End of training
Browse files- README.md +4 -1
- all_results.json +11 -0
- eval_results.json +7 -0
- runs/Mar11_17-03-21_bf1b508326f5/events.out.tfevents.1710184514.bf1b508326f5.24615.1 +3 -0
- train_results.json +7 -0
- trainer_state.json +975 -0
README.md
CHANGED
@@ -1,5 +1,6 @@
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---
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tags:
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- generated_from_trainer
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datasets:
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- imagefolder
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@@ -13,7 +14,9 @@ should probably proofread and complete it, then remove this comment. -->
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# radiovers16v
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-
This model is a fine-tuned version of [](https://huggingface.co/) on the
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## Model description
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---
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tags:
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+
- masked-auto-encoding
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- generated_from_trainer
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datasets:
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- imagefolder
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# radiovers16v
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+
This model is a fine-tuned version of [](https://huggingface.co/) on the /kaggle/radioai/radiology_ai dataset.
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+
It achieves the following results on the evaluation set:
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+
- Loss: 0.4036
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## Model description
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all_results.json
ADDED
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{
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"epoch": 40.0,
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"eval_loss": 0.40356436371803284,
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+
"eval_runtime": 706.3909,
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+
"eval_samples_per_second": 172.196,
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+
"eval_steps_per_second": 21.525,
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+
"train_loss": 0.47529568801970173,
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+
"train_runtime": 7092.3542,
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+
"train_samples_per_second": 76.223,
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+
"train_steps_per_second": 9.531
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+
}
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eval_results.json
ADDED
@@ -0,0 +1,7 @@
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{
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"epoch": 40.0,
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+
"eval_loss": 0.40356436371803284,
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+
"eval_runtime": 706.3909,
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+
"eval_samples_per_second": 172.196,
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+
"eval_steps_per_second": 21.525
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+
}
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runs/Mar11_17-03-21_bf1b508326f5/events.out.tfevents.1710184514.bf1b508326f5.24615.1
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+
version https://git-lfs.github.com/spec/v1
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+
oid sha256:8e6994461c78758cd528cdb289c24c28035aae7bfb44bac60a9f7808347e8712
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+
size 364
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train_results.json
ADDED
@@ -0,0 +1,7 @@
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{
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"epoch": 40.0,
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+
"train_loss": 0.47529568801970173,
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+
"train_runtime": 7092.3542,
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+
"train_samples_per_second": 76.223,
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+
"train_steps_per_second": 9.531
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+
}
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trainer_state.json
ADDED
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{
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2 |
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4 |
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"epoch": 40.0,
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"eval_steps": 500,
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"global_step": 67600,
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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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10 |
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"log_history": [
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{
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"epoch": 0.3,
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"grad_norm": 0.0696972981095314,
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"learning_rate": 3.1018860946745563e-05,
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"loss": 0.785,
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"step": 500
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},
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{
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"epoch": 0.59,
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"grad_norm": 0.1446572095155716,
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"learning_rate": 3.0787721893491126e-05,
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"loss": 0.7706,
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"step": 1000
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},
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{
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"epoch": 0.89,
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"grad_norm": 0.2664627134799957,
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"learning_rate": 3.055658284023669e-05,
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"loss": 0.7614,
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"step": 1500
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{
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"epoch": 1.18,
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"learning_rate": 3.032544378698225e-05,
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"loss": 0.7472,
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"step": 2000
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