File size: 6,659 Bytes
a4a1e96 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 |
/nfs/production/literature/amina-mardiyyah/envs/llm-prompt/lib/python3.11/site-packages/accelerate/accelerator.py:488: FutureWarning: `torch.cuda.amp.GradScaler(args...)` is deprecated. Please use `torch.amp.GradScaler('cuda', args...)` instead.
self.scaler = torch.cuda.amp.GradScaler(**kwargs)
Detected kernel version 4.18.0, which is below the recommended minimum of 5.5.0; this can cause the process to hang. It is recommended to upgrade the kernel to the minimum version or higher.
[34m[1mwandb[39m[22m: [33mWARNING[39m The `run_name` is currently set to the same value as `TrainingArguments.output_dir`. If this was not intended, please specify a different run name by setting the `TrainingArguments.run_name` parameter.
Classification Report:
precision recall f1-score support
DNA 0.73 0.81 0.77 2494
RNA 0.71 0.70 0.70 238
cell_line 0.73 0.78 0.76 1050
cell_type 0.63 0.75 0.69 775
protein 0.86 0.87 0.87 6196
micro avg 0.79 0.84 0.81 10753
macro avg 0.73 0.78 0.76 10753
weighted avg 0.80 0.84 0.82 10753
Classification Report:
precision recall f1-score support
DNA 0.78 0.80 0.79 2494
RNA 0.77 0.79 0.78 238
cell_line 0.77 0.80 0.78 1050
cell_type 0.66 0.77 0.71 775
protein 0.86 0.91 0.88 6196
micro avg 0.81 0.86 0.83 10753
macro avg 0.77 0.81 0.79 10753
weighted avg 0.81 0.86 0.84 10753
Classification Report:
precision recall f1-score support
DNA 0.74 0.87 0.80 2494
RNA 0.78 0.87 0.82 238
cell_line 0.80 0.80 0.80 1050
cell_type 0.68 0.77 0.72 775
protein 0.88 0.89 0.88 6196
micro avg 0.82 0.86 0.84 10753
macro avg 0.78 0.84 0.81 10753
weighted avg 0.82 0.86 0.84 10753
Classification Report:
precision recall f1-score support
DNA 0.78 0.81 0.80 2494
RNA 0.79 0.88 0.83 238
cell_line 0.80 0.81 0.81 1050
cell_type 0.68 0.79 0.73 775
protein 0.87 0.90 0.89 6196
micro avg 0.83 0.87 0.84 10753
macro avg 0.78 0.84 0.81 10753
weighted avg 0.83 0.87 0.85 10753
Classification Report:
precision recall f1-score support
DNA 0.77 0.85 0.81 2494
RNA 0.84 0.87 0.85 238
cell_line 0.81 0.84 0.82 1050
cell_type 0.74 0.78 0.76 775
protein 0.88 0.90 0.89 6196
micro avg 0.83 0.87 0.85 10753
macro avg 0.81 0.85 0.83 10753
weighted avg 0.84 0.87 0.85 10753
Classification Report:
precision recall f1-score support
DNA 0.79 0.83 0.81 2494
RNA 0.83 0.86 0.84 238
cell_line 0.80 0.83 0.81 1050
cell_type 0.71 0.78 0.74 775
protein 0.88 0.90 0.89 6196
micro avg 0.84 0.87 0.85 10753
macro avg 0.80 0.84 0.82 10753
weighted avg 0.84 0.87 0.85 10753
Classification Report:
precision recall f1-score support
DNA 0.78 0.84 0.81 2494
RNA 0.84 0.89 0.86 238
cell_line 0.81 0.86 0.83 1050
cell_type 0.73 0.80 0.76 775
protein 0.88 0.90 0.89 6196
micro avg 0.84 0.87 0.85 10753
macro avg 0.81 0.86 0.83 10753
weighted avg 0.84 0.87 0.85 10753
Classification Report:
precision recall f1-score support
DNA 0.78 0.83 0.81 2494
RNA 0.84 0.87 0.86 238
cell_line 0.81 0.86 0.83 1050
cell_type 0.75 0.79 0.77 775
protein 0.88 0.90 0.89 6196
micro avg 0.84 0.87 0.85 10753
macro avg 0.81 0.85 0.83 10753
weighted avg 0.84 0.87 0.85 10753
Classification Report:
precision recall f1-score support
DNA 0.78 0.84 0.81 2494
RNA 0.83 0.89 0.86 238
cell_line 0.81 0.85 0.83 1050
cell_type 0.74 0.79 0.77 775
protein 0.88 0.90 0.89 6196
micro avg 0.84 0.87 0.86 10753
macro avg 0.81 0.86 0.83 10753
weighted avg 0.84 0.87 0.86 10753
Classification Report:
precision recall f1-score support
DNA 0.78 0.84 0.81 2494
RNA 0.83 0.87 0.85 238
cell_line 0.81 0.85 0.83 1050
cell_type 0.75 0.78 0.76 775
protein 0.88 0.90 0.89 6196
micro avg 0.84 0.87 0.86 10753
macro avg 0.81 0.85 0.83 10753
weighted avg 0.84 0.87 0.86 10753
Classification Report:
precision recall f1-score support
DNA 0.74 0.79 0.76 2210
RNA 0.73 0.76 0.75 287
cell_line 0.50 0.76 0.61 1057
cell_type 0.75 0.68 0.71 2761
protein 0.72 0.87 0.79 10082
micro avg 0.71 0.82 0.76 16397
macro avg 0.69 0.77 0.72 16397
weighted avg 0.72 0.82 0.76 16397
Test Set Results: {'eval_loss': 0.25901132822036743, 'eval_f1': 0.7609269081317186, 'eval_precision': 0.7112407211028632, 'eval_recall': 0.8180764774044033, 'eval_accuracy': 0.9229162898531661, 'eval_runtime': 8.311, 'eval_samples_per_second': 463.961, 'eval_steps_per_second': 57.995, 'epoch': 9.971126082771896}
|