Model save

README.md

@@ -0,0 +1,53 @@
+---
+library_name: transformers
+license: apache-2.0
+base_model: albert/albert-base-v2
+tags:
+- generated_from_trainer
+model-index:
+- name: squad_albert_finetuned3
+  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. -->
+
+# squad_albert_finetuned3
+
+This model is a fine-tuned version of [albert/albert-base-v2](https://huggingface.co/albert/albert-base-v2) 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: 3e-05
+- train_batch_size: 2
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- num_epochs: 1.0
+
+### Training results
+
+
+
+### Framework versions
+
+- Transformers 4.48.1
+- Pytorch 2.5.1
+- Datasets 3.2.0
+- Tokenizers 0.21.0

all_results.json

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config.json

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+{
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eval_predictions.json

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eval_results.json

@@ -0,0 +1,9 @@
+{
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+}

full_predict_tr_results.json

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predict_predictions.json

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predict_tr_results.json

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special_tokens_map.json

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tokenizer_config.json

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train_results.json

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trainer_state.json

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training_args.bin

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