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2nzi
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videomae-surf-analytics-v4

Video Classification
Transformers
Safetensors
videomae
Generated from Trainer
Model card Files
xet
Community
2nzi commited on
Commit
ef3df00
·
verified ·
1 Parent(s): baec40e

Model save

Browse files
Files changed (8) hide show
  1. .ipynb_checkpoints/test_results-checkpoint.json +5 -0
  2. .ipynb_checkpoints/trainer_state-checkpoint.json +0 -0
  3. .ipynb_checkpoints/val_results-checkpoint.json +5 -0
  4. README.md +3 -3
  5. all_results.json +1 -1
  6. test_results.json +1 -1
  7. trainer_state.json +20 -0
  8. val_results.json +1 -1
.ipynb_checkpoints/test_results-checkpoint.json ADDED
@@ -0,0 +1,5 @@
 
 
 
 
 
 
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+ {
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+ "eval_accuracy": 0.8777292576419214,
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+ "eval_f1": 0.8759548256004502,
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+ "eval_loss": 0.9210804104804993
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+ }
.ipynb_checkpoints/trainer_state-checkpoint.json ADDED
The diff for this file is too large to render. See raw diff
 
.ipynb_checkpoints/val_results-checkpoint.json ADDED
@@ -0,0 +1,5 @@
 
 
 
 
 
 
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+ {
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+ "eval_accuracy": 0.9180327868852459,
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+ "eval_f1": 0.9178693897416935,
4
+ "eval_loss": 0.5277689099311829
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+ }
README.md CHANGED
@@ -18,9 +18,9 @@ It achieves the following results on the evaluation set:
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  - eval_loss: 0.5278
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  - eval_accuracy: 0.9180
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  - eval_f1: 0.9179
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- - eval_runtime: 72.002
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- - eval_samples_per_second: 1.694
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- - eval_steps_per_second: 0.222
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  - epoch: 5.0024
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  - step: 8857
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  - eval_loss: 0.5278
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  - eval_accuracy: 0.9180
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  - eval_f1: 0.9179
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+ - eval_runtime: 73.3325
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+ - eval_samples_per_second: 1.664
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+ - eval_steps_per_second: 0.218
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  - epoch: 5.0024
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  - step: 8857
26
 
all_results.json CHANGED
@@ -1,5 +1,5 @@
1
  {
2
  "eval_accuracy": 0.9180327868852459,
3
  "eval_f1": 0.9178693897416935,
4
- "eval_loss": 0.5277689099311829
5
  }
 
1
  {
2
  "eval_accuracy": 0.9180327868852459,
3
  "eval_f1": 0.9178693897416935,
4
+ "eval_loss": 0.5277688503265381
5
  }
test_results.json CHANGED
@@ -1,5 +1,5 @@
1
  {
2
  "eval_accuracy": 0.8777292576419214,
3
  "eval_f1": 0.8759548256004502,
4
- "eval_loss": 0.9210804104804993
5
  }
 
1
  {
2
  "eval_accuracy": 0.8777292576419214,
3
  "eval_f1": 0.8759548256004502,
4
+ "eval_loss": 0.9210802912712097
5
  }
trainer_state.json CHANGED
@@ -7172,6 +7172,26 @@
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  "eval_samples_per_second": 1.694,
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  "eval_steps_per_second": 0.222,
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  "step": 8857
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  }
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  ],
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  "logging_steps": 10,
 
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  "eval_samples_per_second": 1.694,
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  "eval_steps_per_second": 0.222,
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  "step": 8857
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+ },
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+ {
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+ "epoch": 5.002391304347826,
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+ "eval_accuracy": 0.8777292576419214,
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+ "eval_f1": 0.8759548256004502,
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+ "eval_loss": 0.9210802912712097,
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+ "eval_runtime": 134.9933,
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+ "eval_samples_per_second": 1.696,
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+ "eval_steps_per_second": 0.215,
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+ "step": 8857
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+ },
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+ {
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+ "epoch": 5.002391304347826,
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+ "eval_accuracy": 0.9180327868852459,
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+ "eval_f1": 0.9178693897416935,
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+ "eval_loss": 0.5277688503265381,
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+ "eval_runtime": 73.3325,
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+ "eval_samples_per_second": 1.664,
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+ "eval_steps_per_second": 0.218,
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+ "step": 8857
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  }
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  ],
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  "logging_steps": 10,
val_results.json CHANGED
@@ -1,5 +1,5 @@
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  {
2
  "eval_accuracy": 0.9180327868852459,
3
  "eval_f1": 0.9178693897416935,
4
- "eval_loss": 0.5277689099311829
5
  }
 
1
  {
2
  "eval_accuracy": 0.9180327868852459,
3
  "eval_f1": 0.9178693897416935,
4
+ "eval_loss": 0.5277688503265381
5
  }