subasa-xlm-r

Run Details : https://wandb.ai/s-haturusinghe/finetune-after_mrp-with_pipeline-updated/runs/e0cwjvvz/overview?workspace=user-haturusinghe

Run summary:

eval/f1_0 0.87064 eval/f1_1 0.81809 eval/f1_macro 0.84437 eval/f1_weighted 0.8493 eval/loss 0.43726 eval/precision_0 0.88518 eval/precision_1 0.79962 eval/precision_weighted 0.85044 eval/recall_0 0.85657 eval/recall_1 0.83744 eval/recall_weighted 0.8488 eval/runtime 74.0515 eval/samples_per_second 33.76 eval/steps_per_second 2.12 train/epoch 5.0 train/global_step 2345 train/learning_rate 0.0 train/loss 0.2158 train/total_flos 9866664576000000.0 train/train_loss 0.38705 train/train_runtime 3869.0269 train/train_samples_per_second 9.692 train/train_steps_per_second 0.606

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