| /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 | |
| DATE 0.76 0.70 0.73 4012 | |
| LOC 0.77 0.78 0.77 9327 | |
| ORG 0.73 0.69 0.71 7547 | |
| PER 0.87 0.88 0.88 11204 | |
| micro avg 0.80 0.78 0.79 32090 | |
| macro avg 0.78 0.76 0.77 32090 | |
| weighted avg 0.79 0.78 0.79 32090 | |
| Classification Report: | |
| precision recall f1-score support | |
| DATE 0.76 0.75 0.76 4012 | |
| LOC 0.82 0.79 0.80 9327 | |
| ORG 0.71 0.80 0.76 7547 | |
| PER 0.90 0.90 0.90 11204 | |
| micro avg 0.81 0.82 0.82 32090 | |
| macro avg 0.80 0.81 0.80 32090 | |
| weighted avg 0.82 0.82 0.82 32090 | |
| Classification Report: | |
| precision recall f1-score support | |
| DATE 0.76 0.77 0.76 4012 | |
| LOC 0.81 0.81 0.81 9327 | |
| ORG 0.78 0.78 0.78 7547 | |
| PER 0.90 0.91 0.90 11204 | |
| micro avg 0.83 0.83 0.83 32090 | |
| macro avg 0.81 0.82 0.81 32090 | |
| weighted avg 0.83 0.83 0.83 32090 | |
| Classification Report: | |
| precision recall f1-score support | |
| DATE 0.77 0.77 0.77 4012 | |
| LOC 0.81 0.81 0.81 9327 | |
| ORG 0.77 0.79 0.78 7547 | |
| PER 0.92 0.90 0.91 11204 | |
| micro avg 0.83 0.83 0.83 32090 | |
| macro avg 0.82 0.82 0.82 32090 | |
| weighted avg 0.83 0.83 0.83 32090 | |
| Classification Report: | |
| precision recall f1-score support | |
| DATE 0.77 0.77 0.77 4012 | |
| LOC 0.81 0.81 0.81 9327 | |
| ORG 0.77 0.80 0.79 7547 | |
| PER 0.91 0.90 0.90 11204 | |
| micro avg 0.83 0.83 0.83 32090 | |
| macro avg 0.82 0.82 0.82 32090 | |