End of training

README.md

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+---
+library_name: transformers
+license: mit
+base_model: nreimers/MiniLM-L6-H384-uncased
+tags:
+- generated_from_trainer
+model-index:
+- name: my_great_qa_model
+  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. -->
+
+# my_great_qa_model
+
+This model is a fine-tuned version of [nreimers/MiniLM-L6-H384-uncased](https://huggingface.co/nreimers/MiniLM-L6-H384-uncased) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.2379
+
+## 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: 2e-05
+- train_batch_size: 16
+- eval_batch_size: 16
+- 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: 3
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| No log        | 1.0   | 250  | 2.7048          |
+| 2.9942        | 2.0   | 500  | 2.3563          |
+| 2.9942        | 3.0   | 750  | 2.2379          |
+
+
+### Framework versions
+
+- Transformers 4.48.3
+- Pytorch 2.5.1+cu124
+- Datasets 3.3.2
+- Tokenizers 0.21.0

runs/Feb22_10-20-27_1a29da9bfe63/events.out.tfevents.1740219632.1a29da9bfe63.427.0

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