3
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+
This model is a fine-tuned version of [c14kevincardenas/ClimBEiT-t3](https://huggingface.co/c14kevincardenas/ClimBEiT-t3) on the c14kevincardenas/beta_caller_284_person_crop_seq_withlimb dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.9566
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- Accuracy: 0.6584
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## Model description
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all_results.json
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@@ -0,0 +1,13 @@
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{
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"epoch": 20.0,
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"eval_accuracy": 0.658351409978308,
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"eval_loss": 0.9565775394439697,
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+
"eval_runtime": 41.1502,
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| 6 |
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"eval_samples_per_second": 22.406,
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| 7 |
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"eval_steps_per_second": 0.705,
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| 8 |
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"total_flos": 0.0,
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"train_loss": 0.371750411972767,
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"train_runtime": 14482.7553,
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+
"train_samples_per_second": 7.214,
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| 12 |
+
"train_steps_per_second": 0.226
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}
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eval_results.json
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{
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"epoch": 20.0,
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+
"eval_accuracy": 0.658351409978308,
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"eval_loss": 0.9565775394439697,
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+
"eval_runtime": 41.1502,
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"eval_samples_per_second": 22.406,
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"eval_steps_per_second": 0.705
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}
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train_results.json
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{
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"epoch": 20.0,
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"total_flos": 0.0,
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"train_loss": 0.371750411972767,
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"train_runtime": 14482.7553,
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"train_samples_per_second": 7.214,
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"train_steps_per_second": 0.226
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}
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trainer_state.json
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