Model save

README.md

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+---
+license: apache-2.0
+base_model: google/bigbird-roberta-large
+tags:
+- generated_from_trainer
+model-index:
+- name: bigBird-large-fine-tuning-squad-B8R3_nobias
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# bigBird-large-fine-tuning-squad-B8R3_nobias
+
+This model is a fine-tuned version of [google/bigbird-roberta-large](https://huggingface.co/google/bigbird-roberta-large) on an unknown dataset.
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 1e-05
+- train_batch_size: 4
+- eval_batch_size: 8
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 2
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 16
+- total_eval_batch_size: 16
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 4.0
+- mixed_precision_training: Native AMP
+
+### Training results
+
+
+
+### Framework versions
+
+- Transformers 4.43.0.dev0
+- Pytorch 1.12.1+cu113
+- Datasets 2.20.0
+- Tokenizers 0.19.1

all_results.json

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+    "eval_exact_match": 87.5,
+    "eval_f1": 90.98214285714286,
+    "eval_model_preparation_time": 0.0063,
+    "eval_runtime": 9.1144,
+    "eval_samples": 64,
+    "eval_samples_per_second": 7.022,
+    "eval_steps_per_second": 0.439
+}

eval_nbest_predictions.json

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eval_results.json

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+{
+    "eval_exact_match": 87.5,
+    "eval_f1": 90.98214285714286,
+    "eval_model_preparation_time": 0.0063,
+    "eval_runtime": 9.1144,
+    "eval_samples": 64,
+    "eval_samples_per_second": 7.022,
+    "eval_steps_per_second": 0.439
+}

log/events.out.tfevents.1724034030.isl-gpu4.1061235.0

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model.safetensors

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runs/events.out.tfevents.1723957897.isl-gpu4.419911.0

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