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run-0/checkpoint-1054/optimizer.pt 35 MBrun-0/checkpoint-4216/optimizer.pt 35 MBrun-0/checkpoint-527/optimizer.pt 35 MBrun-0/checkpoint-5270/optimizer.pt 35 MBrun-1/checkpoint-1054/optimizer.pt 35 MBrun-1/checkpoint-4216/optimizer.pt 35 MBrun-1/checkpoint-4743/optimizer.pt 35 MBrun-1/checkpoint-527/optimizer.pt 35 MBrun-2/checkpoint-1054/optimizer.pt 35 MBrun-2/checkpoint-527/optimizer.pt 35 MBmodel.safetensors 18 MBrun-0/checkpoint-1054/model.safetensors 18 MBrun-0/checkpoint-4216/model.safetensors 18 MBrun-0/checkpoint-527/model.safetensors 18 MBrun-0/checkpoint-5270/model.safetensors 18 MBrun-1/checkpoint-1054/model.safetensors 18 MBrun-1/checkpoint-4216/model.safetensors 18 MBrun-1/checkpoint-4743/model.safetensors 18 MBrun-1/checkpoint-527/model.safetensors 18 MBrun-2/checkpoint-1054/model.safetensors 18 MBrun-2/checkpoint-527/model.safetensors 18 MBrun-0/checkpoint-1054/rng_state.pth 14.3 kBrun-0/checkpoint-4216/rng_state.pth 14.3 kBrun-0/checkpoint-527/rng_state.pth 14.3 kBrun-0/checkpoint-5270/rng_state.pth 14.3 kBrun-1/checkpoint-1054/rng_state.pth 14.3 kBrun-1/checkpoint-4216/rng_state.pth 14.3 kBrun-1/checkpoint-4743/rng_state.pth 14.3 kBrun-1/checkpoint-527/rng_state.pth 14.3 kBrun-2/checkpoint-1054/rng_state.pth 14.3 kBrun-2/checkpoint-527/rng_state.pth 14.3 kBrun-0/checkpoint-1054/training_args.bin 4.7 kBrun-0/checkpoint-4216/training_args.bin 4.7 kBrun-0/checkpoint-527/training_args.bin 4.7 kBrun-0/checkpoint-5270/training_args.bin 4.7 kBrun-1/checkpoint-1054/training_args.bin 4.7 kBrun-1/checkpoint-4216/training_args.bin 4.7 kBrun-1/checkpoint-4743/training_args.bin 4.7 kBrun-1/checkpoint-527/training_args.bin 4.7 kBrun-2/checkpoint-1054/training_args.bin 4.7 kBrun-2/checkpoint-527/training_args.bin 4.7 kBtraining_args.bin 4.7 kBrun-0/checkpoint-1054/scheduler.pt 1.1 kBrun-0/checkpoint-4216/scheduler.pt 1.1 kBrun-0/checkpoint-527/scheduler.pt 1.1 kBrun-0/checkpoint-5270/scheduler.pt 1.1 kBrun-1/checkpoint-1054/scheduler.pt 1.1 kBrun-1/checkpoint-4216/scheduler.pt 1.1 kBrun-1/checkpoint-4743/scheduler.pt 1.1 kBrun-1/checkpoint-527/scheduler.pt 1.1 kBrun-2/checkpoint-1054/scheduler.pt 1.1 kBrun-2/checkpoint-527/scheduler.pt 1.1 kBThis model is a fine-tuned version of google/bert_uncased_L-2_H-128_A-2 on the glue dataset. It achieves the following results on the evaluation set:
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The following hyperparameters were used during training:
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 2.4226 | 1.0 | 527 | 1.7918 | 0.7844 |
| 1.5656 | 2.0 | 1054 | 1.6692 | 0.7947 |