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modernBERT-base-multilingual-sentiment

Text Classification
Transformers
TensorBoard
Safetensors
modernbert
sentiment
multilingual
sentiment-analysis
product-reviews
place-reviews
Model card Files
xet
Metrics Community
hungnm commited on
Commit
8fbed39
·
verified ·
1 Parent(s): addda9a

Model save

Browse files
Files changed (3) hide show
  1. all_results.json +3 -3
  2. train_results.json +3 -3
  3. trainer_state.json +9 -9
all_results.json CHANGED
@@ -15,7 +15,7 @@
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  "test_samples_per_second": 7509.319,
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  "test_steps_per_second": 3.755,
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  "train_loss": 1.836273193359375,
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- "train_runtime": 55.3814,
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- "train_samples_per_second": 577.811,
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- "train_steps_per_second": 0.289
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  }
 
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  "test_samples_per_second": 7509.319,
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  "test_steps_per_second": 3.755,
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  "train_loss": 1.836273193359375,
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+ "train_runtime": 55.8529,
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+ "train_samples_per_second": 572.934,
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+ "train_steps_per_second": 0.286
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  }
train_results.json CHANGED
@@ -1,7 +1,7 @@
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  {
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  "epoch": 2.0,
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  "train_loss": 1.836273193359375,
4
- "train_runtime": 55.3814,
5
- "train_samples_per_second": 577.811,
6
- "train_steps_per_second": 0.289
7
  }
 
1
  {
2
  "epoch": 2.0,
3
  "train_loss": 1.836273193359375,
4
+ "train_runtime": 55.8529,
5
+ "train_samples_per_second": 572.934,
6
+ "train_steps_per_second": 0.286
7
  }
trainer_state.json CHANGED
@@ -21,9 +21,9 @@
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  "eval_loss": 1.8330078125,
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  "eval_precision": 0.16504066117321736,
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  "eval_recall": 0.1890018282051825,
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- "eval_runtime": 8.5241,
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- "eval_samples_per_second": 234.629,
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- "eval_steps_per_second": 0.117,
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  "step": 8
28
  },
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  {
@@ -46,9 +46,9 @@
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  "eval_loss": 1.8330078125,
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  "eval_precision": 0.16504066117321736,
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  "eval_recall": 0.1890018282051825,
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- "eval_runtime": 0.2771,
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- "eval_samples_per_second": 7218.143,
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- "eval_steps_per_second": 3.609,
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  "step": 16
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  },
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  {
@@ -56,9 +56,9 @@
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  "step": 16,
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  "total_flos": 1489153141243904.0,
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  "train_loss": 1.836273193359375,
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- "train_runtime": 55.3814,
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- "train_samples_per_second": 577.811,
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- "train_steps_per_second": 0.289
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  }
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  ],
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  "logging_steps": 5,
 
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  "eval_loss": 1.8330078125,
22
  "eval_precision": 0.16504066117321736,
23
  "eval_recall": 0.1890018282051825,
24
+ "eval_runtime": 8.3441,
25
+ "eval_samples_per_second": 239.691,
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+ "eval_steps_per_second": 0.12,
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  "step": 8
28
  },
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  {
 
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  "eval_loss": 1.8330078125,
47
  "eval_precision": 0.16504066117321736,
48
  "eval_recall": 0.1890018282051825,
49
+ "eval_runtime": 0.2749,
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+ "eval_samples_per_second": 7276.302,
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+ "eval_steps_per_second": 3.638,
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  "step": 16
53
  },
54
  {
 
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  "step": 16,
57
  "total_flos": 1489153141243904.0,
58
  "train_loss": 1.836273193359375,
59
+ "train_runtime": 55.8529,
60
+ "train_samples_per_second": 572.934,
61
+ "train_steps_per_second": 0.286
62
  }
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  ],
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  "logging_steps": 5,